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Salmonid species diversity predicts salmon consumption by terrestrial wildlife

1. Resource waves—spatial variation in resource phenology that extends feeding opportunities for mobile consumers—can affect the behaviour and productivity of recipient populations. Interspecific diversity among Pacific salmon species (Oncorhynchus spp.) creates staggered spawning events across spac...

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Autores principales: Service, Christina N., Bateman, Andrew W., Adams, Megan S., Artelle, Kyle A., Reimchen, Thomas E., Paquet, Paul C., Darimont, Chris T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6850012/
https://www.ncbi.nlm.nih.gov/pubmed/30618046
http://dx.doi.org/10.1111/1365-2656.12932
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author Service, Christina N.
Bateman, Andrew W.
Adams, Megan S.
Artelle, Kyle A.
Reimchen, Thomas E.
Paquet, Paul C.
Darimont, Chris T.
author_facet Service, Christina N.
Bateman, Andrew W.
Adams, Megan S.
Artelle, Kyle A.
Reimchen, Thomas E.
Paquet, Paul C.
Darimont, Chris T.
author_sort Service, Christina N.
collection PubMed
description 1. Resource waves—spatial variation in resource phenology that extends feeding opportunities for mobile consumers—can affect the behaviour and productivity of recipient populations. Interspecific diversity among Pacific salmon species (Oncorhynchus spp.) creates staggered spawning events across space and time, thereby prolonging availability to terrestrial wildlife. 2. We sought to understand how such variation might influence consumption by terrestrial predators compared with resource abundance and intra‐ and interspecific competition. 3. Using stable isotope analysis, we investigated how the proportion of salmon in the annual diet of male black bears (Ursus americanus; n = 405) varies with species diversity and density of spawning salmon biomass, while also accounting for competition with sympatric black and grizzly bears (U. arctos horribilis), in coastal British Columbia, Canada. 4. We found that the proportion of salmon in the annual diet of black bears was ≈40% higher in the absence of grizzly bears, but detected little effect of relative black bear density and salmon biomass density. Rather, salmon diversity had the largest positive effect on consumption. On average, increasing diversity from one salmon species to ~four (with equal biomass contributions) approximately triples the proportion of salmon in diet. 5. Given the importance of salmon to bear life histories, this work provides early empirical support for how resource waves may increase the productivity of consumers at population and landscape scales. Accordingly, terrestrial wildlife management might consider maintaining not only salmon abundance but also diversity.
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spelling pubmed-68500122019-11-15 Salmonid species diversity predicts salmon consumption by terrestrial wildlife Service, Christina N. Bateman, Andrew W. Adams, Megan S. Artelle, Kyle A. Reimchen, Thomas E. Paquet, Paul C. Darimont, Chris T. J Anim Ecol Trophic Interactions 1. Resource waves—spatial variation in resource phenology that extends feeding opportunities for mobile consumers—can affect the behaviour and productivity of recipient populations. Interspecific diversity among Pacific salmon species (Oncorhynchus spp.) creates staggered spawning events across space and time, thereby prolonging availability to terrestrial wildlife. 2. We sought to understand how such variation might influence consumption by terrestrial predators compared with resource abundance and intra‐ and interspecific competition. 3. Using stable isotope analysis, we investigated how the proportion of salmon in the annual diet of male black bears (Ursus americanus; n = 405) varies with species diversity and density of spawning salmon biomass, while also accounting for competition with sympatric black and grizzly bears (U. arctos horribilis), in coastal British Columbia, Canada. 4. We found that the proportion of salmon in the annual diet of black bears was ≈40% higher in the absence of grizzly bears, but detected little effect of relative black bear density and salmon biomass density. Rather, salmon diversity had the largest positive effect on consumption. On average, increasing diversity from one salmon species to ~four (with equal biomass contributions) approximately triples the proportion of salmon in diet. 5. Given the importance of salmon to bear life histories, this work provides early empirical support for how resource waves may increase the productivity of consumers at population and landscape scales. Accordingly, terrestrial wildlife management might consider maintaining not only salmon abundance but also diversity. John Wiley and Sons Inc. 2019-01-07 2019-03 /pmc/articles/PMC6850012/ /pubmed/30618046 http://dx.doi.org/10.1111/1365-2656.12932 Text en © 2018 The Authors. Journal of Animal Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Trophic Interactions
Service, Christina N.
Bateman, Andrew W.
Adams, Megan S.
Artelle, Kyle A.
Reimchen, Thomas E.
Paquet, Paul C.
Darimont, Chris T.
Salmonid species diversity predicts salmon consumption by terrestrial wildlife
title Salmonid species diversity predicts salmon consumption by terrestrial wildlife
title_full Salmonid species diversity predicts salmon consumption by terrestrial wildlife
title_fullStr Salmonid species diversity predicts salmon consumption by terrestrial wildlife
title_full_unstemmed Salmonid species diversity predicts salmon consumption by terrestrial wildlife
title_short Salmonid species diversity predicts salmon consumption by terrestrial wildlife
title_sort salmonid species diversity predicts salmon consumption by terrestrial wildlife
topic Trophic Interactions
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6850012/
https://www.ncbi.nlm.nih.gov/pubmed/30618046
http://dx.doi.org/10.1111/1365-2656.12932
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