A FRAMEWORK FOR ASSESSING THE RELATIVE VULNERABILITY OF SPECIES TO LAND-USE CHANGE

摘要: Conversion of native habitat to human-dominated uses is the main driver global biodiversity loss, yet which species will be most impacted, and why, remain poorly known. There thus an urgent need develop frameworks for understanding, pre- dicting, effect alteration on biodiversity. We approach with three components: a demographic model, regional database life-history traits, sensitivity analysis model predictions. use spatially explicit that predicts fate individual in landscape. The takes as parameters affinity, population growth rate, annual dispersal, dispersal behavior at edges. minimum area allows persistence species. apply community species, avifauna Costa Rica. gather data (body mass, clutch size, breeding season length, number broods per year, age first breeding, life span, distance) Rican birds. When are not available inferences made from North American European these estimate each Minimum patch sizes predicted by used specify relative degree threat faced perform size vulnerability predictions assumptions gaps data. Our robust changes agree independently derived empirical assessment. framework appears useful influencing, fates neotropical birds possibly other taxa worldwide.