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      Human disturbance in riparian areas disrupts predator–prey interactions between grizzly bears and salmon

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          Abstract

          Wildlife must increasingly balance trade‐offs between the need to access important foods and the mortality risks associated with human‐dominated landscapes. Human disturbance can profoundly influence wildlife behavior, but managers know little about the relationship between disturbance–behavior dynamics and associated consequences for foraging. We address this gap by empirically investigating the consequences of human activity on a keystone predator–prey interaction in a region with limited but varied industrial disturbance. Using stable isotope data from 226 hair samples of grizzly bears ( Ursus arctos horribilis) collected from 1995 to 2014 across 22 salmon‐bearing watersheds (88,000 km 2) in British Columbia, Canada, we examined how human activity influenced their consumption of spawning salmon ( Oncorhynchus spp.), a fitness‐related food. Accounting for the abundance of salmon and other foods, salmon consumption strongly decreased (up to 59% for females) with increasing human disturbance (as measured by the human footprint index) in riparian zones of salmon‐bearing rivers. Declines in salmon consumption occurred with disturbance even in watersheds with low footprints. In a region currently among the least influenced by industrial activity, intensification of disturbance in river valleys is predicted to increasingly decouple bears from salmon, possibly driving associated reductions in population productivity and provisioning of salmon nutrients to terrestrial ecosystems. Accordingly, we draw on our results to make landscape‐scale and access‐related management recommendations beyond current streamside protection buffers. This work illustrates the interaction between habitat modification and food security for wildlife, highlighting the potential for unacknowledged interactions and cumulative effects in increasingly modified landscapes.

          Abstract

          We investigated potential drivers of salmon consumption by bears in interior and coastal watersheds that varied in levels of disturbance. We found that human footprint in riparian areas of salmon‐bearing watersheds affected bear diets more than the amount of salmon biomass available, showing that human activity can disrupt an otherwise strong predator–prey association.

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          Generalized linear mixed models: a practical guide for ecology and evolution.

          How should ecologists and evolutionary biologists analyze nonnormal data that involve random effects? Nonnormal data such as counts or proportions often defy classical statistical procedures. Generalized linear mixed models (GLMMs) provide a more flexible approach for analyzing nonnormal data when random effects are present. The explosion of research on GLMMs in the last decade has generated considerable uncertainty for practitioners in ecology and evolution. Despite the availability of accurate techniques for estimating GLMM parameters in simple cases, complex GLMMs are challenging to fit and statistical inference such as hypothesis testing remains difficult. We review the use (and misuse) of GLMMs in ecology and evolution, discuss estimation and inference and summarize 'best-practice' data analysis procedures for scientists facing this challenge.
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            Trophic downgrading of planet Earth.

            Until recently, large apex consumers were ubiquitous across the globe and had been for millions of years. The loss of these animals may be humankind's most pervasive influence on nature. Although such losses are widely viewed as an ethical and aesthetic problem, recent research reveals extensive cascading effects of their disappearance in marine, terrestrial, and freshwater ecosystems worldwide. This empirical work supports long-standing theory about the role of top-down forcing in ecosystems but also highlights the unanticipated impacts of trophic cascades on processes as diverse as the dynamics of disease, wildfire, carbon sequestration, invasive species, and biogeochemical cycles. These findings emphasize the urgent need for interdisciplinary research to forecast the effects of trophic downgrading on process, function, and resilience in global ecosystems.
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              Simple means to improve the interpretability of regression coefficients

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                Author and article information

                Contributors
                megan.s.adams@gmail.com
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                19 March 2024
                March 2024
                : 14
                : 3 ( doiID: 10.1002/ece3.v14.3 )
                : e11058
                Affiliations
                [ 1 ] Department of Geography University of Victoria Victoria British Columbia Canada
                [ 2 ] Raincoast Conservation Foundation Sidney British Columbia Canada
                [ 3 ] Hakai Institute Campbell River British Columbia Canada
                [ 4 ] Central Coast Indigenous Resource Alliance Campbell River British Columbia Canada
                [ 5 ] Department of Fisheries and Wildlife Oregon State University Corvallis Oregon USA
                [ 6 ] Department of Earth, Environmental and Geographic Sciences University of British Columbia Okanagan Kelowna British Columbia Canada
                [ 7 ] Kitasoo Xai'xais Stewardship Authority, Kitasoo Xai'xais First Nation Klemtu British Columbia Canada
                [ 8 ] School of Environmental Studies University of Victoria Victoria British Columbia Canada
                [ 9 ] Department of Environmental Biology, and Center for Native Peoples and the Environment State University of New York, College of Environmental Science and Forestry Syracuse New York USA
                [ 10 ] Department of Ecosystem Science and Management University of Northern British Columbia Prince George British Columbia Canada
                [ 11 ] Department of Geography University of California Santa Barbara Santa Barbara California USA
                Author notes
                [*] [* ] Correspondence

                Megan S. Adams, Central Coast Indigenous Resource Alliance, Campbell River, BC, Canada.

                Email: megan.s.adams@ 123456gmail.com

                Author information
                https://orcid.org/0000-0003-3586-774X
                https://orcid.org/0000-0001-7448-7251
                Article
                ECE311058 ECE-2023-10-01903.R1
                10.1002/ece3.11058
                10950355
                38505181
                c5617046-4f11-4d84-be35-9fbd6e893041
                © 2024 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 01 February 2024
                : 01 November 2023
                : 06 February 2024
                Page count
                Figures: 5, Tables: 1, Pages: 12, Words: 9254
                Funding
                Funded by: Wilburforce Foundation , doi 10.13039/100001393;
                Funded by: SkyeMikko Foundation
                Funded by: Mitacs , doi 10.13039/501100004489;
                Award ID: IT12110
                Funded by: Natural Sciences and Engineering Research Council of Canada , doi 10.13039/501100000038;
                Award ID: 435683
                Categories
                Behavioural Ecology
                Research Article
                Research Articles
                Custom metadata
                2.0
                March 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.9 mode:remove_FC converted:19.03.2024

                Evolutionary Biology
                fragmentation,human disturbance,land‐use planning,oncorhynchus,riparian habitat,ursus

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