International Tropical Timber Organization Itto Pre-Project Document

Total Page:16

File Type:pdf, Size:1020Kb

International Tropical Timber Organization Itto Pre-Project Document INTERNATIONAL TROPICAL TIMBER ORGANIZATION ITTO PRE-PROJECT DOCUMENT TITLE IDENTIFICATION OF A PROJECT FOR THE REGENERATION AND MANAGEMENT OF MANGROVE FORESTS SURROUNDING THE DOUALAlEDEA RESERVE, DEPARTMENT OF SANAGA MARITIME, CAMEROON SERIAL NUMBER PPD 130/06 Rev.1 (F) COMMITTEE REFORESTATION AND FOREST MANAGEMENT SUBMITTED BY GOVERNMENT OF CAMEROON ORIGINAL LANGUAGE FRENCH SUMMARY The specific objective of this pre-project is to develop a project proposal to be submitted to ITTO for financing and technical support in the area surrounding the DoualaJEdea Wildlife Reserve situated in the Sanaga Maritime department. The project to be developed will contribute to the regeneration and sustainable management of mangrove forests in order to achieve the restoration and value-added development of ecological and socio­ economic functions of mangrove forests affected by unsustainable management practices. Through the community forest process and capacity building, communities established in and around the Reserve will take charge of the regeneration of degraded land, including the mangrove, the value-added development of timber and non-timber forest products in order to ensure the sustainable management of this fragile ecosystem and the development of a sustainable, environmentally conscious local economy. This pre-project and the future project are in line with the Government of Cameroon's policy aiming at establishing sustainable forest and environment resource management by involving all stakeholders in the management of these resources. It is consistent with components 2 and 4 of the Forest and Environment Sectoral Programme (PS FE) and will produce a field-oriented, follow-up case study to the national mangrove study implemented by FAO. EXECUTING AGENCY Cameroan Ecology (Cam-Eco) COOPERATING GOVERNMENTS DURATION 6 MONTHS APPROXIMATE TO BE DECIDED STARTING DATE BUDGET AND PROPOSED Source Contribution Foreign Currency SOURCES OF FUNDING in US $ Equivalent ITTO 79,164 Cam-Eco 22,545 TOTAL 101,709 1 I j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j J Contents Page Acronyms 3 Part One 4 1 Project origin 4 2 Sectoral policies 5 Part Two 6 1 Pre-project objectives 6 1.1 Development Objective 6 1.2 Specific objective 6 2 Justification 6 2.1 Problem to address 6 2.2 Reasons for a pre-project 9 2.3 Target beneficiaries 9 2.4 Other relevant aspects 10 3 Outputs 10 4 Activities 11 5 Work Plan 12 6 Budget 13 6.1 Overall Pre-project budget by activity 13 6.2 ITTO Pre-Project Budget 14 6.3 Counterpart Budget 15 Part III - The Tropical Timber Framework 16 1 Compliance with ITTA, 1994 16 2 Compliance with ITTO Action Plan 16 3 Compliance with the ITTO Action Plan for Mangroves (2002-2006) 17 Annexes 19 Annex A Executing Agency's Profile 19 Annex B CV of Key Project Staff 21 Annex C Terms of Reference for Consultants 24 AnnexD Map 25 Annex E Expert Panel recommendations 26 Annex F References 27 2 Acronyms· Cam-Eco Cameroon Ecology COSCBAC Collectif des Organisations de la Societe Civile du Bassin du Congo / Congo Basin Civil Society Organizations Network CBP Capacity Building Programme CWCS Cameroon Wildlife Conservation Society DSRP Poverty Reduction Strategy Document ICRAF Institut de Recherche en Agro-foresterie lRAD Institut de Recherche Agronomique pour le Developpement ITTA International Tropical Timber Agreement ITTO International Tropical Timber Organization MINADER Ministere de l' Agriculture et du Developpement Rural (Ministry of Agriculture and Rural Development) MINATD Ministere de l' Administration Territoriale et de la Decentralisation (Ministry of Lands Administration and Decentralisation) MINFOF Ministry of Forest and Fauna NGO Non-Governmental Organization PAIVMA Integrated Management Project for the Mefou and Afamba Forest and Valley PNVRA Programme National de Vulgarisation et de Recherche Agricole / National Agricultural Research and Extension Programme Pro-Genre Promotion of the Gender & Development approach PSFE Programme Sectoriel Foret Environnement / Forest & Environment Sectoral Programme RCM Reseau de Conservation de la Mangrove / Mangrove Conservation network RFC Reseau de Foresterie Communautaire / Community Forestry Network SNV Dutch international development organization UNFCCC United Nations Framework Conference on Climate Change US$ US Dollar 3 PART ONE: CONTEXT 1. Origin of the Pre-project The idea of this pre-project stems from activities conducted by the NGO Cameroon Ecology (Cam-Eco), whose national headquarters are in EDEA, Department of Sanaga Maritime, Province du Littoral, Cameroon. Cam-Eco has found that the "Littoral" (coastal) Province in general and the Sanaga Maritime Department in particular loses its plant cover on a daily basis. The causes of this gradual loss of natural forest are many: (1) high population growth rate; (2) the conversion forest lands to establish vast agro-industrial plantations, mainly oil­ palm trees and rubber trees; (3) illegal forest logging, greatly accelerated by the proximity with the economic hub of the Douala Port combined with a the lack of an effective control and surveillance mechanism. To reduce these pressures on forests and promote thesocio-economic development of these communities, for a number of years, Cam-Eco has endeavoured to support the rural communities in the creation and management of community forests as well as to report forest offences to the forest authority. However, the consequences of Cam-Eco action is still limited in view of the magnitude of the task, and it is urgent to establish a system which could secure rational and sustainable forest management in general, including mangrove forests, in order to better ensure their protection. Similarly, this system should also ensure better livelihood for the communities based on the local economy because in spite of significant environmental resources, these communities are among the poorest in Cameroon. In this perspective, Cam-Eco, acting in collaboration with the Cameroon Wildlife Conservation Society (CWCS), had the idea to develop participatory mangrove forest management in and around the DoualaJEdea wildlife reserve in order to conserve this fragile ecosystem affected by misuses and alteration of all sorts. However, the development of a project of this nature requires baseline information data on physical, ecological, socio-economic, cultural and institutional aspects still not available. More specifically, knowledge data on mangrove forests are approximate, especially with regard to their current conservation status, ecosystem, socio-economic potentials, regeneration capacities, economic values, for the parties involved in fllt~b/ood harvesting for the fish­ smoking industry, hence the various constraints on the est:1blishment of a sustainable management process for this resources highly sought aft~r by communities from Ghana, Nigeria, Benin, Mali, etc. FAO conducted a number of studies on Cameroon's mangroves, whose reports are still awaited; these studies tend to be global in outlook and this pre-project will certainly help refine the results of these studies conducted at national level and help develop effective, local-level solution to the weaknesses identified. The Sanaga Maritime Department covers around 20,400 km2 and has a total population of circa 200,000 inhabitants *. Sanaga Maritime is situated in the Littoral Province; it is subdivided into six arrondissements and two districts - Edea, Dizangue, Mouanko, Ndom, Ngambe and Pouma; Massock and Nyanon. Sanaga Maritime is dominated by an equatorial forest contiguous to a savannah land, and the Department has a non developed shoreline almost 80 km in length. Sanaga Maritime Department has an extremely varied landscape featuring almost every climatic, drainage * Sanaga Maritime, Terre d'Avenir; Le Livre Blanc multisectoriel des projets de developpement local, Ope!, 2002 4 system, demographic, ecological and wildlife characteristics of Cameroon *. The Department is bordered by the following neighbour Departments: Nyong and Kelle to the East; Mbam to the North; the Atlantic Ocean to the South; Wouri and Nkam to the West. * The mangrove forests of Cameroon cover over 30% of coastlines, i.e. a total surface area close to 400,000 ha. The two dominant species are Rhizophora racemosa (90%), A vicennia germinaus (5%). Main mangrove forest locations are: The mouths of river Nyong, Lokoundje and Ntem respectively; Cameroons Estuary which lies between the mouth of Sanaga to Cape Bimbia, where in addition to estuarine mangrove forests, there are fluvial mangroves which are found along the banks of rivers WOURI, SANAGA, and DIBAMBA The land comprised between NJANGASSA and the Nigerian border, as well as the group of islands lying offshore the Rio Del Rey estuary. The DoualalEdea Wildlife reserve was created in 1932; it covers 160,000 ha and is situated in the coastal plain of the Sanaga valley within the Kribi-Douala basin. Some 60 villages with a total estimated population of 10,000 people live within and around the Reserve. The Reserve is made up of mangroves and moist forests and contains rich natural resources. Its diversified vegetation comprises moist Congolese hill forests, mangrove forests, secondary forests and croplands. The reserve contains scattered swamps, several lakes and streams providing their habitats to several mammal species*. (See map in annex) 2. Sectoral policies The Mangrove forest regeneration and management project around the DoualalEdea reserve, for which this project proposal has been developed, is consistent with the policy of the Government of Cameroon aimed to promote the involvement of communities in forest resource management. The main reference documents reflecting the commitment of the Government of Cameroon to make community forest a tool to combat poverty and implement sustainable natural resource management are as follows: Forest Law n094/01 of 25 January 1994 and enactment decree N° 95/531 PM of 23 August 1995.
Recommended publications
  • Infrastructure Causes of Road Accidents on the Yaounde – Douala Highway, Cameroon
    Available online at http://www.journalijdr.com International Journal of Development Research ISSN: 2230-9926 Vol. 10, Issue, 06, pp. 36260-36266, June, 2020 https://doi.org/10.37118/ijdr.18747.06.2020 RESEARCH ARTICLE OPEN ACCESS INFRASTRUCTURE CAUSES OF ROAD ACCIDENTS ON THE YAOUNDE – DOUALA HIGHWAY, CAMEROON 1WOUNBA Jean François, 2NKENG George ELAMBO and *3MADOM DE TAMO Morrelle 1Department of Town Planning, National Advanced School of Public Works Yaounde, Ministry of Public Works, P.O. Box 510, Yaounde, Cameroon; 2Director of the National Advanced School of Public Works Yaounde, Ministry of Public Works, P.O. Box 510, Yaounde, Cameroon: 3Department of Civil Engineering, National Advanced School of Public Works Yaounde, Ministry of Public Works, P.O. Box 510, Yaounde, Cameroon ARTICLE INFO ABSTRACT ArticleArticle History: History: The overall goal of this study was to determine the causes of road crashes related to road th ReceivedReceived 24xxxxxx, March, 2019 2020 infrastructure parameters on the National Road No. 3 (N3) and provide measures to improve the ReceivedReceived inin revisedrevised formform safety of all road users. To achieve this, 225 accident reports for the years 2017 and 2018 were th 19xxxxxxxx, April, 2020 2019 th collected from the State Defense Secretariat. This accident data was analyzed using the crash AcceptedAccepted 20xxxxxxxxx May, 2020, 20 19 frequency and the injury severity density criteria to obtain the accident-prone locations (7 critical Published online 25th June, 2020 Published online xxxxx, 2019 sections and 2 critical intersections) and a map presenting these locations produced with ArcGis Key Words: 10.4.1. A site visit of these locations was then performed to obtain the road infrastructure and environment data necessary to get which parameters are responsible for road crashes.
    [Show full text]
  • Minmap Region Du Littoral Synthese Des Donnees Sur La Base Des Informations Recueillies
    MINMAP REGION DU LITTORAL SYNTHESE DES DONNEES SUR LA BASE DES INFORMATIONS RECUEILLIES Nbre de N° Désignation des MO/MOD Montant des Marchés N° page Marchés 1 Communauté Urbaine de de Douala 94 89 179 421 671 3 2 Communité Urbaine d'édéa 5 89 000 000 14 3 Communité Urbaine de Nkongsamba 6 198 774 344 15 4 Services déconcentrés Régionaux 17 718 555 000 16 Département du Moungo 5 Services déconcentrés départementaux 5 145 000 000 18 6 Commune de BARE BAKEM 2 57 000 000 18 7 Commune de BONALEA 3 85 500 000 19 8 Commune de DIBOMBARI 3 105 500 000 19 9 Commune de LOUM 16 445 395 149 19 10 Commune de MANJO 8 132 000 000 21 11 Commune de MBANGA 3 108 000 000 22 12 Commune de MELONG 12 173 500 000 22 13 Commune de NJOMBE PENJA 5 132 000 000 24 14 Commune d'EBONE 12 299 500 000 25 15 Commune de MOMBO 3 77 000 000 26 16 Commune de NKONGSAMBA I 1 27 000 000 26 17 Commune de NKONGSAMBA II 3 59 250 000 27 18 Commune de NKONGSAMBA III 2 87 000 000 27 TOTAL Département 78 1 933 645 149 Département du Nkam 19 Services déconcentrés départementaux 12 232 596 000 28 20 Commune de NKONDJOCK 16 258 623 000 29 21 Commune de YABASSI 14 221 000 000 31 22 Commune de YINGUI 4 53 500 000 33 23 Commune de NDOBIAN 17 345 418 000 33 TOTAL Département 63 1 111 137 000 Département de la Sanaga Maritime 24 Services déconcentrés départementaux 8 90 960 000 36 25 Commune de Dibamba 3 72 000 000 37 26 Commune de Dizangue 5 88 500 000 37 27 Commune de MASSOCK 4 233 230 000 38 28 Commune de MOUANKO 15 582 770 000 38 29 Commune de NDOM 12 339 237 000 40 Nbre de N° Désignation
    [Show full text]
  • Report of Fact-Finding Mission to Cameroon
    Report of fact-finding mission to Cameroon Country Information and Policy Unit Immigration and Nationality Directorate Home Office United Kingdom 17 – 25 January 2004 TABLE OF CONTENTS 1. Preface 1.1 2. Background 2.1 3. Opposition Political Parties / Separatist 3.1. Movements Social Democratic Front (SDF) 3.2 Southern Cameroons National Council (SCNC) 3.6 Ambazonian Restoration Movement (ARM) 3.16 Southern Cameroons Youth League (SCYL) 3.17 4. Human Rights Groups and their Activities 4.1 The National Commission for Human Rights and Freedoms 4.5 (NCHRF) Action by Christians for the Abolition of Torture (ACAT) 4.10 Action des Chrétiens pour l’Abolition de la Torture ………… Nouveaux Droits de l’Homme (NDH) 4.12 Human Rights Defence Group (HRDG) 4.16 Collectif National Contre l’Impunite (CNI) 4.20 5. Bepanda 9 5.1 6. Prison Conditions 6.1 Bamenda Central Prison 6.17 New Bell Prison, Douala 6.27 7. People in Authority 7.1 Security Forces and the Police 7.1 Operational Command 7.8 Government Officials / Public Servants 7.9 Human Rights Training 7.10 8. Freedom of Expression and the Media 8.1 Journalists 8.4 Television and Radio 8.10 9. Women’s Issues 9.1 Education and Development 9.3 Female Genital Mutilation (FGM) 9.9 Prostitution / Commercial Sex Workers 9.13 Forced Marriages 9.16 Domestic Violence 9.17 10. Children’s Rights 10.1 Health 10.3 Education 10.7 Child Protection 10.11 11. People Trafficking 11.1 12. Homosexuals 12.1 13. Tribes and Chiefdoms 13.1 14.
    [Show full text]
  • Report on the IDB2014 Celebrations in Cameroon
    CAMEROON CELEBRATION OF THE INTERNATIONAL DAY FOR BIODIVERSITY Yaounde, Cameroon 14 May 2014 THEME: ISLAND BIODIVERSITY REPORT A cross-section of the exhibition ground including school children and the media Yaounde, 15 May 2014 1 CITATION This document will be cited as MINEPDED 2014. Report on the Celebration of the 2014 International Day for Biodiversity in Cameroon ACKNOWLEDGEMENT The organisation of the 2014 Day for Biodiversity was carried out under the supervision of the Minister of Environment, Protection of Nature and Sustainable Development Mr HELE Pierre and the Minister Delegate Mr. NANA Aboubacar DJALLOH. The contributions of the Organising Committee were highly invaluable for the success of the celebration of the 2014 International Day for Biodiversity. Members were: AKWA Patrick- Secretary General of MINEPDED- Representative of the Minister at the celebration; GALEGA Prudence- National Focal Point for the Convention on Biological Diversity- coordinator of the celebration; WADOU Angele- Sub-Director of Biodiversity and Biosafety, MINEPDED; WAYANG Raphael- Chief of Service for Biodiversity, MINEPDED NFOR Lilian- Environmental Lawyer at the Service of the Technical Adviser No1 of MINEPDED; SHEI Wilson- Project Assistant, ABS; NDIFOR Roland -Representative of IUCN- Cameroon; BANSEKA Hycinth- Representative of Global Water Partnership- Cameroon MBE TAWE Alex- Representative of World Fish Centre- Cameroon 2 TABLE of CONTENT Introduction…………………………………………………………………………………....4 Preparatory activities………………………………………………………………………..5 Media activities………………………………………………………………………………….5 Commemoration of activities…………………………………………………………….6 Exhibition………………………………………………………………………………………....7 Presentation of stands……………………………………………………………………….7 Conclusion…………………………………………………………………………………………12 Photo gallery…………………………………………………………………………………….13 3 INTRODUCTION Cameroon as a member of the 1992 Convention on Biological Diversity joined the international community to celebrate the International Day for Biodiversity 2014 under the theme ‘Island Biodiversity”.
    [Show full text]
  • N I G E R I a C H a D Central African Republic Congo
    CAMEROON: LOCATIONS OF UNHCR PERSONS OF CONCERN (September 2020) ! PERSONNES RELEVANT DE Maïné-Soroa !Magaria LA COMPETENCE DU HCR (POCs) Geidam 1,951,731 Gashua ! ! CAR REFUGEES ING CurAi MEROON 306,113 ! LOGONE NIG REFUGEES IN CAMEROON ET CHARI !Hadejia 116,409 Jakusko ! U R B A N R E F U G E E S (CENTRAL AFRICAN REPUBLIC AND 27,173 NIGERIAN REFUGEE LIVING IN URBAN AREA ARE INCLUDED) Kousseri N'Djamena !Kano ASYLUM SEEKERS 9,332 Damaturu Maiduguri Potiskum 1,032,942 INTERNALLY DISPLACED PERSO! NS (IDPs) * RETURNEES * Waza 484,036 Waza Limani Magdeme Number of refugees MAYO SAVA Mora ! < 10,000 EXTRÊME-NORD Mokolo DIAMARÉ Biu < 50,000 ! Maroua ! Minawao MAYO Bauchi TSANAGA Yagoua ! Gom! be Mubi ! MAYO KANI !Deba MAYO DANAY < 75000 Kaele MAYO LOUTI !Jos Guider Number! of IDPs N I G E R I A Lafia !Ləre ! < 10,000 ! Yola < 50,000 ! BÉNOUÉ C H A D Jalingo > 75000 ! NORD Moundou Number of returnees ! !Lafia Poli Tchollire < 10,000 ! FARO MAYO REY < 50,000 Wukari ! ! Touboro !Makurdi Beke Chantier > 75000 FARO ET DÉO Tingere ! Beka Paoua Number of asylum seekers Ndip VINA < 10,000 Bocaranga ! ! Borgop Djohong Banyo ADAMAOUA Kounde NORD-OUEST Nkambe Ngam MENCHUM DJEREM Meiganga DONGA MANTUNG MAYO BANYO Tibati Gbatoua Wum BOYO MBÉRÉ Alhamdou !Bozoum Fundong Kumbo BUI CENTRAL Mbengwi MEZAM Ndop MOMO AFRICAN NGO Bamenda KETUNJIA OUEST MANYU Foumban REPUBLBICaoro BAMBOUTOS ! LEBIALEM Gado Mbouda NOUN Yoko Mamfe Dschang MIFI Bandjoun MBAM ET KIM LOM ET DJEREM Baham MENOUA KOUNG KHI KOUPÉ Bafang MANENGOUBA Bangangte Bangem HAUT NKAM Calabar NDÉ SUD-OUEST
    [Show full text]
  • Assessment of Prunus Africana Bark Exploitation Methods and Sustainable Exploitation in the South West, North-West and Adamaoua Regions of Cameroon
    GCP/RAF/408/EC « MOBILISATION ET RENFORCEMENT DES CAPACITES DES PETITES ET MOYENNES ENTREPRISES IMPLIQUEES DANS LES FILIERES DES PRODUITS FORESTIERS NON LIGNEUX EN AFRIQUE CENTRALE » Assessment of Prunus africana bark exploitation methods and sustainable exploitation in the South west, North-West and Adamaoua regions of Cameroon CIFOR Philip Fonju Nkeng, Verina Ingram, Abdon Awono February 2010 Avec l‟appui financier de la Commission Européenne Contents Acknowledgements .................................................................................................... i ABBREVIATIONS ...................................................................................................... ii Abstract .................................................................................................................. iii 1: INTRODUCTION ................................................................................................... 1 1.1 Background ................................................................................................. 1 1.2 Problem statement ...................................................................................... 2 1.3 Research questions .......................................................................................... 2 1.4 Objectives ....................................................................................................... 3 1.5 Importance of the study ................................................................................... 3 2: Literature Review .................................................................................................
    [Show full text]
  • NW SW Presence Map Complete Copy
    SHELTER CLUSTER PARTNERS SW/NWMap creation da tREGIONe: 06/12/2018 December 2019 Ako Furu-Awa 1 LEGEND Misaje # of Partners NW Fungom Menchum Donga-Mantung 1 6 Nkambe Nwa 3 1 Bum # of Partners SW Menchum-Valley Ndu Mayo-Banyo Wum Noni 1 Fundong Nkum 15 Boyo 1 1 Njinikom Kumbo Oku 1 Bafut 1 Belo Akwaya 1 3 1 Njikwa Bui Mbven 1 2 Mezam 2 Jakiri Mbengwi Babessi 1 Magba Bamenda Tubah 2 2 Bamenda Ndop Momo 6b 3 4 2 3 Bangourain Widikum Ngie Bamenda Bali 1 Ngo-Ketunjia Njimom Balikumbat Batibo Santa 2 Manyu Galim Upper Bayang Babadjou Malentouen Eyumodjock Wabane Koutaba Foumban Bambo7 tos Kouoptamo 1 Mamfe 7 Lebialem M ouda Noun Batcham Bafoussam Alou Fongo-Tongo 2e 14 Nkong-Ni BafouMssamif 1eir Fontem Dschang Penka-Michel Bamendjou Poumougne Foumbot MenouaFokoué Mbam-et-Kim Baham Djebem Santchou Bandja Batié Massangam Ngambé-Tikar Nguti Koung-Khi 1 Banka Bangou Kekem Toko Kupe-Manenguba Melong Haut-Nkam Bangangté Bafang Bana Bangem Banwa Bazou Baré-Bakem Ndé 1 Bakou Deuk Mundemba Nord-Makombé Moungo Tonga Makénéné Konye Nkongsamba 1er Kon Ndian Tombel Yambetta Manjo Nlonako Isangele 5 1 Nkondjock Dikome Balue Bafia Kumba Mbam-et-Inoubou Kombo Loum Kiiki Kombo Itindi Ekondo Titi Ndikiniméki Nitoukou Abedimo Meme Njombé-Penja 9 Mombo Idabato Bamusso Kumba 1 Nkam Bokito Kumba Mbanga 1 Yabassi Yingui Ndom Mbonge Muyuka Fiko Ngambé 6 Nyanon Lekié West-Coast Sanaga-Maritime Monatélé 5 Fako Dibombari Douala 55 Buea 5e Massock-Songloulou Evodoula Tiko Nguibassal Limbe1 Douala 4e Edéa 2e Okola Limbe 2 6 Douala Dibamba Limbe 3 Douala 6e Wou3rei Pouma Nyong-et-Kellé Douala 6e Dibang Limbe 1 Limbe 2 Limbe 3 Dizangué Ngwei Ngog-Mapubi Matomb Lobo 13 54 1 Feedback: [email protected]/ [email protected] Data Source: OCHA Based on OSM / INC *Data collected from NFI/Shelter cluster 4W.
    [Show full text]
  • Mobile Phones, Social Capital and Solidarities in the Central Moungo Region (Cameroon)
    ”A human being without cell phones is akin to being lifeless”. Mobile phones, social capital and solidarities in the central Moungo region (Cameroon). Jérémy Pasini To cite this version: Jérémy Pasini. ”A human being without cell phones is akin to being lifeless”. Mobile phones, social capital and solidarities in the central Moungo region (Cameroon).. 2018. hal-01898381 HAL Id: hal-01898381 https://hal-univ-tlse2.archives-ouvertes.fr/hal-01898381 Preprint submitted on 18 Oct 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives| 4.0 International License "A HUMAN BEING WITHOUT A CELL PHONE IS AKIN TO BEING LIFELESS" (A) Mobile phones, social capital and solidarities in the central Moungo region (Cameroon)1 Jérémy PASINI2 (Ph.D. Student in geography, University of Toulouse, France) Summary. One of the most significant trends in Cameroon over the past two decades has been the rapid diffusion of the cellular telephony. The number of mobile phones' has risen from a few thousands in the early 2000s to more than seventeen million in 2014. How should we explain this unpreceded diffusion of cell phones? Why is it so crucial to be able to make phone calls and send short text messages, especially in coun- trysides and medium towns? This work starts from the hypothesis that Moungo's inhabitants can no longer build a resilient livelihood only from village resources (like the monetary salary arisen from the plantation) and are therefore always on the look-out for external unexplored occasions.
    [Show full text]
  • Predicted Distribution and Burden of Podoconiosis in Cameroon
    Predicted distribution and burden of podoconiosis in Cameroon. Supplementary file Text 1S. Formulation and validation of geostatistical model of podoconiosis prevalence Let Yi denote the number of positively tested podoconiosis cases at location xi out of ni sample individuals. We then assume that, conditionally on a zero-mean spatial Gaussian process S(x), the Yi are mutually independent Binomial variables with probability of testing positive p(xi) such that ( ) = + ( ) + ( ) + ( ) + ( ) + ( ) 1 ( ) � � 0 1 2 3 4 5 − + ( ) + ( ) 6 where the explanatory in the above equation are, in order, fraction of clay, distance (in meters) to stable light (DSTL), distance to water bodies (DSTW), elevation (E), precipitation(Prec) (in mm) and fraction of silt at location xi. We model the Gaussian process S(x) using an isotropic and stationary exponential covariance function given by { ( ), ( )} = { || ||/ } 2 ′ − − ′ Where || ||is the Euclidean distance between x and x’, is the variance of S(x) and 2 is a scale − pa′rameter that regulates how fast the spatial correlation decays to zero for increasing distance. To check the validity of the adopted exponential correlation function for the spatial random effects S(x), we carry out the following Monte Carlo algorithm. 1. Simulate a binomial geostatistical data-set at observed locations xi by plugging-in the maximum likelihood estimates from the fitted model. 2. Estimate the unstructured random effects Zi from a non-spatial binomial mixed model obtained by setting S(x) =0 for all locations x. 3. Use the estimates for Zi from the previous step to compute the empirical variogram. 4. Repeat steps 1 to 3 for 10,000 times.
    [Show full text]
  • Forecasts and Dekadal Climate Alerts for the Period 1St to 10Th June 2021
    REPUBLIQUE DU CAMEROUN REPUBLIC OF CAMEROON Paix-Travail-Patrie Peace-Work-Fatherland ----------- ----------- OBSERVATOIRE NATIONAL SUR NATIONAL OBSERVATORY LES CHANGEMENTS CLIMATIQUES ON CLIMATE CHANGE ----------------- ----------------- DIRECTION GENERALE DIRECTORATE GENERAL ----------------- ----------------- ONACC www.onacc.cm; [email protected]; Tel : (+237) 693 370 504 / 654 392 529 BULLETIN N° 82 Forecasts and Dekadal Climate Alerts for the Period 1st to 10th June 2021 st 1 June 2021 © NOCC June 2021, all rights reserved Supervision Prof. Dr. Eng. AMOUGOU Joseph Armathé, Director General, National Observatory on Climate Change (NOCC) and Lecturer in the Department of Geography at the University of Yaounde I, Cameroon. Eng. FORGHAB Patrick MBOMBA, Deputy Director General, National Observatory on Climate Change (NOCC). Production Team (NOCC) Prof. Dr. Eng. AMOUGOU Joseph Armathé, Director General, National Observatory on Climate Change (NOCC) and Lecturer in the Department of Geography at the University of Yaounde I, Cameroon. Eng. FORGHAB Patrick MBOMBA, Deputy Director General, National Observatory on Climate Change (NOCC). BATHA Romain Armand Soleil, PhD student and Technical staff, NOCC. ZOUH TEM Isabella, M.Sc. in GIS-Environment and Technical staff, NOCC. NDJELA MBEIH Gaston Evarice, M.Sc. in Economics and Environmental Management. MEYONG René Ramsès, M.Sc. in Physical Geography (Climatology/Biogeography). ANYE Victorine Ambo, Administrative staff, NOCC. ELONG Julien Aymar, M.Sc. in Business and Environmental law. I. Introduction
    [Show full text]
  • Programmation De La Passation Et De L'exécution Des Marchés Publics
    PROGRAMMATION DE LA PASSATION ET DE L’EXÉCUTION DES MARCHÉS PUBLICS EXERCICE 2021 JOURNAUX DE PROGRAMMATION DES MARCHÉS DES SERVICES DÉCONCENTRÉS ET DES COLLECTIVITÉS TERRITORIALES DÉCENTRALISÉES RÉGION DU LITTORAL EXERCICE 2021 SYNTHESE DES DONNEES SUR LA BASE DES INFORMATIONS RECUEILLIES Nbre de N° Désignation des MO/MOD Montant des Marchés N° page Marchés 1 Services déconcentrés Régionaux 11 476 050 000 3 2 Communauté Urbaine de Nkongsamba 143 49 894 418 496 4 3 Communauté Urbaine de Nkongsamba 1 125 000 000 16 Département du Moungo 4 Services déconcentrés départementaux 2 38 000 000 17 5 Commune de BARE BAKEM 9 312 790 000 17 6 Commune de BONALEA 24 412 000 000 17 7 Commune de DIBOMBARI 11 273 300 000 19 8 Commune de LOUM 8 186 600 000 20 9 Commune de MANJO 8 374 700 000 21 10 Commune de MBANGA 9 222 600 000 21 11 Commune de MELONG 13 293 140 184 22 12 Commune de NJOMBE PENJA 5 221 710 000 23 13 Commune d'EBONE 10 294 400 000 24 14 Commune de MOMBO 6 142 500 000 24 15 Commune de NKONGSAMBA I 11 245 833 000 25 16 Commune de NKONGSAMBA II 11 316 000 000 26 17 Commune de NKONGSAMBA III 6 278 550 000 27 TOTAL Département 133 3 612 123 184 Département du Nkam 18 Services déconcentrés départementaux 2 16 000 000 28 19 Commune de NDOBIAN 12 309 710 000 28 20 Commune de NKONDJOCK 8 377 000 000 29 21 Commune de YABASSI 21 510 500 000 29 22 Commune de YINGUI 11 241 000 000 31 TOTAL Département 54 1 454 210 000 Département de la Sanaga Maritime 23 Services déconcentrés départementaux 10 371 600 000 32 24 Commune de Dibamba 13 328 650 000 32
    [Show full text]
  • Cameroon Page 1 of 19
    Cameroon Page 1 of 19 Cameroon Country Reports on Human Rights Practices - 2004 Released by the Bureau of Democracy, Human Rights, and Labor February 28, 2005 Cameroon is a republic dominated by a strong presidency. Despite the country's multiparty system of government, the Cameroon People's Democratic Movement (CPDM) has remained in power since the early years of independence. In October, CPDM leader Paul Biya won re-election as President. The primary opposition parties fielded candidates; however, the election was flawed by irregularities, particularly in the voter registration process. The President retains the power to control legislation or to rule by decree. He has used his legislative control to change the Constitution and extend the term lengths of the presidency. The judiciary was subject to significant executive influence and suffered from corruption and inefficiency. The national police (DGSN), the National Intelligence Service (DGRE), the Gendarmerie, the Ministry of Territorial Administration, Military Security, the army, the civilian Minister of Defense, the civilian head of police, and, to a lesser extent, the Presidential Guard are responsible for internal security; the DGSN and Gendarmerie have primary responsibility for law enforcement. The Ministry of Defense, including the Gendarmerie, DGSN, and DRGE, are under an office of the Presidency, resulting in strong presidential control of internal security forces. Although civilian authorities generally maintained effective control of the security forces, there were frequent instances in which elements of the security forces acted independently of government authority. Members of the security forces continued to commit numerous serious human rights abuses. The majority of the population of approximately 16.3 million resided in rural areas; agriculture accounted for 24 percent of gross domestic product.
    [Show full text]