Identifying multiple wildlife species-crop interactions using network analysis

Abstract

Managing crop damage by wildlife is a complex challenge in agrarian-wildlife landscapes. Losses to farmers and their negative attitude towards crop-raiding wildlife, compromise wildlife conservation and farmer-wildlife coexistence. Priority crop types, crop-raiding wildlife and socio-ecological factors are highly integrated. Here we use cross-sectional network analysis as a conservation planning tool to simultaneously identify the croptypes used by crop-raiding wildlife, and evaluate the importance of these crop-wildlife interactions relative to the socio-ecological factors that affect these interactions. The most vulnerable crops were maize, millet and fruit trees, while the most problematic crop-raiding wildlife were African elephant, bushpig, hippo, warthog and red-billed quelea. Crop damage declined with countermeasure effectiveness, farm size, and distance from river to farm, but increased with richness of attractive crops. Undamaged crops included cash crops, such as chili, onion, ginger, lemon grass and garlic. Applying network analysis to different crops and damage scenarios enables identification of the most important and influential crops, crop-raiding wildlife and socio-ecological factors needed to develop effective crop protection strategies.