Sullivan, MJP orcid.org/0000-0002-5955-0483, Pearce-Higgins, JW, Newson, SE et al. (3 more authors) (2017) A national-scale model of linear features improves predictions of farmland biodiversity. Journal of Applied Ecology, 54 (6). pp. 1776-1784. ISSN 0021-8901
Abstract
1.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. 2.We assessed whether a novel spatial dataset mapping linear and woody linear features across the UK improves the performance of abundance models of 18 bird and 24 butterfly species across 3723 and 1547 UK monitoring sites respectively. 3.Although improvements in explanatory power were small, the inclusion of linear features data significantly improved model predictive performance for many species. For some species, the importance of linear features depended on landscape context, with greater importance in agricultural areas. 4.Synthesis and applications. This study demonstrates that a national-scale model of the extent and distribution of linear features improves predictions of farmland biodiversity. The ability to model spatial variability in the role of linear features such as hedgerows will be important in targeting agri-environment schemes to maximally deliver biodiversity benefits. Although this study focuses on farmland, data on the extent of different linear features are likely to improve species distribution and abundance models in a wide range of systems, and also can potentially be used to assess habitat connectivity.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 The Authors. Journal of Applied Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Abundance model; Agriculture; Bird; Butterfly; GIS; Hedgerow; Remote sensing; Species distribution model |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Ecology & Global Change (Leeds) |
Funding Information: | Funder Grant number EU - European Union 291585 (ERC 2011 ADG) |
Depositing User: | Symplectic Publications |
Date Deposited: | 31 Mar 2017 10:57 |
Last Modified: | 05 Jan 2018 09:47 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1111/1365-2664.12912 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:114312 |