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Tiitsaar, A, Todd, JH, Tonietto, RK, Torre, I, Tóthmérész, B, Tscharntke, T, Turner, EC, Tylianakis, JM, Uehara-Prado, M, Urbina-Cardona, N, Vallan, D, Vanbergen, AJ, Vasconcelos, HL, Vassilev, K, Verboven, HAF, Verdasca, MJ, Verdú, JR, Vergara, CH, Vergara, PM, Verhulst, J, Virgilio, M, Vu, LV, Waite, EM, Walker, TR, Wang, H-F, Wang, Y, Watling, JI, Weller, B, Wells, K, Westphal, C, Wiafe, ED, Williams, CD, Willig, MR, Woinarski, JCZ, Wolf, JHD, Wolters, V, Woodcock, BA, Wu, J, Wunderle, JM, Yamaura, Y, Yoshikura, S, Yu, DW, Zaitsev, AS, Zeidler, J, Zou, F, Collen, B, Ewers, RM, Mace, GM, Purves, DW, Scharlemann, JPW and Purvis, A (2016) The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project. Ecology and Evolution, 7 (1). 145 - 188. ISSN 2045-7758

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Abstract

The PREDICTS project-Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)-has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.

Item Type: Article
Additional Information: © 2016 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. 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.
Uncontrolled Keywords: data sharing; global biodiversity modelling; global change; habitat destruction; land use
Subjects: Q Science > Q Science (General)
Q Science > QH Natural history
Q Science > QL Zoology
Divisions: Faculty of Natural Sciences > School of Life Sciences
Related URLs:
Depositing User: Symplectic
Date Deposited: 04 Oct 2019 10:40
Last Modified: 05 Mar 2021 16:09
URI: https://eprints.keele.ac.uk/id/eprint/6978

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