Populations of high-value predators reflect the traits of their prey
<jats:p>The extent to which prey traits combine to influence the abundance of predators is still poorly understood, particularly for mixed predators in sympatry and in aquatic ecosystems. In this study, we characterise prey use and distribution in iconic bird (grey wagtails and Eurasian dipper...
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ftunivcam:oai:www.repository.cam.ac.uk:1810/322401 2024-01-14T10:05:27+01:00 Populations of high-value predators reflect the traits of their prey Gutiérrez-Cánovas, C Worthington, TA Jâms, IB Noble, DG Perkins, DM Vaughan, IP Woodward, G Ormerod, SJ Durance, I 2021 application/pdf https://www.repository.cam.ac.uk/handle/1810/322401 https://doi.org/10.17863/CAM.69858 eng eng Wiley http://dx.doi.org/10.1111/ecog.05438 Ecography https://www.repository.cam.ac.uk/handle/1810/322401 doi:10.17863/CAM.69858 Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ aquatic ecosystems Atlantic salmon biodiversity brown trout ecosystem services Eurasian dipper grey wagtails predator– prey interactions Article 2021 ftunivcam https://doi.org/10.17863/CAM.69858 2023-12-21T23:25:14Z <jats:p>The extent to which prey traits combine to influence the abundance of predators is still poorly understood, particularly for mixed predators in sympatry and in aquatic ecosystems. In this study, we characterise prey use and distribution in iconic bird (grey wagtails and Eurasian dippers) and fish species (brown trout and Atlantic salmon) to assess whether prey traits could predict populations of these four riverine predators. Specifically, we hypothesised that: 1) prey key traits would predict predator populations more effectively than 2) diversity of prey traits, 3) the taxonomic abundance or richness of prey (known as traditional or mass‐effect types of biodiversity) or 4) the prevailing environmental conditions. Combined predator population sizes were predicted better by a few key traits – specifically those revealing prey habitat use, size and drifting behaviour – than by prey diversity or prey trait diversity or environmental conditions. Our findings demonstrate that the complex relationships between prey assemblages and multiple predator species can be represented mechanistically when the key prey traits that govern encounter and consumption rates are identified. Given their apparent potential to reveal trophic relationships, and to complement more traditional measures of prey abundance, we advocate further development of trait‐based approaches in predator–prey research.</jats:p> Article in Journal/Newspaper Atlantic salmon Apollo - University of Cambridge Repository |
institution |
Open Polar |
collection |
Apollo - University of Cambridge Repository |
op_collection_id |
ftunivcam |
language |
English |
topic |
aquatic ecosystems Atlantic salmon biodiversity brown trout ecosystem services Eurasian dipper grey wagtails predator– prey interactions |
spellingShingle |
aquatic ecosystems Atlantic salmon biodiversity brown trout ecosystem services Eurasian dipper grey wagtails predator– prey interactions Gutiérrez-Cánovas, C Worthington, TA Jâms, IB Noble, DG Perkins, DM Vaughan, IP Woodward, G Ormerod, SJ Durance, I Populations of high-value predators reflect the traits of their prey |
topic_facet |
aquatic ecosystems Atlantic salmon biodiversity brown trout ecosystem services Eurasian dipper grey wagtails predator– prey interactions |
description |
<jats:p>The extent to which prey traits combine to influence the abundance of predators is still poorly understood, particularly for mixed predators in sympatry and in aquatic ecosystems. In this study, we characterise prey use and distribution in iconic bird (grey wagtails and Eurasian dippers) and fish species (brown trout and Atlantic salmon) to assess whether prey traits could predict populations of these four riverine predators. Specifically, we hypothesised that: 1) prey key traits would predict predator populations more effectively than 2) diversity of prey traits, 3) the taxonomic abundance or richness of prey (known as traditional or mass‐effect types of biodiversity) or 4) the prevailing environmental conditions. Combined predator population sizes were predicted better by a few key traits – specifically those revealing prey habitat use, size and drifting behaviour – than by prey diversity or prey trait diversity or environmental conditions. Our findings demonstrate that the complex relationships between prey assemblages and multiple predator species can be represented mechanistically when the key prey traits that govern encounter and consumption rates are identified. Given their apparent potential to reveal trophic relationships, and to complement more traditional measures of prey abundance, we advocate further development of trait‐based approaches in predator–prey research.</jats:p> |
format |
Article in Journal/Newspaper |
author |
Gutiérrez-Cánovas, C Worthington, TA Jâms, IB Noble, DG Perkins, DM Vaughan, IP Woodward, G Ormerod, SJ Durance, I |
author_facet |
Gutiérrez-Cánovas, C Worthington, TA Jâms, IB Noble, DG Perkins, DM Vaughan, IP Woodward, G Ormerod, SJ Durance, I |
author_sort |
Gutiérrez-Cánovas, C |
title |
Populations of high-value predators reflect the traits of their prey |
title_short |
Populations of high-value predators reflect the traits of their prey |
title_full |
Populations of high-value predators reflect the traits of their prey |
title_fullStr |
Populations of high-value predators reflect the traits of their prey |
title_full_unstemmed |
Populations of high-value predators reflect the traits of their prey |
title_sort |
populations of high-value predators reflect the traits of their prey |
publisher |
Wiley |
publishDate |
2021 |
url |
https://www.repository.cam.ac.uk/handle/1810/322401 https://doi.org/10.17863/CAM.69858 |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_relation |
https://www.repository.cam.ac.uk/handle/1810/322401 doi:10.17863/CAM.69858 |
op_rights |
Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.17863/CAM.69858 |
_version_ |
1788059813322686464 |