Advances in global sensitivity analyses of demographic-based species distribution models to address uncertainties in dynamic landscapes.

ABSTRACT: Developing a rigorous understanding of multiple global threats to species persistence requires the use of integrated modeling methods that capture processes which influence species distributions. Species distribution models (SDMs) coupled with population dynamics models can incorporate relationships between changing environments and demographics and are increasingly used to quantify relative extinction risks associated with climate and land-use changes. Despite their appeal, uncertainties associated with complex models can undermine their usefulness for advancing predictive ecology and informing conservation management decisions. We developed a computationally-efficient and freely available tool (GRIP 2.0) that implements and automates a global sensitivity analysis of coupled SDM-populatio

SUBMITTER: Naujokaitis-Lewis I 

PROVIDER: S-EPMC4958004 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature