Testing projected wild bee distributions in agricultural habitats: predictive power depends on species traits and habitat type.

ABSTRACT: Species distribution models (SDM) are increasingly used to understand the factors that regulate variation in biodiversity patterns and to help plan conservation strategies. However, these models are rarely validated with independently collected data and it is unclear whether SDM performance is maintained across distinct habitats and for species with different functional traits. Highly mobile species, such as bees, can be particularly challenging to model. Here, we use independent sets of occurrence data collected systematically in several agricultural habitats to test how the predictive performance of SDMs for wild bee species depends on species traits, habitat type, and sampling technique. We used a species distribution modeling approach parametrized for the Netherlands, with presence rec

SUBMITTER: Marshall L 

PROVIDER: S-EPMC4667819 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature