Fuzzy Indicator of Sustainable land Management and its correlates in Osun State, Nigeria

A.S. Oyekale, University of Ibadan, Nigeria

Sustainable land management is one of the major issues of concern to Nigerian policy makers. This study applies fuzzy set method to compute composite indicator of unsustainable land use (IULU) from 31 selected plot-level indicators, based on the Framework for Evaluating Sustainable Land Management (FESLM). Results show that average IULU is 0.43 with 41.48 percent of the farms having higher values. Trends in vegetation covers, vigor of crop growth, crop yields, organic matter contents and type of seeds grown have highest contributions to IULU. Also, estimated parameters with Tobit regression show that education (-0.0230), household size (-0.0120), access to credit (-0.7808), access to extension (-0.1163), per capita farm income (-4.04e-08), farming experience (0.0060), erosion problem (0.1218) and inadequate land problem (0.2673) significantly influence IULU (p<0.10). The study notes that efforts to promote soil conservation technologies through extension services and ensuring availability of credits, among others, will go a very long way in addressing land degradation.