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Functional and numerical responses of shrews to competition vary with mouse density

For decades, ecologists have debated the importance of biotic interactions (e.g., competition) and abiotic factors in regulating populations. Competition can influence patterns of distribution, abundance, and resource use in many systems but remains difficult to measure. We quantified competition be...

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Autores principales: Eckrich, Carolyn A., Flaherty, Elizabeth A., Ben-David, Merav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5752000/
https://www.ncbi.nlm.nih.gov/pubmed/29298313
http://dx.doi.org/10.1371/journal.pone.0189471
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author Eckrich, Carolyn A.
Flaherty, Elizabeth A.
Ben-David, Merav
author_facet Eckrich, Carolyn A.
Flaherty, Elizabeth A.
Ben-David, Merav
author_sort Eckrich, Carolyn A.
collection PubMed
description For decades, ecologists have debated the importance of biotic interactions (e.g., competition) and abiotic factors in regulating populations. Competition can influence patterns of distribution, abundance, and resource use in many systems but remains difficult to measure. We quantified competition between two sympatric small mammals, Keen’s mice (Peromyscus keeni) and dusky shrews (Sorex monticolus), in four habitat types on Prince of Wales Island in Southeast Alaska. We related shrew density to that of mice using standardized regression models while accounting for habitat variables in each year from 2010–2012, during which mice populations peaked (2011) and then crashed (2012). Additionally, we measured dietary overlap and segregation using stable isotope analysis and kernel utilization densities and estimated the change in whole community energy consumption among years. We observed an increase in densities of dusky shrews after mice populations crashed in 2012 as expected under competitive release. In addition, competition coefficients revealed that the influence of Keen’s mice was dependent on their density. Also in 2012, shrew diets shifted, indicating that they were able to exploit resources previously used by mice. Nonetheless, increases in shrew numbers only partially compensated for the community energy consumption because, as insectivores, they are unlikely to utilize all food types consumed by their competitors. In pre-commercially thinned stands, which exhibit higher diversity of resources compared to other habitat types, shrew populations were less affected by changes in mice densities. These spatially and temporally variable interactions between unlikely competitors, observed in a relatively simple, high-latitude island ecosystem, highlight the difficulty in assessing the role of biotic factors in structuring communities.
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spelling pubmed-57520002018-01-09 Functional and numerical responses of shrews to competition vary with mouse density Eckrich, Carolyn A. Flaherty, Elizabeth A. Ben-David, Merav PLoS One Research Article For decades, ecologists have debated the importance of biotic interactions (e.g., competition) and abiotic factors in regulating populations. Competition can influence patterns of distribution, abundance, and resource use in many systems but remains difficult to measure. We quantified competition between two sympatric small mammals, Keen’s mice (Peromyscus keeni) and dusky shrews (Sorex monticolus), in four habitat types on Prince of Wales Island in Southeast Alaska. We related shrew density to that of mice using standardized regression models while accounting for habitat variables in each year from 2010–2012, during which mice populations peaked (2011) and then crashed (2012). Additionally, we measured dietary overlap and segregation using stable isotope analysis and kernel utilization densities and estimated the change in whole community energy consumption among years. We observed an increase in densities of dusky shrews after mice populations crashed in 2012 as expected under competitive release. In addition, competition coefficients revealed that the influence of Keen’s mice was dependent on their density. Also in 2012, shrew diets shifted, indicating that they were able to exploit resources previously used by mice. Nonetheless, increases in shrew numbers only partially compensated for the community energy consumption because, as insectivores, they are unlikely to utilize all food types consumed by their competitors. In pre-commercially thinned stands, which exhibit higher diversity of resources compared to other habitat types, shrew populations were less affected by changes in mice densities. These spatially and temporally variable interactions between unlikely competitors, observed in a relatively simple, high-latitude island ecosystem, highlight the difficulty in assessing the role of biotic factors in structuring communities. Public Library of Science 2018-01-03 /pmc/articles/PMC5752000/ /pubmed/29298313 http://dx.doi.org/10.1371/journal.pone.0189471 Text en © 2018 Eckrich et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Eckrich, Carolyn A.
Flaherty, Elizabeth A.
Ben-David, Merav
Functional and numerical responses of shrews to competition vary with mouse density
title Functional and numerical responses of shrews to competition vary with mouse density
title_full Functional and numerical responses of shrews to competition vary with mouse density
title_fullStr Functional and numerical responses of shrews to competition vary with mouse density
title_full_unstemmed Functional and numerical responses of shrews to competition vary with mouse density
title_short Functional and numerical responses of shrews to competition vary with mouse density
title_sort functional and numerical responses of shrews to competition vary with mouse density
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5752000/
https://www.ncbi.nlm.nih.gov/pubmed/29298313
http://dx.doi.org/10.1371/journal.pone.0189471
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