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      Evaluating anthropogenic threats to endangered killer whales to inform effective recovery plans

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          Abstract

          Understanding cumulative effects of multiple threats is key to guiding effective management to conserve endangered species. The critically endangered, Southern Resident killer whale population of the northeastern Pacific Ocean provides a data-rich case to explore anthropogenic threats on population viability. Primary threats include: limitation of preferred prey, Chinook salmon; anthropogenic noise and disturbance, which reduce foraging efficiency; and high levels of stored contaminants, including PCBs. We constructed a population viability analysis to explore possible demographic trajectories and the relative importance of anthropogenic stressors. The population is fragile, with no growth projected under current conditions, and decline expected if new or increased threats are imposed. Improvements in fecundity and calf survival are needed to reach a conservation objective of 2.3% annual population growth. Prey limitation is the most important factor affecting population growth. However, to meet recovery targets through prey management alone, Chinook abundance would have to be sustained near the highest levels since the 1970s. The most optimistic mitigation of noise and contaminants would make the difference between a declining and increasing population, but would be insufficient to reach recovery targets. Reducing acoustic disturbance by 50% combined with increasing Chinook by 15% would allow the population to reach 2.3% growth.

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          Interactions among ecosystem stressors and their importance in conservation.

          Interactions between multiple ecosystem stressors are expected to jeopardize biological processes, functions and biodiversity. The scientific community has declared stressor interactions-notably synergies-a key issue for conservation and management. Here, we review ecological literature over the past four decades to evaluate trends in the reporting of ecological interactions (synergies, antagonisms and additive effects) and highlight the implications and importance to conservation. Despite increasing popularity, and ever-finer terminologies, we find that synergies are (still) not the most prevalent type of interaction, and that conservation practitioners need to appreciate and manage for all interaction outcomes, including antagonistic and additive effects. However, it will not be possible to identify the effect of every interaction on every organism's physiology and every ecosystem function because the number of stressors, and their potential interactions, are growing rapidly. Predicting the type of interactions may be possible in the near-future, using meta-analyses, conservation-oriented experiments and adaptive monitoring. Pending a general framework for predicting interactions, conservation management should enact interventions that are robust to uncertainty in interaction type and that continue to bolster biological resilience in a stressful world.
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            Population Viability Analysis

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              Realistic levels of inbreeding depression strongly affect extinction risk in wild populations

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                Author and article information

                Contributors
                rlacy@ix.netcom.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                26 October 2017
                26 October 2017
                2017
                : 7
                : 14119
                Affiliations
                [1 ]ISNI 0000 0001 2165 372X, GRID grid.472876.8, Chicago Zoological Society, ; Brookfield, IL 60513 USA
                [2 ]Oceans Initiative, Seattle, WA 98102 USA
                [3 ]Center for Whale Research, Friday Harbor, WA 98250 USA
                [4 ]ISNI 0000 0004 1936 8024, GRID grid.8391.3, College of Life & Environmental Sciences, University of Exeter, Exeter, ; Devon, EX4 4QG UK
                [5 ]ISNI 000000041936877X, GRID grid.5386.8, Cornell Lab of Ornithology, Cornell University, ; Ithaca, NY 14850 USA
                [6 ]GRID grid.423605.6, Raincoast Conservation Foundation, ; Sidney, BC V8L 3Y3 Canada
                [7 ]ISNI 0000 0004 1936 9465, GRID grid.143640.4, University of Victoria, ; Victoria, BC V8P 5C2 Canada
                Author information
                http://orcid.org/0000-0002-1202-1939
                http://orcid.org/0000-0001-6869-5097
                Article
                14471
                10.1038/s41598-017-14471-0
                5658391
                29074942
                041afaae-8775-474c-b3f4-050830d892a1
                © The Author(s) 2017

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 29 March 2017
                : 11 October 2017
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