Making robust policy decisions using global biodiversity indicators

9929 9 54850 2 154029 document 54850 Making robust policy decisions using global biodiversity indicators.PDF application/pdf 0ca4beafe51762acdee62bb8f4d1dc9c MD5 282733 2016-05-09 14:24:22 https://pure.iiasa.ac.at/id/eprint/9929/1/Making%20robust%20policy%20decisions%20using%20global%20biodiversity%20indicators.PDF 9929 1 1 application/pdf text en public cc_by

Making robust policy decisions using global biodiversity indicators.PDF

published 54889 2 154081 document 54889 lightbox.jpg image/png e4be863827bf9ce1f3f5406f7ba1d16b MD5 66324 2016-05-09 14:34:54 https://pure.iiasa.ac.at/id/eprint/9929/2/lightbox.jpg 9929 2 2 image/png other Thumbnails conversion from text to thumbnail_lightbox en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/54850 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/54850 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/54850 archive 351 disk0/00/00/99/29 2016-01-15 08:46:38 2022-10-19 05:00:15 2016-01-15 08:46:38 article show Nicholson E. Collen B. Barausse A. Blanchard J.L. Costelloe B.T. Sullivan K.M.E. Underwood F.M. AL1316 Burn R.W. Fritz S. 8130 0000-0003-0420-8549 Jones J.P.G. McRae L. Possingham H.P. Milner-Gulland E.J. Making robust policy decisions using global biodiversity indicators pub iis_env prog_esm In order to influence global policy effectively, conservation scientists need to be able to provide robust predictions of the impact of alternative policies on biodiversity and measure progress towards goals using reliable indicators. We present a framework for using biodiversity indicators predictively to inform policy choices at a global level. The approach is illustrated with two case studies in which we project forwards the impacts of feasible policies on trends in biodiversity and in relevant indicators. The policies are based on targets agreed at the Convention on Biological Diversity (CBD) meeting in Nagoya in October 2010. The first case study compares protected area policies for African mammals, assessed using the Red List Index; the second example uses the Living Planet Index to assess the impact of a complete halt, versus a reduction, in bottom trawling. In the protected areas example, we find that the indicator can aid in decision-making because it is able to differentiate between the impacts of the different policies. In the bottom trawling example, the indicator exhibits some counter-intuitive behaviour, due to over-representation of some taxonomic and functional groups in the indicator, and contrasting impacts of the policies on different groups caused by trophic interactions. Our results support the need for further research on how to use predictive models and indicators to credibly track trends and inform policy. To be useful and relevant, scientists must make testable predictions about the impact of global policy on biodiversity to ensure that targets such as those set at Nagoya catalyse effective and measurable change. 2012-07-18 published Public Library of Science (PLoS) 10.1371/journal.pone.0041128 XJ-12-114 PLoS ONE; 7(7):e41128 (18 July 2012) [doi:10.1371/journal.pone.0041128] 2465 98 public PLoS ONE 7 7 e41128 TRUE 1932-6203 FALSE info:eu-repo/semantics/article