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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Main Authors: Gutiérrez-Cánovas, C, Worthington, TA, Jâms, IB, Noble, DG, Perkins, DM, Vaughan, IP, Woodward, G, Ormerod, SJ, Durance, I
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2021
Subjects:
Online Access:https://www.repository.cam.ac.uk/handle/1810/322401
https://doi.org/10.17863/CAM.69858
id ftunivcam:oai:www.repository.cam.ac.uk:1810/322401
record_format openpolar
spelling 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&#8211 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&#8211
prey interactions
spellingShingle aquatic ecosystems
Atlantic salmon
biodiversity
brown trout
ecosystem services
Eurasian dipper
grey wagtails
predator&#8211
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&#8211
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
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