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Consistent temperature dependence of functional response parameters and their use in predicting population abundance

1. Global warming is one of the greatest threats to the persistence of populations: increased metabolic demands should strengthen pairwise species interactions, which could destabilize food webs at the higher organizational levels. Quantifying the temperature dependence of consumer–resource interact...

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Autores principales: Archer, Louise C., Sohlström, Esra H., Gallo, Bruno, Jochum, Malte, Woodward, Guy, Kordas, Rebecca L., Rall, Björn C., O’Gorman, Eoin J.
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/PMC6899737/
https://www.ncbi.nlm.nih.gov/pubmed/31283002
http://dx.doi.org/10.1111/1365-2656.13060
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author Archer, Louise C.
Sohlström, Esra H.
Gallo, Bruno
Jochum, Malte
Woodward, Guy
Kordas, Rebecca L.
Rall, Björn C.
O’Gorman, Eoin J.
author_facet Archer, Louise C.
Sohlström, Esra H.
Gallo, Bruno
Jochum, Malte
Woodward, Guy
Kordas, Rebecca L.
Rall, Björn C.
O’Gorman, Eoin J.
author_sort Archer, Louise C.
collection PubMed
description 1. Global warming is one of the greatest threats to the persistence of populations: increased metabolic demands should strengthen pairwise species interactions, which could destabilize food webs at the higher organizational levels. Quantifying the temperature dependence of consumer–resource interactions is thus essential for predicting ecological responses to warming. 2. We explored feeding interactions between different predator–prey pairs in controlled‐temperature chambers and in a system of naturally heated streams. We found consistent temperature dependence of attack rates across experimental settings, though the magnitude and activation energy of attack rate were specific to each predator, which varied in mobility and foraging mode. 3. We used these parameters along with metabolic rate measurements to estimate energetic efficiency and population abundance with warming. Energetic efficiency accurately estimated field abundance of a mobile predator that struggled to meet its metabolic demands, but was a poor predictor for a sedentary predator that operated well below its energetic limits. Temperature effects on population abundance may thus be strongly dependent on whether organisms are regulated by their own energy intake or interspecific interactions. 4. Given the widespread use of functional response parameters in ecological modelling, reconciling outcomes from laboratory and field studies increases the confidence and precision with which we can predict warming impacts on natural systems.
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spelling pubmed-68997372019-12-19 Consistent temperature dependence of functional response parameters and their use in predicting population abundance Archer, Louise C. Sohlström, Esra H. Gallo, Bruno Jochum, Malte Woodward, Guy Kordas, Rebecca L. Rall, Björn C. O’Gorman, Eoin J. J Anim Ecol Trophic Interactions 1. Global warming is one of the greatest threats to the persistence of populations: increased metabolic demands should strengthen pairwise species interactions, which could destabilize food webs at the higher organizational levels. Quantifying the temperature dependence of consumer–resource interactions is thus essential for predicting ecological responses to warming. 2. We explored feeding interactions between different predator–prey pairs in controlled‐temperature chambers and in a system of naturally heated streams. We found consistent temperature dependence of attack rates across experimental settings, though the magnitude and activation energy of attack rate were specific to each predator, which varied in mobility and foraging mode. 3. We used these parameters along with metabolic rate measurements to estimate energetic efficiency and population abundance with warming. Energetic efficiency accurately estimated field abundance of a mobile predator that struggled to meet its metabolic demands, but was a poor predictor for a sedentary predator that operated well below its energetic limits. Temperature effects on population abundance may thus be strongly dependent on whether organisms are regulated by their own energy intake or interspecific interactions. 4. Given the widespread use of functional response parameters in ecological modelling, reconciling outcomes from laboratory and field studies increases the confidence and precision with which we can predict warming impacts on natural systems. John Wiley and Sons Inc. 2019-08-09 2019-11 /pmc/articles/PMC6899737/ /pubmed/31283002 http://dx.doi.org/10.1111/1365-2656.13060 Text en © 2019 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/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Trophic Interactions
Archer, Louise C.
Sohlström, Esra H.
Gallo, Bruno
Jochum, Malte
Woodward, Guy
Kordas, Rebecca L.
Rall, Björn C.
O’Gorman, Eoin J.
Consistent temperature dependence of functional response parameters and their use in predicting population abundance
title Consistent temperature dependence of functional response parameters and their use in predicting population abundance
title_full Consistent temperature dependence of functional response parameters and their use in predicting population abundance
title_fullStr Consistent temperature dependence of functional response parameters and their use in predicting population abundance
title_full_unstemmed Consistent temperature dependence of functional response parameters and their use in predicting population abundance
title_short Consistent temperature dependence of functional response parameters and their use in predicting population abundance
title_sort consistent temperature dependence of functional response parameters and their use in predicting population abundance
topic Trophic Interactions
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6899737/
https://www.ncbi.nlm.nih.gov/pubmed/31283002
http://dx.doi.org/10.1111/1365-2656.13060
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