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      Ecology of conflict: marine food supply affects human-wildlife interactions on land

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          Abstract

          Human-wildlife conflicts impose considerable costs to people and wildlife worldwide. Most research focuses on proximate causes, offering limited generalizable understanding of ultimate drivers. We tested three competing hypotheses (problem individuals, regional population saturation, limited food supply) that relate to underlying processes of human-grizzly bear ( Ursus arctos horribilis) conflict, using data from British Columbia, Canada, between 1960–2014. We found most support for the limited food supply hypothesis: in bear populations that feed on spawning salmon ( Oncorhynchus spp.), the annual number of bears/km 2 killed due to conflicts with humans increased by an average of 20% (6–32% [95% CI]) for each 50% decrease in annual salmon biomass. Furthermore, we found that across all bear populations (with or without access to salmon), 81% of attacks on humans and 82% of conflict kills occurred after the approximate onset of hyperphagia (July 1 st), a period of intense caloric demand. Contrary to practices by many management agencies, conflict frequency was not reduced by hunting or removal of problem individuals. Our finding that a marine resource affects terrestrial conflict suggests that evidence-based policy for reducing harm to wildlife and humans requires not only insight into ultimate drivers of conflict, but also management that spans ecosystem and jurisdictional boundaries.

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          Behavioral decisions made under the risk of predation: a review and prospectus

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            Animal personalities: consequences for ecology and evolution.

            Personality differences are a widespread phenomenon throughout the animal kingdom. Past research has focused on the characterization of such differences and a quest for their proximate and ultimate causation. However, the consequences of these differences for ecology and evolution received much less attention. Here, we strive to fill this gap by providing a comprehensive inventory of the potential implications of personality differences, ranging from population growth and persistence to species interactions and community dynamics, and covering issues such as social evolution, the speed of evolution, evolvability, and speciation. The emerging picture strongly suggests that personality differences matter for ecological and evolutionary processes (and their interaction) and, thus, should be considered a key dimension of ecologically and evolutionarily relevant intraspecific variation. Copyright © 2012 Elsevier Ltd. All rights reserved.
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              Scaling regression inputs by dividing by two standard deviations.

              Interpretation of regression coefficients is sensitive to the scale of the inputs. One method often used to place input variables on a common scale is to divide each numeric variable by its standard deviation. Here we propose dividing each numeric variable by two times its standard deviation, so that the generic comparison is with inputs equal to the mean +/-1 standard deviation. The resulting coefficients are then directly comparable for untransformed binary predictors. We have implemented the procedure as a function in R. We illustrate the method with two simple analyses that are typical of applied modeling: a linear regression of data from the National Election Study and a multilevel logistic regression of data on the prevalence of rodents in New York City apartments. We recommend our rescaling as a default option--an improvement upon the usual approach of including variables in whatever way they are coded in the data file--so that the magnitudes of coefficients can be directly compared as a matter of routine statistical practice. (c) 2007 John Wiley & Sons, Ltd.
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                Author and article information

                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group
                2045-2322
                17 May 2016
                2016
                : 6
                : 25936
                Affiliations
                [1 ]Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, 8888 University Drive , Burnaby, British Columbia, Canada, V5A 1S6
                [2 ]Raincoast Conservation Foundation , PO Box 2429, Sidney, British Columbia, Canada, V8L 3Y3
                [3 ]Hakai Institute , PO Box 309, Heriot Bay, British Columbia, Canada, V0P 1H0
                [4 ]School of Resource and Environmental Management, Simon Fraser University, 8888 University Drive , Burnaby, British Columbia, Canada, V5A 1S6
                [5 ]Department of Geography, University of Victoria , PO Box 1700 STN CSC, Victoria, British Columbia, Canada, V8W 2Y2
                Author notes
                Article
                srep25936
                10.1038/srep25936
                4869031
                27185189
                830e2420-55bd-4262-9c5f-7eb4e129bbeb
                Copyright © 2016, Macmillan Publishers Limited

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 11 October 2015
                : 22 April 2016
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