Informing conservation units: barriers to dispersal for the yellow anaconda

摘要: Aim: Fine-scale population structure is often unaccounted for in the delineation of conservation units, potentially compromising long-term species persistence. Identifying biogeographic and environmental drivers boundaries therefore key concern. We aimed to explore barriers dispersal harvested yellow anaconda (Eunectes notaeus) using an ecological niche model. Our secondary aim was test relative geographic contributions a multisource occurrence data set range predictions. Location: Paraguay River drainage, central South America. Methods: developed model Maxent set. Following nine iterations development, variables were selected inclusion. used models identify potential employed jackknifing primary that best explain barrier presence. assessed overlap built with each subset. Results: Characterization suitable habitat found be most powerful northern Argentina southern Paraguay. A persistent identified corresponded presence dry Cambisol soils. Data subsets contribute different information final terms space. Main Conclusions: Ecologically meaningful support recent genetic hypotheses subdivision. These should considered when delineating management units ensure sustainable harvest levels. Multisource sets may produce more predictions represent useful resource data-poor species. Further, results interpreted alongside complementary analyses effective strategies. © 2013 John Wiley & Sons Ltd.