Colombia Coca Cultivation Survey June 2006

Government of Colombia

Colombia Coca Survey for 2005

Abbreviations

CICAD Inter-American Drug Abuse Control Commission COP Colombian Pesos DANE National Department of Statistics DEA US Drugs Enforcement Agency DIRAN Colombian Anti-Narcotics Police DNE National Narcotics Office DNP National Planning Department ICMP Illicit Crop Monitoring Programme INCB International Narcotics Control Board IDB Inter-American Development Bank IDP Internally Displaced People PDA Alternative Development Programme PCI Presidential Programme against Illicit Crops RSS Colombian Social Solidarity Net SIMCI II Integrated Illicit Crops Monitoring System UIAF Special Administrative Unit on Information and Financial Analysis UNODC United Nations Office on Drugs and Crime. US$ United States Dollars

Acknowledgements The following organizations and individuals contributed to the implementation of the 2005 coca cultivation survey in Colombia, and to the preparation of the present report:

Government of Colombia:

Ministry of Interior and Justice National Narcotics Office -DNE Colombian Anti-Narcotics Police -DIRAN Ministry of Defence Colombia Agency for International Cooperation –ACCI Presidential Agency for Social Action and International Cooperation

UNODC:

Rodolfo Llinás, SIMCI Project Coordinator Orlando González, Digital Processing Expert Sandra Rodríguez, Digital Processing Expert Zully Sosa, Digital Processing Expert Maria Isabel Velandia, Digital Processing Expert Martha Paredes, Research and Analysis Expert Leonardo Correa, Field Engineer Juan Carlos Parra, Editing Engineer Martha Luz Gutierrez, Administrative Assistant Javier Espejo, Assistant Engineer Juan Pablo Ardila, Assistant Engineer

Sandro Calvani, Representative for Colombia Guillermo Garcia, National Programme Officer

Coen Bussink, Remote Sensing and GIS expert (UNODC – Research and Analysis Section - ICMP) Denis Destrebecq, Regional Illicit Crop Monitoring Expert (UNODC – Research and Analysis Section - ICMP) Anja Korenblik, Programme Manager (UNODC – Research and Analysis Section - ICMP) Thibault le Pichon, Chief (UNODC – Research and Analysis Section) Thomas Pietschmann, Research Officer (UNODC-Research and Analysis Section) Martin Raithelhuber, Programme Officer (UNODC-Research and Analysis Section) Javier Teran, Statistician (UNODC – Research and Analysis Section – ICMP)

The implementation of UNODC’s Illicit Crop Monitoring Programme in the Andean countries and the Colombia survey in 2005 was made possible thanks to financial contributions from the Governments of The United States of America (USAID), The Netherlands and United Kingdom.

2 Colombia Coca Survey for 2005

PREFACE

The world’s appetite for cocaine remains stable but uneven, declining in the United States while increasing in Europe. In 2005 more than two thirds of the supply came from Colombia (640 tons), where coca cultivation increased by 8% over 2004: a discouraging outcome taking into account the resolute efforts of the Colombian Government to eradicate this illicit cultivation.

However, this increase should be kept in perspective. The overall level of coca cultivation in Colombia remains almost 50% below the peak recorded in 2000. Furthermore, country-wide aerial eradication has become more difficult due to a growingly aggressive insurgency fuelled by the narco-economy (and vice versa).

A further factor affected this Colombia coca crop survey for 2005: the need for UNODC – in co-operation with the Government – to develop a state of the art technique to measure (i.) the productivity of coca fields (coca leaves yield per hectare), and (ii.) the productivity of coca crops (hydrochloride yield per ton of leaves). In both instances it was found that current Colombia crops are more productive than previously estimated. As a result, Colombian cocaine production figures for 2004 and 2005 have been revised upwards to take into account this new evidence.

These higher figures for the cocaine yield in Colombia suggest that there is more cocaine on the international market than previously believed. This may help explain why the price for cocaine has not gone up and the purity of doses has not declined on the streets of consuming nations, despite the halving in cultivation since 2000, the massive number of labs destroyed (1,953 in Colombia alone in 2005), and the dramatic (and still under-appreciated) increase in seizures world wide.

Clearly, the 2005 increase of the area under cultivation (+6,000 ha) despite large-scale aerial eradication (139,000 ha) is a warning signal to the Colombian government and to those, like UNODC, that have participated in the joint drug control efforts.

This signal should alert us to refine drug control policies in Colombia in order to take into account the more challenging security environment, and the inevitable difficulty of destroying coca fields fragmented in size, dispersed on steep mountain slopes, embedded in protected national parks, and grown in proximity to international borders.

The overriding strategy of putting an end to coca cultivation through eradication must be pursued relentlessly. However, there should be a change in tactics using finer and more sustainable instruments. In particular, the second strong popular mandate received by President Uribe should make it possible for his new government to launch a major drive in favour of greater assistance to farmers in coca cultivation areas, accompanied by structural policies devised to redistribute land (especially land seized from drug lords) to internally displaced people. In Colombia, like in other countries, poverty in the countryside and lack of government control in many areas enable large-scale illicit activity and the resulting violence.

While aerial spraying is cost-effective and keeps pressure on insurgents and organized crime, coca farmers need to be convinced to eradicate their own fields. Voluntary eradication backed up by strong economic incentives would give farmers a greater sense of ownership in the government’s zero-coca policies, and increase the chances of long-term success.

The international community must share the responsibility for reducing the world’s biggest supply of cocaine. Cocaine consuming nations need to reduce demand for the drug, especially in Europe where abuse is rising. I invite them all to be more generous towards Colombia.

Antonio Maria Costa Executive Director United Nations Office on Drugs and Crime

3 Colombia Coca Survey for 2005

TABLE OF CONTENT

1 INTRODUCTION...... 8 2 FINDINGS...... 10

2.1 CULTIVATION ...... 10 2.1.1 Coca Cultivation...... 10 2.1.1.1 Regional analysis...... 19 2.1.1.2 Meta-Guaviare region...... 21 2.1.1.3 Pacific region...... 23 2.1.1.4 Central region ...... 25 2.1.1.5 Putumayo-Caqueta region...... 27 2.1.1.6 Orinoco region...... 29 2.1.1.7 Amazonia region...... 31 2.1.1.8 Sierra Nevada region ...... 33 2.1.1.9 Possible areas of new cultivation...... 35 2.1.1.10 Coca plant varieties...... 37 2.1.1.11 Coca cultivation and poverty ...... 41 2.1.1.12 Coca cultivation and displacement ...... 43 2.1.1.13 Coca cultivation and the forest warden families programme...... 45 2.1.1.14 Coca cultivation in National Parks...... 47 2.1.2 Reported Opium Poppy Cultivation...... 50 2.2 NEW FINDINGS ON YIELD AND PRODUCTION ...... 53 2.2.1 Coca leaf yield and coca leaf production ...... 53 2.2.2 Annual yield...... 55 2.2.3 Coca leaf, coca paste and base production ...... 63 2.2.4 Revised Potential Cocaine production...... 68 2.2.5 Opium latex and heroin production...... 70 2.3 PRICES...... 71 2.3.1 Coca leaf, coca base and cocaine prices ...... 71 2.3.2 Opium latex and heroin prices...... 76 2.4 REPORTED AERIAL SPRAYING AND MANUAL ERADICATION...... 78 2.5 REPORTED SEIZURE...... 83 3 METHODOLOGY ...... 89

3.1 COCA CULTIVATION...... 89 3.2 OPIUM POPPY CULTIVATION ...... 99 3.3 YIELD AND PRODUCTION...... 100 3.4 PRICES...... 110 4 ANNEX ...... 111

4 Colombia Coca Survey for 2005

Index of Maps

Map 1: Coca cultivation density in Colombia, 2005...... 9 Map 2: Coca cultivation density change in Colombia, 2004-2005 ...... 12 Map 3: Coca cultivation density in Colombia, 2004...... 14 Map 4: Coca cultivation density in Colombia, 2005...... 14 Map 5: Changes in coca cultivation in Colombia, 2001- 2005 ...... 15 Map 6: Coca cultivation density in the Andean region, 2005 ...... 16 Map 7: Coca cultivation by region in Colombia, 2001-2005...... 18 Map 8: Coca cultivation density in the Meta-Guaviare region, Colombia 2005...... 20 Map 9: Coca cultivation density in the Pacific region, Colombia 2005...... 22 Map 10: Coca cultivation density in the Central region, Colombia 2005 ...... 24 Map 11: Coca cultivation density in the Putumayo-Caqueta region, Colombia 2005 ...... 26 Map 12: Coca cultivation density in the Orinoco region, Colombia 2005...... 28 Map 13: Coca cultivation density in the Amazonia region, Colombia 2005 ...... 30 Map 14: Coca cultivation density in the Sierra Nevada region, Colombia 2005 ...... 32 Map 15: Distribution of coca plants varieties in Colombia, 2005...... 36 Map 16: Index of livelihood conditions by department in 2003 and coca cultivation in Colombia, 2005...... 40 Map 17: Internal people displaced because of violence between 2000 and 2005...... 42 Map 18: Forest Warden Families Programme and coca cultivation in Colombia, 2005...... 44 Map 19: National Parks and coca cultivation in Colombia, 2005...... 46 Map 20: Aerial perspective of the National Park Sierra de La Macarena and coca cultivation in 2005...... 49 Map 21: Coca yield by region in Colombia, 2005 ...... 52 Map 22: Annual coca leaf production in Colombia, 2005 ...... 62 Map 23: Aerial spraying and coca cultivation in Colombia, 2005...... 80 Map 24: Destruction of clandestine laboratories and coca cultivation in Colombia, 2005...... 85 Map 25: Drug seizures by department and by drug type, Colombia 2005...... 87 Map 26: Satellite images used for the Colombian coca cultivation survey 2005...... 91 Map 27: Study area distributed by region and Colombia coca cultivation, 2005...... 95 Map 28: Sample selection for yield survey by regions in Colombia, 2005...... 101

5 Colombia Coca Survey for 2005

SUMMARY FACTS SHEET

2004 Variation 2005

Net coca cultivation (rounded total) 80,000 hectares + 8% 86,000 hectares Of which Meta-Guaviare region 28,500 hectares - 9% 25,970 hectares Pacific region 15,800 hectares + 12% 17,650 hectares Central region 15,100 hectares + 4% 15,630 hectares Putumayo-Caqueta region 10,900 hectares +28% 13,950 hectares Elsewhere 10,100 hectares +24% 12,570 hectares Reported accumulated aerial spraying of 136,550 hectares + 2 % 138,775 hectares coca bush Reported manual eradication of coca bush 2,589 hectares 31,285 hectares US$ 810 /kg + 12 % US$ 910 /kg Average farm-gate price of coca paste COP 2,119,000 /kg - 0.5% COP 2,109,000 /kg Total farm-gate value of the production of coca leaf US$ 843 million and derivatives in percent of GDP (US$ 122 billion in 2005) 0.7% in percent of GDP of agricultural sector 6% (US$ 13.8 billion in 2005) Number of households involved in coca 68,600 cultivation households Annual household gross income from the US$ 12,300 production of coca leaf and its derivatives Annual use of fertilizers, herbicides and ~85,000 mt pesticides on coca fields ~12 million litters Potential production of cocaine 6401 mt 640mt In percent of world cocaine production 68 % 70 % US$ 1,713 /kg + 9% US$ 1,860/kg Average cocaine price COP 4,600,000 /kg - 6% COP 4,315,000/kg Reported opium poppy cultivation (rounded) 3,950 hectares - 51% 1,950 hectares Potential opium latex production 119 mt - 50% 59 mt Potential heroin production 5 mt - 50% 2.5 mt Average farm-gate price of opium latex US$ 164 /kg + 40% US$ 230 /kg Average heroin price US$ 7,635 /kg + 19% US$ 9,050/kg Reported seizure of cocaine 149,297 kg + 16% 173,265 kg Reported seizure of heroin 773 kg - 4% 745 kg Reported destruction of illegal laboratories2 1,865 + 5% 1,953

1 Cocaine production for 2004 has been revised following the field findings obtained in 2005. 2 Includes laboratories processing coca paste/base, cocaine hydrochloride, heroin, morphine, potassium, permanganate, and non specified. 6 Colombia Coca Survey for 2005

EXECUTIVE SUMMARY

Through its global Illicit Crop Monitoring Programme, UNODC has been assisting the Colombian Government in the implementation and refinement of a national coca monitoring system since 1999. Annual surveys have been produced since then and the present report provides the findings of the coca survey for 2005.

The results of the survey showed that, at the end of December 2005, 86,000 hectares of coca were cultivated in 23 out of the 32 Colombian departments. This represents an increase of 6,000 hectares (or + 8%) since 2004 when coca cultivation reached 80,000 hectares. This was the first annual increase recorded after four consecutive annual decreases between 2000 and 2004. The 2005 level of coca cultivation remained however much lower (- 47%) than the peak level of 163,000 hectares recorded in 2000.

The most important increase between 2004 and 2005 took place in the region of Putumayo- Caqueta (+28%). However, most of coca cultivation continued to take place in the region of Meta- Guaviare (30% of the country’s cultivation). In fact, 78% of the 2005 cultivation took place in just seven departments, the same seven departments that also accounted for 78% of 2004 total cultivation: Meta, Nariño, Putumayo, Guaviare, Vichada, Antioquia and Caqueta.

It was also noted that the average field size decreased from 1.30 hectares in 2004 to 1.13 hectares in 2005. This could reflect farmers’ attempts to avoid detection and aerial spraying. Between 2004 and 2005, aerial spraying continued to be intense and was above 130,000 hectares for the fourth consecutive year. In 2005, a total of 138,775 hectares were sprayed. In addition, the government also reported the manual eradication of 31,285 hectares, a record compared to previous levels of 2,600 hectares in 2004 and 4,011 hectares in 2003. The total of both types of eradication (spraying and manual) amounted to 170,060 hectares in 2005.

Between May 2005 and February 2006, the Colombian Government jointly with UNODC implemented a coca leaf yield survey in Colombia. Samples of fresh coca leaves were harvested from 746 coca plots selected among 463 coca fields, and 1,389 coca farmers were interviewed. The results of this survey indicated that the coca leaf yield were higher than previously thought, establishing at 6,300 kg/hectare/yr of fresh coca leaf (equivalent to 2,700 kg/hectare/yr of sun-dried coca leaf). With the information provided by the farmers, the average annual yield per hectare for pure cocaine hydrochloride reached 7.7 kg/hectare, compared to 4.7 kg/hectare previously used.

At the farm-gate level, the illegal market of coca leaf and its derivatives amounted to a gross-value of US$ 843 million, equivalent to 0.7% of the 2005 GDP and 6% of the GDP of the agricultural sector. It should be noted however that this value does not take into account production costs like herbicides, pesticides, fertilizers and wages. The coca leaf yield survey also enabled to estimate the total number of households involved in coca farming at about 68,600 households. The farm gate value thus represents an annual gross income per household of US$12,300, equivalent to an annual per capita gross income of US$ 2,500. By comparison, the GDP per capita in Colombia in 2005 was estimated by the National Department of Statistics at US$ 2,700.

With the results of the field survey, it was possible to estimate that coca farmers used about 85,000 metric tons of fertilizers and pesticides in their coca fields in 2005, together with about 12 million liters of fertilizers, pesticides and herbicides. It was also interesting to note that 129,000 liters of glyphosate and round-up were sprayed by farmers on their coca fields, two herbicides used in the aerial spraying of coca cultivation. However farmers’ concentrations were probably lower than the concentration used for aerial spraying.

7 Colombia Coca Survey for 2005 1 INTRODUCTION

The objectives of UNODC’s Illicit Crop Monitoring Programme (ICMP) are to establish methodologies for data collection and analysis, to increase the governments’ capacity to monitor illicit crops on their territories and to assist the international community in monitoring the extent and evolution of illicit crops in the context of the elimination strategy adopted by the Member States at the U.N. General Assembly Special Session on Drugs in June 1998. ICMP presently covers seven countries: Colombia, Bolivia and Peru for coca; Afghanistan, Laos and Myanmar for opium and Morocco for cannabis.

During the 1980’s and 1990’s, Colombia became the country with the largest illicit coca growing area and cocaine production in the world. Illicit coca cultivation in the country expanded steadily throughout this period, in particular in remote areas of the Amazon basin. Although, coca cultivation started to decrease in 2001, Colombia still remains the largest coca-growing country in the world.

UNODC has supported the monitoring of illicit crops since 1999, and has produced seven annual surveys. In October 2003, UNODC signed a new agreement with the Colombian government to continue and expand monitoring and analysis work. In this context, the SIMCI II project has established to facilitate the implementation of additional tasks in the framework of an integrated approach to the analysis of the drug problem in Colombia. The project also supports the monitoring of related problems such as fragile ecosystems, natural parks, indigenous territories, the expansion of the agricultural frontier and deforestation. It provides Geographic Information System support to the government’s alternative development projects and it’s Forest Families Warden Programme.

The new project foresees the creation of an Inter-Institutional Committee permanently assigned to the project in order to ensuring the transfer of know how to the national beneficiary institutions. SIMCI II is a joint project between UNODC and the Colombian government, represented by Ministry of Interior and Justice and the International Cooperation Agency. The national counterpart and director of the project is the head of the Ministry of Interior and Justice.

The project is managed by a technical coordinator and composed of engineers and technicians: four digital image processing specialists, one field engineer, a cartographic technician, a research and analysis specialist, two assistant engineers and an administrative assistant. The team is integrated on permanent basis by technicians from DIRAN and National Parks Administration it supports several studies and investigations for government and private institutions, related to land use, environment, licit crops, etc. SIMCI provides to their experts, access to its Spatial Information Data Bank, transfer of technology and guidance to achieve their goals. Organizations that benefited from SIMCI support include DANE, local governments, the National Federation of Coffee Growers, NGO’s as well as other UN agencies and projects.

8 Coca cultivation density in Colombia, 2005

75°W 70°W

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Source: Government of Colombia - National monitoring system supported by UNODC The boundaries and names shown and the designations used in this map do not imply official endorsement or acceptance by the United Nations Colombia Coca Survey for 2005 2 FINDINGS

2.1 CULTIVATION

2.1.1 COCA CULTIVATION

In 2005, the total area under coca cultivation in Colombia increased by 6,000 hectares, a 8% increase compared to previous year’s estimate of 80,000 hectares. This is the first increase following four consecutive years of annual decreased in Colombia, between 2000 and 2004. During that period, coca cultivation decreased by 51% and the 2005’s area under coca cultivation is 47% lower compared to the peak annual estimate of 163,000 hectares in 2000.

Similarly to the previous four surveys, the 2005 survey represented the situation as of the end of the year, in this case as of December 2005. As was the case last year, it covered the whole country and detected coca cultivation in 23 departments out of 32. In 2005, the area under coca cultivation represents 0.08% of the total territory.

Figure 1. Coca cultivation in Colombia, 1995 – 2005 (in hectares)

160,000

140,000

120,000

100,000

80,000 Hectares

60,000

40,000

20,000

- 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Hectares 51,000 67,000 79,000 102,000 160,000 163,000 145,000 102,000 86,000 80,000 86,000

Sources United States Department of State National Monitoring System Supported by UNODC

The increase in coca cultivation between 2004 and 2005 took place despite high level of aerial spraying, which in 2005 reached 138,780 hectares. In fact, aerial spraying of coca cultivation has remained above 130,000 hectares since 2002. In 2005, the Colombian Government also reported the additional manual eradication of 31,285 hectares of coca cultivation. This level of manual eradication was unprecedented, as it only reached 2,700 hectares in 2003 and 4,000 hectares in 2004.

10 Colombia Coca Survey for 2005

Table 1: Stable and new fields of coca bush in 2005

Identified in 2004 and 2005 Not detected in 2004 Total 2005

Region % of % of % of % of Number Area Number Area Total Total Area total total total total of fields (hectares) of fields (hectares) Fields (hectares) fields area fields area Meta-Guaviare 7,958 42 7,896 30 10,801 58 18,066 70 18,759 25,963 Pacific 5,609 33 3,829 22 11,551 67 13,803 78 17,160 17,633 Central 4,067 30 2,662 17 9,340 70 12,970 83 13,407 15,632 Putumayo- 2,969 27 2,831 20 8,028 73 11,121 80 10,997 13,951 Caquetá Orinoquia 2,386 49 3,076 32 2,488 51 6,634 68 4,874 9,709 Amazonia 575 38 708 31 953 62 1,612 70 1,528 2,320 Sierra Nevada 195 34 112 21 386 66 430 80 581 542 TOTAL 23,759 35 21,114 25 43,547 65 64,636 75 67,306 85,750

The comparison of the position of the coca fields in 2004 and 2005 revealed that about 65% of the fields were in a different position or at least not observed in 2004 for various reasons (aerial spraying, recently harvested, recently planted, etc) and therefore not in production and not accounted for in the 2004 census. This is to say that not necessary all of these coca fields can be qualified as new fields planted in 2005 because its identification as new is not referred to the age of the cultivation but to the position of the field.

For a better assessment of the dynamic of coca cultivation in Colombia, a comparison was made between the position of the coca fields identified in 2005 and the position of the fields identified between 2001 and 2004. In total, 44% of the fields identified in 2005 had never been detected before. Such observation suggests a high mobility of coca cultivation in Colombia.

Table 2: Stable and new fields of coca bush in 2001-2005

Stable 2001-2005 New in 2005 Total 2005

Region % of % of % of % of Number Area Number Area Total Total Area total total total total of fields (hectares) of fields (hectares) Fields (hectares) fields area fields area Meta-Guaviare 12,728 68 12,516 48 6,031 32 13,446 52 18,759 25,963 Pacific 8,750 51 5,744 33 8,410 49 11,888 67 17,160 17,633 Putumayo- 6,160 56 6,178 40 4,837 44 9,454 60 10,997 15,632 Caquetá Central 5,806 43 3,387 24 7,601 57 10,565 76 13,407 13,951 Orinoquia 3,106 64 4,487 46 1,768 36 5,223 54 4,874 9,709 Amazonia 786 51 997 43 742 49 1,323 57 1,528 2,320 Sierra Nevada 259 45 151 28 322 55 391 72 581 542 TOTAL 37,595 56 29,840 39 29,711 44 52,290 61 67,306 85,750

The analysis of the census data also showed that the average coca field size decreased from 1.3 hectares in 2004 to 1.13 hectares in 2005 (-13%). A possible explanation could be that farmers are reducing the size of their coca fields to avoid detection and aerial spraying.

11 Coca cultivation density change in Colombia, 2004 - 2005

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Colombia

Caribbean Sea

South America La Guajira Barranquilla Atlántico Magdalena Cartagena

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P AN Bolívar A Sucre M A VENEZUELA Córdoba Norte de Santander Cucutá

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Strong decrease Decrease PERU Stable Increase Leticia Strong increase 0300150 International boundaries km Geographic coordinates WGS 84 5°S

Department boundaries 5°S 75°W 70°W

In absolute numbers, the most important increases of coca crops between 2004 and 2005 were noted in the departments of Putumayo (+ 4,600 hectares) in the Southern part of the country and Vichada (+3,100 hectares) in the Orinoco region bordering Venezuela. The increase in Putumayo corresponded to doubling the area under coca cultivation between 2004 and 2005, from 4,390 hectares to 8,960 hectares. Putumayo used to be the centre of coca cultivation, with 66,000 hectares in 2000. Coca cultivation had strongly declined until 2004, but this year’s increase could indicate a return of farmers to coca cultivation.

The largest reductions of coca crops took place in the departments of Norte de Santander (- 2,200 hectares) and Caqueta (- 1,500 hectares). The strong decrease in Norte de Santander, at the border with Venezuela, meant that there was a small coca cultivation left in 2005 in this department, with less than 1,000 hectares. In 2005 Norte de Santander was among the departments with the lowest levels of coca cultivation.

Compared to 2004, Meta – despite a decrease of 1,430 hectares - and Nariño remained the first two departments in terms of coca cultivation, together accounting for 36% of the total area under coca cultivation in the country. In fact 78% of the 2005 cultivation took place in just seven departments, the same seven departments that also accounted for 78% of 2004 total cultivation: Meta, Nariño, Putumayo, Guaviare, Vichada, Antioquia and Caqueta.

Table 3: Coca cultivation by department in Colombia, 1999 – 2005 (hectares)

% of Mar- Aug- Nov- Dec- Dec- Dec- Dec- % Change Department 2005 1999 2000 2001 2002 2003 2004 2005 2004-2005 total Meta 11,384 11,123 11,425 9,222 12,814 18,740 17,305 -8% 20% Nariño 3,959 9,343 7,494 15,131 17,628 14,154 13,875 -2% 16% Putumayo 58,297 66,022 47,120 13,725 7,559 4,386 8,963 104% 10% Guaviare 28,435 17,619 25,553 27,381 16,163 9,769 8,658 -11% 10% Vichada 4,935 9,166 4,910 3,818 4,692 7,826 67% 9% Antioquia 3,644 2,547 3,171 3,030 4,273 5,168 6,414 24% 7% Caquetá 23,718 26,603 14,516 8,412 7,230 6,500 4,988 -23% 6% Bolívar 5,897 5,960 4,824 2,735 4,470 3,402 3,670 8% 4% Córdoba 1,920 117 652 385 838 1,536 3,136 104% 4% Cauca 6,291 4,576 3,139 2,120 1,443 1,266 2,705 114% 3% Arauca 978 2,749 2,214 539 1,552 1,883 21% 2% Chocó 250 354 453 323 1,025 219% 1% Santander 2,826 415 463 632 1,124 981 -13% 1% Amazonas 532 784 625 783 897 15% 1% N. de Santander 15,039 6,280 9,145 8,041 4,471 3,055 844 -73% 1% Guainía 853 1,318 749 726 721 752 4% 1% Vaupés 1,014 1,493 1,918 1,485 1,157 1,084 671 -38% 1% Boyacá 322 245 118 594 359 342 -5% 0.4% Guajira 321 385 354 275 556 329 -41% 0.4% Magdalena 521 200 480 644 484 706 213 -70% 0.2% Caldas 54 358 189 -47% 0.2% Cundinamarca 66 22 57 57 71 56 -15% 0.1% Valle del Cauca 76 184 111 37 45 28 -33% 0.03% TOTAL 160,119 162,510 144,807 102,071 86,340 80,350 85,750 +6.7% Rounded Total 160,000 163,000 145,000 102,000 86,000 80,000 86,000 + 7% Department 12 21 22 21 23 23 23 affected Country coverage 12% 41% 100% 100% 100% 100% 100% 100%

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M (ha/km²) A Pasto N Nariño

Colombia A ECUADOR Department boundaries P International boundaries Cultivation density

Pacific Ocean 10°N 5°N 0° 5°S Tumaco Source: Government of ColombiaThe boundaries - and names National shown monitoring and system the designations supported used by in UNODC this map do not imply official endorsement or acceptance by the United Nations Changes in coca cultivation in Colombia, 2001 - 2005

75°W 70°W

Colombia Caribbean Sea

La South America Guajira Barranquilla

Atlántico Magdalena Cartagena

Cesar 10°N

R 10°N

M a g d al ena P AN Bolívar A Sucre M A VENEZUELA Córdoba Norte de Santander Cucutá

Arauca

Antioquia

c Santander o

u Arauca

a Puerto

r a

t C A

o Carreño

o í R rauca í ío A R R Medellín o oc in r Boyacá O

Chocó í Casanare R a t e Caldas M Vichada ío R 5°N 5°N Risaralda Cundinamarca Pacific a Quindío ichad Ocean Bogotá Río V Tol im a re avia Valle Gu Cali Meta Río

n le Neiva rida a ní Cauca d I Guainía g ío a San José R M o Popayán í R Huila Tumaco Florencia Guaviare Nariño Mitú Pasto Caquetá Vaupés Puerto Asís Putumayo 0° 0° Río Caqu etá

R ío P u tum ECUADOR a yo

Amazonas

BRAZIL

PERU Rí o Am az on Abandonned coca fields as Stable coca fields Leticia New coca fields 0300150 International boundaries km Geographic coordinates WGS 84 5°S Department boundaries 5°S 75°W 70°W

Colombia Coca Survey for 2005

In 2005, coca cultivation in Colombia represented 70% of the world coca cultivation, while Peru and Bolivia represented respectively 20% and 10%. The global level of coca cultivation remained stable between 2004 and 2005, as the increase in Colombia was offset by decreases in Peru and Bolivia.

Figure 2. Coca cultivation in the Andean region 1995 - 2005 (in hectares)

250,000

200,000

150,000 hectares 100,000

50,000

0 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005

Bolivia Colombia Peru

Table 4: Coca cultivation in the Andean region 1995 - 2005 (in hectares)

% Change 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2004-2005 Bolivia 48,600 48,100 45,800 38,000 21,800 14,600 19,900 21,600 23,600 27,700 25,400 -8% Peru 115,300 94,400 68,800 51,000 38,700 43,400 46,200 46,700 44,200 50,300 48,200 -4% Colombia 51,000 67,000 79,000 102,000 160,000 163,000 145,000 102,000 86,000 80,000 86,000 8%

Total 214,900 209,500 193,600 191,000 220,500 221,000 211,100 173,100 153,800 158,000 159,600 1%

Sources United States Department of State National Monitoring System Supported by UNODC

17 Coca cultivation by region in Colombia, 2001 - 2005

75°W 70°W

Colombia Caribbean Sea

La Guajira

0 4

South America 5 Barranquilla Atlántico Cartagena Sierra Nevada N N ° ° 0 0

Cesar 1 1 Magdalena

P VENEZUELA AN Sucre A Bolívar M A Norte de Córdoba Santander

Cucutá

6 ,

5 Arauca 1

Antioquia Santander Medellín Arauca Central Puerto Carreño

Boyacá 0

Chocó Casanare 1 7

Caldas , 9 N N ° ° 5 5 Risaralda Cundinamarca Valle Pacific Quindío Orinoco 0 Vichada

3 Bogotá

Ocean 6 ,

7 Tolima 1

Cali

Meta 0

, 5

Neiva 2 Pacific Guainía Huila PopaCyaáunca Meta - Tumaco Nariño Florencia Guaviare Guaviare 0 Vaupés Mitú

Caquetá 5 9

Pasto , 3

Puerto 0

1 2

Asís 3

Putumayo , 2 Putumayo - ° ° 0 0 Caquetá Amazonia BRAZIL

ECUADOR

Amazonas

Coca cultivation (ha) PERU 2001 2002 2003 2004 Leticia 2005 0 150 300 km S

International boundaries Geographic coordinates WGS 84 S ° ° 5 5 Department boundaries 75°W 70°W

2.1.1.1 Regional analysis

In 2005, 46% of the coca cultivation in Colombia took place in the two traditional coca growing regions of Meta-Guaviare and Putumayo-Caqueta, both situated in the south-eastern part of the country. In absolute terms, the largest increases took place in Orinoco (+ 3,459 hectares), in the north-eastern part of the country bordering Venezuela, and Putumayo-Caqueta (+ 3,063 hectares), a traditional region for coca cultivation, bordering Ecuador. An important decrease of coca cultivation took place in the northern region of Sierra Nevada (- 57%), but in absolute numbers, this only represented a decrease of 540 hectares. Coca cultivation remained relatively stable (between +/- 10%) in Meta-Guaviare and the central region.

Table 5: Coca cultivation in Colombia by region 2001 - 2005 (in hectares)

% % of Change Region 2001 2002 2003 2004 2005 2005 2004 - total 2005 Meta-Guaviare 36,978 36,603 28,977 28,507 25,963 -9% 30% Pacific 11,171 17,362 19,561 15,789 17,633 12% 21% Central 18,474 14,829 15,389 15,081 15,632 4% 18% Putumayo- 61,636 22,137 14,789 10,888 13,951 28% 16% Caqueta Orinoco 11,915 7,124 4,357 6,250 9,709 55% 11% Amazonia 3,768 3,018 2,508 2,588 2,320 -10% 3% Sierra Nevada 865 998 759 1,262 542 -57% 1% Rounded Total 145,000 102,000 86,000 80,000 86,000 7% 100%

Figure 3. Coca cultivation in Colombia by region 2001 - 2005 (in hectares)

60,000

50,000

40,000

30,000 hectares

20,000

10,000

- Meta- Pacific Central Putumayo- Orinoco Amazonian Sierra Nevada Guaviare Caqueta 2001 2002 2003 2004 2005

19 Coca cultivation density in the Meta-Guaviare region, Colombia 2005

74°W 72°W Arauca Antioquia Santander

MA PANA VENEZUELA COLOMBIA 6°N 6°N

Caldas

Boyacá

ECUADOR BRAZIL PERU Yopal Casanare

Cundinamarca Bogotá

Cabuyaro Puerto Cumaral Gaitán Vichada a ichad Puerto López ío V Acacias Villavicencio R 4°N 4°N a Guamal et San Carlos M San Luis de ío Guaroa R Tolima Cubarral El Castillo San Martín

San Mesetas Juan de Arama Meta Huila Puerto Lleras Mapiripán La Vista Uribe uaviare Hermosa Río G Puerto Puerto Rico Concordia San José San José Guainía del Guaviare

La da Iníri Macarena Río

El Retorno 2°N 2°N Guaviare

Calamar R í o V au p e s Miraflores Miraflores Vaupés Mitú

Vaupés Caquetá Cultivation density (ha/km²)

n uá ag 0.1 - 1.0 o C Rí 1.1 - 2.0 0° 2.1 - 4.0 0° 4.1 - 8.0 Río Caq Putumayo uetá >8 Amazonas International boundaries Department boundaries R í o P u Municipality boundaries t u 0200 m 100 a km Roads yo PERU Geographic coordinates WGS 84 Meta Guaviare Region 74°W 72°W

Source: Goverment of Colombia - National monitoring system supported by UNODC The boundaries and names shown and the designations used in this map do not imply official endorsement or acceptance by the United Nations Colombia Coca Survey for 2005

2.1.1.2 Meta-Guaviare region

Table 6: Coca cultivation in Meta-Guaviare, 1999 – 2005

% Change Department 1999 2000 2001 2002 2003 2004 2005 2004-2005 Meta 11,384 11,123 11,425 9,222 12,814 18,740 17,305 -8% Guaviare 28,435 17,619 25,553 27,381 16,163 9,769 8,658 -11% Total 39,819 28,742 36,978 36,603 28,977 28,509 25,970 Annual trend -28% 29% -1% -21% -2% -9%

In 2004 and 2005, the department of Meta remained the department with the largest level of coca cultivation, even though coca cultivation decreased of 8%, from 18,740 hectares in 2004 to 17,300 hectares in 2005. The department of Meta represented 20% of the national coca crops.

In 2005, a record of 14,500 hectares of coca cultivation were sprayed in 2005 over Meta department. This represented 55% of the total aerial spraying in the region, though coca cultivation in Meta represented 67% of the total coca crops for both departments and the highest level of cultivation using high agro-technical efficiency.

Between 2004 and 2005, in the department of Guaviare, coca cultivation decreased from 9,769 hectares to 8,658 hectares (-11%). At the same time, aerial spraying decreased from 30,900 hectares in 2004 to 11,900 hectares in 2005.

Among the thirteen national parks surveyed, the National Park of Sierra de la Macarena, located within Meta department, experienced the largest level of coca cultivation within a protected area in 2005, with 3,354 hectares. This represented an increase of 24% between 2004 and 2005. However, the increase is mostly due to a better interpretation of the coca fields in 2005 due to the absence of clouds in the images of that year.

Guaviare was the department where coca cultivation first appeared in Colombia at the end of the seventies. Since then coca cultivation remained important in the department. However, an encouraging decrease has been noted in the past few years and the 8,650 hectares observed in 2005, only represented 32% of the 27,381 hectares observed in 2002, mainly owing to important aerial spraying campaigns. In 2005, Guaviare accounted for 10% of the national total.

Coca field of high agro-technical efficiency in Meta department

21 Coca cultivation density in the Pacific region, Colombia 2005

78°W 76°W Sucre

Montería

A PANA M VENEZUELA

Bolívar Córdoba COLOMBIA 8°N PANAMA 8°N

ECUADOR BRAZIL

PERU

Cultivation density (ha/km²)

0.1 - 1.0 Antioquia 1.1 - 2.0

a o c

u t

a a

r C 2.1 - 4.0 t

A í o R í Medellín 4.1 - 8.0 R 6°N

>8 6°N International boundaries Quibdó Department boundaries Chocó Roads Pacific Region Caldas Manizales

Bogotá Ibagué

Río San Juan Cundinamarca Tolima Pacific 4°N Ocean 4°N

Valle Cali

Neiva Huila Neiva Meta

Cauca a n le a d Popayán g a M o í R

R 2°N ío 2°N P at Tumaco ía Florencia Nariño

Pasto Mocoa Caquetá ECUADOR

Putumayo

0200100 km gu Ca o Geographic coordinates WGS 84 78°W 76°W Rí 0° 0°

2.1.1.3 Pacific region

Table 7: Coca cultivation in the Pacific Region, 1999-2005 (hectares)

% Change Department 1999 2000 2001 2002 2003 2004 2005 2004- 2005 Nariño 3,959 9,343 7,494 15,131 17,628 14,154 13,875 -2% Cauca 6,291 4,576 3,139 2,120 1,443 1,266 2,705 114% Chocó 250 354 453 323 1,025 219% Valle del 76 184 111 37 45 28 -33% Cauca Total 10,250 14,245 11,171 17,362 19,561 15,788 17,633 Annual trend 39% -22% 55% 13% -19% 12%

Nariño is located in the south-western part of the country, at the border with Ecuador. The geographic features of the region include high altitudes, as well as coastline and contributed to the spread of cultivation of coca bush and opium poppy, as well as the maritime smuggling of illegal drugs and precursors through the department.

Coca cultivation in Nariño became significant in 2002, at a time when coca cultivation decreased in the neighbouring departments of Putumayo and Caqueta. Between 2001 and 2002, coca cultivation decreased by 40,000 hectares in Caqueta and Putumayo, while increasing by 7,600 hectares in Nariño. Aerial spraying has been intense in Nariño department since 2000, exceeding 30,000 hectares in 2003 and 2004, and reaching a record 57,630 hectares in 2005.

In 2005, coca cultivation was found in 24 municipalities out of 64. With a total of 13,875 hectares of coca cultivation, Nariño has the second highest amount of land under illicit cultivation and 16% of the total coca cultivation in the country. It is worth noting that Nariño accounted for 51% of all the fields of less than ¼ hectares found in the country, which is an indication of the coca cultivation practices in Nariño.

Like neighbouring Nariño department, Cauca has a long coastline, high mountain ranges and a mainly rural economy, but coca cultivation remained relatively low in Cauca department. However, following a period of continuous decrease between 1999 and 2004, coca cultivation increased between 2004 and 2005 by 1,420 hectares (+114%), despite aerial spraying which for the first time exceeded 3,000 hectares. Several alternative development projects have been implemented in Cauca, the first one starting in 1985. Coca seed beds in Choco department

Although its capital, Cali, was an important centre for narco-trafficking in the nineties, the department of Valle del Cauca always recorded less than 200 hectares under coca cultivation.

23 Coca cultivation density in the Central region, Colombia 2005

76°W Santa Marta 74°W 72°W

Barranquilla

A La Guajira AM PAN VENEZUELA

Atlántico Valledupar Cartagena COLOMBIA Cesar

ECUADOR BRAZIL Magdalena 10°N 10°N PERU

g d VENEZUELA a l e n a

Sincelejo Caribbean Sea

o Sucre b m u t a t

o í

Montería R Catatumbo

Bolívar NortedeSantander Córdoba 8°N Cucutá 8°N NortedeAntioquia Sur de Bolívar

Bucaramanga

Antioquia Santander

o u

t Arauca

a a

r C t

o A í

R o

í Medellín R 6°N 6°N

Quibdó

Chocó Boyacá Risaralda Caldas Yopal Casanare Manizales

Cultivation density Bogotá Cundinamarca (ha/km²)

0.1 - 1.0 Ibagué San Juan 1.1 - 2.0 Tolima 2.1 - 4.0 Villavicencio 4°N 4.1 - 8.0 a 4°N et M >8 ío Meta R International boundaries Department boundaries Valle 0200100 Roads km Central Region Geographic coordinates WGS 84 Huila Cauca 76°W 74°W Source: Government of Colombia - National monitoring system supported by UNODC The boundaries and names shown and the designations used in this map do not imply official endorsement or acceptance by the United Nations Colombia Coca Survey for 2005

2.1.1.4 Central region

Table 8: Coca cultivation in the Central Region, 1999-2005 (hectares)

% Change Department 1999 2000 2001 2002 2003 2004 2005 2004-2005 Antioquia 3,644 2,547 3,171 3,030 4,273 5,168 6,414 25% Bolivar 5,897 5,960 4,824 2,735 4,470 3,402 3,670 8% Cordoba 1,920 117 652 385 838 1,536 3,136 101% Santander - 2,826 415 463 632 1,124 981 -13% Norte Santander 15,039 6,280 9,145 8,041 4,471 3,055 844 -72% Boyacá - 322 245 118 594 359 342 -5% Caldas - - - - 54 358 189 -47% Cundinamarca - 66 22 57 57 71 56 -15% Total 26,500 18,118 18,474 14,829 15,389 15,073 15,632 Annual trend -32% 2% -20% 4% -2% 4%

Since 2002, coca cultivation remained stable at around 15,000 hectares in the Central region of Colombia. Between 2004 and 2005, coca cultivation increased by 4% to reach 15,632 hectares. At the end of the nineties, Norte de Santander department was one of the most important centres of coca cultivation in the country, accounting for 10% of the country total in 1999. Between 2002 and 2004, aerial spraying averaged 10,000 hectares per year over this area, but in 2005 dropped to less than 1,000 hectares. At the same time, important alternative development projects have been implemented. Consequently, between 1999 and 2005, the Government has been able to reduce drastically coca cultivation in this department. In 2005, coca cultivation accounted for only 850 hectares, or only 6% of the level of coca cultivation in 1999.

In the department of Bolivar, coca cultivation is concentrated in the south, in an area known as Sur de Bolivar. Coca cultivation in the department remained relatively stable, accounting between 4% and 8% of the country total between 1999 and 2005. This relative low level of coca cultivation in the area might be attributed to a combination of aerial spraying and implementation of alternative development projects.

Forest logging and establishment of new coca fields in mountain areas, Antioquia and Bolivar department

In Antioquia, coca cultivation averaged 3,000 hectares between 1999 and 2002. Coca cultivation has been increasing since 2002, from 3,030 hectares to 6,410 hectares in 2005. This increase over the past three years occurred despite the intensification of aerial spraying, from 3,300 hectares in 2002 to 11,000 hectares in 2004 and 16,800 hectares in 2005.

In the department of Caldas, the most important coffee growing area in Colombia, 54 hectares of coca cultivation were detected for the first time in 2003. Coca cultivation reached a peak in 2004 with 358 hectares, but decreased to 190 hectares in 2005.

25 Coca cultivation density in the Putumayo-Caqueta region, Colombia 2005

76°W 74°W 72°W Boyacá Caldas Yopal Casanare A PANAM VENEZUELA Manizales Chocó

Bogotá Cundinamarca COLOMBIA Ibagué

ECUADOR Villavicencio BRAZIL a 4°N

t 4°N e PERU M o í

Valle Cali Tolima Meta

Neiva Huila Río Gu e Cauca aviar a San José n le a d g a Popayán a d níri M o I o í í R R 2°N Guaviare 2°N Puerto Rico El Doncello Florencia

Florencia R El Paujil ío V SanJoséde a u Mocoa pés Miraflores Nariño la Fragua Morelia Colón Albania San Vicente San La Montañita Pasto Francisco Mocoa del Caguán Curillo Valparaiso Milán Santiago Villa Garzón Solita Caquetá Puerto Puerto Vaupés Orito Caicedo Guzmán Cartagena del Chaira Puerto Asís Putumayo Valle del Puerto Asís Puerto Guamuéz Leguizamo

San Miguel n á u Solano g a R ío C 0° 0°

Rí o Ca quetá

R í o P u tu m a yo

Amazonas

ECUADOR

Cultivation density 2°S (ha/km²) 2°S 0.1 - 1.0 1.1 - 2.0 2.1 - 4.0 4.1 - 8.0 >8 PERU International boundaries

Department boundaries s na azo Am Municipality boundaries Río 0200100 Roads km Putumayo Caquetá Region Geographic coordinates WGS 84 76°W 74°W 72°W

2.1.1.5 Putumayo-Caqueta region

Table 9: Coca cultivation in the Putumayo-Caqueta Region, 1999-2005 (hectares)

% Change Department 1999 2000 2001 2002 2003 2004 2005 2004-2005 Caquetá 23,718 26,603 14,516 8,412 7,230 6,500 4,988 -23% Putumayo 58,297 66,022 47,120 13,725 7,559 4,386 8,963 105% Total 82,015 92,625 61,636 22,137 14,789 10,886 13,951 Annual 13% -33% -64% -33% -26% 28% trend

In 2000, coca cultivation peaked in Putumayo department at 66,000 hectares, representing 40% of the national total. Following four years of consecutive decreases, coca cultivation in Putumayo was estimated at 4,400 hectares or 5% of the national total in 2004, but this trend was reversed and between 2004 and 2005 coca cultivation soared by 105% in this department. At the same time, aerial spraying decreased from 17,500 hectares in 2004 to 11,800 hectares in 2005, while there were few new alternative development activities in 2005.

Most of the new coca fields were established on the foot hills close to the border with Cauca department. Spraying is particularly difficult in these mountainous areas, which could be a reason for the migration of coca cultivation to this region.

In a belt of about 10 km wide along the Ecuadorian border that cover about 550,000 hectares, in the departments of Nariño and Putumayo, almost 4,000 hectares of coca cultivation were found in 2005. This represented an increase of 1,000 hectares (or 32%) compared to the same area in 2004.

In Caqueta department, coca cultivation peaked at 26,000 hectares in 2000 or 16% of the country total. Following intense aerial spraying that started in 1996 with 537 hectares and peaked in 2002 at 18,600 hectares, coca cultivation decreased. In 2005, coca cultivation was at its lowest level at 4,990 hectares, or 6% of the country total.

Coca fields in Putumayo department

27 Coca cultivation density in the Orinoco region, Colombia 2005

72°W 70°W 68°W Cultivation density (ha/km²)

MA PANA VENEZUELA 0.1 - 1.0 1.1 - 2.0 2.1 - 4.0 4.1 - 8.0 COLOMBIA >8 International boundaries ECUADOR Department boundaries BRAZIL PERU Municipality boundaries 8°N

8°N Roads Cucutá Orinoco Region

VENEZUELA

Arauca

Saravena Arauca Fortul Arauca Arauquita Ta m e

Puerto Cravo Rondón Norte Río Arauca Puerto Carreño 6°N

6°N Puerto Carreno o c

í R

o Tom La Primavera Río

Casanare

Santa Rosalía Vichada

a ichad Río V

Cumaribo 4°N 4°N a et M Puerto Inírida ío R Meta

Guainía Río Guaviare

rida Iní Río Guaviare 2°N 2°N

0200100 Vaupés km 72°W Geographic coordinates WGS 84 70°W BRAZIL 68°W

2.1.1.6 Orinoco region

Table 10: Coca cultivation in the Orinoco Region, 1999-2005 (hectares)

% Change Department 1999 2000 2001 2002 2003 2004 2005 2004-2005 Vichada - 4,935 9,166 4,910 3,818 4,692 7,826 67% Arauca - 978 2,749 2,214 539 1,552 1,883 21% Total - 5,913 11,915 7,124 4,357 6,244 9,709 - Annual - - 102% -40% -39% 43% 56% - trend

In Vichada department, near the Venezuelan border, coca cultivation peaked at 9,200 hectares in 2001. It remained between 4,000 and 5,000 hectares from 2002 to 2004, but increased by 67% between 2004 and 2005 to reach 7,830 hectares. This increase was the second largest in the 2004-2005 period.

In Vichada, the most important concentration of coca cultivation can be found along the Uva river. However, in the past three years, coca cultivation tended to expand to the Eastern part of the department, towards the Venezuelan border. The dispersion of coca cultivation in remote parts of the department increases the time flight and cost of aerial spraying. As a result, aerial spraying has always been relatively low in this department (below 3,000 hectares), and for 2005, no aerial spraying was reported.

Coca cultivation in Arauca was detected for the first time in 2000 with about 1,000 hectares. It went over 2,000 hectares in 2001 and 2002. In 2003, aerial spraying amounted to 12,000 hectares and coca cultivation dropped to 500 hectares in December of that year. However, it increased again in 2004 and 2005 to reach 1,883 hectares.

Coca fields in Arauca department interspersed with licit crops

29 Coca cultivation density in the Amazonia region, Colombia 2005

74°W 72°W Arauca70°W 68°W Río Arauca Santander Puerto

Carreño 6°N 6°N Casanare

MA PANA VENEZUELA Boyacá

i r

Yopal O

o COLOMBIA í Vichada R Cundinamarca Bogotá ECUADOR da icha Río V VENEZUELA BRAZIL PERU

a et 4°N 4°N M Puerto Inírida ío R

Meta Inirida Cacahual a Barranco Mina rid Iní Río

Río Guaviare

Morichal Puerto San José Colombia Nuevo Guainía San Felipe

Pana Pana 2°N 2°N Guaviare

Papunahua

Miraflores Mitú Rí La Carurú o V Mitú au Guadalupe pés

Yavarate Vaupés Caquetá n uá ag C Pacoa ío R R í La o 0° Victoria A 0° pa po ris

Mirití Paraná R í o P u t um Puerto Ta rai ra ayo Puerto Santander Alegría La Rí La o Ca Chorrera quetá Pedrera BRAZIL

R í o I g ara Amazonas P ara na Puerto Arica 2°S 2°S

El Encanto PERU

Ta rap ac a Cultivation density (ha/km²) Puerto Leticia 0.1 - 1.0 Nariño R 1.1 - 2.0 í azo o Am nas 2.1 - 4.0 4°S 4.1 - 8.0 4°S >8 Leticia International boundaries Department boundaries

Municipality boundaries 0200100 Roads km Geographic coordinates WGS 84 Amazon Region 74°W 72°W 70°W 68°W

2.1.1.7 Amazonia region

Table 11: Coca cultivation in the Amazonia Region, 1999-2005 (hectares)

% Change Department 1999 2000 2001 2002 2003 2004 2005 2004-2005 Vaupés 1,014 1,493 1,9181,485 1,157 1,084 671 -38% Amazonas - - 532 784 625 783 897 15% Guainía - 853 1,318749 726 721 752 5% Total 1,014 2,346 3,7683,018 2,508 2,588 2,320 Annual trend - - 61% -20% -17% 3% -10%

Like Putumayo-Caqueta region, the departments of Vaupés, Amazonas and Guainía belong to the Amazon basin. Although sharing important similarity with Putumayo and Caqueta, these three departments, refer to as Amazon region, have never been important centres of coca cultivation. This is due to the remoteness of the area, lack of airport and road infrastructure linking this region to the rest of the country. Consequently, aerial spraying of coca cultivation was almost not existent, except in Vaupés.

Coca cultivation remained relatively stable in the region, at around 3,000 hectares, since coca cultivation was first observed in 2000.

Coca field surrounded by forest areas in the Amazon region

31 Coca cultivation density in the Sierra Nevada region, Colombia 2005

74°W 73°W 72°W 13°N 13°N

A PANAM VENEZUELA n Sea COLOMBIA

ECUADOR BRAZIL La Guajira PERU Caribbean Sea 12°N 12°N

Riohacha

Santa Marta 11°N 11°N

Sierra Nevada de Santa Marta

Magdalena Valledupar 10°N 10°N

R Cesar

í o Gulf of

d a Maracaibo l e n a

o mb VENEZUELA atu t 9°N 9°N a Sucre C

o í R

Norte de Santander Cultivation density Bolívar (ha/km²) 0.1 - 1.0 1.1 - 2.0 8°N 8°N 2.1 - 4.0 Antioquia Cucutá 4.1 - 8.0 >8 International boundaries

010050 Department boundaries km Geographic coordinates WGS 84 Roads

74°W Santander73°W 72°WSierra Nevada Region

2.1.1.8 Sierra Nevada region

Table 12: Coca cultivation in the Sierra Nevada region, Colombia, 1999 – 2005

% Change Department 1999 2000 2001 2002 2003 2004 2005 2004-2005 Magdalena 521 200 480 644 484 706 213 -70% Guajira - 321 385 354 275 556 329 -41% Total 521 521 865 998 759 1,262 542 Annual trend - 0% 66% 15% -24% 66% -57%

The Sierra Nevada region, with the departments of Magdalena and Guajira, has never been an important centre of coca cultivation in Colombia. Coca cultivation remained between 500 and 1,300 hectares over the last seven years. Between 2004 and 2005, coca cultivation decreased by an impressive 57%, to reach one of its lowest level with only 540 hectares. Coca cultivation remained located mainly in the fringe of lowlands between the high mountains of the Sierra Nevada and the sea shore.

However, the region is an important area for narco-trafficking activities, in particular for the shipping of drugs to the Caribbean Islands and the United States.

For a few years already, the Sierra Nevada region benefited from important aid for alternative development, mainly due to the existence Sierra Nevada National Park. Government’s data indicated an important increase in alternative development budget for 2005. At the same time, aerial spraying activities dropped from around 2,000 hectares in 2004 to 1,000 hectares in 2005.

The region is also an important tourist centre and hosts the Sierra Nevada National Park. The National Park is one of the most important ecological reserves in Latin America, known for its rich bio-diversity and presence of several ancient indigenous cultures. In 2005, coca cultivation amounted to 95 hectares in the Sierra Nevada National Park, a decrease of 55% compared to 2004.

Coca fields in Sierra Nevada region Source: Organización Gonawidua Tayrona

33 Colombia Coca Survey for 2005

Coca fields in the Sierra Nevada region

34 Colombia Coca Survey for 2005

2.1.1.9 Possible areas of new cultivation

The survey covered and interpreted 100% of the national territory, including areas previously not known as being coca growing regions. In doing so it serves as an early warning system to detect and prevent the spread of coca into new areas.

Potential small coca fields have been detected in remote areas outside the established agricultural areas of the departments of the Orinoco and Amazon river basins. Field verification has not been carried out in theses areas because it was considered too time consuming and too costly to verify small and isolated patches of coca cultivation. Because of the absence of field verification, the estimate for coca cultivation in these areas are presented as indicative and not included in the final estimate. The 2005 survey 15 LandSat images analysed for vegetation having similar characteristics as coca fields. A total of 276 hectares were assessed as possible coca cultivation in new area.

Table 13: Possible coca cultivation in new areas in 2005

Department hectares Amazonas 116 Vichada 79 Vaupés 77 Meta 4 Total 276

New coca fields in Choco

Colombia Coca Survey for 2005

2.1.1.10 Coca plant varieties

The coca leaf yield survey carried out between May 2005 and February 2006 was the opportunity to collect samples of coca plants for the determination of their taxonomic varieties. The botanical study of the samples was performed by the Forest Herbarium of the University Francisco José de Caldas in Bogotá.

A total of 439 samples were studied, from which 3 varieties of 2 species of coca plants were identified. Although only three varieties were encountered, it should be noted that farmers refer to a wide range of names, and sometimes the same vernacular names are used for two, sometimes three different botanical varieties. The reasons for this wide range of vernacular names are the difficulties to identify the botanical varieties which differ only by minute details, but also the variability the coca plants themselves within a same variety. A short description of the three varieties found in the sample is presented below. Collection of botanical samples

Species: Erythroxylum coca Lam.3

Variety: Erythroxylum coca Lam. var. coca

This variety was the most popular, constituting 59% of the sample. The most common names attributed by the farmers to this variety have been: “Peruana”, “Tingo María” and “Boliviana”. It is a bush of up to 3 meters, with elliptic leaves, sharp end, and a pedicel of 2 to 7 mm. The fruits are ellipsoids of 6 to 12 mm long.

This variety is widely distributed throughout the country and can be found between 0 and 2000 meters above sea level.

Erythroxylum coca Lam. var. coca

3 Lam. From Chevalier de Lamarck, title of Jean Baptiste Pierre Antoine de Monet 1744-1829, French Naturalist 37 Colombia Coca Survey for 2005

Variety: Erythroxylum coca Lam. Var. ipadu Plowman

This variety represented 21% of the sample. The most common names attributed by the farmers to this variety have been “Dulce” and “Amarga”. Both fall in the rank of morphologic variation described for the variety. It differs from the variety coca by the rounded end of leaf.

This variety is confined to the Amazonia region, between 100 and 500 meters above sea level.

Erythroxylum coca Lam. Var. ipadu Plowman

Species: Erythroxylum coca novogranatense (Morris) Hierron.

Variety: Erythroxylum coca novogranatense (Morris) Hierron. Var. novogranatense

This variety represented 20 % of the sample. The most common names attributed by farmers to this variety were “Pajarito” and “Caucana”. This bush of up to six meters is taller than the other species. The leaves are more oblong and elongated than for the species Erythroxylum coca. The pedicels are about 4 to 12 mm long, and the fruits of about 8 to 13 mm long.

This variety is frequently found in mountainous areas and is the most common in the Sierra Nevada region and occasionally in Arauca.

Erythroxylum coca novogranatense (Morris) Hierron. Var. novogranatense

38 Colombia Coca Survey for 2005

Samples of the different varieties of coca leaves collected for the taxonomical identification

Erythroxylum coca Lam. var. coca Erythroxylum coca Lam. Var. ipadu

Erythroxylum coca novogranatense Var. novogranatense

39 Index of livelihood conditions* by department in 2003 and coca cultivation in Colombia, 2005

75°W 70°W

Colombia Caribbean Sea

South America La Guajira Barranquilla

Atlántico Magdalena Cartagena Cesar 10°N

R 10°N

M a g da len a VENEZUELA PA N Sucre A Bolívar M A Norte de Córdoba Santander

Cucutá

Chocó Santander Arauca

c Antioquia

o u

r a

t C Puerto A Arauca

o Medellín

o í R rauca í ío A

R Carreño R o oc n i Vichada r O

Boyacá o

í R a t e Caldas M ío Cundinamarca Casanare R 5°N 5°N Risaralda Bogotá Pacific a ichad Ocean Quindío Río V Tol ima

Valle viare ua Cali ío G Meta R

Huila a n San a le írid a Neiva In d José g ío Popayán a Guaviare R M Guainía o í Cauca R Tumaco Florencia Nariño Mitú Pasto

Puerto Asís Caquetá Vaupés Putumayo 0° 0° Río Caqu etá BRAZIL

R ío P u tum ECUADOR a yo

Amazonas

Index of livelihood conditions* by department as of 2003 PERU 55 - 70 % 70 - 80 % 80 - 100 % Rí o Ama zo No data nas Leticia 0300150 Coca cultivation 2005 km Geographic coordinates WGS 84 International boundaries 5°S Department boundaries 75°W 70°W 5°S

In Colombia the ICV index is 77 points out of 100. The Regions at the bottom of the index have the worst conditions in terms of life quality. The Pacific Region doesn't meet the required index level in education, public services and housing. Sources: for coca cultivation Government of Colombia, National monitoring system supported by UNODC; for poverty indicators UNDP and DNP The boundaries and names shown and the designations used in this map do not imply official endorsement or acceptance by the United Nations Colombia Coca Survey for 2005

2.1.1.11 Coca cultivation and poverty

The illicit crops problem in Colombia is the result of a number of factors which have created a fertile ground for coca cultivation to proliferate. In cases where coca is planted as a result of choice and not coercion, poverty is one of the main causes together with a lack of respect for laws. In most cases, the emergence of illicit crops does not significantly increase peasants’ income, but can improve their basic subsistence when other income generating activities are not present. Coca farmers are far from being the main beneficiary from the huge profits generated by the illicit business.

According to the MRPD4 of the National Department of Planning, poverty rate for Colombia in 2005 were estimated at 49.2% for poverty and 14.7% for extreme poverty. Rural poverty went up from 67.5% in 2004 to 68.2% in 2005, and in terms of the population size, the number of poor people in rural areas went up from 7.89 to 8.02 million persons. As for extreme poverty, the indicators showed a stable situation between 2004 and 2005 (27.6% in 2004 and 27.5% en 2005), and in terms of population size, about 3.23 millions persons were estimated living in extreme poverty.

Table 14: Estimated poverty and extreme poverty 2001 – 2005

Year Country Urban area Rural area 2002 57,0 50,2 75,1 2003 50,7 46,3 62,9 Poverty 2004 52,7 47,3 67,5 2005 49,2 42,3 68,2 2002 20,7 15,5 34,9 Extreme 2003 15,8 12,6 24,6 poverty 2004 17,4 13,7 27,6 2005 14,7 10,2 27,5 Source: MRPD of PND

Some areas where coca cultivation is present show a lower level socio-economic development. Most of the population living in poor conditions is concentrated in the rural area.

In Colombia, the GDP for the agricultural showed a decrease from 14.42% in 2000 to 13.53% in 2004 of the total GDP at constant price of 1994. The GDP of the agricultural sector showed one of the lowest increase rate compared to other sectors. This indicated a loss of the terms of exchange of the agricultural sector. The situation worsened in the 1990s following the disappearance of the protection instruments like aid or subsidies.

However if Colombian poverty indicators are compared with those of other Andean Countries, the argument of a strong linkage between poverty of livelihoods and cocaine production seems weak. In fact, if poverty were to boost coca cultivation, largest coca crops should move to poorest Andean countries, which is not the case.

4 Misión para la Reducción de la Pobreza y la Desigualdad 41

Colombia Coca Survey for 2005

2.1.1.12 Coca cultivation and displacement

Violence, armed conflict, drug trafficking and the search for better living conditions have generated enormous displacement of persons over the past two decades. Significant differences in the number of internally displaced persons (IDPs) are recorded by different sources. The problem is known to be important and has produced a real humanitarian crisis for the country.

In Colombia, the Social Solidarity Net, known as RSS, maintains a registry at the municipality level of people who had to leave a municipality because of violence during the year. Data is indicative, as it is very difficult to track people move and motivation for move. RSS revised its previous estimates, but the trend remains the same. However, no statistically significant correlation has so far been established at the department level between number of IDPs and coca cultivation.

Figure 4. Number of IDP and coca cultivation, 2000 – 2005

450.000 180.000

400.000 160.000

350.000 140.000

300.000 120.000

250.000 100.000

424.075

200.000 80.000 hectare 374.856

people displaced 331.234 150.000 60.000

220.111 100.000 40.000 161.921 131.716 50.000 20.000

- - 2000 2001 2002 2003 2004 2005

People displaced Coca cultivation Source: RSS – 2001 to 2004 data revised in 2005

Colombia Coca Survey for 2005

2.1.1.13 Coca cultivation and the forest warden families programme

UNODC is presently carrying out the monitoring the Government’s “Forest Warden Families Programme”. The main objective of the ‘Forest Warden Families Programme” is to motivate farmers to keep their land free of illicit crops. The programme also aims at the recovery of the forest in areas that are ecologically and socially vulnerable. The government and the families sign a contract with payments of a monthly salary (US$ 265) per family for a three years period. The map shows the geographic location of the 50 ongoing projects.

The Forest Warden Families Programme has three main components: environmental, by the preservation of the environment with technical support of expert entities in the training of families for the establishment of productive and sustainable projects. The second component deals with the increase of the social capital, by a permanent training of families in community savings, leadership, project managements among others. The economic component consists in a temporary financial aid to the beneficiary families.

The selection criteria for the areas of each project is based on the identification of a number of districts within one or two municipalities that constitute a geographic unit along with the commitment of the inhabitants to keep all farms of his own district free of illicit crops. A break of this commitment from just one family in a given district implies the withdrawal of all families of that district from the project. However, in practice, this criterion has been replaced by the consideration of lists of families willing to enter in the agreement.

The role of SIMCI II to provide support to UNODC in this endeavour has consisted mainly in the delivery of thematic cartography and technical support in multitemporal analysis of vegetation land covers as well as the verification of presence or absence of coca crops in the districts using remote sensing tools.

Forest warden families programme

Colombia Coca Survey for 2005

2.1.1.14 Coca cultivation in National Parks

The presence of illicit crops in both Natural Parks and Indigenous Territories has been monitored by SIMCI since the 2001 survey, and the data have been delivered to the competent authorities to enable them to identify actions and projects to be applied for the preservation of its social and environmental characteristics with minimum of harm.

The limits of National Parks and Indian territories have been provided by the official entities in charge of their management. In 2005, the limits of National Parks were edited by the monitoring project in cooperation with technicians from the National Parks Administrative Unit. The editing improved the match between SIMCI cartographic material and the official boundaries of the Parks. National Parks boundaries are not always precise and therefore coca cultivation estimated in each of them depends on the accuracy of their delimitation. To enable annual comparison the same boundaries were used for each year.

Coca cultivation in 2005 was found in 12 of the 51 National Parks in Colombia, them. With 6,100 hectares in 2005, coca cultivation represented 0.05% of the total area covered by National Parks, and coca cultivation in National Parks represented 7% of the total level of coca cultivation in 2005.

Overall, coca cultivation in National Parks increased by 14% between 2004 and 2005. This increase was mainly due to an increase in the National Parks of Sierra La Macarena (+647 hectares, or +24%), La Paya (+498 hectares or 217%) and Paramillo (+225 hectares or +49%). In most other National Parks, coca cultivation decreased, and almost completely disappeared from the National Parks of Sanquianga, Farallones and Tayrona.

The detailed results by indigenous territories are presented in annexes.

Table 15: Coca cultivation in National Parks in Colombia, 2003 – 2005 (hectares)

2003 2004 2005 % Change National Parks (hectares) (hectares) (hectares) 2004-2005 Sierra La Macarena 1,152 2,707 3,354 24% Nukak 1,469 1,043 930 -11% La Paya 310 230 728 217% Paramillo 110 461 686 49% Tinigua 340 387 155 -60% Sierra Nevada 212 241 95 -61% Puinawai 33 139 60 -57% Catatumbo-Bari 129 107 55 -49% Alto Fragua 8 14 25 79% Munchique 1 8 13 63% Los Picachos 13 15 7 -53% Yariguíes - - 2 - Sanquianga 7 - - - Farallones 2 - - - Tayrona 4 1 - - Total 3,790 5,353 6,110 Rounded total 3,800 5,400 6,100 14%

SIMCI and the National Parks Administrative Unit published at the end of 2005 a Multitemporal Analysis about the impact of coca crops in National Parks in the period 2001-2005. On this occasion, the borders of the Parks were edited which produced slight adjustments in the coca cultivation estimates within these parks.

47 Colombia Coca Survey for 2005

Colombian National Parks affected by coca cultivation

Indigenous community in the National Park Sierra Nevada de Santa Marta

National Park Puinawai affected by licit crops 48

Colombia Coca Survey for 2005

2.1.2 REPORTED OPIUM POPPY CULTIVATION

Opium poppy cultivation was introduced in Colombia in the 1980’s, in a few marginal agricultural zones, when coffee prices fell down. The farmers cultivated opium poppy at an altitude ranging between 1,700 to 3,000 meters, in small fields, interspersed with licit crops.

Opium poppy is now mainly being cultivated on mountain sides in south-western Colombia, especially in the departments of Huila, Tolima, Cauca and Nariño, and in minor quantities in Cesar and Guajira.

UNODC – so-far – has not monitored the extent of opium poppy cultivation in Colombia. According to Colombian Government figures, the total area under opium poppy cultivation as of December 2005, amounted to 2,000 hectares with a reduction of 50% compared to last year estimate of 4,000 hectares. Opium poppy cultivation in Colombia represented only 1% of the world opium poppy cultivation in 2005.

Table 16: Opium poppy cultivation in Colombia, 2002 – 2005 (in hectares)

% Change % 2005 Department 2002 2003 2004 2005 2004-2005 total Cauca 1,155 600 450 538 20% 28% Nariño 1,230 540 460 475 3% 24% Huila 624 636 1,135 320 -72% 16% Tolima 682 1,359 1,090 265 -76% 14% Cesar 454 651 675 152 -77% 8% Caqueta - - 105 132 26% 7% Guajira - 240 35 68 94% 3% Caldas 8 - - - 0% Total 4,153 4,026 3,950 1,950 -51% 100% Rounded total 4,200 4,000 4,000 2,000 -50% Source: DIRAN

Figure 5. Opium poppy cultivation in Colombia, 2002 – 2005 (in hectares)

1,600

1,400

1,200

1,000

800 hectares 600

400

200

- Huila Tolima Cesar Nariño Cauca Caquetá Guajira Caldas

2002 2003 2004 2005 Source: DIRAN

50 Colombia Coca Survey for 2005

Table 17: Global opium poppy cultivation, 1995 – 2005 (in hectares)

1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Afghanistan 53,800 56,800 58,400 63,700 90,600 82,200 7,600 74,100 80,000 131,000 104,000 Myanmar 154,000 163,000 155,200 130,300 89,500 108,700 105,000 81,400 62,200 44,200 32,800 Colombia 5,200 5,000 6,600 7,400 6,500 6,500 4,300 4,100 4,100 4,000 1,950 Others 37,000 32,800 31,800 36,600 29,600 24,600 25,200 20,600 22,300 16,800 12,750 Total 250,000 257,600 252,000 238,000 216,200 222,000 142,100 180,200 168,600 196,000 151,500 Source: UNDOC

Figure 6. Global opium poppy cultivation, 1995 – 2005 (in hectares)

Colombia 1% Others Myanmar 8% 22%

Afghanistan 69%

Flowers and capsules in an opium poppy field

51 Coca yield by region in Colombia, 2005

75°W 70°W

Colombia Caribbean Sea

South America 1610 5400 ÔÔÔ Ô E E E E 3.4 harvest/year Sierra Nevada 10°N

R 10°N

M a g d al ena P VENEZUELA AN A M 1010 4600 A Ô ÔE ÔE ÔE ÔE E 4.5 harvest/year 1960 6600 Catatumbo Ô Ô Ô Ô E E E E

3.3 harvest/year a

c Sur de Bolivar o u

r a

t C A

o í R rauca í ío A

R R o oc in r O

í R a t e M 1300 7100 ío R 5°N 5°N Pacifico Ô ÔÔÔÔ Ô Pacific E E E E E E 5.4a harvest/yearda Vich Ocean Río Orinoco

re avia Gu Río

1490 9900 a

n le rida a ní 960 2600 d I g ío a Ô ÔÔ ÔÔÔ Ô R M E E E E E E E o í ÔE ÔE ÔE R 6.6 harvest/year 2.5 harvest/year Meta - Guaviare

1440 5600 ÔE ÔE ÔE ÔE 3.9 harvest/year Putumayo - Caqueta 0° 0° Río Caqu etá

R ío P u tum ECUADOR a yo

Annual yield per hectare BRAZIL

PERU ÔE

kg/ha/harvest kg/ha/year harvest/year Rí o Am az on as

0300150 Region Regions for coca leaf yield survey km Geographic coordinates WGS 84 International boundaries 5°S Department boundaries 75°W 70°W 5°S

2.2 NEW FINDINGS ON YIELD AND PRODUCTION

Further to a pilot yield study in 2004, DNE jointly with UNODC contracted an agricultural research company (Agricultural Assessments International Corporation - AAIC) to implement a coca leaf yield survey in Colombia between May 2005 and February 2006. Samples of fresh coca leaf were harvested from 746 coca plots selected among 463 coca fields, and 1,389 coca farmers were interviewed. The objective of the survey was to collect data on the fresh coca leaf yield, the general characteristics of coca cultivation practices, as well as information and data on the processing of fresh coca leaf into coca paste. The survey relied on actual harvest samples, face to face interviews and group discussions with farmers.

The averages and proportions used in the calculations of this chapter derived from the field survey, and corresponded to the average and proportions extrapolated to the sampling frame. The basis for the establishment of the sampling frame were about 75,000 hectares of coca fields, interpreted from the coca cultivation survey of 2003 or 2004, depending on the time of the survey by region. From this basis, a total population of about 58,000 farmers involved at the time of the survey in coca cultivation was extrapolated. The total for 2005 has been calculated by combining these averages or proportion and the coca cultivation figures of 85,750 hectares of coca cultivation in 2005. As the coca leaf yield survey did not cover the Amazon region, results obtained from the neighbouring region of Putumayo-Caqueta were used as best estimate for the Amazon region. The Central region defined for the coca cultivation census corresponded to the regions of Sur de Bolivar and Catatumbo in the coca leaf yield survey.

2.2.1 COCA LEAF YIELD AND COCA LEAF PRODUCTION

From the weighing of 746 samples of harvest of fresh coca leaf, the fresh coca leaf yield per harvest averaged 1,360 kg/hectares. The highest regional yield per harvest was found in the region of Sur de Bolivar with an average of 1,960 kg/hectares (the 95% confidence interval ranging from 1,740 kg/hectares to 2,180 kg/hectares), and the lowest yield was found in the Pacific region with an average of 964 kg/hectares (with 95% confidence rate ranging from 900 to 1,020 kg/hectares). The regional averages are presented below.

Table 18: Regional average coca leaf yield per harvest by region (from weighing of samples)

Lowest limit of Highest limit of Avg Yield Sample size confidence confidence Coefficient per harvest Region interval interval of variation Plots (CV in %) Fields (kg/hectares) (kg/hectares) (kg/hectares) weighted Sur de Bolivar 55 55 1,960 1,740 2,180 5.7% Sierra Nevada 45 90 1,607 1,530 1,690 2.6% Meta-Guaviare 103 206 1,489 1,430 1,550 2.1% Putumayo-Caqueta 80 80 1,444 1,330 1,550 3.8% Orinoco 50 100 1,302 1,230 1,370 2.7% Catatumbo 45 45 1,012 910 1,110 5.0% Pacific 85 170 964 900 1,020 2.9% All regions 463 746 1,360 1,340 1,380 1.4%

53 Colombia Coca Survey for 2005

Figure 7. Regional averages of coca leaf yield per harvest, framed by their confidence interval (kg/hectares)

2,300 2,100 1,960 1,900 1,700 1,607 1,500 1,489 1,444 1,302 kg/ha 1,300 1,100 1,012 964 900 700

500 Sur de Sierra Meta- Putumayo- Orinoco Catatumbo Pacific Bolivar Nevada Guaviare Caqueta

The average coca leaf yield obtained from weighing samples of coca leaf was compared to the farmer’s estimates for the corresponding fields and harvest. In general, average yields obtained from weighing samples were higher than average yields as reported by farmers. Farmers’ tendency to underreport their yields might be a cause for such difference. However considering all data obtained at country level, the results from the two survey-types did not appear to be statistically different.

Table 19: Comparison between average yields obtained from weighing of samples and average yields as reported by farmers. Average fresh coca leaf yield Average fresh coca leaf yield from weighing of samples from interviews Region # fields Average # fields Average (kg/hectares) (kg/hectares) Sur de Bolivar 55 1,960 224 1,606 Sierra Nevada 45 1,607 148 1,462 Putumayo-Caqueta 80 1,444 295 1,273 Catatumbo 45 1,012 141 1,100 Pacific 85 964 342 815 Orinoco 50 1,302 248 1,365 Meta-Guaviare 103 1,489 348 1,289 All regions 463 1,360 1746 1,244

Figure 8. Comparison between average yields obtained from weighing of samples and average yields as reported by farmers.

2.500

2.000

1.500 kg/ha 1.000 810 1.610 1290 1360 1.610 1.460 1.490 1.440 1.300 1.960 1.270 960 500 1.010 1.100

0 Sur de Sierra Putumayo- Catatumbo Pacific Orinoco Meta- Bolivar Nevada Caqueta Guaviare

from weighing of samples from farmers' interviews 54 Colombia Coca Survey for 2005

2.2.2 ANNUAL YIELD

A coca field is harvested several times during the year. In order to estimate the annual yield, it is therefore necessary to know the average number of times the coca fields are harvested. According with farmers reports in the 463 fields from which coca leaf samples were weighted, the average number of harvest per year was 4.5, equivalent to one harvest every 81 days. But important regional differences were found between the highest in Meta-Guaviare reaching 6.6 harvests per year (or every 55 days), and the lowest in the Pacific region with 2.5 harvests per year (or every 146 days).

Table 20: Regional average number of annual harvest (from interviews)

Number of Average number Coefficient of variation Region Interviews5 of harvests in 2004 (CV in %) Meta-Guaviare 103 6.6 2.1% Orinoco 50 5.4 4.5% Catatumbo 45 4.5 4.1% Putumayo-Caqueta 80 3.9 3.4% Sur de Bolivar 55 3.3 4.9% Sierra Nevada 45 3.4 3.8% Pacific 85 2.5 4.1% Country level 463 4.5 2.0%

Figure 9. Regional average annual number of harvest, framed within their confidence intervals

7 6.6

6 5.4

5 4.5 3.9 4 3.3 3.4 # harvest per year

3 2.5

2 Meta-Guaviare Orinoco Catatumbo Putumayo- Sur de Bolivar Sierra Nevada Pacific Caqueta

The annual regional average yield of fresh coca leaf was calculated by assuming that all harvests during the year were equivalent. The average yield per harvest was multiplied by the average number of harvests. The highest and lowest annual yields estimates were calculated as the highest/lowest range of the 95% confidence interval of the average regional yield, multiplied by the highest/lowest range of the 95% confidence interval of the number of harvests per year.

The analysis of the vegetation cover revealed that 21% of the coca fields of the 2005 census were forest in 2004, and therefore less than one year old. From the coca leaf yield survey, it was found that coca field of less than one year old had a yield per harvest of 1,500 kg/ha, while older fields had on average a lower yield per harvest of 1,300 kg/ha. However, the number of harvest per year was lower for new fields than for older fields, respectively averaging 3.6 harvests and 4.5 harvests. In terms of annual coca leaf yields, the weighted average on new fields was 5,700 kg/ha/yr, whereas on old fields it was 6,300 kg/ha/yr.

5 Farmers’ interviews corresponding to the coca fields from which coca leaf samples were weighted 55 Colombia Coca Survey for 2005

Table 21: Coca leaf yields in old and new fields

From satellite From coca leaf yield survey survey Average Average Number of Fields Number yield per annual Planted area harvests / of parcels harvest harvest (ha) yr (kg/ha) (kg/ha) Old fields 679 4.5 1,300 6,300 67,404 New fields 67 3.6 1,500 5,700 18,346 Total 746 4.4 1,400 6,300 85,750

It should be emphasized that the coca leaf yield survey was not designed to estimate annual yield from old and new fields, but rather a unique average per region. In the calculation of the total coca leaf production, it was thus the regional averages for all fields that were used. Would the distinction between old field and new fields have been made, the total coca leaf production would only have been lower by 5%.

The annual regional averages were calculated from the regional average yield per harvest and the regional number of harvest per year for the individual observations and taking into account the strata each observation belong too. The annual regional averages were thus the following:

Table 22: Calculations for the average regional annual yield of fresh coca leaf (kg/hectares)

Avg annual Lowest annual Highest Region yield yield annual yield kg/hectares/yr kg/hectares/yr kg/hectares/yr Meta-Guaviare 9,900 9,200 10,500 Orinoco 7,100 6,400 7,900 Sur de Bolivar 6,600 5,600 7,800 Putumayo- 5,600 4,900 6,400 Caqueta Sierra Nevada 5,400 5,000 5,900 Catatumbo 4,600 4,000 5,300 Pacific 2,600 2,300 2,900 Country level 6,300 6,000 6,500

The mentioned calculations revealed that the highest annual fresh coca leaf yield was reached in Meta-Guaviare and averaged 9,900 kg/hectares/yr (ranging between 9,200 kg/hectares and 10,500 kg/hectares/yr). The lowest annual yield was found in the Pacific region and averaged 2,600 kg/hectares/yr (ranging between 2,300 kg/hectares/yr and 2,900 kg/hectares/yr).

Figure 10. Average annual yields of fresh coca leaf framed by their lowest and highest estimates (kg/hectares/yr)

13,000

11,000 9,900

9,000 7,100 6,600

7,000 5,500 5,400 kg/ha/yr 4,600 5,000

2,600 3,000

1,000 Meta- Orinoco Sur de Putumayo- Sierra Catatumbo Pacific Guaviare Bolivar Caqueta Nevada

56 Colombia Coca Survey for 2005

The very high annual yield obtained in Meta-Guaviare was primarily due to the high number of harvests (6.6 per year) rather than to the average yield per harvest (1,489 kg/hectares) that was not the highest of the country. It was not possible to find a single factor in the survey data responsible for such a high number of harvests per year. However, it was interesting to note that farmers from Meta-Guaviare reported that only 25% of their coca fields had been affected by aerial spraying. Aerial spraying rate in the Meta-Guaviare was one of the lowest rate among the seven regions, and much lower than the national average of 48% of coca fields reported to have been affected by aerial spraying.

Coca field in Meta department

In Colombia, coca leaves are traded as fresh, whereas in Peru and Bolivia they are traded after having been sun-dried. Therefore, for comparison the Colombian coca leaf yields have to be converted from fresh weight to dry weight. The conversion was done assuming average moisture content of 57%, as found during a survey carried out by UNODC in Peru in 2004.

Table 23: Average regional annual yield coca leaf in equivalent of sun-dried leaf (kg/hectares)

Sun-dried avg annual Region yield (kg/hectares) Meta-Guaviare 4,200 Orinoco 3,100 Sur de Bolivar 2,800 Putumayo-Caqueta 2,400 Sierra Nevada 2,300 Catatumbo 2,000 Pacific 1,100 All regions 2,700

Once converted in equivalent of sun-dried leaf, the coca leaf yields of Peru, Bolivia and Colombian can be more easily compared, although the methodology and the data collection process still differed. The Colombian regional average yields are shown in the graph below. 57 Colombia Coca Survey for 2005

Figure 11. Annual coca leaf yield, in sun-dried equivalent, from various regions of Colombia, Peru and Bolivia

Colombia, M eta-Guaviare 4.200

Peru, A purimac-Ene 3.627 Colombia, Orinoco 3.100

Peru, Alt o Huallaga 2.988 Colombia, Sur de Bolivar 2.800 Bolivia, Chapare 2.764 Colombia, Putumayo-Caqueta 2.400 Colombia, Sierra Nevada 2.300

Colombia, Catatumbo 2.000 B olivia, Y ungas, non-t radit ional areas 1.798

Peru, La Convención-Lares 1.457 Peru, Palcazu-Pichis-Pachitea 1.433 Peru, Inambari-Tambopata 1.290 Colombia, Pacific 1.000 B olivia, Y ungas, t radit ional areas 936 Peru, M arañon 860

- 500 1.000 1.500 2.000 2.500 3.000 3.500 4.000 4.500

Compared to the average annual yield of 6,300 kg/hectares/yr obtained from the weighing of 746 samples, the average annual yield obtained from interviews of 1,389 farmers reporting on 1,746 fields was 9% lower and averaged 5,700 kg/hectares/yr. The lower average annual yield obtained from farmers’ interviews were attributed to farmers’ tendency to under-report their yields.

Table 24: Comparison of annual coca leaf yield from weighing of samples and from farmers’ interviews Average fresh coca leaf yield Average fresh coca leaf from weighing of samples yield from interviews Region # fields Averagee # fields Average (kg/hectares/yr) (kg/hectares/yr) Meta-Guaviare 103 9,900 348 8,200 Orinoco 50 7,100 248 7,800 Sur de Bolivar 55 6,600 224 5,200 Putumayo-Caqueta 80 5,600 295 4,600 Sierra Nevada 45 5,400 148 5,100 Catatumbo 45 4,600 141 5,300 Pacific 85 2,600 342 1,700 Country level 463 6,300 1,746 5,700

Figure 12. Comparison of annual coca leaf yield from weighing of samples and from farmers’ interviews

12.000

10.000

8.000

6.000 kg/ha/yr

4.000 9.900 8.200 7.800 7.100 6.600

2.000 5.600 5.400 5.300 5.200 5.100 4.600 4.600 1.700 0 2.600 Meta- Orinoco Sur de Putumayo- Sierra Catatumbo Pacific Guaviare Bolivar Caqueta Nevada

Avg annual yield from weighing of samples Avg annual yield from farmer's interviews

58 Colombia Coca Survey for 2005

During the interviews, the 1,389 farmers were also asked whether or not they had lost part or all of any coca harvest. Overall, 47% of fields were found to have experienced a decrease in yield or a total loss of at least one harvest. The highest percentage of fields with loss of harvest or reduced productivity was found in the Pacific region (94%), while the lowest was found in the Sur de Bolivar region (11%).

Table 25: Loss of coca harvest or reduced productivity, as reported by farmers Number of % fields with loss Region of harvest or coca fields reduced productivity Pacific 342 94% Orinoco 248 52% Meta-Guaviare 348 44% Sierra Nevada 148 39% Catatumbo 141 39% Putumayo-Caqueta 295 17% Sur de Bolivar 224 11% All regions 1,746 47%

For the fields that experienced a loss of harvest or reduced productivity, the most often reported cause as aerial spraying (on average 48%). At the regional level however, it is worth noting that in Meta-Guaviare, the most often reported cause was pest (53%), and in the Orinoco region, the most often reported cause was the climate (55%).

Table 26: Causes of loss of harvest, as reported by farmers Aerial Pest and Region Climate Other Spraying diseases Putumayo-Caqueta 62% 18% 20% - Catatumbo 96% 0.6% 3% - Sur de Bolivar 89% 9% - 2% Sierra Nevada 76% 6% 17% 2% Orinoco 18% 9% 55% 18% Meta Guaviare 25% 53% 18% 4% Pacific 58% 38% 4% 0.6% All regions 48% 37% 12% 3%

Once their fields have been sprayed, the farmers responded that in 45% of the cases they would just wait for the coca plants to recover, in 20% of the cases they would cut the damaged coca plants, in 12% of the cases they would re-plant their fields, while the remaining 23% adopted for a combination of these solutions.

Coca bush affected by a disease Coca fields sprayed

59 Colombia Coca Survey for 2005

Figure 13. Causes of loss of harvest in 2005

120%

100% 96% 89%

80% 76% 62% 58% 60%

40% 25% 18% 20%

0% Putumayo- Catatumbo Sur de Sierra Orinoco Meta Pacific Caqueta Bolivar Nevada Guaviare

Aerial spraying Pest Climate Other

The average annual yield reported for the fields that experienced a loss of harvest was 36% lower than the average annual yield reported for the fields that experienced no loss. On average, farmers reported an annual coca leaf yield of 6,900 kg/hectares/year from fields that experienced no loss of harvest, while they reported an annual average coca leaf yield of 4,300 kg/hectares/year from fields that experienced a loss of harvest.

Table 27: Comparison of the average annual coca yield from farmers reporting losing a harvest with farmers reporting no loss of harvest

Without any loss With loss Region % kg/hectares/yr % kg/hectares/yr Putumayo-Caquetá 83% 4,600 17% 4,100 Catatumbo 61% 6,400 39% 3,700 Sur de Bolivar 89% 6,000 11% 2,000 Sierra Nevada 61% 5,800 39% 3,800 Orinoquía 48% 8,700 52% 6,900 Meta Guaviare 56% 8,700 44% 7,000 Pacific 6% 3,000 94% 1,600 All regions 53% 6,900 47% 4,300

Figure 14. Comparison of the average coca yield from farmers reporting losing a harvest with farmers reporting no loss of harvest 10.000 9.000 8.000 7.000 6.000 5.000

0 0 kg/ha

0 4.000 0 8.700 8.700

0 9

. .

0 3.000 7 6 0 0

0 6.400

0 0 0 0 6.000 5.800

0 8 0 2.000 7 .

. . 4.600

0 6

. 3 . 1.000 3 2 1 3.000 - Putumayo- Catatumbo Sur de Bolivar Sierra Nevada Orinoquia Meta Pacific Caqueta Guaviare

Without any loss With loss Farmers also reported on their use of fertilizers, herbicides and pesticides. The most often used fertilizer is Triple 15, which 54% of the farmers used on average at the rate of 176 kg every 72 days. Overall, the farmer’s interviews reported the use of 32 different fertilizers. By combining their average quantity used by hectare with the frequency of use and the proportion of farmers reporting their uses, the total quantity of fertilizers used on the 86,000 hectares of coca cultivation in 2005 amounted to 85,258 metric tons and about 9 million litres.

60 Colombia Coca Survey for 2005

As for herbicide, 55% of the farmers reported to use Gramaxone, spreading about 2.7 liters of the product every 76 days. For the total coca cultivation of 86,000 hectares, about 618,254 liters of Gramaxone were spread on the coca fields in 2005. It is also interesting to note that round up and Glyphosate, two products used in the aerial spraying, were also used by farmers. About 129,000 liters were spread by the farmers on their coca fields in 2005.

As for pesticides, 25% of the farmers reported to use Tamaron, spreading about 2 liters of the product every 70 days. For the total coca cultivation of 86,000 hectares, about 223,600 liters of Tamaron were spread on the coca fields in 2005. Overall, the farmer’s interviews reported the use of 30 different pesticides.

When asked for the main reason for growing coca plants, 55% of the farmers mentioned economic reasons, either mentioning openly the profitability of the coca market or the fact that coca plants and its derivatives were easily marketable. Another 28% claimed they had no other choice, and the remaining 17% stated that coca cultivation was part of the local culture.

Coca plants interspersed with plantain cultivation

Table 28: Reasons for cultivating coca in the sample group

Easily No other Part of local Region Profitability marketable choice culture Putumayo-Caquetá 28% 28% 25% 20% Catatumbo 44% 6% 28% 22% Sur de Bolivar 47% 6% 32% 15% Sierra Nevada 31% 32% 25% 12% Orinoquía 41% 27% 18% 13% Meta Guaviare 36% 17% 26% 21% Pacífico 32% 24% 37% 7% All region 34% 21% 28% 17%

On the other hand, only 9% of the coca farmers reported having received any kind of assistance to stop growing coca plants.

Table 29: Assistance to stop growing coca cultivation in the sample group

Proportion of farmers who Proportion of farmers who Region received aid to did not receive aid stop coca cultivation to stop coca cultivation Putumayo-Caquetá 12% 88% Catatumbo 0% 100% Sur de Bolivar 5% 95% Sierra Nevada 0% 100% Orinoquía 3% 97% Meta Guaviare 15% 85% Pacífico 0% 100% All regions 9% 91%

61 Annual coca leaf production in Colombia, 2005

75°W 70°W

Colombia Caribbean Sea

South America La Guajira 2,900 Atlántico

Magdalena Sierra NevadaCesar 10°N

R 10°N

M a g da len a VENEZUELA PA N Sucre A M 3,900 A Bolívar Córdoba Catatumbo Norte de Santander

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85,500 12,700 Putumayo - CaquetaCaquetá Putumayo Amazonia

0° Vaupés 0° Río Caqu etá BRAZIL

R ío P u tum ECUADOR a yo Amazonas

Annual coca leaf production (metric tons) PERU

Rí o Am Total coca leaf producction az on metric as Tons. 0300150 km Region Regions Geographic coordinates WGS 84 International boundaries 5°S Department boundaries 75°W 70°W 5°S

2.2.3 COCA LEAF, COCA PASTE AND BASE PRODUCTION

The potential production of fresh coca leaf in Colombia for 2005 was calculated by multiplying the regional average annual yield of fresh coca leaf by the regional area under coca cultivation. The lower and upper estimates were calculated by using the lowest and highest annual regional yields. The potential production of fresh coca leaf was estimated thus estimated at 567,400 mt, within a range of 510,400 mt and 627,200 mt (or +/- 10%). Assuming 57% moisture content, this was equivalent to a total production of 244,000 mt of sun-dried coca leaf.

Table 30: Calculation of the 2005 production of fresh coca leaf in Colombia

Coca cultivation Annual yield Production % of 2005 Region (hectares) (kg/hectares/year) (tons)* total Meta-Guaviare 26,087 9,900 258,300 46% Sur de Bolivar 13,618 6,600 89,900 16% Putumayo-Caqueta 15,260 5,600 85,500 15% Orinoco 9,701 7,100 68,900 12% Pacific 17,434 2,600 45,300 8% Amazonia6 2,261 5,600 12,700 2% Catatumbo 846 4,600 3,900 1% Sierra Nevada 543 5,400 2,900 1% Country level 567,400 100% * Data estimated from the Coca leaf yield Survey DNE-UNODC

Figure 15. Production of fresh coca leaf in Colombia 2005

300,000

250,000

200,000

150,000 mt 258,300 100,000

50,000 89,900 85,500 68,900 45,300 12,700 3,900 2,900 - Meta- Sur de Bolivar Putumayo- Orinoco Pacific Amazonian Catatumbo Sierra Nevada Guaviare Caqueta

Due to the high annual yield observed in Meta-Guaviare, the region accounted for 45% of the total production, although it represented only 30% of the total coca cultivation.

6 The coca leaf yield survey was not implemented in the Amazonian region. The coca leaf yield for the Amazonian region was approximated with the coca leaf of the region of Putumayo-Caqueta which has the same environmental characteristics. 63 Colombia Coca Survey for 2005

In Colombia, traditional use of the coca leaf can be considered marginal, and virtually the entire coca leaf production is destined for cocaine production. There are various ways to produce cocaine. The overall process is that leaves are processed into coca paste, then into cocaine base, then into cocaine hydrochloride. The farmers can either sell the coca leaves, or process these leaves into coca paste or base. The last step, the processing of the cocaine base into cocaine hydrochloride is not carried out by farmers but in clandestine laboratories.

Coca paste is the first product obtained in the process of alkaloid extraction from coca leaves using sulfuric acid and combustibles. It is then a cocaine sulfate with a high content of organic remnants, pigments, tannin, and other substances. Cocaine base is obtained by dissolving the cocaine sulphate in an acid and adding an oxidant agent (potassium permanganate being the oxidant most often used), then adding a base. The resulting substance is precipitated and filtered.

The coca leaf yield survey revealed that 34% of the farmers, representing only 25% of the total coca leaf production, sell directly the coca leaves, without processing them. Another 35% of the farmers, who represent 26% of the total coca leaf production, processed them into coca paste, and the remaining 31% of the farmers, who represent 49% of the total coca leaf production, process their leaves into cocaine base.

Table 31: Division of labour among coca producers

% of farmers % of farmers processing % of farmers processing Region not processing coca leaves into coca leaves into coca leaves coca paste cocaine base Putumayo-Caquetá 32% 65% 3% Catatumbo 71% 20% 9% Sur de Bolivar 43% 5% 52% Sierra Nevada 49% 22% 29% Orinoco 15% 0% 85% Meta Guaviare 9% 26% 65% Pacific 68% 31% 1% All regions 34% 35% 31%

Figure 16. Proportion of farmers processing and not processing coca leaves

90%

80%

70%

60%

50%

40%

30%

20%

10%

0% Putumay o- Catatumbo Sur de Bolivar Sierra Nevada Orinoco Meta Guaviare Pacific Caquetá

% of farmers not producing paste or base % farmers producing paste % farmers producing base

During the survey, the farmers who processed their coca leaves were asked about the amount of coca leaves and ingredients used, and the amount of final product obtained. The distinction between paste and base is not easy to draw because the terms are often misused by the farmers themselves. In order to distinguish between these two products, it was decided to refer to cocaine base when the farmers reported the use of permanganate potassium or ammonium for processing their leaves, and coca paste when the farmers did not report the use of these products. 64 Colombia Coca Survey for 2005

Therefore, it was possible to calculate the average conversion rate of one metric ton of coca leaves into coca paste (1.63 kg) and cocaine base (1.52 kg). In other words, coca paste yielded 93% of cocaine base.

Table 32: Average kg of coca paste or base obtained from one metric ton of coca leaf

Number of Avg kg of coca Avg kg of cocaine Region PAU’s7 process paste per metric base per metric coca leaf tons of coca leaf tons of coca leaf Putumayo-Caqueta 152 1.75 1.74 Catatumbo 37 1.39 1.38 Sur de Bolivar 107 1.41 1.41 Sierra Nevada 69 1.45 1.45 Orinoco8 118 - 1.73 Meta Guaviare 285 1.53 1.52 Pacific 79 1.55 1.46 All regions 847 1.63 1.52

Figure 17. Regional average of quantity (kg) of coca paste and base obtained from one metric ton of fresh coca leaf.

2 1.8

1.6 1.4

1.2 1

5 4 3

7 7 7

. . .

3 2

1 1 5

5 1

1 5 5 0.8 1

. 4 4 . .

4 4 . 3 .

3 .

. 1 1

1 1

1 0.6 1 0.4

0.2

0 0 Putumayo- Catatumbo Sur de Bolivar Sierra Nevada Orinoco Meta Guaviare Pacific Caquetá

Avg kg of cocaine paste per ton of coca leaf Avg kg of cocaine base per ton of coca leaf

7 Agriculture Production Unit: an economical unit dedicated to the production or others licit crops under a unique management of a person or a family 8 The Orinoco farmers process only cocaine base. 65 Colombia Coca Survey for 2005

About 27% of the coca leaf production was processed into coca paste. Thus, out of the total production of 567,400 mt of coca leaf, about 151,000 mt tons were processed into coca paste. Using the conversion rate of 1.63 kg of coca paste out of every tons of coca leaf, the total coca paste production from farmers was estimated at 246 mt. This was equivalent to 229 mt of coca base, based on a coca paste to base ratio of 93%.

Table 33: Calculation of coca paste production

Proportion of Leaf production Total leaf Region farmers producing processed into production coca paste coca paste mt % mt Meta-Guaviare 258,300 26% 67,200 Sur de Bolivar 89,900 5% 4,500 Putumayo-Caqueta 85,500 65% 55,600 Orinoco 68,900 - - Pacific 45,300 31% 14,000 Amazonian 12,700 65% 8,300 Catatumbo 3,900 20% 800 Sierra Nevada 2,900 22% 600 Country level 567,400 151,000

The rest of the farmers either processed directly into cocaine base, or sell their production as leaf, corresponding to a total of 416,300 mt. Assuming that the production of coca leaf sell directly by the farmers was processed outside the farm into cocaine base at the same rate as within the farm of 1.52 kg per tons of leaf, the total amount of cocaine base was estimated at 633 mt.

Table 34: Calculation of cocaine base production

Proportion of Proportion of Total leaf Total leaf farmers farmers selling Region production for production producing leaf for base base processing cocaine base processing mt % % Mt Meta-Guaviare 258,300 65% 9% 191,100 Sur de Bolivar 89,900 52% 43% 85,400 Putumayo-Caqueta 85,500 3% 32% 29,900 Orinoco 68,900 85% 15% 68,900 Pacific 45,300 1% 68% 31,300 Amazonia 12,700 3% 32% 4,400 Catatumbo 3,900 9% 71% 3,000 Sierra Nevada 2,900 29% 49% 2,300 Country level 567,400 416,300

Overall, either produced from coca paste or directly from coca leaves, the total production of cocaine base in Colombia in 2005 was estimated at 862 metric tons.

During the interviews, the farmers also reported on their use of Potassium Permanganate, an important precursor for cocaine hydrochloride. The use of Potassium Permanganate is restricted by law. Based on the average quantity of Permanganate used per ton of coca leaf processed and the proportion of farmers reporting its use, it was possible to estimate the total use of Permanganate at the farm-gate level at about 90 tons.

66 Colombia Coca Survey for 2005

Table 35: Calculation for estimating the quantity of Permanganate used by farmers

Leaf Avg use of % of farmers Total use of production Permanganate per Region using Permanganate (mt) tons of leaf permanganate (mt) (kg) Meta-Guaviare 258,300 6.2% 1.4 22.4 Sur de Bolivar 89,900 39.9% 1.1 39.5 Putumayo-Caqueta 85,500 2.1% 1.3 2.3 Orinoco 68,900 29.0% 1.2 24 Pacific 45,300 0.7% 1.1 0.3 Amazonian 12,700 2.1% 1.3 0.3 Catatumbo 3,900 5.0% 1.1 0.2 Sierra Nevada 2,900 26.2% 1.4 1.1 Country level 567,400 90.1

Processing coca leaves into coca paste

Cutting the coca leaves Preparing the coca leaves

The coca leaves mixed with gasoline The coca paste

67 Colombia Coca Survey for 2005

2.2.4 REVISED POTENTIAL COCAINE PRODUCTION

The coca yield survey implemented by UNODC and DNE in 2005 focused on obtaining data on the yield of coca leaf and on the processing by farmers of coca leaf into coca paste or cocaine base. The data on annual coca leaf yield and the conversion rates of coca leaves into coca paste and cocaine base were combined with the annual census estimating coca cultivation to estimate the total productions of coca leaf, coca paste and cocaine base.

To estimate cocaine production, UNODC relied on external sources. Indeed, investigating clandestine laboratories was not possible because these laboratories are directly in the hands of narco-traffickers. So far, UNODC did not collect any data to estimate the efficiency of these clandestine laboratories nor on the quantity of cocaine hydrochloride that can be produced from coca paste/base. In addition to the technical difficulties to obtain these data, this kind of survey is also complicated by the existence of several techniques to produce cocaine hydrochloride, and various purity level of the end-product.

The UNODC calculation for cocaine production in 2005 relied on its own estimate of cocaine base and on data obtained by the US Operation Breakthrough regarding the conversion rate from cocaine base to cocaine hydrochloride and the purity level of cocaine hydrochloride for conversion into equivalent of pure cocaine production.

US Operation Breakthrough mentioned a 1:1 conversion rate from cocaine base to cocaine hydrochloride. However, this was obtained from laboratories especially set up for this kind of survey, and thus this conversion rate is likely to correspond to ideal circumstances not always obtained in reality, especially by farmers. The same source also communicated to UNODC that cocaine base contained about 75% of pure cocaine alkaloid and the cocaine hydrochloride contained about 85% of pure cocaine alkaloid. From this data, UNODC derived a 1:0.9 ratio from cocaine base to cocaine hydrochloride. This ratio of 1:0.9 was deemed to apply better to the cocaine base production which corresponded to cocaine base obtained from farmers not working in ideal conditions.

Based on this data, the 862 metric tons of cocaine base were equivalent to 776 metric tons of cocaine hydrochloride or 660 metric tons of pure cocaine. This represented an average pure cocaine yield per hectare of 7.7 kg/hectares.

Since 2002, UNODC estimated the cocaine production in Colombia based on the average of the two cultivation figures recorded as of December of the previous year and December of the current year. This average was then multiplied by the estimated yield per hectare. This method enables to take into account that coca fields are harvested more than once in a given year and eradication activities are spread over several months. Therefore, based on an average coca cultivation level of 83,000 hectares, the pure cocaine production in Colombia for 2005 amounted to 640 metric tons.

Annual cocaine production figures for previous years relied on estimates of cocaine yield per hectare from external sources (4.7 kg/hectares, Operation Breakthrough), and therefore were not comparable with the 2005 estimate of 7.7 kg/hectares which was based on the results of the first coca leaf yield survey implemented jointly by the Colombian Government and UNODC. Based on the results of the pilot yield study in 2004, which already indicated that cocaine yield could be higher, as well as the findings of the coca yield survey in 2005, which found that farmers reported similar yields for 2004 and 2005, it was concluded that potential cocaine production in 2004 should be revised using the new findings.

With the newly established cocaine yield of 7.7 kg/ha, the 2004 cocaine production was revised at 640 metric tons (previous estimate of 390 metric tons). For the 2003 cocaine estimate, the cocaine yield of 5.8 kg/ha reported by the Colombian Government to UNODC Annual Questionnaire was used to revised the cocaine production to 550 metric tons (previous estimate of 440 metric tons).

68 Colombia Coca Survey for 2005

The coca leaf yield survey carried out in 2005 jointly by the Colombian government and UNODC helped to better assess the cocaine production in Colombia, and could help to revise previous estimates. It also enabled to understand better why the increasing rate of cocaine seizures reported to UNODC in the recent years did not lead to price rises or any significant decline in cocaine purity in the main consumer markets of the United-States and Europe.

Figure 18. Cocaine production* in Colombia 1995 - 2005 (in metric ton)

800

700

600

500

400 Metric tons 300

200

100

0 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005

Metric tons 230 300 350 435 680 695 827 580 550 640 640

*Production data for 2004 and 2005 is based on new field research.

In 2005, at the global level, the potential cocaine production in Colombia represented 70% of the global potential cocaine production of 910 metric tons.

Table 36: Global potential cocaine production, 1995 – 2005

% % of Change 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2005 2004- total 2005 Bolivia 240 215 200 150 70 43 60 60 79 107 90 -16% 10% Peru 460 435 325 240 175 141 150 165 155 190 180 -5% 20% Colombia 230 300 350 435 680 695 617 580 550 640 640 0% 70% Total 930 950 875 825 925 879 827 805 784 937 910 -3% 100% Source: UNODC, in italic revised figures as of 2005

69 Colombia Coca Survey for 2005

Figure 19. Global potential cocaine production, 1995 - 2005

Colombian production data for 2004 1.000 and 2005 is based on new field research.

175 190 180 800 141 150 435 165 460 325 240 155

600 metric ton 640 400 680 640 350 695 230 300 435 617 580 550

200

240 215 200 150 79 107 90 70 43 60 60 0 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005

Bolivia Colombia Per u

2.2.5 OPIUM LATEX AND HEROIN PRODUCTION

DIRAN’s previous estimates assumed that Colombian farmers harvested three opium poppy crops per year. Recent US government studies on heroin production showed however that, in Colombia, opium poppy farmers cultivate two crops per year in all growing regions but one (Nariño department).

According to these studies, opium poppy fields yield between 13 and 17 kilograms of latex per hectare and per harvest, depending on the growing region. Assuming an average yield of 15 kilograms per hectare, and 2 harvests per year, the total potential opium latex production would be around 59 metric tons. Based on a conversion rate of 24 kg of opium latex for one kilo of pure heroin (US-DEA study, ‘Operation Breakthrough’ conducted in 2001), the total potential heroin production in Colombia would amount to about 2.5 metric tons of heroin in 2005, representing 0.5% of the global heroin production of 472 metric tons9.

Flowers and capsules of opium poppy

9 UNODC World Drug Report 2005 70 Colombia Coca Survey for 2005

2.3 PRICES

2.3.1 COCA LEAF, COCA BASE AND COCAINE PRICES

Between 2004 and 2005, coca leaf prices increased by 57% in US$ and by 35% in Colombian Pesos (COP). Average prices have usually been higher in the Pacific region (Nariño department). However, as of December 2005, prices in Nariño decreased and converged towards the national mean of about COP 2,500/kg (US$ 1.1/kg). In Nariño, the decrease in coca leaf prices is also reflected in a decrease in coca paste prices.

In Colombia, coca leaf is traded as fresh, whereas in Peru and Bolivia, coca leaf is traded as dried. Converted in equivalent dried coca leaf (assuming a moisture loss of 57% between fresh and sun- dried coca leaf, from 2004 UNODC coca leaf yield in Peru), coca leaf price in Colombia in 2005 established at US$2.56 /kg, which is comparable to prices of dry-coca leaf in Peru (US$ 2.9/kg) but lower than in Bolivia (US$ 4.4/kg).

Table 37: Coca leaf price (‘000 of COP/kg) in some regions of Colombia, 2005

Weighted Sample Putumayo Sierra Months national Centre Pacific size Caquetá Nevada average January 10 1,920 2,400 2,930 1,880 480 February 8 2,070 2,400 3,200 1,880 800 March 6 2,510 2,400 4,000 2,020 1,600 April 6 2,560 2,400 4,200 2,020 1,600 May 6 2,410 2,400 3,600 2,020 1,600 June 7 2,310 2,240 3,360 2,020 1,600 July 6 2,330 2,400 3,280 2,020 1,600 August 5 2,640 2,800 4,160 2,000 1,600 September 6 3,170 2,200 5,000 2,320 October 6 2,630 3,000 4,000 2,300 1,200 November 7 2,670 3,000 4,200 2,120 1,360 December 9 2,450 3,070 2,800 2,240 1,680 Annual 82 2,470 2,560 3,730 2,070 1,370 Average (COP) Annual 1.1 1.1 1.6 0.9 0.6 Average (US$) Source: National Monitoring System Supported by UNODC-SIMCI

Most peasants sell coca paste that they themselves produce in small “kitchen” located on the farm. The necessary technical know-how was brought to the farmers during the 90’s by drug-traffickers to facilitate and increase the commercialisation of cocaine

Most coca growers sell their production as coca paste (a product the farmers called "pasta básica"). It is therefore a fair proxy indicator of the situation prevailing in the Colombia coca market. But one should take into account that the armed groups that tend to monopolise this trade often imposed their prices and conditions to the farmers. Therefore prices do not always react quickly according to the economic law of supply and demand.

Prices of coca paste increased from an average of US$ 810/kg in 2004 to US$ 910/kg in 2005 (+12%). However, during 2004 the Colombian Peso strengthened against the dollar by about 12%, and during 2005 strengthened another 4%. As a result of this appreciation, in local currency (Colombian pesos, COP), prices for coca paste remained virtually unchanged, from COP 2,119,000 in 2004 to COP 2,190,000 in 2005 (- 0.5%).

71 Colombia Coca Survey for 2005

Looking more closely at the prices trends within the year 2005, it is worth noting the decrease (-14%) between August (US$ 980/kg) and December (US$ 861/kg). As can be noted on the graph, the decrease at the national level can be attributed to the decrease in prices in the Pacific region (Nariño department), and to a lower extent to a decrease in prices in Putumayo-Caqueta. The decrease in prices in Nariño since August 2005 might be attributed to the intense drug control and aerial spraying efforts in this region that hindered its trade. In the absence of traders, prices would have decreased.

Balancing the decrease in prices in Nariño, prices of coca paste in the northern region of Sierra Nevada established at a rather high level of about US$1,200 /kg since May 2005 (or about 30% higher than the national average of US$915 during the same period). Reportedly, these high prices in Sierra Nevada would be due to the increase in prices of the various chemicals and precursors necessary to produce the paste, in particular the increase of the prices of gasoline that sometimes comes from Venezuela.

Table 38: Monthly coca paste price in Colombia 2005 (in '000 COP/kg)

Weighted Sample Meta – Putumayo- Sierra Months national Pacific Centre size Guaviare Caqueta Nevada average January 15 2,122 2,300 2,067 1,700 2,166 2,380 February 13 2,093 2,300 2,500 1,700 2,166 1,800 March 14 2,019 2,300 2,100 1,700 2,194 1,800 April 14 2,154 2,400 2,175 1,700 2,194 2,300 May 13 2,124 2,100 2,025 1,500 2,194 2,800 June 14 2,103 2,000 1,900 1,600 2,214 2,800 July 13 2,163 2,300 1,900 1,600 2,217 2,800 August 12 2,260 2,300 2,400 1,600 2,200 2,800 September 13 2,129 2,100 2,300 1,875 2,243 - October 11 2,115 2,100 2,200 1,675 2,100 2,500 November 14 2,059 2,000 1,900 1,525 2,071 2,800 December 12 1,963 2,000 1,400 1,475 2,140 2,800 Average 158 2,119 2,183 2,072 1,638 2,175 2,507 (COP) Average 810 940 892 705 937 1,080 (US$/kg) Source: National Monitoring System Supported by UNODC-SIMCI

Figure 20. Monthly coca paste price in Colombia 2005 (in '000 COP/kg)

3,200,000

2,700,000

2,200,000 COL/kg

1,700,000

1,200,000 J-05 F-05 M-05 A-05 M-05 J-05 J-05 A-05 S-05 O-05 N-05 D-05

Centre Pacific Putumayo-Caqueta Sierra Nevada Meta-Guaviare

72 Colombia Coca Survey for 2005

The collection of prices data and their analysis is complicated by the absence of standard in naming the products, and in the absence of indications on the quality of the products. This is the case for cocaine base and coca paste which can easily be confused. However, the data on cocaine base, albeit less frequently reported than the data on coca paste, confirmed that cocaine base is a more refined product than coca paste, and that both product can be traded. On average, for 2005, prices of cocaine base were 20% higher than the prices of coca paste.

Coca paste is the product most often traded by farmers, whereas cocaine base would be produced mainly in clandestine laboratories as an intermediary product to cocaine hydrochloride.

Table 39: Monthly cocaine base price in Colombia 2005 (in '000 COP/kg)

Weighted Sample Putumayo Sierra Orinoc Meta- Months national Centre Pacific size Caqueta Nevada o Guaviare average January 2 2,425 - - 2,650 - 2,200 - February 2 2,425 - - 2,650 - 2,200 - March ------April ------May 2 2,650 2,650 - - - - - June 5 2,617 2,900 - - 2,750 2,200 - July ------August ------September 22 2,631 2,867 2,267 2,750 2,475 2,725 2,700 October ------November ------December 9 2,443 2,588 2,275 - 2,800 2,150 2,400 Average 42 2,532 2,751 2,271 2,683 2,675 2,295 2,550 (COP/kg) Average - 1,090 1,190 990 1,150 1,160 990 1,110 (US$/kg)

Figure 21. Comparison of the prices of coca paste and cocaine base in 2005 in US$/kg

1200

1000

800

US$/kg 600 1.190 1.150 1.080 1.160 1.110 990 990 937 892 940 400 705 200

0 Centre Pacific Putumayo- Sierra Nevada Orinoco Meta-Guaviare Caqueta

Coca paste Cocaine base

Because of the clandestine nature of the trade, cocaine prices are less easily collected than prices of coca paste or coca leaf. This explains the fewer data available for cocaine prices than for other products. In Colombia, prices of cocaine hydrochloride are collected by DIRAN (the Anti-Narcotics Police), and refer to whole sale prices in the main cities. The purity level was not investigated in this study. 73 Colombia Coca Survey for 2005

The graph below presents the annual averages of cocaine prices since 1991. The prices are presented both in Colombian Pesos (COP) and US$ as constant price of 1991 to correct for the inflation. In addition, reported annual aerial spraying of coca cultivation has been plotted on the right axis.

As can be hinted from the graph, the analysis of the data revealed a positive correlation between the annual prices of cocaine in Colombian pesos and the annual total of area sprayed (ȡ= 0.92 for constant prices between 1994 and 2005), meaning that in general an increase in area sprayed corresponds to an increase in cocaine prices in Colombian Pesos. However, that relationship cannot be so strongly established for prices of cocaine in US$ (ȡ= 0.19 for constant prices between 1994 and 2005).

Table 40: Cocaine HCl price in Colombia 1991 – 2005

Year '000 COP/kg US$/kg

1991 950 1,500 1992 1,020 1,500 1993 1,377 1,750 1994 1,488 1,800 1995 1,232 1,350 1996 1,762 1,700 1997 1,769 1,550 1998 2,101 1,472 1999 2,800 1,592 2000 3,100 1,485 2001 3,599 1,571 2002 4,389 1,532 2003 4,500 1,565 2004 4,600 1,713 2005 4,315 1,860 Source: DIRAN

Figure 22. Annual average cocaine prices and annual aerial spraying levels, 1991-2005, Colombia

160,000 1,900 140,000 1,700 120,000

g 1,500 100,000

1,300 80,000

1,100 60,000 coca (ha) fumigated '000 COP andUS$/k

900 40,000

700 20,000

500 0 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05

Aspersion '000 COP/kg US$/kg

74 Colombia Coca Survey for 2005

The data from the monthly survey on prices of the Andean coca market combined with the data from the coca leaf yield survey, enabled to calculate theoretical income from the sale of coca leaf, coca paste and cocaine base. The differences between these incomes give an indication of the value-added given by the farmers to coca paste and cocaine base. The table below shows a definite increase in the value added at each step of the processing. The value-added of cocaine base (+51%), the final product that can be produced by the farmers, also explained why 49% of the coca leaf production was transformed into cocaine base by the farmers.

Table 41: Annual income per hectare of coca cultivation for different derivatives of coca leaf

Annual Average annual Annual Value-added Derivates yield/hectares price income/hectares from coca leaf kg/hectares US$/kg US$/hectares % Coca leaf 6,300 1.1 6,930 Coca paste 10.3 910 9,370 35% Cocaine base 9.6 1,090 10,460 51% Cocaine hydrochloride 7.7 1,860 14,320 107%

Figure 23. Theoretical annual income per hectare of coca leaf, coca paste, cocaine base and cocaine hydrochloride

16.000 14.320 14.000

12.000 10.460 10.000 9.370 8.000 6.930

US$/ha 6.000 4.000 2.000 - Coca leaf Coca paste Cocaine base Cocaine hydrochloride

Based on the total production of each product sold by the farmers and the respective prices in 2005, the total farm-gate income value resulting from coca cultivation was estimated at about US$ 843 millions. This value does not take into account the farmers production costs, like cost of herbicides, pesticides, fertilizers and labour wages. It should also be noted that 51% of this value (US$ 430 million) is made in the region of Meta-Guaviare, because of its very high annual yield (9,900 kg/hectares) and high proportion of farmers processing cocaine base (65%)

Table 42: Value of the production of coca leaf and its derivative at farm-gate level

Product kg sold US$/kg US$ value Leaf 138,657,000 1.1 152,522,700 Paste 246,000 910 223,860,000 Base 428,000 1090 466,520,000 Rounded total 843,000,000 farm-gate value

The total farm-gate value of production of coca leaf and its derivatives, corresponded to 0.7% the 2005’s GDP of US$ 122 billion according to DANE. In 2005, the total farm-gate value of coca cultivation represented 6% of the agricultural GDP of US$13.8 billions.

The coca leaf yield survey also enabled to collect data, through interviews, on the average area of coca cultivation by family. It was found that on average, a family cultivated about 1.25 hectares of coca plants. For a total area under coca cultivation of 86,000 hectares in 2005, the number of family cultivating coca plants was thus estimated at 68,600 families. 75 Colombia Coca Survey for 2005

Table 43: Number of families involved in coca cultivation in Colombia in 2005

Coca cultivation person per hectares Region # family* # person* (hectares) family per family Meta-Guaviare 25,950 5.7 1.3 20,000 114,000 Sur de Bolivar 14,780 4.7 2.1 7,000 32,900 Putumayo- 13,950 4.2 0.7 19,900 83,580 Caqueta Orinoco 9,710 4.4 3.7 2,600 11,440 Pacific 17,640 5.1 1.2 14,700 74,970 Amazonia 2,330 4.2 0.7 3,300 13,860 Catatumbo 850 4.8 1.3 700 3,360 Sierra Nevada 540 5.1 1.5 400 2,040 All regions 85,750 - 1.25 68,600 336,150 * Data estimated from the Coca leaf yield Survey DNE-UNODC

Thus, US$ 843 million divided among 68,600 families represented an annual gross income per family of US$ 12,300. For a total of 336,150 persons in these families, this was equivalent to an annual per capita gross income of US$2,500. The gross income value, which do not take into account the production costs, like costs of herbicides, pesticides, fertilizers and labour wages.

2.3.2 OPIUM LATEX AND HEROIN PRICES

In Colombia, opium is harvested in the form of latex. This is unlike in Asia where opium is harvest as a denser gum. In Colombia, opium poppy cultivation is confined to the mountainous areas because it requires low temperatures at some stages in the growth cycle. Opium poppy is therefore not found in association with coca cultivation which is rather located on the low land.

The graph of the monthly average of opium latex prices in the Sur de Bolivar and Pacific regions indicates an increase in price starting since May 2005. This trend is also noticeable in the increase of the annual averages: between 2004 and 2005, opium latex prices went up from US$ 164/kg to US$ 220/kg, equivalent to an increase of 34%. A similar trend can be noted in the annual average prices of heroin: between 2004 and 2005, heroin prices went up from US$ 7,635/kg to US$ 9,050/kg, equivalent to an increase of 19%. This increase corresponded to a decrease in reported opium poppy cultivation, from 5,000 hectares in 2004 to 2,000 hectares in 2005.

Table 44: Monthly opium latex prices in Colombia, 2001 – 2005 (‘000 COP/kg)

Months 2001 2002 2003 2004 2005 January - 638 288 450 560 February - 638 440 400 560 March - 638 393 400 512 April - 548 424 400 516 May - 583 519 450 400 June - 493 476 450 450 July - 517 480 400 480 August 700 431 531 400 525 September 638 339 534 450 546 October 638 347 469 450 614 November 638 457 389 500 576 December 638 447 389 450 666 Annual Average 650 506 444 433 534 (‘000 COP/kg) Annual Average 288 211 154 164 230 US$/Kg Sources: DIRAN, PDA, SIMCI (extrapolation in italic)

76 Colombia Coca Survey for 2005

Figure 24. Opium latex prices in Colombia, 2001 – 2005 by month (‘000 COP/kg and US$/kg) 800 350

700 300

600 250

500 200

400 US$/kg 150 '000 COL/kg 300

100 200

50 100

0 - Jul-01 Jan-02 Jul-02 Jan-03 Jul-03 Jan-04 Jul-04 Jan-05 Jul-05 Jan-06

COP/kg US$/kg Source: UNODC/SIMCI

Table 45: Heroin prices in Colombia 2003 - 2005 by month

2003 2004 2005 Month '000 '000 '000 US$/kg US$/kg US$/kg COP/kg COP/kg COP/kg January 14,500 5,160 21,000 7,639 20,100 8,499 February 14,333 4,978 18,000 6,623 20,100 8,590 March 15,250 5,16918,000 6,740 - - April 15,000 5,05618,000 6,819 - - May 17,500 5,983 21,000 7,722 23,000 9,833 June 17,500 6,034 21,000 7,730 20,500 8,794 July 17,650 6,25918,000 6,784 - - August 15,000 5,21218,000 6,927 - - September 18,000 6,283 20,800 8,148 19,146 7,867 October 18,000 6,294 22,000 8,525 21,250 9,271 November 18,000 - 23,000 9,090 19,500 8,553 December 18,000 - 22,000 9,123 19,389 8,508 Annual Average 16,561 5,740 20,067 7,635 21,051 9,050 Source: DIRAN

77 Colombia Coca Survey for 2005

2.4 REPORTED AERIAL SPRAYING AND MANUAL ERADICATION

The Colombian anti-drugs strategy includes a number of measures ranging from aerial spraying, to force or voluntary manual eradication, including alternative development and crops substitution programmes. UNODC did not participate in or supervise the spraying activities. All data were received directly from DIRAN.

By far the most important is the spraying programme carried out by the Antinarcotics Police – DIRAN. This is realized through aerial spraying with a mixture of products called Round up – composed of an herbicide called glyphosate - and a surfactant called Cosmoflux and other additives. In late 2002, the National Narcotics Council approved an herbicide concentration of 2.5 litres per hectare for opium poppy and 10.4 litres per hectare for coca, with a view to increasing the spraying effectiveness rate, which was estimated as being 90%.

However, it should be kept in mind that the chemical mixture has effect over the leaves and not over the roots or the soil, and therefore the bush can be subject of a prune operation at about one feet over the ground to obtain a renewal of the bush in about six months.

The Illicit Crop Eradication Programme foresees an Environmental Management Plan and environmental auditing, as well as periodic verifications on the ground of the effectiveness of spraying activities and their environmental impact. The Ministry of Environment certified in July 2004 to the “Eradication of Illicit Crops Programme by Aerial Spraying with Glyphosate”, the observance of the environmental obligations imposed in the Management Plan.

Reports from DIRAN showed that, for the fifth consecutive time, spraying activities reached record level in 2005. The DIRAN sprayed a total of 138,775 hectares, representing an increase of 2% compared to last year aerial spraying levels. For the first time in 2005, spraying activities were implemented in the departments of Chocó, Cundinamarca and Valle.

Regarding the estimates on spraying area, it is important to differentiate between the accumulated sprayed area reported here – which is the sum of areas during a given time period (calculated by multiplying the length of flight lines by their width), and the effective sprayed area, which disregards the overlap between adjacent sprayed bands and areas sprayed several times in the same calendar year.

Once coca fields are sprayed, it takes approximately six to eight months to recover productive crops when the bushes are pruned or replanted. However, when heavy rain occurs or bushes are washed by the farmers immediately after the spraying, the loss in coca leaf can be reduced and the crop recovered quickly. Therefore, coca cultivation sprayed during the first semester of 2005 had time to re-establish a vegetation cover that could be detected on the satellite images.

The sustainability of the eradication efforts depends to a large extent on the real alternatives open to the farmers and to the displacement of the cultivation into new and more remote areas of the country (balloon effect).

In addition to spraying, the Army reported the manual eradication of 31,287 hectares of coca cultivation, a record compared to previous levels of 6,234 hectares in 2004 and 4,011 hectares in 2003. The total of both types of eradication (spraying and manual) amounted to 170,062 hectares in 2005.

The Government also reported the aerial spraying of 1,624 hectares and the manual eradication of 484 hectares of opium poppy cultivation. The total of both types of eradication (spraying and manual) amounted to 2,108 hectares.

78 Colombia Coca Survey for 2005

Table 46: Reported aerial spraying and manual eradication of coca cultivation 2005 (ha) by month Aspersión Aérea Manual Total aerial Department Eradication spraying Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Total and manual eradication Amazonas ------216 216 Antioquia - - - 768 7.003 6.4902.411 161 - - - - 16.833 1677 18.510 Arauca ------1.839745 - - - 2.584 226 2.810 Atlántico ------3 3 Bolívar - - - - - 31 538 3.4362.405 - - - 6.409 188 6.597 Boyacá - - - 925 ------925 5233 6.158 Caldas - - - 1.090 ------1.090 575 1.665 Caqueta ------974 1.775784 430 512978 5.452 84 5.536 Cauca - 163 198 - 268 1.597337 504 - - 132 93 3.292 1383 4.675 Cesar ------14 14 Chocó 425 ------425 225 650 Córdoba - - - - 1.506 - 261 - - - - - 1.767 2498 4.265 Cundinamarca - - - - 43 ------43 1221 1.264 Guajira - - - - 388 - - - - 184 - - 572 1681 2.253 Guaviare 3.197 2.988 2.813 501 - - - - - 1.455 910 - 11.865 1888 13.753 Huila ------15 15 Magdalena - - - - 324 - - - - 59 - - 383 1180 1.563 Meta 2.143 296 71 2.833 1.604 1.504 628 - - 4.170 1.203 - 14.453 738 15.191 Nariño 9.953 14.289 21.327 9.881 169 305 - - - - 684 1.023 57.630 5712 63.342 N. Santander ------899 - - - 899 2209 3.108 Putumayo ------2.1932.420 1.337 3.236 2.577 11.763 1.543 13.306 Santander - - - 152 - - 1.117179 594 - - - 2.042 1145 3.187 Tolima ------8 8 Valle 5 ------5 1551 1.556 Vaupés - 340 ------340 - 340 Vichada ------74 74 Total 15.723 18.076 24.410 16.150 11.306 9.928 6.266 10.087 7.847 7.636 6.676 4.671 138.775 31.287 170.062

Table 47: Reported aerial spraying and manual eradication of opium poppy cultivation 2005 (ha) by month

Aspersión Aérea Total aerial Manual spraying Department Ene Feb Mar Abr May Jun Jul Ago Sep Oct Nov Dic Total Eradication and manual eradication

Nariño - 406 16 - - 33 171 - - - - - 626 484 1.110 Huila - - 197 100 - - 50 78 - - 29 454 - 454 Tolima - - 161 - - - 225 - - - - 12 399 - 399 Cauca - - 20 15 25 8 ------69 - 69 Cesar - - - - 20 - - - - 36 - - 56 - 56 Caqueta - - 20 ------20 - 20 Guajira ------0 Total - 406 414 116 45 41 446 78 0 36 0 41 1.624 484 2.108

Colombia Coca Survey for 2005

Aerial Spraying and manual eradication of coca cultivation in Colombia, by department and year (in ha)

Environmental Audit of the Sources Antinarcotics Police Department National Narcotics Bureau Department 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Guaviare 21394 14425 30192 37081 17376 8241 7477 7207 37493 30892 11865 Meta 2471 2524 6725 5920 2296 1345 3251 1496 6973 3888 14453 Caqueta 0 537 4370 18433 15656 9172 17252 18567 1 16276 5452 Putumayo - - 574 3949 4980 13508 32506 71891 8342 17524 11763 Vichada 50 85 - 297 91 - 2820 - - 1446 - Antioquia - 684 - - - 6259 - 3321 9835 11048 16833 Cordoba - 264 - - - - - 734 550 - 1767 Vaupés - - - 349 - - - - - 756 340 Cauca - - - - 2713 2950 741 - 1308 1811 3292 N. Santander - - - - - 9584 10308 9186 13822 5686 899 Nariño - - - - - 6442 8216 17962 36910 31307 57630 Santander - - - - - 470 - - 5 1855 2042 Boyacá - - - - - 102 - - - - 925 Bolivar ------11581 - 4783 6456 6409 Arauca ------11734 5336 2584 Magdalena ------1632 383 Guajira ------449 572 Caldas ------190 1090 Valle ------5 Chocó ------425 Cundinamarca ------43 Sub-total 23915 18519 41861 66029 43111 58073 94153 130364 132817 136552 138775 Manual ------1745 2752 eradication 4011 6,234 31287 Total 142,786 23915 18519 41861 66029 43111 58073 95898 133116 136828 170062 eradication

Net cultivation 51000 67000 79000 102000 160000 163000 145000 102000 86000 80000 86000

Table 48: Aerial spraying and manual eradication of opium poppy cultivation in Colombia, by department and year (in ha)

Environmental Audit of the National Sources Antinarcotics Police Department Narcotics Bureau Department 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Antioquia - 120 ------Caqueta - - 383 - - - - 401 - 39 20 Cauca 53 123 50 - 828 1,601 387 236 550 435 69 Cesar 305 713 91 650 125 423 426 548 1,004 505 56 Guajira 177 371 - 50 - - - - 75 18 0 Huila 1,383 715 2,175 749 1,426 2,421 429 545 391 913 454 Nariño - - - 313 1,090 630 788 725 342 626 Tolima 1,549 4,843 4,290 1,452 5,557 3,720 194 854 250 810 399 Sub-total 3,466 6,885 6,988 2,901 8,249 9,254 2,066 3,371 2,995 3,061 1,624 Manual ------319 213 271 804 497 eradication Total 3,466 6,885 6,988 2,901 8,249 9,254 2,385 3,584 3,266 3,865 2,121 eradication Net cultivation 5,200 4,900 6,600 7,400 6,500 6,500 4,300 4,200 4,200 4,000 2,000

81 Colombia Coca Survey for 2005

As can be seen from the graph below, the reduction in coca cultivation noted between 2001 and 2004, corresponded mainly to an increased and sustained spraying efforts. As aerial spraying stabilized after 2002 around 130,000 hectares, coca cultivation kept decreasing, although to a lower rate between 2003 and 2004. However, coca cultivation increased between 2004 and 2005, while spraying activities rose.

Figure 25. Comparison of net coca cultivation and accumulated sprayed areas (hectares).

180,000

160,000

140,000

120,000

100,000

hectares 80,000

60,000

40,000

20,000

- 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005

Coca cultivation Aerial spraying Sources: DIRAN, UNODC/SIMCI

When analysed at the department level, the data showed that the level of aerial spraying in 2001 had a statistically significant impact on the reduction of coca cultivation between 2001 and 2002. There was a significant negative correlation (-0.83) between the amount of aerial spraying in 2001 and the change in the extent of coca cultivation between 2001 and 2002. For the following years, aerial spraying had an impact in the total reduction of coca cultivation. The impact became statistically less significant in later years due to heavy replanting.

Manual eradication in Sierra La Macarena National Park.

82 Colombia Coca Survey for 2005

2.5 REPORTED SEIZURE

UNODC was not involved in the collection of data on seizures and destruction of laboratories. However they are reproduced here for information and because they provide interesting indications as to the existence of possible trafficking corridors and allow for a better understanding of the dynamics that surrounds the overall drug business.

According to DNE, a total of 1953 illegal laboratories were destroyed in 2005. Out of these, a total of 1,786 corresponded to laboratories processing coca paste or coca base, 151 to processing cocaine hydrochloride, 16 permanganate of potassium, and 6 of heroin. Compared to 2004, it represented an increase of 5% in the number of illegal laboratories destroyed, demonstrating the high intensity of the actions taken by the Colombian Government against illicit drug production and coca cultivation.

Figure 26. Number of illegal laboratories destroyed and coca cultivation, 1997-2005

180,000 2,500

160,000

140,000 2,000

120,000 1,500 100,000

80,000 1,000 60,000 Coca cultivation in ha in cultivation Coca 40,000 500 destroyed laboratories Illegal 20,000

- - 1997 1998 1999 2000 2001 2002 2003 2004 2005 Coca Cultiation in ha 79,500 102,000 160,119 163,289 144,807 102,071 86,000 80,000 86,000 Illegal laboratories destroyed 392 323 317 647 1,574 1,448 1,489 1,865 1,953

Coca Cultiation in ha Illegal laboratories destroyed Source: Drug Observatory, DNE

Illegal laboratory (photo DIRAN)

83 Colombia Coca Survey for 2005

The distribution by department of the number of illegal laboratories destroyed and which were processing derivatives of coca leaves (coca paste/base and cocaine hydrochloride), also highlighted the department of Nariño as the most important illicit drug production centre in Colombia, as was the case in 2004. In the department of Guaviare, which accounts for 10% of the total coca cultivation, the number of coca paste/base laboratories destroyed increased from 4 in 2004 to 131 in 2005.

Table 49: Illegal laboratories destroyed and coca cultivation in 2005

Permanganate of Coca paste or Cocaine Heroin potassium Department base laboratories Laboratories laboratories laboratories destroyed destroyed destroyed destroyed Nariño 388 41 6 6 Antioquia 303 11 0 4 Magdalena 170 10 0 0 Guaviare 131 4 0 0 Putumayo 125 4 0 0 Cauca 110 11 0 2 Caqueta 90 1 0 0 Meta 65 2 0 1 Valle 54 14 0 0 N. Santander 53 8 0 0 Santander 51 11 0 2 Bolivar 41 2 0 0 Vichada 37 0 0 0 Cordoba 36 1 0 0 Choco 27 0 0 0 Cundinamarca 27 6 0 0 Boyaca 26 4 0 0 Arauca 15 4 0 0 La Guajira 15 2 0 0 Amazonas 13 0 0 0 Caldas 6 6 0 0 Bogota 1 0 0 0 Huila 1 0 0 0 Tolima 1 0 0 1 Cesar 0 9 0 0 Total 1786 151 6 16 Source: DNE

Colombia Coca Survey for 2005

The data reported by DNE also showed an increase of 16% in cocaine seizure, from 149 metric tons in 2004 to 173 metric tons in 2005.

Table 50: Reported seizures of illicit drugs

Drug unit 2000 2001 2002 2003 2004 2005 Coca seeds kg 1,678 98,916 27,752 173,141 301,444 Coca leaf kg 897,911 583,165 638,000 688,691 567,638 682,010 Coca paste kg 118 53 974 2,368 1,218 2,651 Coca base kg 9,771 16,572 22,615 27,103 37,046 106,491 Basuco kg 802 1,225 1,706 2,988 2,321 19,607 Cocaine hydrochloride kg 89,856 57,140 95,278 113,142 149,297 173,265 Opium seed kg 17 43 124 87 11 Opium latex kg 17 4 110 27 57 1,632 Morphine kg 91 47 21 78 39 93 Heroin kg 564 788 775 629 763 745 Raw cannabis kg 75,465 86,610 76,998 108,942 151,163 150,795 Cannabis resin kg na 0 3,5 Cannabis seeds kg 121,350 11,310 510 24 Synthetic drugs unit na 22,750 175,382 5,042 19,494 Source: Drug Observatory, DNE

Out of the 173 metric tons of cocaine seized in 2005, 96 metric tons or 56% were seized by the Colombian Navy on sea or in seaports. This suggests that most of the shipment of cocaine seizure took place by sea. The Pacific route continued to be the most important route for trafficking (63% of the maritime seizure in 2005).

Table 51: Reported seizures of cocaine in the Pacific and Atlantic routes, 2002 – 2005

2002 2003 2004 2005 Pacific 43,435 47,137 46,128 61,042 Atlantic 16,065 23,157 30,928 35,856 Total seized by 59,500 70,294 77,056 96,898 sea Total seizures 95,278 113,142 149,297 173,265 % of seizures 62% 62% 52% 56% seized on sea Source: Colombian Navy, Intelligence Division

Figure 27. Reported seizures of cocaine in the Pacific and Atlantic routes, 2002 - 2005

70,000

60,000

50,000

40,000 kg 30,000 61,042 47,137

20,000 46,128 43,435 35,856 10,000 30,928 23,157 16,065 - 2002 2003 2004 2005

Pacific Atlantic

86 Drug seizures by department and by drug type, Colombia 2005

75°W 70°W 75°W 70°W

Caribbean Sea La Guajira Caribbean Sea La Guajira

Atlántico

31000 Cesar Bolívar 10°N 10°N 10°N Magdalena 10°N Magdalena Sucre Sucre Cesar Bolívar VENEZUELA PA VENEZUELA

P N 19000 AN A A M M A A Córdoba Córdoba Norte de Norte de Santander Santander Chocó Chocó 41600

80000 Arauca Arauca Santander Santander Antioquia Antioquia Casanare Boyacá Caldas Casanare Caldas Boyacá Cundinamarca Vichada Vichada 5°N 5°N 5°N Pac5°N ific Pacific Quindío 26500 Ocean Meta Ocean Meta Valle Tolima Valle 37700

Tolima Guainía Cauca Guainía Huila Cauca Guaviare Huila Guaviare

100000 33800 254000Nariño Nariño 17700 Vaupés 38000 Caquetá Putumayo Caquetá Vaupés 0° 0° 0° 0° Putumayo Amazonas

ECUADOR Amazonas ECUADOR

Reported coca base and cocaine BRAZIL BRAZIL Reported coca leaf seizure seizures in 2005 by department in 2005 by departmentPERU PERU 20,000 kg

130,000 kg Cocaine base Cocaine 20,000 kg 20,000 kg Coca cultivation 200575°W 70°W Coca cultivation 200575°W 70°W 5°S 5°S 5°S 5°S

75°W 70°W 75°W 70°W

Caribbean Sea Caribbean Sea La Guajira

La Guajira Magdalena Atlántico Cesar Cesar 10°N 10°N 10°N 10°N Magdalena Sucre P VENEZUELA P VENEZUELA AN AN A Sucre A M M A Córdoba Bolívar A Bolívar Córdoba Norte de Norte de Santander Santander Antioquia Santander Arauca 73 13201 Arauca Santander Chocó Chocó Antioquia Casanare Cundinamarca Caldas Boyacá Caldas Boyacá Casanare 5°N 5°N 5°N Vichada 5°N Pacific 482 Pacific 11492 Ocean Valle Ocean Valle Meta Vichada Tol i ma Tolima Meta 41900 98 Guainía Huila Cauca Guainía

33197 Nariño Guaviare Huila Guaviare

Nariño Putumayo Putumayo Caquetá Vaupés Vaupés Caquetá 0° 0° 0° 0°

ECUADOR Amazonas ECUADOR Amazonas

BRAZIL BRAZIL Reported heroin seizure in 2005 by department PERU Reported cannabis seizurePERU Reported cannabis seizure in 2005 by department in 2004 by department 100 kg 20,000 kg Possible opium poppy 20,000 kg 20,000 kg growing area 75°W 70°W 75°W 70°W 5°S 5°S 5°S 5°S

Source: Government of Colombia - National monitoring system supported by UNODC, for drug seizures: Colombia Drug Observatory DNE. The boundaries and names shown and the designations used in this map do not imply official endorsement or acceptance by the United Nations Colombia Coca Survey for 2005

Table 52: Reported seizure of illicit drugs in 2005 Cocaine Coca leaf Cocaine base Basuco Cocaine Heroin Latex Cannabis Department paste Kg Galon Kg Galon Kg Galon Kg Kg Galon Kg Kg Galon Kg Amazonas 715 37 46 1 56 11 Antioquia 75,183 550 579 13,5495,883 1,070 10,533 2,989 53 8 13,157 Arauca 505 344 356 3 118 50 9 Atlantico 37 17 8,767 13 1,344 Bogota 11 1 81 3,701 22 Bolivar 9,670 575 474 576 530 17 19,309 2,585 28 2,305 Boyaca 4,292 275 1,074 665 6 771 100 0 54 Caldas 206 64 165 60 570 128 1 1,235 Caqueta 8,381 220 84 17,663 715 2 1,289 660 18 26 Casanare 0 2 2 13 Cauca 49,790 4,738 6 684 2,707 62 5,126 3,913 1 33 33,197 Cesar 29 4 1,313 12 261 Choco 111 42 60 258 187 4 541 7,114 Cordoba 13,759 320 2,375 6,026 33 2,147 1,885 418 Cundinamarca 4,866 690 55 270 475 376 8,300 56 482 0 15 11,470 Guainia 20 49 5 Guaviare 100,017 2,595 75 25 3,965 2,515 0 1,411 171 15 Huila 3,777 3 4,382 605 133 349 La Guajira 4,380 467 6 37 2,210 1 3,883 Magdalena 31,056 5,161 55 11 11,161 14,242 Meta 17,137 1,777 2,870 1,279 48 1,260 875 193 Nariño 253,702 25,943 466 4,814 54,746 16 33,835 1,281 11 54 114 666 Putumayo 37,761 1,430 72 1,065 258 2 108 275 1,565 24 Quindio 33 13 8 1 2,290 Risaralda 1,587 130 27 70 9 2,419 San Andres 0 6,268 223 Santander 16,391 1,453 710 40,880 718 13,176 2,350 200 6,811 Sucre 850 9 9 1,346 362 Tolima 484 3,089 5,697 2 3,895 Uraba 5,022 59 0 226 20 44 Valle del 1,900 603 1,063 1,332 827 37,704 165 98 4 41,901 Cauca Vaupes 0 0 Vichada 26,501 6 2,864 70 0 3,727 1 N. de 15,156 285 6 1,226 3,512 8 3,207 1,560 15 2,836 Santander Grand Total 682,010 42,211 2,651 25 106,491 82,200 19,607 173,265 16,893 745 1,632 180 150,795 Source: Drug Observatory, DNE

88 Colombia Coca Survey for 2005

3 METHODOLOGY

3.1 COCA CULTIVATION

The monitoring of coca cultivation in Colombia is based on the interpretation of various types of satellite images. For the 2005 census, the project analyzed a total of 68 LANDSAT images, 6 ASTER and 11 SPOT-4 images, captured between September 2005 and March 2006. The images cover the whole national territory (excluding the islands of San Andres and Providence) equivalent to 1,142,000 square km.

In September 2004, the Institute of Natural Resources and Applied Life Sciences of the University of Natural Resources and Applied Life Sciences, Vienna (Austria), conducted a technical evaluation of the methodology developed for the assessment of coca cultivation. The Institute concluded that the methodology is appropriate and commended the work of the remote sensing team performing the interpretation of the satellite images. The Institute also made some recommendations that will be addressed during the next survey, in particular the use of aerial photography for quality control.

The project staff is working in the development of a decision tree for the interpretation of coca crops in satellite images with the support of the BOKU University. This task follows two steps: the first one is the identification of the different factors that determine the interpretation of the coca fields in a selected test area (Meta-Guaviare). The second step is the design of a model of decision tree with the data obtained in the first step for the development of models in each region.

The estimation of the total area under coca cultivation in Colombia in 2005 is the result of the following steps:

1) Identification and acquisition of satellite images

The survey relied mostly on LandSat 7 ETM+ images and to a lesser extent on ASTER and SPOT- 4 images.

Table 53: Satellite images used for the 2005 survey in Colombia

SENSORS TOTAL AREA (KM²) IN % OF TOTAL LandSat 7 ETM+ 721,803 92.6 ASTER 19,812 2.5 SPOT 4 37,634 4.8 Total 779,249 100

One of the major difficulties in data acquisition is the frequent cloud cover over the Colombian territory. Therefore, satellite with a frequent revisit and a continuous recording of the area were favoured. The relatively low prices of LandSat 7 ETM+ and ASTER images also contributed to their larger selection than SPOT images.

LandSat 7 ETM+ data are collected in 6 spectral bands of 30 meter spatial resolution and an additional panchromatic band of 15 meter spatial resolution. The satellite has a 16-day repeat cycle, which enhances the chance for cloud free images. The swath width of 185 km is appropriate for regional studies. The project identified suitable images by consulting frequently the on-line catalogue of available LandSat 7 images at the US Geological Survey.

As of May 2003, the Scan Line Corrector (SLC) of the LandSat 7 ETM+ instrument failed. This malfunction is leading to gaps in the image, gradually diminishing towards the centre of a scene. The assessment of coca cultivation under these gaps (without information) is described in the below section on correction. For future surveys gap-filled products or LandSat 5 data may be used, if available.

89 Colombia Coca Survey for 2005

ASTER images consist of 14 spectral bands with a spatial resolution ranging from 15 to 90 meters. The monitoring of vegetation covers relies mostly on the spectral bands 1, 2 and 3 with a pixel size of 15 meters. The swath width of 60 Km requires the acquisition of more images than with LandSat 7 ETM+ to cover equivalent area. About 500 ASTER images would be needed to cover the entire country.

SPOT 4 has a spatial resolution of 20 meter and a swath width of 60 km. About 500 SPOT images would be necessary to cover the entire country.

2) Spatial Information Data Base -BIE- (http://200.71.33.136:81/SIMCI/index.html)

The BIE is an infrastructure of spatial data that aims to guarantee the knowledge and access of anyone to the spatial information gathered by SIMCI, framed into the recommendations of the United Nations Seventh Regional Cartographic Conference for the Americas, held in New York in September 1999.

The BIE is divided into five sections: Satellite Data, Thematic Cartography, Altimetry Cartography, Illicit Crops Spatial Data and Documents. It may be consulted at the web page of UNODC Colombia shown in the last page of this report. Homepage of the BIE on-line catalogue

Screen shot of BIE catalogue metadata available on UNODC Web page

90 Satellite images used for the Colombian coca cultivation survey 2005

75°W 70°W

Colombia

Caribbean Sea La Guajira

100106 South America 311005

210106 Atlántico Magdalena

Cesar 10°N

R 10°N

M a g d al Sucre ena P VENEZUELA A 160206 N Córdoba 181205 A 150306 M 270705 A 131005 Bolívar 271205

Norte de Santander

131005 200206 251105 071105 060206

060206

c Antioquia Arauca

o u

t 271205

r a

t C A

o í R rauca í ío A

R Santander R o Chocó oc in 270905 071105 190106 r O

Boyacá o

Casanare a R t e Vichada Caldas M 291205 ío R 5°N 5°N Risaralda Cundinamarca Pacific 100106 Quindío chada o Vi 010905 Ocean 270905 Rí 291205 Valle Tol ima viare Meta 271205 301105 Gua Río 09070 5 160206 301105 271205 Huila 081005 301105 040905 180206 a 031005 n 160206 da le íri a 301105 In d 291205 ío Cauca g 120106 a 021205 301105 R M 301105 060206 Guainía o í 160206 R 231105 40905 Guaviare 021205 231105 120106 291205 231105 180206 060206 Nariño 111205 091205 231105 Caquetá Vaupés 280805 Putumayo 0° 120106 011005 0° Río Caqu etá BRAZIL

R ío P u tum 220905 ECUADOR a yo Amazonas 011005

011005

Satellite types PERU Aster LandSat

SPOT Rí o Am az on as ddmmyy Acquisition date

Coca cultivation 2005 0150 300 km International boundaries Geographic coordinates WGS 84 5°S Department boundaries 75°W 70°W 5°S

3) Image pre-processing

Geo-referencing

In order to use image datasets in conjunction with other spatial data available (e.g. digital elevation model), it is necessary to align the image data to the same map coordinate system. The satellite images are geo-referenced on the basis of mosaics built with geo-referenced images with the less cloud coverage used in previous census and the Digital Terrain Model –DTM- from the Space Shuttle Radar Mission of USA. During its revision of the methodology, the Institute of Natural Resources and Applied Life Sciences of the BOKU University of Vienna (Austria) recommended to ortho-rectify the images with detailed Digital Elevation Model to increase the geometric accuracy. .

Radiometric and spatial enhancements

To improve the visual and supervised interpretation process, various radiometric enhancements and filter techniques are applied to enhance the contrast of the image.

Figure 28. Example of radiometric enhancement

To enhance the spatial characteristics of an image various filters that modified the value of a pixel using the values of surrounding pixels, were used.

Figure 29. Example of spatial enhancement

92 Colombia Coca Survey for 2005

Band combinations

To allow an easy interpretation of the displayed image, it is possible to assign which band is displayed with which colour.

4) Digital land cover classification of land use and vegetation

One of the difficulties for an automatic or supervised classification of vegetation in Colombia is the absence of well defined crop calendar. Most crops, including coca, are cultivated throughout the year. This makes it difficult to separate coca from other crops based on phenological differences. The automatic land cover classification is not used to detect coca cultivation, but rather to study broadly the various land cover present on an image. That study helps to identify the areas where coca cultivation can be interpreted visually later on (Chuvieco, Basic Principles of Spatial Teledetection, 1990).

The project performed a supervised classification, where training areas represent the features to be mapped in advance and class signatures are calculated. Each pixel is then assigned to a land cover class depending on an algorithm. In this case, based on the maximum likelihood algorithm, 18 land cover classes are classified within each image: primary forest and rainforest, secondary forest and shrubs, grassland and shrubs, water bodies, sand banks, clouds and shadows, roads, urban and populated areas, inundated areas, rock outcrops, bare soils, crops, other.

Figure 30. ASTER image and corresponding land cover classification

5) Visual interpretation of the coca fields

The classification of coca fields relies on the visual interpretation of satellite images. The detection is based on the spectral characteristics, the patterns and the surroundings of the fields. The class ‘coca’ can be considered to be composed of bare soils and small rows of bushes (see figure 31). No distinction is made between the different phenological stages of coca bushes.

The interpreter verifies the coca crops based on spectral characteristics, texture, shape, size of the fields and contextual information, like information from previous surveys and geographic information on spraying. The result of training is a set of signatures. Each signature corresponds to a class and is used with a decision rule to assign the pixels to a class.

Coca fields are digitized on screen with the help of semi-automatic software tools (e.g. pixel seeding). Small polygons of less than 0.25 hectares (2 or 3 LandSat 7 pixels) are deleted because the interpretation is not enough reliable due to the coarse spatial resolution of the sensor.

93 Colombia Coca Survey for 2005

Coca fields detected during a verification flight

Figure 31. Picture of coca fields and corresponding interpretation on the satellite image

94 Study area distributed by region and coca cultivation in Colombia, 2005

75°W 70°W

Colombia Caribbean Sea La Guajira

South America Barranquilla SIERRA Atlántico Cartagena NEVADA Magdalena Cesar 10°N

R 10°N

M a gd al ena PA VENEZUELA N Sucre A M A Córdoba CATATUMBO Bolívar Norte de Santander Cucutá

CHOCO Arauca

ANTIOQUIA ARAUCA

c SUR DE BOLIVAR Arauca o u

t Santander

a Puerto

r a

t C A

o Carreño

o í R auca í ío Ar R R Medellín o Chocó oc in Antioquia Vichada r O

o Caldas í

Boyacá R Casanare a t e CUNDINAMARCA M ío CALDAS BOYACA R 5°N 5°N Pacific Risaralda Cundinamarca Quindío ^ Bogotá Ocean ada Vich Río Valle Tol ima VICHADA viare GUAINIA Meta Gua Río VAUPES Cali Huila a

n le Neiva a d da Cauca g íri a San José In ío M R o Popayán í CAUCA R Tumaco NARIÑO VALLE Florencia GUAVIARE META Guainía

Nariño Guaviare Mitú Pasto PUTUMAYO CAQUETA Caquetá Putumayo

0° Vaupés 0° Río Caqu etá BRAZIL

R ío P u tum AMAZONAS ECUADOR a yo Amazonas

Areas of interpretation PERU Coca cultivation 2005 Study areas for the R Am í o az annual survey on as Boundaries of IGAC 0300150 1:100.000 sheets km Leticia Geographic coordinates WGS 84 International boundaries Department boundaries 5°S 75°W 70°W 5°S

Sources: for coca cultivation Government of Colombia - National monitoring system supported by UNODC; for boundaries of 1:100.000 sheets IGAC The boundaries and names shown and the designations used in this map do not imply official endorsement or acceptance by the United Nations Colombia Coca Survey for 2005

Coca fields are digitized on screen. For this purpose a software tool called ‘pixel seeding’ is used to delineate the fields. This means that pixels are grouped together automatically by the software if their spectral value is similar. The similarity threshold for grouping pixels is determined by the interpreter.

In addition, aerial photos taken by the Antinarcotics police (DIRAN), recording of aerial spraying path and coca polygons interpreted for the census of previous years are also used to facilitate the interpretation, as well as the information supplied by different government and UN agencies.

The interpretation process relies on the profound knowledge of the area by the interpreter. This knowledge is gained through many years of experience analysing satellite images and frequent over-flights. Interpreters have several years of experience with the project.

Visually interpreted coca fields (in green contour) on an ASTER image

6) Verification flights

Verification flights are required for correcting and improving the initial interpretation. The verification is based on direct visual inspection of the ground from a plane. Paper maps are used for orientation and as a data base for verification.

In addition to visual inspection from the aircraft, a video camera and a digital camera combined with GPS was used for documentation. The preliminary interpretation results are edited and corrected with the verification findings.

96 Colombia Coca Survey for 2005

Inside the cockpit during a verification flight

Digital camera mounted with GPS unit

7) Accuracy assessment

The assessment of the accuracy of the interpretation results is part of a quality control. The accuracy assessment has two aspects: a geometric accuracy which is the accuracy of the interpreted boundaries (or size) of land cover units and a thematic accuracy which measures the reliability of the identification of land cover classes.

Currently the images are geo-referenced on the basis of ground control points extracted from the adjusted mosaics build by the project. In this case, for LandSat 7 ETM+ images a maximum positional deviation of the order of 1/10 of elevation difference can occur. During its revision of the methodology, the Institute of Natural Resources and Applied Life Sciences of Vienna (Austria) recommended to ortho-rectify the images with detailed Digital Elevation Model to increase the geometric accuracy to below 1.5 pixels.

Thematic accuracy is usually specified in terms of error matrix, giving frequency (probability) of misclassification between different classes. The compilation of the error matrix must be based on a representative, unbiased sample of reference data. The collection of reference data is difficult as 97 Colombia Coca Survey for 2005 access to the ground is not possible due to security reasons. Reference data have been obtained through the use of high-resolution MDIS images provided by NAS, geo-referenced records of flying paths taken during the spraying actions (DELNORTE) and photographs taken from a portable digital camera on board small aircraft. In 2003, from a sample of 144 reference points, the overall thematic accuracy was estimated at about 89% (number of correctly interpreted polygons over total number of polygons checked). This calculation was not updated, but a similar level of accuracy can be considered for the results of the 2005 survey.

Although the thematic accuracy is a good indicator of the quality of the interpretation, it does not provide for a range of the results, and therefore it cannot be used to correct the results. Following the recommendations of the Institute of Natural Resources and Applied Life Sciences of Vienna (Austria), the project is currently developing an accuracy assessment method relying on aerial photography as surrogate ground data that might provide for such a bias-correction factor.

8) Corrections

Following the interpretation process, a number of corrections are applied to account for the effects of spraying activities before or after image acquisition, for missing image information due to clouds or gaps (SLC-off) and for differences in acquisition date of the images with respect to the census cut of date of 31 December. These corrections are necessary to improve the final statistics.

9) Correction for spraying

As part of the illicit crop eradication program, coca fields are sprayed from aircraft. The spraying lines are automatically recorded. After transforming the coordinates into the coordinate system of the satellite images, a buffer is calculated depending on the type of the plane and the recorded spraying line. The buffer is placed over the coca interpretation. Corrections are then performed depending on the date of image acquisition and on the date of spraying. Coca areas are ignored if they have been identified in images acquired before spraying, except for an estimated survival rate of 10%.

Coca fields are represented in cyan, spraying lines in yellow

98 Colombia Coca Survey for 2005

10) Corrections for cloud cover and gaps in LandSat 7 images (SLC-off)

Clouds and shadows are delineated during the land cover classification process. In a first step, buffers of one kilometre width around the clouds are calculated. The coca cultivation area within this buffer is measured. By comparison with the previous survey, trends for coca cultivation are calculated for the buffer area. This trend is used to estimate recent area under the clouds from corresponding area in the previous survey. Old coca fields under clouds or gaps are preserved in position and size, when trends indicate an increase in the surroundings areas.

In the 2005 survey, the corrections for the gaps of the LandSat 7 scenes were treated like clouds. The only difference is in a buffer of 300 meter instead of 1000 meter for the clouds. The definition of the buffer is based on experience in both cases.

11) Corrections for differences in acquisition dates of images

The satellite image only reflects the cultivation at their acquisition date. A correction factor should be applied to get the estimates at the cut-off date of 31st December. A monthly coca rate of increase or decrease is calculated from the difference in coca cultivation between images acquired over the same area at different dates. This rate is then applied to the initial interpretation for the number of months separating the acquisition date and the cut off date of 31 December.

Table 54: Corrections applied in 2005

Area (in hectares) % of initial result Initial results 76,053 88.7 Correction for spraying 2,315 2.7 Correction for cloud cover 6,362 7.4 and LandSat 7 gaps (SLC-off) Correction for difference in 1.2 1,020 acquisition dates of images Final results 85,750 100

3.2 OPIUM POPPY CULTIVATION

In August 2004, the project conducted a test for the detection and measurement of opium poppy fields from high-resolution satellite imagery over a small area of 121 square km.

Unlike in some Asian countries where most of the illicit opium poppy cultivation takes place, opium poppy cultivation in Colombia does not have a fixed calendar and can be grown throughout the year. This means that at any time, opium poppy fields can be found at various phenological stages. This characteristic prevents the determination of a non-ambiguous spectral signature for opium poppy on a high resolution image. It also complicates the establishment of annual estimates that would require frequent monitoring.

Opium poppy being cultivated on relatively small fields of less than one hectare, their detection requires the use of satellite images of a ground resolution finer than 5 meter. These high-resolution satellites images are available commercially, but their high cost prevents the establishment of a census survey of opium poppy cultivation in Colombia. The total area to be surveyed for opium poppy cultivation in Colombia would amount to 27,000 square km, or the equivalent of 221 high- resolution images of 11x11 km.

Considering these constrains, the project, with the support of the Institute of Natural Resources and Applied Life Sciences of Vienna (Austria), is developing a methodology that would combine the use of high-resolution satellite images on a sample basis, complemented with frequent over- flights for the non-ambiguous identification of opium poppy cultivation.

Up to now, the opium poppy estimates are based on aerial reconnaissance flights by the Antinarcotics Police (DIRAN). These flights were carried out two or three times during the year on 99 Colombia Coca Survey for 2005 a small aircraft. The observer on board recorded the GPS coordinates of observable poppy fields and estimated visually the field area.

3.3 YIELD AND PRODUCTION

This chapter presents an overview of the methodological design of the Coca Yield Survey conducted in 2005 in Colombia. The survey was implemented jointly by the Colombian Narcotic Directorate, DNE and UNODC, and carried out by an agricultural research company (the Agricultural Assessments International Corporation - AAIC). During the survey, samples of coca harvest were weighted from 746 coca parcels selected randomly among 423 coca fields selected randomly, and 1389 coca farmers were interviewed. The methodology was designed by a multidisciplinary team composed of the representatives of the DNE, AAIC and the UNODC Illicit Crop Monitoring Programme through its experts in Colombia and in Vienna. This national survey followed a UNODC’s pilot coca yield survey that took place in October 2004 in 120 fields of three municipalities of Guaviare department, and the interviews of 55 coca farmers.

The survey to assess the coca yield in Colombia is a Multistage Stratified Area Frame Probability Sampling Design. This chapter explains the construction of the sampling frame and its stratification, the determination of the sample size and the sample selection process, the data collection and the estimation process. The objective of the survey was to collect information and data on the coca leaf yield, the general characteristics of coca cultivation practices, as well as the processing by farmers of coca leaf into coca paste. The survey relied on actual harvest samples, face to face interviews and group discussions with farmers.

The survey was implemented over the coca growing areas of Colombia. For the purpose of this survey, the Colombian departments were grouped into 7 regions. The survey took place in May 2005, October 2005, and February 2006 according to the regions. The following table presents the regions and the time they were surveyed:

Table 55: Regions considered for the Coca Leaf Yield Survey

Region Departments Period of survey Putumayo-Caqueta Putumayo, Caqueta May 2005 Catatumbo Norte de Santander May 2005 Sur de Bolivar Bolivar, Antioquia, Cordoba, Boyaca May 2005 Sierra Nevada Magdalena, Guajira October 2005 Pacific Nariño, Cauca, Choco, Valle February 2006 Orinoco Arauca, Vichada February 2006 Meta-Guaviare Meta, Guaviare February 2006

The map on the next page shows the regional grouping, the location of the sampling frame and the sample areas.

For the purpose of this survey, estimates were obtained separately for each region. The seven regional groupings constituted seven sampling domains. The sample size (discussed in details in a section below) within each region was calculated in order to be representative of each region.

100 Sample selection for yield survey by regions, 2005

75°W 70°W

Colombia Caribbean Sea La Guajira

South America Barranquilla N.Santander Sierra Nevada Detail of sample grid in Atlántico Catatumbo region Cartagena Magdalena Sampling grid Bolívar Sample locations Cesar

123 10°N R Cultivation Density 10°N

í o (ha/km²) M

a g d al ena PA N Sucre A Córdoba M A VENEZUELA Norte de Santander Cucutá Catatumbo Chocó Arauca

Antioquia

o u Orinoco

t Arauca a Puerto

r a

t C Sur de Bolivar A

o Carreño

o í R rauca í ío A R Santander R Medellín o oc in r Boyacá O

í Casanare Vichada R a t e Caldas M ío Pacífico R 5°N 5°N Risaralda Cundinamarca Pacific Quindío a Orinoco ichad Ocean Bogotá Río V Tol im a Valle Meta re avia Gu Río Cali

n le Neiva rida a ní Cauca d I g ío a San José R M o Popayán í R Huila Meta - Guaviare Guainía Tumaco Guaviare Florencia Nariño Caquetá Mitú Pasto

Vaupés Puerto Putumayo - Caqueta Asís Putumayo 0° 0° Río Caqu etá

R ío P u tum a y ECUADOR o Amazonas

BRAZIL

Sample locations PERU

Rí o Am az Region Regions on as 0300150 Leticia Coca cultivation 2005 km Geographic coordinates WGS 84 International boundaries 5°S Department boundaries 5°S 75°W 70°W

Sampling frame

As in any survey, the quality of the data collected from the sample surveys depends to a large extent on the quality of the sampling frame from which the sample is to be selected. The sampling frame for the estimation of the coca leaf yield was constructed according to the principles of the Area Sampling Frame methodology. The basis for the construction of the frame was the coca fields interpreted during 2003 census for Putumayo-Caqueta, Catatumbo, Sur de Bolivar (which were surveyed in May 2004, at a time when the 2004 census was not yet available) and the 2004 census for the remaining regions (Sierra Nevada, Pacific, Orinoco, Meta-Guaviare). The frame was limited to areas where coca fields could be found. Within that limit, the frame was divided in a collection of one sq km grids.

The table below shows the number of grids constituting the sampling frame, the number of coca fields within each region, and the area under coca cultivation in each region.

Table 56: Sampling frame for the Coca Leaf Yield Survey

Number of 1 sq Number of Coca cultivation Region km grid coca fields (hectares)10 Putumayo-Caqueta 6,268 10,569 10,886 Catatumbo 2,353 6,518 3,055 Sur de Bolivar 3,966 7,119 10,106 Sierra Nevada 462 1,239 1,262 Pacific 13,442 10,765 15,420 Orinoco 5,751 3,033 6,244 Meta-Guaviare 24,428 16,174 28,509 All Regions 56,670 55,417 75,482

Stratification

Most surveys estimating crop production are based on stratified multistage cluster designs. Stratification divides the units in the population into mutually exclusive and collectively exhaustive subgroups or strata. Separate samples are then independently selected from each stratum. The main purpose of stratification is to improve the precision of the survey estimates. Therefore, the construction of the strata should be such that units in the same stratum are as homogeneous as possible and units in different strata area as heterogeneous as possible with respect to one or more characteristics of interest to the survey.

Based on agricultural literature, experience and field knowledge, but also the mere availability of data at the national level, the agricultural and ecological variables that have been considered for stratification are: the climate, the slope and the altitude. These three variables were combined and used as the basis for the stratification of the sampling frame.

The information for these three characteristics was obtained from digital maps: The climate map, the slope map and the altitude map.

10 Areas used for extrapolation of the samples to calculate yields per region. 102 Colombia Coca Survey for 2005

Graph: overlaying climate, slope and altitude maps Climate Slope

Altitude Resulting classification

Display of variables considered in the stratification of the sampling frame

The maps featuring these three characteristics were overlaid to produce a total of 69 different classes over the entire collection of grids. This number of classes was considered too large to be used as the basis for stratification. Indeed, if on the one hand the gain obtained from the stratification is to reduce the variance as the number of strata increased, on the other hand, the constraint of the sample size within each strata (in theory a minimum of two sample elements by stratum in order to be able to calculate their variance) calls for a limited number of strata in order to facilitate the implementation of the survey and reduce its cost. Therefore, it was decided to simplify the initial classification map and reduced it to fifteen basic strata.

Sub-Stratification.

Not all fifteen basic strata were present in each domain with coca cultivation. Furthermore, in order to improve the sample efficiency and to take advantage of the geographic similarities, some strata were combined with others. However, the original classifications were always retained while performing the sample selection process to ensure a suitable representation of the entire stratum.

Implicit Stratification.

Within each explicit stratum, a technique known as implicit stratification is often used in selecting the Primary Sample Units (PSU’s). Prior to the sample selection, all PSU’s in an explicit stratum are sorted with respect to one or more variables that are known to have a high correlation with the variable of interest. In this survey, the area under coca cultivation, available for every PSU in the stratum has been used. A systematic sample of PSU’s is then selected controlled by the area 103 Colombia Coca Survey for 2005 under coca cultivation of the sub-strata. Implicit stratification guarantees that the sample of PSU’s will be spread across the categories of the stratification variables, and thus optimized the sample selection.

Sample Size and sampling allocation

The sample size was decided taking into account the desired precision of the estimates, the constraint of verification of all steps of the survey, the necessity to obtain estimates at the regional level, and, last but not least, the financial resources available.

The precision of an estimate is measured by its standard error. The degree of precision required for the coca yield was set at about +/- 10% of the true value with a 95 per cent probability that it contains the true value.

A thorough verification process at every steps of the implementation of the survey guarantees the quality of the data collected and the confidence of the estimates generated. That is why it is important to keep the sample size to a reasonable limit so that adequate verification can be done within the budget limits.

Another aspect to be considered at the time of the sample size determination is that the sample has to be representative for each regional grouping.

The financial resources available were the ultimate constraints dictating a limit of 746 different parcels from 423 fields to be studied over seven regions of Colombia.

Sample allocations were determined by averaging the results obtained from the methods described below. According to statistical literature, this is a satisfactory compromise (Cochran, 1977)

1 Proportional allocation based on the total area under coca cultivation by region; 2 Equal distribution of the total sample among the seven regions; 3 Coca fields square root. The method that distributes the sample proportional to the square root of the number of coca fields has also been considered; 4 Optimum allocation. The optimum allocation, which distributes the sample proportionally to the product of the coca area standard deviation by the number of the fields, was also studied.

The following table shows the resulting final allocation of the sample by region.

Table 57: Sample allocation by region

Number of Number of coca Number of Region grids selected fields selected parcels selected Sur de Bolivar 55 55 55 Sierra Nevada 45 45 90 Meta-Guaviare 103 103 206 Putumayo-Caqueta 40 40 80 Orinoco 50 50 100 Catatumbo 45 45 45 Pacific 85 85 170 All regions 423 423 746

104 Colombia Coca Survey for 2005

Sampling selection

The sampling approach used to estimate the coca leaf production in Colombia relied on a Multistage Stratified Area Frame Probability Sampling Design.

It is “Stratified” because the samples were draw from the stratified sampling frame. Within each region, independent samples were drawn for each stratum.

It is “Multistage” because a three-stage sampling process was used. The Primary Sampling Units are the one-sq-km grids containing at least one coca field from the 2004 census. The coca fields contained within each grid constitute the Secondary Sampling units. The Third Sampling units are the collection of rectangles or trapezoids of about 5 sq meters randomly selected within the chosen fields.

It is “Probabilistic” because each possible sample of grids, each possible sample of coca fields and each possible coca parcel has a known probability of selection greater than zero. The selection probability of the grid (the Primary Sampling Unites) is proportional to the extent of coca area under cultivation within the grid. Furthermore, the selection probabilities of the coca fields (the Secondary Sampling Units) were proportional to the size of the coca fields.

Selection of the Primary Sampling Units –PSU-

The Primary Sampling Units (PSU’s), or one-sq-km grids, were systematically selected using a Probability Proportional to Size (PPS) approach. PPS sampling is a technique that employs auxiliary data to increase the precision of survey estimates. In this survey, the auxiliary data was the size of the area under coca cultivation in each grid. PPS sampling yields unequal probabilities of selection for PSU’s, based on the area under cultivation in the grid. In other words, the grids with the largest area of coca cultivation are more likely to be selected than the grids with fewer amount of coca cultivation.

The grids were systematically selected in order to ensure the geographical distribution of the sample through the region. Practically, for each region, the grids were ordered from West to East and then North to South. The first grid was randomly selected, and subsequent grids were chosen at systematic intervals, thus ensuring that the sample is not concentrated in an area of the region.

Selection of the Secondary Sampling Units –SSU-

For each grid included in the first stage sampling, only one coca field, or Secondary Sampling Unit (SSU), was then selected. The field was selected based on the location of the fields according to the survey census. Within a grid, the selection probabilities of the coca fields were proportional to the size of the coca fields. In other words, the largest fields had a higher probability of being selected than the smaller fields.

In addition, only coca fields being harvested at the time of the visit of the surveyors were considered within the selection process. This ensured that immature coca fields were not selected. Harvesting of immature coca fields would have lead to an under-estimate of the yield, as the coca leaves gained weight until the day of harvest.

Selection of the Third Sampling Units –TSU-

The parcels were selected by relying on random numbers and the selection followed the instructions laid down in the Guidelines for Yield Assessment of Opium Gum and Coca Leaf, UNODC. Depending on whether coca plants are grown in parallel rows or diverging rows, the plot they occupied was rectangular or trapezoid. Once the sample area of the parcel has been measure, the leaves are harvested from them in the same way that they are harvested from the whole field. The fresh weight of all the leaves from the sample is determined.

105 Colombia Coca Survey for 2005 200 paces 120 mts

Sampled parcels in parallel rows Sampled parcels in diverging rows

In the regions of Putumayo-Caqueta, Catatumbo and Sur de Bolivar, only one parcel of 5 sq meters was randomly selected. However, in order to reduce the bias due to the uncertainty about the exact boundaries of the parcel, it was decided in Sierra Nevada to double the number of Third Sampling Units and increase the area from 5 to 7 sq meters.

In order to minimize the bias due to factors such as non-response, not found, non-accessible, not- ready-for-harvesting, and already- sprayed, each grid of the initial sample was accompanied by two alternative grids. The alternative grids were randomly selected using the same criteria as the initial grid.

It was necessary to replace 47 grids out of 423 initially selected. Of the 47 replaced grids, 12 were in Putumayo-Caqueta (out of a sample of 80 grids), 9 were in the region of Catatumbo (out of a sample of 45 grids), and 17 were in Sur de Bolivarthe central region (out of a sample of 55) and 9 in Sierra Nevada (out of a sample of 45).

106 Colombia Coca Survey for 2005

Sampling weights

1.VariableEstimationby Stratum nn n n Sampling weights are always needed to hhy hyyαα h ˆˆ11hα 1hf 1 hf YY==¦¦α = ¦ = ¦, compensate for unequal probabilities of hhαα==11 α = 1 α = 1 nnpnppnphhhhhhfhhfαααα12 selection. The weights are used in the where : estimation of the total population values, and in ˆ =−= Yh VariableEstimationattheh thstratum( h 1,2,3,..., H ); the calculation of standard errors. H=− Number of Stratainther thregion; = − nFh irst stagesamplesizeof PSU'( s Grids ) intheh thstratum ; The sampling approach used to estimate the yyαα ˆ ==hf hf Yhα average coca leaf yield by the actual harvest pp12hhfhfαα p α =−=−αα test was a multistage stratified area probability Variableestimationatthe th PSU(1,2,3,...,) nh atthe h thstratum ; =−α sampling design. Sample selection was carried yhα Samplevalueatthe th PSU; =− out within strata. The units selected at the first yhfα Samplevalueatthe f thcoca field(); SSU stage with PPS, know in the survey literature as AC ACαα AC ==hα hf = hf ppphfααα12 h hf Primary Sampling Units or PSU’s (grids), were AChh ACα AC h constructed on the basis of complete =−−Selection probability of the f thcoca field attheα thPSU enumeration of areas identified in the coca of theh− thstratum; YAC bush census. The units selected at the second ==hhαα =α − p1hα First stageselection probability atthe th PSU stage with PPS within each selected PSU are YAChh referred to as Secondary Sampling Units or of theh− thstratum; = α −− YThα otalvar iable populationatthe thPSU of the h thstratum ; SSU’s (fields), and units selected randomly at A h the third stage are referred to as the Third Y==¦ Yα Totalvar iable populationattheh − thstratum (α = 1,2,3, ..., A ); hhα=1 h Sampling Units or TSU’s (parcels). =− Ah Number of PSU'; sinthe populationof theh thstratum = α −− − AChα Areaunder cocacultivationatthe th PSU of theh thstratuminthet th year; =−− In the case of multistage designs, the base ACh Areaunder cocacultivationof the h thstratuminthet th year; weights reflect the probability of selection at yACαα ==hf hf = − p2hfα Second stageselection probabilitiesatthe f th field each stage. In general, the base weight of a YAChhαα sampled unit is the reciprocal of its probability of the_;α −− thPSU attheh thstratum =−α of selection for inclusion in the sample. AChfα Areaunder cocacultivationatthe f th field of the_ th PSU attheh−− thstratumin thet th year. Under this scheme of sampling with PPS of 2.VariableEstimationby Re gion Hr ˆˆ= sampling units, the coca leaf yield estimation at YYr ¦ , h=1 h the h-th stratum is calculated as the simple where : arithmetic mean of all the actual harvested ˆ =−= Yr Variableestimationof ther thregion(1,2,3,...,); h Hr = − parcels within the stratum. Therefore, in order HNumberofstrr atainther thregion. to calculate the leaf yield for a region, the 3.Adjustment of VariableEstimationof the Field ( whereactual harvest simple arithmetic means in the strata should be or crop− cutting was performed) by Stratum weighted by their area under coca cultivation. ˆ Yh nnnsimciY t n hhhYˆ yyααYYh ˆˆˆ1111r hfsimci t hf simci t YYY====¦¦¦αα¦ , A hhhnnnnαααα====111ˆˆˆ1 A1 Determining the area of the parcel to be harvested 1 hhhhYphhfαα Yprr hf Y donde : Yˆ = Adjustment ofvar iableestimationof the field ( whereactual harvest A1 h or crop−− cutting was performed); attheh thstratum =− simciY t Areaunder cocacultivationaccordingto SIMCI censusinthet th year; Yˆ = Adjustment ofvar iableestimationof the field ( whereactual harvest A1 hα or crop−−− cutting was performed); attheα th PSU intheh thstratum 4.Adjustment of VariableEstimationof theField ( whereactual harvest or crop− cutting was performed) byRe gion Hr ˆˆ= YYr ¦ , AA11h=1 h donde : ˆ = Yr Adjustment ofvar iableestimationof the field ( whereactual harvest A1 or crop−− cutting was performed). atther thregion

The formulas shown in the right text boxes in the following three pages were used in the process of estimation of the aggregated values for the different variables investigated in this survey

107 Colombia Coca Survey for 2005

Harvesting the coca leaves

5. Adjustment of Variable Estimationof the Field (where actual harvest or crop− cutting was performed)Re for all the gions R YYˆˆ= , AT¦ Ar 11r =1 donde : Yˆ = Adjustment ofvar iableestimationof the field ( where actual harvest AT 1 or crop− cutting was performed) for all the Re gions ( r= 1,2,3,..., R ); R= Number of regions.

6.Adjustment of Variable Estimationof theCAF ' sClustersby Stratum

Uc y ¦ hcuα u=1 nnhhnnhh ˆ 111simciYtc m simciY thc y α simciYt ˆˆ1 Y ===YYαα, Ah2 ¦¦ˆˆ¦¦ˆ hc A2 h npnphhfhhfαα==11YYrrααnnhhαα==11Yr Weight of the fresh leaves from the sample. donde : Yˆ =− Adjustment ofvar iableestimationof theCAF ' s clusters of the h th stratum ; Ah2

Uc y ¦ hcuα ==u=1 − yhcα Variable mean at the c thCAF'; s cluster mc =− mc Number of CAF'' s at thec thCAF s cluster; ˆ Yα = Adjustment ofvar iableestimationof theCAF ' Ah2 s clusters at theα −− th PSU of the h th stratum.

7.Adjustment of Variable Estimationof CAF ' sClustersby Re gion R YYˆˆ= , AT22¦ Ar r=1 where : Yˆ =− Adjustment ofvar iableestimationof theCAF ' s clusters of the r th Re gion . Ar2

8.Adjustment of Variable Estimationof CAF ' sClusters for all theRe gions R YYˆˆ= , AT22¦ Ar r=1 where : Yˆ = Adjustment ofvar iableestimationof theCAF ' s clusters for all the Re gions . Putumayo-Caqueta, Domain definition and AT2 segmentation. 9.Varianceof the Adjustment for theVariable Estimationof the Field ( where actual harvest or crop− cutting was performed) by Stratum

nh ˆˆ2 ()YYα − 1 ¦ Ah11 Ah var(Yˆ )= α =1 , Ah1 − nnhh1 where : var(Yˆ )= Varianceof the adjustment for the var iableestimationof the Field Ah! ().where actual harvest crop−− cutting was performed at the h th stratum

10.Varianceof the Adjustment for theVariable Estimationof theCAF ' sClustersby Stratum

nh ˆˆ2 ()YYα − 1 ¦ Ah A2 h var(Yˆ )= α =1 , Ah2 − nnhh1 donde : var(Yˆ )= Varianceof the adjustment for the var iableestimationof theCAF ' s cluster Ah2 at the h− th stratum.

11. Varianceof the Adjustment of theVariable Estimationof the Field Collection and identification of grids 1 sq kilometre ()Rewherethe actual harvest or crop− cutting was performed by gion

Hr var(YYˆˆ )= var( ), Fr11¦ Fh h=1 where : var(Yˆ ) = Varianceof the adjustment of thevar iableestimationof the field Fr! ()wherethe actual harvest or crop−− cutting was performed at the r th region

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Coca fields identified during Census 2003 15 Coca Leaf Yield per Hectare(Ha) y = hαfp rhαfp 10000, Ahαfp where : = − − rhαfp Cocaleaf yield (Kg / Ha) at the p th parcel (TSU) of the f th field(SSU) of the α − th grid (PSU) at the h − th stratum; = − − yhαfp Cocaleaf weight (Kg) at the p th parcel (TSU) of the f th field (SSU) of theα − th grid (PSU) of the h − th stratum; = 2 − − Ahαfp Area( m ) of the p th parcel (TSU) of the f th field SSU of theα − th grid (PSU) of the h − th stratum; 10000 = Conversion factor from m2 to Ha.

16 Simple Arithmetic Meanof theCoca Leaf Yield by Stratum

nh m f ¦¦rhαfp = α ==11f rh , nhmα p f donde : = − rh Simplearithmetic meanof the cocaleaf yield (Kg / Ha) at the h th stratum; = − nh Number of PSU' s inthe sampleat the h th stratum; = ma Number of SSU' s per PSU inthesecond stage sample; p = Number of TSU's per SSU inthethird stage sample. Final sampling frame and sample selection. f squares in red are the randomly selected grids 17 Weighted Meanof theCoca Leaf Yield (Kg / Ha)by Re gion

Región Santa Marta H Localización Grillas de Muestreo por Estrato = Rg ¦Whrh , h=1 CONVENCIONES

Gr illas de Muestre o where : Opc ion 1 = − Estr atos Mu estr eo Rg Weighted meanof thecocaleaf yield (Kg / Ha) at the g th region; Estrato1 Estrato13 = − Wh Population weights at the h th stratum.

18 Weighted Mean of the Coca Leaf Yield ( Kg / Ha ) for All the Re gions Dibulla G Guachaca R = W r , Mingueo T ¦ r r # Santa Marta g =1 where : = R T Weighted mean of the coca leaf yield ( Kg / Ha ) for all the regions ; = − W g Population weights at the g th region .

Ciénaga 19 Variance of the Simple Arithmetic Mean of the Coca Leaf Yield by Stratum

n hp (r − r ) 2 ¦ hα fp h = var( r ) = (1 − f ) hp 1 , h h − n hp (n hp 1) where : = var( rh ) Variance of the simple arithmetic mean of the coca leaf yield at the h − th stratum ; = − f h Sampling fraction at the h th stratum Number of fields ( SSU ' s ) in the sample at the h − th stratum 12 Varianceof the Adjustment of theVariable Estimation of the Field = ; Number of fields ( SSU ' S ) in the population at the h − th stratum − (wherethe actual harvest or crop cutting was performed) for All the Re gions = − − n hp Number of actual harvest (crop cutting ) parcels at the h th stratum R var( Yˆ ) = var( Yˆ ), F1 T ¦ F1 r r =1 20 Weighted Variance of the Mean of the Coca Leaf Yield by Re gion where : H G var( R ) = W 2 var( r ), g ¦ h h var( Yˆ ) = Varianceof the adjustment of the variable estimationof the field h =1 F! T var( R ) = Weighted var iance of the mean of the coca leaf yield − g (wherethe actual harvest or crop cutting was performed) for all the regions. at the g − th region . 13 .Varianceof the Adjustment of theVariable Estimationof 21 Weighted Variance of the Mean of the Coca Leaf Yield for All the Re gions theCAF' s Clusters by Re gion R = 2 var( R T ) W g var( R g ), H r ¦ = var( Yˆ ) = var( Yˆ ), r 1 F2 r ¦ F2 h var( R ) = Weighted var iance of the mean of the coca leaf h=1 T where : yield for all the regions . var( Yˆ ) = Varianceof the adjustment of the variableestimationof theCAF' s clusters F2 r at the r − th region.

14 Varianceof the Adjustment of theVariable Estimationof theCAF' s Clusters for all the Re gions R var( Yˆ ) = var( Yˆ ), F2 T ¦ F2 r r =1 where : var( Yˆ ) = Varianceof the adjustment of the variableestimationof theCAF' s clusters F2 T for all the regions.

109 Colombia Coca Survey for 2005

Flowchart of Coca Leaf Yield Survey

3.4 PRICES

Prices of coca leaves and its derivates in the production stage were collected in monthly basis by SIMCI/UNODC through interviews of farmers in all growing regions except Orinoco. This data is complemented with the data collected by PCI in Putumayo, Catatumbo, Córdoba, Boyacá and Antioquia. DIRAN also collect data on prices through intelligence methods for cocaine, coca base and heroin in several cities of the country.

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4 ANNEX

- Corrections by departments (in hectares)

- Satellite images coverage with acquisition date

- Coca cultivation over Indigenous Territories

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Annex: Correction for cloud cover, gaps, aerial spraying and date of imagery in 2005.

Corrections Total Department Interpretation for gaps in for for aerial for date of 2005 satellite clouds spraying imagery images Amazonas 805 3 55 0 34 897 Antioquia 5.458 132442 273 109 6.414 Arauca 1.721 49149 31 -67 1.883 Bolivar 3.321 119235 57 -62 3.670 Boyacá 282 110 49 0 342 Caldas 104 286 49 2 189 Caqueta 4.310 51438 160 29 4.988 Cauca 2.139 23368 28 147 2.705 Chocó 757 11227 9 120 1.025 Córdoba 2.302 93602 52 87 3.136 Cundinamarca 55 1 0 0 0 56 Guainía 676 256 0 18 752 Guajira 248 566 19 0 329 Guaviare 8.361 144273 112 -232 8.658 Magdalena 198 15 0 0 0 213 Meta 16.986 54144 156 -35 17.305 N. de Santander 582 6 173 31 52 844 Nariño 12.304 71176 575 209 13.875 Putumayo 6.749 267669 682 596 8.963 Santander 866 62 25 30 -2 981 Valle del Cauca 23 3 0 2 0 28 Vaupés 540 0146 0 -15 671 Vichada 7.266 0 530 0 30 7.826 TOTAL 76.053 1.9424.420 2.315 1.020 85.750

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Annex: List of satellite images used for the Colombia coca cultivation survey 2005 LandSat 7 ETM+ ASTER PATH ROW Acquisition date (dd/mm/yyyy) LATITUDE LONGITUDE Acquisition date (dd/mm/yyyy) 3 58 12/10/2005 0.60° -74.17° 11/12/2005 3 59 12/10/2005 1.71° -77.35° 23/11/2005 4 56 06/12/2005 2.25° -77.23° 23/11/2005 4 57 01/09/2005 3.08° -72.25° 27/12/2005 4 58 03/10/2005 3.61° -72.13° 27/12/2005 4 60 01/09/2005 6.82° -71.44° 27/12/2005 4 61 01/09/2005 TOTAL 6 4 62 01/09/2005 4 63 01/09/2005 SPOT 4 5 56 29/12/2005 J K Acquisition date (dd/mm/yyyy) 5 57 24/09/2005 - 27/11/2005 - 29/12/2005 5 58 27/11/2005 - 29/12/2005 644 328 21/01/2006 5 59 10/10/2005 - 29/12/2005 647 332 16/02/2006 5 60 29/12/2005 647 343/2 16/02/2006 5 61 29/12/2005 647 344/2 16/02/2006 5 62 29/12/2005 647 345/2 16/02/2006 6 55 01/10/2005 - 06/02/2006 650 343/2 30/11/2005 6 56 06/02/2006 650 344/2 30/11/2005 6 57 06/02/2006 650 345/2 30/11/2005 6 58 06/02/2006 652 343/2 30/11/2005 6 59 01/10/2005 - 06/02/2006 652 344/2 30/11/2005 6 60 01/10/2005 652 345/2 30/11/2005 6 61 01/10/2005 TOTAL 11 6 62 01/10/2005 7 52 06/09/2005 7 54 27/12/2005 7 55 25/11/2005 7 56 27/12/2005 7 57 13/02/2006 7 58 08/10/2005 - 12/01/2006 7 59 12/01/2006 7 60 12/01/2006 7 61 22/09/2005 8 52 31/10/2005 8 53 18/12/2005 8 54 27/07/2005 - 18/12/2005 8 55 20/02/2006 8 56 19/01/2006 - 20/02/2006 8 57 19/01/2006 8 58 02/12/2005 8 59 28/08/2005 - 02/12/2005 8 60 28/08/2005 9 52 19/08/2005 - 10/01/2006 9 53 10/01/2006 9 54 15/03/2006 9 55 07/11/2005 9 56 07/11/2005 9 57 10/01/2006 9 58 04/09/2005 9 59 23/11/2005 9 60 23/11/2005 - 9/12/2005 10 54 13/10/2005 10 55 13/10/2005 10 56 27/09/2005 10 57 27/09/2005 10 58 09/07/2005 - 18/02/2006 10 59 18/02/2006 TOTAL 71 113 Colombia Coca Survey for 2005

Annex: Coca cultivation over Indigenous Territories11 INDIGENOUS TERRITORIES HECTARES IN 2004 HECTARES IN 2005 AFILADOR CAMPO ALEGRE (YARINAL AFILADORES) 4 10 AGUA NEGRA 77 AGUACLARA Y BELLA LUZ DEL RIO AMPARO 0 6 AGUANEGRA 73 AGUAS NEGRAS 44 ALMIDON LA CEIBA 0 12 ALPAMANGA 01 ALTAMIRA 34 2 ALTO ALBI 210 ALTO ORITO 83 ALTO SINU, ESMERALDA CRUZ GRANDE E IWAGADO 6 34 ANDOUE DE ADUCHE 4 9 BACATI-ARARA 354 298 BACHACO BUENAVISTA 27 12 BARRANCO CEIBA Y LAGUNA ARAGUATO 47 10 BARRANCO COLORADO 19 13 BARRANQUILLITA 14 49 BELLA VISTA 23 BELLAVISTA Y UNION PITALITO RIO SIGUIRI SUA-DOCAMPADO 1 1 BUENAVISTA 11 49 CABECERAS O PUERTO PIZARIO 1 1 CAICEDONIA 86 CALARCA 521 CALENTURAS 48 8 CALI-BARRANQUILLA 17 39 CALLE SANTA ROSA RIO SAIJA 24 15 CAÑAVERAL 92 CAÑO JABON 721 CAÑO NEGRO 21 CAÑO OVEJAS (BETANIA- COROCITO) 11 16 CARANACOA YURI-LAGUNA MOROCOTO 0 19 CARPINTERO PALOMAS 35 21 CARRIZAL 03 CECILIA COCHA 23 CHARCO CAIMAN 75 CHIGORODO MEMBA 0 3 CHIGUIRO 19 16 CHINGUIRITO MIRA 46 24 CHOCON 63 69 CIBARIZA 13 18 CONCORDIA 12 21 CONSARA-MECAYA 0 7 COROCORO 312 COROPOYA 12 10 CUASBIL - LA FALDADA 0 9 CUENCA MEDIA Y ALTA DEL RIO INIRIDA 230 160 CUMARAL-GUAMUCO 65 95 DAMASCO VIDES 15 DOMINICO-DONDOBO-APARTADO 1 12 EL CEDRO,LAS PENAS,LA BRAVA,PILVI 115 213 EL GRAN SABALO 12 22 EL HACHA 513 EL PROGRESO 21 EL QUINCE 11 EL TABLERO 01 EL TIGRE 913 EL UNUMA 327 499 GABARRA-CATALAURA 3 1 GRAN ROSARIO 187 284 GUACAMAYAS MAMIYARE 2 14 GUACO BAJO Y GUACO ALTO 10 13 GUELNAMBI-CARAÑO 2 3 HERICHA 02 HONDA RIO GUISA 10 6 INDAZABALETA 281 86 INFI 17 INGA-KASMA DE MOCOA 0 1

11 The limits of indigenous territories were edited in 2005. The 2004 figures correspond to the new limits.

114 Colombia Coca Survey for 2005

INDIGENOUS TERRITORIES HECTARES IN 2004 HECTARES IN 2005 INTEGRADO EL CHARCO 13 19 JAIDEZAVE 02 JIRIJIRI 02 KOGUI-MALAYO ARHUACO 302 164 LA AGUADITA 06 LA ASUNCION 51 LA ESPERANZA 13 LA FLORESTA-SANTA ROSA-RIO SANQUIANGA 7 34 LA FUGA 38 12 LA ITALIA 30 LA LLANURA 28 13 LA SAL 71 6 LA TEËFILA 04 LA TURBIA 736 LA VORAGINE-LA ILUSION 29 18 LA YUQUERA 10 17 LAGARTO COCHA 52 LAGOS DEL DORADO LAGOS DEL PASO Y EL ROMANSO 248 272 LAGUNA NINAL,CUCUY,LOMABAJA 0 29 LOS IGUANITOS 03 MACUARE 12 41 MANDIYACO 02 MONOCHOA 15 6 MOTILON-BARI 25 4 NIÑERAS 12 NUKAK MAKU 18 28 NUNUYA DE VILLAZUL 3 7 PARTE ALTA DEL RIO GUAINIA 16 9 PATIO BONITO 05 PIGUAMBI-PALANGALA 6 1 PORVENIR LA BARRIALOSA 1 9 PREDIO PUTUMAYO 815 1000 PUADO, MATARE, LA LERMA Y TERDO 0 2 PUEBLO NUEVO-LAGUNA COLORADA 3 3 PUERTO ALEGRE Y LA DIVISA 2 11 PUERTO NARANJO-PEÑAS ROJAS-CUERAZO-EL DIAMANTE 2 7 PUERTO NARE 49 53 PUERTO VIEJO Y PUERTO ESPERANZA 13 36 PUERTO ZABALO-LOS MONOS 35 34 PULGANDE CAMPOALEGRE 32 4 QUEBRADA QUERA 0 3 REMANSO CHORRO BOCON 3 3 RIO GARRAPATAS 43 22 RIO GUANGUI 88 RIO PAVASA Y QUEBRADA JELLA 4 4 RIO PUERRICHA 57 RIO SIARE 08 RIOS CATRU Y DUBASA 38 144 RIOS MUCO Y GUARROJO 2 14 RIOS TOMO Y WEBERI 2 6 RIOS TORREIDO Y CHIMANI 3 21 ROQUEROS 21 SAN AGUSTIN-LA FLORESTA 3 3 SAN ISIDRO ALMORZADERO LA UNIËN 3 4 SAN JOAQUIN 01 SAN MATIAS O JAI-DUKAMA 1 4 SAN QUININI 07 SANANDOCITO 11 10 SANTA CRUZ DE PINUÑA BLANCO 7 9 SANTA ROSA DEL GUAMUEZ 3 6 SANTA ROSA SUCUMBIOS EL DIVISO 4 9 SANTA TERESITA DEL TUPARRO 24 31 SARACURE Y RIO CADA 304 484 SELVA MATAVAN 43 99 SELVA VERDE 93 SUANDE GUIGUAY 108 64 TONINA-SEJAL-SAN JOSE-OTROS 11 5 TUCAN DE CAÑO GIRIZA LA PALMA 3 9 TUKANARE 20 VALLES DEL SOL 13 14 VAUPES 424 197 VILLA CATALINA 12 8 VUELTA DEL ALIVIO 2 5

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INDIGENOUS TERRITORIES HECTARES IN 2004 HECTARES IN 2005 YANACONA DE SANTA MARTA 0 1 YARINAL (SAN MARCELINO) 11 45 YAVILLA II 11 42 Z.E. 32 Z.E.D. 04 Total area 5096 5571

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For more information please contact:

UNODC Colombia Calle 102 No. 18-61 Edificio Rodrigo Lara Bonilla Bogotá, Colombia TEL: +57 1 6467000 Fax: +57 1 6556010 www.unodc.org www.unodc.org/colombia [email protected]

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