Adaptive capacity assessment of wheat farmers Towards dust (Case Study: dehloran township)

the purpose of this study was to assess the adaptive capacity of farmers towards dust. The population in this study comprised of wheat farmers (N = 2105) in which 330 wheat farmers from Markazi and Moosian townships were selected using stratified proportionate cluster sampling techniques. The first To assess farmer's adaptive capacity towards dust was used as indicators of adaptive capacity. Using AHP techniques, 15 experts weighted the indicators through 2*2 matrices and Expert Choice Software was utilized as tool for further analysis. Composite indicators were then developed for further assessments. Fuzzy logic and MATLAB Software was used to determine the adaptive capacity of wheat farmers. Result revealed that wheat farmers the Adaptive capacity of Dasht Abas Rural district Farmers with the rate of 0.605 had the highest Adaptive capacity and Nahr anbar Rural district with rate of 0.508 and Anaran Rural district with rate of 0.563 were placed in second and third place. The implication of this study aids policy-makers in Dehloran Township to allocated resources based on farmers vulnerability level. Furthermore, the result of this study helps policy-makers to plan for enhancement of farmer's adaptive capacities and thus lowering their vulnerability towards dust.