Moilanen, Atte, Franco, Aldina M. A. ORCID: https://orcid.org/0000-0001-6055-7378, Early, Regan I., Fox, Richard, Wintle, Brendan and Thomas, Chris D. (2005) Prioritizing multiple-use landscapes for conservation: Methods for large multi-species planning problems. Proceedings of the Royal Society B: Biological Sciences, 272 (1575). pp. 1885-1891. ISSN 0962-8452
Full text not available from this repository. (Request a copy)Abstract
Across large parts of the world, wildlife has to coexist with human activity in highly modified and fragmented landscapes. Combining concepts from population viability analysis and spatial reserve design, this study develops efficient quantitative methods for identifying conservation core areas at large, even national or continental scales. The proposed methods emphasize long-term population persistence, are applicable to both fragmented and natural landscape structures, and produce a hierarchical zonation of regional conservation priority. The methods are applied to both observational data for threatened butterflies at the scale of Britain and modelled probability of occurrence surfaces for indicator species in part of Australia. In both cases, priority landscapes important for conservation management are identified.
Item Type: | Article |
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Additional Information: | Funding information: This study was funded by the Academy of Finland, NERC/UKPopNet, and the Countryside Council for Wales. |
Faculty \ School: | Faculty of Science > School of Environmental Sciences University of East Anglia Research Groups/Centres > Theme - ClimateUEA |
UEA Research Groups: | Faculty of Science > Research Centres > Centre for Ecology, Evolution and Conservation Faculty of Science > Research Groups > Environmental Biology Faculty of Science > Research Groups > Resources, Sustainability and Governance (former - to 2018) |
Depositing User: | Rosie Cullington |
Date Deposited: | 19 May 2011 13:11 |
Last Modified: | 24 Sep 2024 09:58 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/31073 |
DOI: | 10.1098/rspb.2005.3164 |
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