| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 8847604 | Biological Conservation | 2018 | 8 Pages | 
Abstract
												Species distribution models utilising compound variables as predictors offer a solution to the paucity of species distributional data for SLCS's, and present a valuable resource in conservation planning for such species. The importance of testing the SDMs outside of a training region to prevent prediction error is highlighted however.
											Keywords
												
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											Authors
												Sally Eaton, Christopher Ellis, David Genney, Richard Thompson, Rebecca Yahr, Daniel T. Haydon, 
											