Ontology highlight
ABSTRACT: Aim
Decisions on wildlife conservation, management, and epidemiological risk are best based on robust evidence. The continual improvement of species distributions, such that they can be relied upon in decision-making, is important. Here we seek to refine aspects of a generic modelling approach and improve the utility of species distribution maps.Location
Great Britain (GB).Methods
We applied a modeling framework based on hierarchical Bayesian species distribution models exploiting opportunistic occurrence records from citizen science datasets to predict both current and potential distributions for each of the six deer species known to be present in GB. Using the resulting maps, we performed a simple analysis of the overlap between species to illustrate possible cont
SUBMITTER: Croft S
PROVIDER: S-EPMC6686353 | biostudies-literature | 2019 Aug
REPOSITORIES: biostudies-literature