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Economic and ecological outcomes of community-based forest management: A case study from Benin, West Africa Rodrigue Castro Gbedomon, Anne Floquet, Roch Mongbo, Valère Kolawolé Salako, Adandé Belarmain Fandohan, Achille Euphrem Assogbadjo & Romain Glèlè kakaї September 10, 2015 Student Conference on Conservation Sciences Bengaluru, India
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OUTLINE Introduction Methods Results Discussion
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BACKGROUND AND PROBLEM ADDRESSED CONSERVATION BIOLOGISTS
People depend on forests for food, medicines, firewood, cultural ceremonies, and making home CONSERVATION BIOLOGISTS We MUST protect the forests as well as the people who totally depend on them! Tree cover loss in 2014 = 18 millions of hectares (Global Forest Watch, 2015)
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SOLUTION HYPOTHESIS: CHANGE THE FOREST GOVERNANCE Local people
(Nagendra et al. 2005, Blaikie 2006) SOLUTION HYPOTHESIS: CHANGE THE FOREST GOVERNANCE Joint Forest Management Social Forest Management Participatory Forest Management Community-based Forest Management ETC History of forest governance in Sub Saharan Africa Community forestry Local people Colonists Central State Central state+ Local People Till XIXe XIX-1960 After 1960 From 1990 RESULTS Failure or relative success (Nagendra et al. 2005, Blaikie 2006, RPI 2012.)
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CHANGE THE FOREST GOVERNANCE
FAILED: WHY? 1. Willingness of State to retain important control over forest resources. Only part of properties rights are transferred to local communities (Cronkleton et al. 2012). We expected positive outcomes (economic and ecologic) with increased property rights transferred to local communities. 2. Local communities feel less concerned for the conservation of forest resources and develop unsustainable practices. CHANGE THE FOREST GOVERNANCE 3. Connectivity between forest property rights and livelihood of local forest dependent communities and forest conditions (Lambini and Nguyen 2014).
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AIMS Analyse economic and ecological outcomes of the governance system of Tobé-Kpobidon (TK) forest
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HAVE IMPORTANT PROPERTY RIGHT TO LOCAL PEOPLE
STUDY AREA Tobé-Kpobidon (TK) FOREST HAVE IMPORTANT PROPERTY RIGHT TO LOCAL PEOPLE
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METHOD 1: Evaluation of the economic outcomes
SAMPLING OF PEOPLE (RESPONDENTS) AROUND FOREST U1-α/2 (α = 0.05) = 1.96; p = 16.5 % (proportion of forest users) d= 8% (margin error) Step 1 (Dagnelie 1998) 40 21 22 FULL ACCESS HAVE ACCESS BUT NEED PERMISSION VERY LIMITED ACCESS CLASSIFICATION OF SAMPLES BASED ON ACCESS TO FOREST RESOURCES Step 2 CALCULATION OF CONTRIBUTION OF FORESTS ON ANNUAL INCOME A. Monetary and non monetary income B. Monetary income Step 3 %Rfi=contribution of forest to annual income of respondent ‘i’ GOP forest i= income of all productive activity related to forest. GOPi= income of all productive activity of respondent ‘i’ %Rfi=contribution of forest to annual cash flow, CF foresti=annual cash flow of all productive activity of related to forests, Cfi= cash flow of all productivity activity of respondent i.
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METHOD 2: EVALUATION OF THE ECOLOGICAL OUTCOMES
A. Change in TK forest landscape Perception analysis (Dynamic of TK forest landscape) Land use dynamic analysis (to support the perception analysis) B. Forest biodiversity and growth Forest inventory (50 plots of 50 x 50 m2) NMDS in the SPSS v16 software using ALSCAL procedure + hierarchical cluster analysis (Individualizing vegetation types) Floristic diversity parameters (species richness, Shannon diversity index and Pielou evenness) Growth and woody species population trend analysis (dendrometric parameters)
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1. Economic outcomes of the system of TK forest governance
RESULTS 1. Economic outcomes of the system of TK forest governance 25.65% 17.08% 0.09% 3.15% 16.47% 0.0%
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2. Ecologic outcomes of the system of TK forest governance
TK forest was mainly savannah before 1995 and was cultivated by Holli.
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2. Ecologic outcomes of the system of TK forest governance
Inverse ‘j’ shape Floristic diversity and dendrometric parameters VT1 VT2 VT3 p-value Whole TK forest m Cv (%) Cv %) Cv(%) Floristic diversity Species richness (S, species) 75.00 - 52.00 63.00 91.00 Shannon diversity (H, bits) 5.09 4.60 4.77 5.40 Pielou eveness (Eq) 0.82 0.81 0.80 0.83 Dendrometric parameters Trees density (N, stems.ha-1) 207.86 45.93 252.00 55.77 298.75 30.35 0.021 242.24 44.21 Mean diameter (D, cm) 23.13 18.06 31.08 42.85 27.60 24.34 0.002 25.51 27.81 Basal area (G, m².ha-1) 9.03 57.21 18.68 66.59 18.49 50.02 0.030 13.21 67.68 3% of the national flora (Akoegninou et al. 2005)
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CONCLUSIONS Could we expected positive outcomes (economic and ecologic) with increased property rights transferred to local communities? YES, ….. Those who are most dependent and/or most involved in forest conservation are not those who profit most. This discrepancy might not affect the sustainability of such system of governance as cash benefits are not highly influencing stakeholders’ willingness to counter threats in forest management (Salafsky et al. 2001). This alternative system of forest governance could be used elsewhere in its principle (Increase the property right of local communities on forests).
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Acknowledgement THANK YOU FOR YOUR ATTENTION!! www.labef-uac.org
Anne Floquet (Associate Professor in Agricultural economics) Romain Glèlè Kakaï (Full Professor in Biostatistics and Forest modelling) Karin Ostertag (Fondation Aide à l’Autonomie Tobé) Tirth Raj Ghimire, PhD (Global Primate Network) THANK YOU FOR YOUR ATTENTION!!
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