A. Townsend Peterson

TL;DR: This work proposes a complementary approach, based on the increased availability of raw data about occurrences of species, cutting-edge modeling techniques for estimating distributional areas, and land-use information based on remotely sensed data to allow estimation of rates of range loss for species affected by land- use conversion.

TL;DR: ENM predicted potential ranges of carp species accurately even in regions where the species have not been present until recently and can forecast species' potential geographic ranges with reasonable precision and within the short screening time required by proposed U.S. invasive species legislation.

TL;DR: In this article, the authors used point-occurrence data and digital maps summarizing relevant environmental parameters to generate predictions for the species' geographic distributional potential, specifically, they modeled the native range of siamweed in the Neotropics using the genetic algorithm for rule-set prediction, an evolutionary computing approach.

TL;DR: Using simulations, the authors show that spatio-temporal climatic changes recapitulate the patterns of vertebrate biodiversity as a function of speciation, extinction and dispersal alone, and show that major global biodiversity patterns can derive from interactions of species’ niches across complex, existing landscapes, without invoking biotic interactions or niche-related adaptations.

TL;DR: It is suggested that areas predicted by spatially stratified tests of ecological niche models as suitable for DF could be considered as at-risk, and could be used to guide campaigns for DF prevention in these municipalities.