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A national‐scale model of linear features improves predictions of farmland biodiversity

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Modelling species distribution and abundance is important for many conservation applications, but it is typically performed using relatively coarse‐scale environmental variables such as the area of broad land‐cover types. Fine‐scale environmental data capturing the most biologically relevant variables have the potential to improve these models. For example, field studies have demonstrated the importance of linear features, such as hedgerows, for multiple taxa, but the absence of large‐scale datasets of their extent prevents their inclusion in large‐scale modelling studies.
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Keywords: GIS; Hedgerow; abundance model; agriculture; bird; butterfly; remote sensing; species distribution model

Document Type: Research Article

Publication date: December 1, 2017

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