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Binary logistic models for the evaluation of Community Forestry as a tool for effective forest law in Cross River State, Nigeria

The study evaluates the potentials of Community Forestry (CF) techniques with a view to strengthening forest law enforcement and sustaining the collaboration of government and forest stakeholders in sustainable forest management. The method used for the study was a socio-economic survey among the stakeholders in Plateau/Montane, Savanna/Grassland, Rainforest and Mangrove ecological zones in Cross River State Nigeria to gather data through observations and conducting a survey questionnaire. A total of 1193 stakeholders responded; 785 (65.8%) were involved in CF. Analysis was undertaken using Chi-square which was significant (χ2 = 119.14) at p < .0005. Incentives needed for effective forest law enforcement revealed that Community Involvement in Decision Making (CIDM) had the highest odd ratio of 40461.51. This was followed by Training and Capacity Building (TCB); Financial Empowerment (FE); and Soft Loan (SL) with odd ratios of 4299.99, 152.45 and 31.38, respectively. The regression parameters in the model were statistically significant. CF has been used fairly as a tool for enforcing forest laws across the four ecological zones in Cross River State. However, the Forestry Commission has been poor in discharging its statutory functions. It is recommended that there should be an urgent need for the State Forestry Commission in Cross River State to formulate forest policy and programmes that would involve CIDM by all stakeholders; TCB; FE; and SL for a more participatory CF.