Assessing habitat-suitability models with a virtual species

摘要: This paper compares two habitat-suitability assessing methods, the Ecological Niche Factor Analysis (ENFA) and Generalised Linear Model (GLM), to see how well they cope with three different scenarios. The main difference between these analyses is that GLM based on species presence/absence data while ENFA presence only. A virtual was created then dispatched in a geographic information system model of real landscape following historic scenarios: (1) spreading, (2) at equilibrium, (3) overabundant species. In each situation, sampled simulated sets were used as input for reconstruct habitat suitability model. results showed very robust quality quantity data, giving good badly affected case spreading but produced slightly better than when overabundant; both methods equivalent results. use proved be efficient method, allowing one fully control accurately evaluate predictive power analyses.