Summary Report Submitted for HCS Approach Peer Review Process
HCS Study Project Title: Identification of High Carbon Stock PT. PAPUA AGRO LESTARI
Company / Organisation: PT Papua Agro Lestari Contact person: May Caesarry Rachmadini Date: June 21, 2017
TABLE OF CONTENTS
1. Project description ...... 4 1.1 Location and size of study area ...... 4 1.2 Overview of proposed plantation development ...... 5 1.3 Description of surrounding landscape ...... 6 1.4 Map of the site within the region ...... 10 1.5 Relevant data sets available ...... 11 1.6 List of any reports/assessments used in the HCS assessment ...... 11
2. HCS assessment team and timeline ...... 12 2.1 Names and qualifications ...... 12 2.2 Time period for major steps in the study ...... 12
3. Community engagement/ FPIC ...... 13 3.1 Summary of community engagement, FPIC, participatory mapping ...... 13 3.2 Summary of Social Impact Assessment ...... 14
4. High Conservation Value assessment ...... 15 4.1 Summary and link to public summary report ...... 15
5. Environmental Impact Assessment ...... 17 5.1 Summary ...... 17
6. Land cover image analysis ...... 18 6.1 Area of Interest and how it was defined ...... 18 6.2 Description of images used for classification ...... 18 6.3 Sample image ...... 18 6.4 Method of stratification and software used ...... 19 6.5 Map of initial vegetation classes, with legend ...... 19 6.6 Table of total hectares per vegetation class ...... 20 6.7 Summary of which areas are potential HCS forest, subject to further analysis ...... 20
7. Forest inventory results ...... 21 7.1 Inventory sample design and plot rational ...... 21
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7.2 Map indicating plots ...... 21 7.3 Forest inventory team members and roles ...... 22 7.4 Methodology used for forest sampling ...... 23 7.5 Methodology used for carbon calculations ...... 23 7.6 Indicative photos of each vegetation class ...... 23 7.7 Statistical analysis (allometric used, confidence tests, justification) ...... 28 7.8 Summary of statistical analysis of carbon stock results per vegetation class ...... 28 7.9 Forest inventory results ...... 29
8. Land Cover Classification...... 30 8.1 Refined land cover map with title, date, legend and any HCS forest patches identified ...... 30
9. Patch Analysis Result...... 31 9.1 Results of Decision Tree ...... 31 9.2 Comments on Decision Tree outcome...... 32
10. Indicative Land Use Plan ...... 33 10.1 Summary of results of final ground verification (if any) ...... 33 10.2 Final HCS map ...... 33 10.3 Overview of forest conservation management and monitoring activities to be included in the Conservation and Development (land use) Plan ...... 34 10.4 List of activities still to be carried out before Conservation and Development Plan can be finalized ...... 34
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1. Project description 1.1 Location and size of study area
Administratively, PT. Papua Agro Lestari (PT PAL) is located in Kampung Selil, Ulilin District, Merauke Regency, Papua Province (6041’30”SL – 7001’00”SL and 140044’30”NL – 140059’30”NL). The boundaries of PT PAL consist of concession area and natural boundary as follows:
- Northern boundary: Convertible Production Forest (HPK) - Western boundary: PT. Inocin Abadi - Southern boundary: PT. Bio Inti Agrindo Blok II - Eastern Boundary: Fly River
HCS study area of PT PAL is based on Registered Boundary Map of PT PAL Number 011-26.05-2016 dated May 9th, 2016 covering 28,630.46 ha. This area consists of main and plasma plantation, as well as conservation area.
Figure 1. Location map of PT. Papua Agro Lestari
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1.2 Overview of proposed plantation development
The whole area of PT PAL is located in non-forest state area. Land clearing has started at the end of 2015 with a wide area of 358.32 hectares as land preparation for palm oil plantation development. PT. Papua Agro Lestari has obtained a location permit for palm oil plantation through the Decree of Merauke Regent No. 8 year 2007 dated January 16th, 2007 on the Granting of Location Permit covering an area of 39,800 hectares. Then on 14th, April 2007 Decree of Merauke Regent No. 525/1111, was published concerning about Palm Oil Plantation Business Permit (IUP). Afterwards, this is followed by receiving a Decree of Forestry Minister Number: SK. 552 / Menhut-H / 2012 dated October 4th, 2012 on releasing of Convertible Production Forest area for palm oil plantation covering an area of 32,347.40 Ha.
Figure 2. Proposed Palm Oil Plantation Development of PT. Papua Agro Lestari
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1.3 Description of surrounding landscape
- If low, medium, or high forest cover landscape Based on the assignment of Papua Province territory through Decree of Forestry Minister number 782 / Menhut-II / 2012, PT PAL area is located in the Other Uses Area (APL). This area is not located on the Moratorium map (revision 10) which shows the primary forest, conservation and protection forest, and peat land. Based on the spatial plan (RTRW) map, the area of PT PAL is allocated for plantation area.
Figure 3. State forest around the area of PT. Papua Agro Lestari
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Figure 4. Moratorium area (revision 10)
Figure 5. Spatial plan map of Papua
PT PAL is part of Bian Watershed and Fly River Watershed that cover the whole concession area. There is a river flowing through the area of PT PAL, namely Sungai Mandom (20 - 33 meters of wide).
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Figure 6. Watershed area in PT. Papua Agro Lestari
Based on the bio-geographical zone of Papua Island, the plantation area of PT. Dongin Prabhawa enters the ecosystem zone of Southern New Guinea Lowlands Rain Forests or includes the Southwest Lowland Biogeography. The southwest lowland is a form of the Australian Plates fraction that is widening from west to east. This area is the largest lowland wet forest ecosystem in Papua. The endemic species in this zone are the great Cendrawasih (Paradisaea apoda) and mammal species namely Kangaroo (Macropus sp) with low endemic level. This is because the lowland zone has a wide type. In addition, very few natural barriers limit the lowland area in the southwest and the Fly-Purari area in the east.
- Biodiversity features and values According to the HCV identification report in PT.PAL, 107 animal species were found which consist of 10 species of mammal (8 families), 82 species of bird (31 families), and 15 species of reptile (7 families). According to Red list IUCN 2017, several threatened species in PT. PAL were identified as vulnerable category. Those species were Rusa timor (Rusa timorensis), Kanguru hutan (Thyloagale brunii), Kasuari gelambir-ganda (Casuarius casuarius) and Mabruk selatan (Goura scheepmakeri).
Seventy-three species (38 families) of flora were found in the area of PT. PAL. Based on habitus, vegetation composition at PT PAL concession is classified into 5 (five) classes namely herb, liana, palm, shrub, and tree. Tree has higher amount of species than other, there are 61 species or 83,59 %. According to Red List IUCN, there were no finding of threatened species, but based on Government Regulation and Appendix II, there was 1 protected species namely Kantong Semar (Nepenthes mirabilis).
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- Demographic and socio-economic characteristics, including important industries PT. PAL is located in native customary right land of Marind Tribe, Bian Anim sub-tribe, and Marind Tribe, Hinggas sub-tribe. They utilize the forest around Mandom River and Bian River's swamp to fulfill their needs. According to administration boundary, PT PAL is located in the Selil village, Ulillin District, Merauke Regency (Table 1).
Table 1. Characteristic of Indigenous People in PT PAL
Demography No Village Number of Settlement Tribe people Mandobo : Renggam, Warenob, Kenott 1 Selil Native 214 Kimbuop, Gom, Bayup, Nenop, Yetim, Ita, Omba, Genbenop, Warop Marind Sub Suku Hingas: Marga Maikuin Mutumanggi (Candidate 2 Native 71 Marga Koula, Marga Gakuin, Marga Dokuin. Village) Marga Basikuin
- History of forest disturbance in the region, drivers of deforestation PT PAL is surrounded by Production Forest Company, such as PT. Inocin Abadi in the west side and PT Tunas Timber Lestari in the North side. Based on the Indonesian Law, they cut down trees in production forest area. This means that deforestation in this area is planned and agreed by the government.
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1.4 Map of the site within the region
In the landscape level, PT PAL is quite far from Bian Lake Wildlife Reserve, the nearest protected area is approximately 20 km from this concession area and 60 km from Bupul Kumbe Nature Reserve.
Figure 7. Forest area around PT. Papua Agro Lestari
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1.5 Relevant data sets available
In this study, we combined the spatial data, field data, and secondary data (references) as follows:
Table 2. Spatial data used in HCS Study
No. Data Source 1 Concession area of PT PAL Plot/Area Map No. : 011 - 26.05 - 2016 2 Indonesian Based Map (RBI) Geospatial Information Agency 3 Administrative boundary Central Bureau of Statistics 4 Topography SRTM CGIAR 5 Landsat path 100 row 065 USGS – NASA 6 Watershed boundary Ministry of Forestry and Environment 7 Forest state area 8 Moratorium map 9 RTRW (Spatial plan) of Papua Bappeda Papua Province 10 Carbon stock Field measurement Secondary data or scientific report (others related location and land cover) 11 Wood density World Agroforestry Center 12 Communal land boundaries Participatory mapping
1.6 List of any reports/assessments used in the HCS assessment
Reports and documentations used to support HCS study in PT PAL are: 1. Environmental Impact Assessment (published on 2014) 2. High Conservation Value (progress review by HCVRN) 3. Social and Environmental Impact Assessment 4. Land Use Change Analysis
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2. HCS assessment team and timeline 2.1 Names and qualifications
Table 3. Name and Qualification of Team HCS
No Name Qualification Position 1 Arif Prasetyo, S.Hut. Certified HCS Approach practitioner, Biodiversity, Carbon Team Leader stock assessment, Greenhouse Gasses assessment, GIS and Remote sensing 2 Ahmad Faisal Siregar, S.Hut, M.Si Social Member 3 Syueb Abuhanifah S.Hut Social 4 Berry Lira Rafiu, S.Hut Biodiversity, Greenhouse Gasses assessment, Carbon stock 5 Domi Suryadi, S.Hut assessment 6 Dedy Setyadhi 7 Varian Triantomo
2.2 Time period for major steps in the study
These are several studies that related with HCS study in PT PAL.
Table 4. Related studies in PT PAL
No. Activity Period 1 Environmental Impact Assessment 2014 June 2016 – May 2017 Initial Checking by 2 High Conservation Value HCVRN 3 Pre-study of High Carbon Stock and Greenhouse Gases June 2016 4 High carbon stock and greenhouse gases emission study Desember 2016 – June 2017 5 Social and Environmental Impact Assessment (SEIA) May – June 2017 6 Land Use Change Analysis (LUCA) May – June 2017
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3. Community engagement/ FPIC 3.1 Summary of community engagement, FPIC, participatory mapping
PT PAL has involved local community to delineate their own land in their process of developing the palm oil plantation. The result of participatory mapping delivered an agreement over native customary right land in PT PAL where there were eight (8) tribes inside the area of PT. PAL. This agreement is also used as basis of land clearing. The details of agreement are as follows:
➢ Mahuze tribe has 1,636 Ha, according to the statement letter of land rights exemption, date on June 5th 2014; ➢ Maikuin, Koula, Doukuin, Gakuin, and Basikuin tribes have 14,466.4 Ha according to the statement letter of land rights exemption, date on June 5th 2014. ➢ Mahuze Milafo tribe has 7,466 Ha according to the statement letter of land rights exemption, date on June 5th 2014; ➢ Kaize dan Basik-Basik tribes have 3,379 Ha according to the statement letter of land rights exemption, date on June 5th 2014.
Figure 8. Ulayat Map at PT. Papua Agro Lestari
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Community involvement in the palm oil plantation development of PT. PAL, among others: 1. As a daily worker (nursery, land clearing, survey, etc.) 2. As a local contractor (construction)
The company benefit for community, among others: 1. Compensation for ulayat land, 2. Employment availability, 3. Availability of business opportunity, 4. Various social assistances, 5. Village development fund, 6. Plasma plantation program, 7. Health facility/assistance, 8. Food aid, 9. Educational facility for children around the area.
3.2 Summary of Social Impact Assessment
SEIA assessment was conducted at June 2017. Administratively, PT PAL is located at Selil village, but the rights holder of ulayat land is marind tribe. The methodology used in the assessment, was using focus group discussion and interview with each stakeholder and representative of village.
Generally, community perception about the existence of PT PAL in their area is positive. They have several advantage such as, obtain compensation from their land (Ulayat land), job opportunities, increase the community welfare, the social program aid, and they can own palm oil plantation by partnership scheme. There is only small of community that has not received impact from the company existence.
Positive impacts from the company existence that felt by community as a person or group, such as: they can work at PT PAL, become the small contractor company for operational activity at PT PAL, food aid for each tribe, free health facility, educational facility and other social aids. In addition to the positive impacts, there are also negative impacts such as: - Reducing hunting and sago area, but usually they have other hunting and sago area. However, nowadays the consumption level of sago declines. They prefer to consume or buy rice from the town, - Potential pollution on the river due to company's operations. To minimize the impact, company determines the high conservation value on their area and manages it. In addition, company also conducts water quality test routinely and it is reported to Environmental Agency. - The community is not ready to change their life pattern into cultivator, so they can not follow the company ways of working in high discipline, work target and tight time schedule.
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4. High Conservation Value assessment 4.1 Summary and link to public summary report
The HCV public summary report can be viewed publicly (the document can be opened on share point).
Table 5. Summary of HCV identification in PT PAL
Brief description HCV/component Area (Ha) Present Potential Absent There are rare, 8,485.62 HCV 1. Biodiversity threatened, and Concentration of biological diversity in status of protected species of endemic, rare, threatened or endangered species, flora and fauna in which are significant at level of global, regional or riparian, swamp, and national. secondary forest. HCV 2. Ecosystems and mosaics in landscape level The existence of large ecosystems and mosaics in landscape level that are significant at level of global, regional or national, and it contains viable Absent populations from the majority of naturally occurring species in natural pattern of distribution and abundance. HCV 3. Ecosystems and habitats The existence of rare, threatened, endangered Absent ecosystems and habitats.
HCV 4. Ecosystem services There are ecosystem 291.00 Basic ecosystem services in critical situations, services at Riparian
including protection over water catchments and and water spring control of erosion at vulnerable soils and slopes. HCV 5. Community needs The existence of Sites and fundamental resources for satisfying the basic needs of local community or Absent native people (for livelihood, health, nutrition, water, etc), it is identified through the community and native people involvement. HCV 6. Cultural values Found in the old The existence of sites, resources, habitats and village of Mandu landscapes of global or national cultural, archaeological or historical significance, and/or other critical cultural such as ecological, economic or religious/sacred which are important for the traditional cultures of local community or indigenous people, identified through the involvement of local community or indigenous people.
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Figure 9. HCV map of PT. Papua Agro Lestari
Table 6. Description of HCV identification at PT. Papua Agro Lestari
Wide of Area (Ha) No HCVA HCV1 HCV4 HCV6 1 Forest block 1 3.43 2 Forest block 2 1,264.69 3 Forest block 3 187.30 4 Forest block 4 1,607.77 5 Forest block 5 5,422.43 6 Sikivuz river 56.11 7 Bus river 29.97 8 Kukumit river 71.13 9 Mandom creek 1 33.74 10 Mandom creek 2 27.89 11 Mier river 49.93 12 Salam river 9.67 13 Water spring of Katu Pak 12.56 14 Old village of Mandu 1 Total 8,485.62 291.00 1
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5. Environmental Impact Assessment 5.1 Summary
Merauke Regent approved the environmental impact assessment of PT PAL through decree of Merauke Regent Number 836 year 2014 about Environmental Feasibility of PT. Papua Agro Lestari Palm Oil Plantation and Factory. The development of PT PAL palm oil plantation and factory gives important impact to the environment, both positive and negative impact.
The development plan of PT PAL is considered feasible based on the several aspects such as follows: a. Suitable to The Regional Spatial Plan of Papua Province and Merauke Regency. According to the Regional Regulation of Papua Province number 23 year 2013, location of PT PAL is Other Uses Area (APL), furthermore based on The Regional Regulation of Merauke Regency number 14 year 2011, PT PAL is located at plantation area; b. PT PAL is already in line with Indonesian legislation according to the policy in environmental protection, management and natural resources on plantation activity; c. Factory development of PT PAL has not caused disturbance impact on national security; d. Based on Regulation of Environment and Forestry Minister number 5 year 2012, plantation and factory activities of PT PAL are categorized as compulsory to have environmental analysis; e. Result of holistic evaluation on the important impacts as one unity which affect and related to each other, so is known that the positive impact is social aspect and negative impact is physical, chemicle and biological aspect; f. PT PAL is ready and able to overcome positive and negative impacts from their activities; g. Business plan or activities are not disturb the social community values; h. Business plan or activities are not impact or disturb ecological entity; i. Business plan or activities are not disturbing other business plan.
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6. Land cover image analysis 6.1 Area of Interest and how it was defined
Concession area of PT PAL was the focused area of this study. Land cover analysis covered concession area and 2 kilometers of it. This continued until the end of land cover.
6.2 Description of images used for classification
The Landsat Data Continuity Mission (LDCM) was used to generate land cover map in this study. It was acquired on September 22th 2015 on path 100 and row 065 with 0% of cloud cover inside the study area.
6.3 Sample image
Figure 10. Satellite image used by PT. Papua Agro Lestari
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6.4 Method of stratification and software used
In this study, we used object based image analysis using SAGA GIS to produce land cover stratification and Quantum GIS to support spatial data editing.
6.5 Map of initial vegetation classes, with legend
Figure 11. Land cover map of PT. Papua Agro Lestari
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6.6 Table of total hectares per vegetation class
Table 7. Land cover wide area of PT PAL based on shapefile as follows:
Land Cover Wide Area (Ha) Wide Area (%) HCS Potential Class Medium Density Forest 13,967.68 49.49%
Low Density Forest 11,422.81 40.09% Young Regeneration Forest 537.09 1.88% Sub-total 25,927.57 7.69% Non HCS Class
Scrub 362.58 7.16% Open Land 1,987.29 1.27% Mines, smallholder agriculture, plantation, etc. 31.58 90.06% Sub-total 2,381.45 TOTAL 28,309.02 100% Source: Shapefile
6.7 Summary of which areas are potential HCS forest, subject to further analysis
Medium density forest, low density forest and young regeneration forest are candidates of HCS potential forest in this study area. Land clearing has been occurred in 1.27% of concession area, and non-productive area since shrub becomes the dominant land cover of non-forest area.
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7. Forest inventory results 7.1 Inventory sample design and plot rational
Based on this information, the number of needed sampling plot in the inventory was calculated. Total of sampling plot was determined using equation from Dean (2003)1
N=t2s2/E2
Note: N : samples to estimate mean to ± E t : Denote the value of Student’s t corresponding to a probability level (90%) s : Estimation of the population variance E : Maximum allowable error on the estimate
Sample plot distribution was using purposive sampling based on satellite image visualization, land cover, and accessibility.
7.2 Map indicating plots
Figure 12. Sample plot distribution in PT. Papua Agro Lestari
1 Dean JR. 2003. Method for Environmental Trace Analysis. Northumbria University, Newcaslte.UK
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7.3 Forest inventory team members and roles
Table 8. Team member and their role.
No Name Role 1 Berry Lira Rafiu Graduate from Faculty of Forestry – Bogor Agricultural University in 2011. He has studied about carbon stock and climate change since 2008 in Bukit Baka Bukit Raya National Park. He is joined with HCV and HCS team in BIOREF CENTER – Faculty of Forestry with specialization in biodiversity, environmental services, and carbon stock inventory. He also has conducted several studies experiences of High Carbon Stock in the palm oil plantation companies since 2013, such as in First Resources Group, Asian Agri, Agro Harapan Lestari, ANJ Agri Group, BGA Group, BEST Agro Group, OLAM Group, Tri Putra Group, Agrindo Group and AMS Group. In this study, he has a role to do vegetation inventory, carbon stock assessment, and HCS analysis. In detail, he coordinates the activities in the field, ensuring the inventoried trees enter into each plot in accordance with its size, record the dimension of tree, documenting each plot and conducted activities. 2 Varian He is a member of HCS team in BIOREF CENTER – Faculty of Forestry Bogor Agricultural Triantomo, S.Hut University. He is an expert in carbon stock assessment and greenhouse gasses. Graduate from Faculty of Forestry – Bogor Agricultural University in 2005. He has a role in this study to do vegetation inventory and carbon stock inventory. In detail, he coordinates the activities in the field, ensuring the inventoried trees enter into each plot in accordance with its size, record the dimension of tree, documenting each plot and conducted activities. 3 Dedy Setyadhi He is a member of HVS and HCS team in BIOREF CENTER – Faculty of Forestry Bogor Agricultural University. He is an expert assistance in forest ecology, particularly in vegetation inventory. Graduate from Diploma Program – Bogor Agricultural University in 2011. He has many experiences in social and culture study since 2014 in several palm oil plantation, cacao, sugarcane, and agroforestry. He has a role to do vegetation and GHG inventory. In detail, he coordinates the activities in the field, ensuring the inventoried trees enter into each plot in accordance with its size, record the dimension of tree, documenting each plot and conducted activities. 4 Domi Suryadi He is a member of HCV and HCS team in BIOREF CENTER – Faculty of Forestry Bogor Agricultural University. He is an expert assistance in social and culture. Graduate from Faculty of Forestry – Bogor Agricultural University in 2011. He has many experiences in forest inventory since 2010 in several palm oil plantation, cacao, sugarcane, and agroforestry. He has a role to do vegetation and GHG inventory. In detail, he coordinates the activities in the field, ensuring the inventoried trees enter into each plot in accordance with its size, record the dimension of tree, documenting each plot and conducted activities.
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7.4 Methodology used for forest sampling
The sample plot shape was adopted from The HCS Approach Toolkit version 01 as follows:
Figure 13. Sample plot shape for vegetation inventory Note: Small plot: 10 m x 10 m: vegetation with diameter at breast height between 5 up to 15 cm Large plot: vegetation with diameter at breast height more than 15 cm
7.5 Methodology used for carbon calculations
Biomass approach was used to measure carbons stock. Allometric equation from Kettering (2001) was used to calculate biomass stock based on vegetation diameter and wood density. Wood density data can be seen on ICRAF wood density data base2. According to HCS Approach document, ratio between carbon stock and biomass stock is 0.47.
7.6 Indicative photos of each vegetation class
Sample plots of carbon stock measurement were applied in scrub, young regeneration forest, low density forest, and medium density forest. The figure bellow provides the illustration of sample plot in scrub, young regeneration forest, low density forest, and medium density forest.
2 http://db.worldagroforestry.org/wd
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A. Sample plot in Scrub
North South
West East
Canopy Floor Figure 14. Sample plot in Scrub
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B. Sample plot in young regeneration forest
North South
West East
Canopy Floor Figure 15. Sample plot in young regeneration forest
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C. Sample plot in low density forest
North South
West East
Canopy Floor Figure 16. Sample plot in low density forest
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D. Sample plot in Medium density forest
North South
West East
Canopy Floor
Figure 17. Sample plot in Medium density forest
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7.7 Statistical analysis (allometric used, confidence tests, justification)
Allometric equation from Kettering (2001) was used to estimate Above Ground Biomass (AGB) as follows:
AGB = 0.11ρ (d2.62)
AGB : Above Ground Biomass (Kg) D : Diameter at breast height (cm) ρ : Wood density (g.cm-1)
The value of confidence test which used in this study was 90%
7.8 Summary of statistical analysis of carbon stock results per vegetation class
Table 9. Summary of statistical analysis of carbon stock results per vegetation class
Standard Number Stems per Basal Average Carbon Confidence limits Land Cover Class error of of Plots hectare Area Stocks (90%) the mean
5-15 15 5-15 m2/ha 15 cm < Lower Upper cm cm < cm Scrub 6 650 210 21.97 4.88 27.55 1.06 31.38 33.49 Young Regenerating 6 717 227 37.53 6.21 57.79 1.94 62.07 65.94 Forest Low Density Forest 5 860 348 53.98 14.02 69.54 2.09 81.47 85.64 Medium Density 22 823 469 70.34 13.46 107.43 4.15 116.74 125.05 Forest
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7.9 Forest inventory results
Table 10. Forest inventory class
Average Physical description of the land cover, e.g. species mix, forest type (pioneer, Land cover class carbon value regenerating, primary etc.), diameter distribution, structural indices, maturity (tonC.ha-1) indices, etc.
The ratio between trees above 15 cm of dbh and less than 15 cm of dbh was 0.32. It Scrub 32.4 was dominated with low scrub with limited canopy closure. Young The ratio between trees above 15 cm of dbh and less than 15 cm of dbh was 0.32. It Regeneration 64.01 was dominated with trees with diameter 10-30 cm and pioneer species. Forest The ratio between trees above 15 cm of dbh and less than 15 cm of dbh was 0.40. Low Density 83.56 The small diameter trees were not too dominant in this land cover type. This land Forest cover type had more species than young regeneration forest. The ratio between trees above 15 cm of dbh and less than 15 cm of dbh was 0.57. It Medium Density 120.89 was dominated with trees with diameter >30 cm and climax species, e.g. Vatica Forest rassak. This land cover type had the same species with medium regeneration forest.
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8. Land Cover Classification 8.1 Refined land cover map with title, date, legend and any HCS forest patches identified
Figure 18. Land cover map and HCS potential area in PT. Papua Agro Lestari
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9. Patch Analysis Result 9.1 Results of Decision Tree
Table 11. Consideration of HCS decision tree
Patch Total area Of which core Priority (Low-LP, number (ha) (ha) Medium-MP, High- Description of Decision Tree results HP) It has indication to be develop because high risk, no 29 - 326 136.07 0.94 Low priority core area, small plot, and with carbon stock density less than 75 tonC.ha-1 It has indication to be develop because high risk, and 2- 28 510.59 34.09 Medium priority with carbon stock density less than 75 tonC.ha-1 It has indication to be conserved, but has to combine 1 24,743.83 19,253.64 High priority with other decision variable such as spatial plan map (RTRW), socio-economic, forest in landscape level, etc.
Figure 19. Plot Analysis map
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9.2 Comments on Decision Tree outcome
To determine HCS area, we considered several parameters, such as legality, social economy, carbon stock, and plot analysis. The concession area of PT PAL was designated as plantation based on spatial plan (RTRW) of Papua Province. The major consideration and important to remember is that this area designation is for agriculture, based on Indonesian regulation. Local community also supports the development of their area into palm oil plantation, because this company provides benefits in form of accessibility, education, and livelihood. In watershed landscape level (Bian and Trans Fly), 66.67% of watershed cover in PT PAL area is covered by forest (766,663 hectares of 1,149,937 hectares). Based on the BAPPENAS report in National Strategy of REDD, the definition of High Carbon Stock is land cover with carbon stock more than 100 tonC.ha-1, and Low Carbon Stock is land cover with carbon stock less than 35 tonC.ha-1. Based on the field study data and analysis, average carbon stock in PT PAL is less than 75 tonC.ha-1 for low density forest and more than 75 tonC.ha-1 for medium density forest. In this study, land cover with carbon stock more than 75 tonC.ha-1 can be categorized as High Carbon Stock area based on its density and risk. The HCS area is allocated in the eastern part of Mandom River with total area of 5,835 hectares.
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10. Indicative Land Use Plan 10.1 Summary of results of final ground verification (if any)
Conservation area in PT PAL consists of HCV and HCS area, which include riparian, forest, and the area around water spring. Regarding to elaboration, PT PAL welcomes other parties to verify the result of this study.
10.2 Final HCS map
Figure 20. Conservation area in PT PAL
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10.3 Overview of forest conservation management and monitoring activities to be included in the Conservation and Development (land use) Plan
There are several activities related with management and monitoring plan in HCV document. Here are activities that should be done in PT PAL: 1. Defining conservation area in the field based on HCV map. 2. Biodiversity and physic monitoring in conservation area. 3. Vegetation enrichment in HCV area by planting, nursing and maintaining periodically trough monitoring. 4. Security improvement in conservation area. 5. All activities must involve local community or participative
10.4 List of activities still to be carried out before Conservation and Development Plan can be finalized
1. Dissemination about conservation area, plan, and management along with local community and government. 2. Making an agreement for collaborative conservation management. 3. Human resources improvement for those who will be involved in managing the conservation area.
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