| Literature DB >> 17377732 |
Peter A Minang1, Michael K McCall, Hans Th A Bressers.
Abstract
There is a growing assumption that payments for environmental services including carbon sequestration and greenhouse gas emission reduction provide an opportunity for poverty reduction and the enhancement of sustainable development within integrated natural resource management approaches. Yet in experiential terms, community-based natural resource management implementation falls short of expectations in many cases. In this paper, we investigate the asymmetry between community capacity and the Land Use Land Use Change Forestry (LULUCF) provisions of the Clean Development Mechanism within community forests in Cameroon. We use relevant aspects of the Clean Development Mechanism criteria and notions of "community capacity" to elucidate determinants of community capacity needed for CDM implementation within community forests. The main requirements are for community capacity to handle issues of additionality, acceptability, externalities, certification, and community organisation. These community capacity requirements are further used to interpret empirically derived insights on two community forestry cases in Cameroon. While local variations were observed for capacity requirements in each case, community capacity was generally found to be insufficient for meaningful uptake and implementation of Clean Development Mechanism projects. Implications for understanding factors that could inhibit or enhance community capacity for project development are discussed. We also include recommendations for the wider Clean Development Mechanism/Kyoto capacity building framework.Entities:
Mesh:
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Year: 2007 PMID: 17377732 PMCID: PMC1914239 DOI: 10.1007/s00267-005-0275-2
Source DB: PubMed Journal: Environ Manage ISSN: 0364-152X Impact factor: 3.266
CDM community capacity assessment framework
| Additionality | Does the community have access to adequate financial resources for baseline and other analysis? |
| Does community have access to required technology for data collection and analysis? | |
| Acceptability | Are the necessary national sustainable development policy analysis knowledge and skills available within the community? |
| Externalities | Are the necessary impact assessment and leakage analysis knowledge and skills available within the community? |
| Certification | How adequate is the community forest monitoring system? |
| How adequate is the community information infrastructure? | |
| Is the relevant CDM information (forest inventory, socio-economic) available? | |
| Does community have required financial resources to engage Designated Operational Entities? | |
| Management Capability | Are actors effectively participating in decision-making and implementation? |
| How effectively are resource rules being implemented? | |
| How good are actor relationships in forest management? | |
| Are communities receiving adequate government and NGO support? |
Fig. 1Location of study areas in Cameroon
Summary description of community forestry actors
| 1. Bimbia Bonadikombo Natural Resource Management Council (BBNRMC) | Manages Bimbia forest; Has an elected Board and a Forest Management Officer overseeing day-to-day operations |
| 2. Tinto Clan Community Forest–Common Initiative Group (TCCF–CIG) | Manages Tinto forest; Has an elected Management Committee and a Forest Management Officer in charge of day-to-day operations. |
| 3. Chiefs | Village heads; custodians of forests; authorise access to all resources and land; in both cases are members of the BBNRMC board and TCCF-CIG committee, respectively |
| 4. Forest User Groups | Includes all user groups; interested in access rights; participate in general assemblies of organisations; In the case of Bimbia, each user group has a representative on the Board |
| 5. Women in communities | Interested in access rights for non-timber forest products and farmland |
| 6. Elites | “Successful” sons and daughters living outside the community (as |
| 7. Ministry of Forests and Fauna (MINFOF) | Mandated to ensure sustainable forest management; provide technical support; conflict resolution |
| 8. Municipal Authorities | Interested in contributions of community forest to development of municipality |
| 9. Non-Governmental Organisations (NGOs) | Interested in sustainable forest management; provides technical, institutional, and financial support; |
| Mount Cameroon Project supported Bimbia, while Living Earth Foundation supported Tinto. |
Summary of findings
| Insufficient financial resources. Deficit of $3000 in 2005 accounts; Little experience with high interest loans; Eligibility unlikely due to use of ODA funds in forestry implementation | Insufficient financial resources. Functioning for past three years with $784 in total; No experience with loans; Eligibility unlikely due to use of ODA funds in forestry development. | |
| Limited knowledge and skills. One person with undergraduate knowledge of cost benefit analysis and none in investment or financial analysis methods. Fourteen employees have knowledge and skills in timber inventories only. | Knowledge and skills are extremely limited. No knowledge or experience of financial or investment analysis in community. Eleven people have knowledge and skills in timber inventories only. | |
| Little or no access to satellite data and other technologies required. | Same as in Bimbia | |
| Community fulfilled “sustainability” criteria in the development of management plans with NGO support. Hence have some relevant experience. | Same as in Bimbia | |
| Three members in community have knowledge skills and experience in environmental and social impact assessment, therefore good potential | No knowledge or skills in environmental or social impact assessment observed | |
| No knowledge or understanding of leakage observed | Same as in Bimbia | |
| Monitoring systems are functional, but inadequate for CDM because they do not involve ongoing inventories; Short of manpower (ratio of staff to forest area is 1:285 ha) | No documented evidence of monitoring. The lone staff cannot ensure any proper monitoring for an area of 1 295ha. | |
| Both physical and digital Information systems (computers) are operational. This can allow for “sharability”; hence, the system is potentially adaptable to CDM archiving requirements. | Information system consists of two cardboard folders. Hence, inadequate in form, content, and quality for CDM purposes. | |
| Some relevant geographical, socio-economic, ecological, and general information is available for CDM use within current systems. But much more is required | Same as in Bimbia | |
| Inadequate financial resources to pay for validation services | Same as in Bimbia | |
| Conflicts exist, (i) between 6 chiefs and management board of community forest; (ii) between community—MINFOF over 14 permits and proceeds from auctioning of seizures; and (iii) between farmers and forest management. | Conflicts between 3 chiefs and management officer. | |
| Illegal activity income accounts for about 67% of income from legal forest activities and 19% of total revenue in 2005. It is significant and poses threats to the success of potential carbon project. | No illegal activity observed. Rules are being respected. | |
| Government short of forestry personal (staff to forest area ratio in the province is about 1:1500ha); Government staff do not understand the CDM and have no relevant skills to support communities | Same as in Bimbia | |
| The Cameroon Mountain Conservation Foundation (CAMCOF) is interested in providing support for carbon forestry in the area, but lack the knowledge, skills and resources. | Living Earth Foundation is interested in providing support for carbon forestry in the community, but lacks the knowledge, skills and resources. | |
Estimated income and expenditure of community forests (January–December 2005)
| Total (XAF/USD) | 14,867,000/30200 | 5,000,000a/10150 |
| From forest operations- wood (%) | 28.5 | 100 |
| From grants/donations (%) | 10.4 | 0 |
| From service delivery (ecotourism and tree care services to Urban Council (%) | 23 | 0 |
| Fines and auction sales (%) | 19.1 | 0 |
| Loans (%) | 18.8 | 0 |
| Total (XAF/USD) | 15,910,000/32300 | 940,000/1900 |
| Operational costs, Office (%) | 11 | 100 |
| Operational costs, Field (%) | 23.4 | 0 |
| Salaries (%) | 62.8 | 0 |
| Investments (%) | 0 | 0 |
aThis amount represents a deposit made by a potential timber exploiter in November 2005, as proof of liquidity
Projected carbon mitigation potential for community Forests
| Total area (ha) | 1295 | ||
| Vegetation type | Natural forest | ||
| Scenario description | Conversion | Averted DEForestation | Reduced Impact Logging |
| (ADEF)- Conservation | (RIL) | ||
| Potential area (ha)/yr | 7.77 | 52 | |
| Carbon gain -tC ha −1a | 220 | 104 | |
| Total carbon saving (Kt C y −1)b | — | ||
| Total area (ha) | 3714 | ||
| Vegetation type | Natural forest (50%) and mixed cocoa farms and secondary forests (50%) | ||
| Scenario description | Conversion | ADEF — Conservation of natural forest/Conservation +regeneration Conservation + regeneration | (RIL)/conservation + regeneration |
| Potential area (ha)/Yr | — | 11 (ADEF)/ 928 (Conservation) | 74 (RIL)/928 (Conservation) |
| Carbon gain -tC ha−1a | — | 220 (tC ha−1)/5 tC ha−1y−1 | 104 / 5 tC ha−1 y−1 |
| Total carbon saving (Kt C y−1) | — | 2.4/4.64 | 7.7/4.64 |
aMean Annual Carbon gain values for various project scenarios are assumed from reported studies in Cameroon as follows: ADEF (Kotto-Same and others 1997), RIL (Justice and others 2001), and Regeneration (Palm and others 2000).
bTotal carbon savings are given as ∑(Carbon gain × potential area)
cGeneral Scenario assumptions are:
• Secondary forests are made available for conservation and regeneration
• There will be no fires, droughts or disasters during the project lifetime
• Illegal logging will be minimal and not sufficient to significantly affect project
• Forest areas do not include roads, water bodies and minor human settlements
• Exercise of usufruct rights for subsistence purposes including fuel wood, and non timber forest product harvesting is unlikely to significantly affect carbon flows
Fig. 2Sociogram showing community forest actor relationships in both communities