Improving niche and range estimates with Maxent and point process models by integrating spatially explicit information

摘要

Aim Accurate spatial information on species occurrence is essential to address global change. Models for presence-only data are central to predicting species distributions because these represent the only geographical information available for many species. In this paper we introduce extensions to incorporate a variety of types of additional spatially explicit sources of information in Maxent and Poisson point process models. This spatial information comes from the output of other statistical or conceptual models.