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      Shoot, shovel and shut up: cryptic poaching slows restoration of a large carnivore in Europe

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          Abstract

          Poaching is a widespread and well-appreciated problem for the conservation of many threatened species. Because poaching is illegal, there is strong incentive for poachers to conceal their activities, and consequently, little data on the effects of poaching on population dynamics are available. Quantifying poaching mortality should be a required knowledge when developing conservation plans for endangered species but is hampered by methodological challenges. We show that rigorous estimates of the effects of poaching relative to other sources of mortality can be obtained with a hierarchical state–space model combined with multiple sources of data. Using the Scandinavian wolf ( Canis lupus) population as an illustrative example, we show that poaching accounted for approximately half of total mortality and more than two-thirds of total poaching remained undetected by conventional methods, a source of mortality we term as ‘cryptic poaching’. Our simulations suggest that without poaching during the past decade, the population would have been almost four times as large in 2009. Such a severe impact of poaching on population recovery may be widespread among large carnivores. We believe that conservation strategies for large carnivores considering only observed data may not be adequate and should be revised by including and quantifying cryptic poaching.

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          Simulation Run Length Control in the Presence of an Initial Transient

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            New frontiers in biologging science.

            The term 'biologging' refers to the use of miniaturized animal-attached tags for logging and/or relaying of data about an animal's movements, behaviour, physiology and/or environment. Biologging technology substantially extends our abilities to observe, and take measurements from, free-ranging, undisturbed subjects, providing much scope for advancing both basic and applied biological research. Here, we review highlights from the third international conference on biologging science, which was held in California, USA, from 1 to 5 September 2008. Over the last few years, considerable progress has been made with a range of recording technologies as well as with the management, visualization, integration and analysis of increasingly large and complex biologging datasets. Researchers use these techniques to study animal biology with an unprecedented level of detail and across the full range of ecological scales-from the split-second decision making of individuals to the long-term dynamics of populations, and even entire communities. We conclude our report by suggesting some directions for future research.
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              Human behaviour: the key source of uncertainty in fisheries management

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                Author and article information

                Journal
                Proc Biol Sci
                RSPB
                royprsb
                Proceedings of the Royal Society B: Biological Sciences
                The Royal Society
                0962-8452
                1471-2954
                7 March 2012
                17 August 2011
                17 August 2011
                : 279
                : 1730
                : 910-915
                Affiliations
                [1 ]Grimsö Wildlife Research Station, Department of Ecology, simpleSwedish University of Agricultural Sciences , 73091 Riddarhyttan, Sweden
                [2 ]Department of Applied Ecology and Agricultural Sciences, simpleHedmark University College , Evenstad 2480, Koppang, Norway
                [3 ]simpleNorwegian Institute for Nature Research , Tungasletta 2, 7485 Trondheim, Norway
                [4 ]Natural Resource Ecology Laboratory and Graduate Degree Program in Ecology, simpleColorado State University , Fort Collins, CO 80523, USA
                Author notes
                [* ]Author for correspondence ( olof.liberg@ 123456slu.se ).
                [†]

                The first two authors contributed equally to this work.

                Article
                rspb20111275
                10.1098/rspb.2011.1275
                3259920
                21849323
                8fb8280b-d4b9-4034-ae1f-dec243f7b5bc
                This journal is © 2011 The Royal Society

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 18 June 2011
                : 26 July 2011
                Categories
                1001
                60
                Research Articles

                Life sciences
                wolf,canis lupus,state–space models,conservation,poaching
                Life sciences
                wolf, canis lupus, state–space models, conservation, poaching

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