Populations of high-value predators reflect the traits of their prey dataset ...
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 sp...
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2021
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Online Access: | https://dx.doi.org/10.5061/dryad.d51c5b02k https://datadryad.org/stash/dataset/doi:10.5061/dryad.d51c5b02k |
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ftdatacite:10.5061/dryad.d51c5b02k 2024-10-20T14:07:43+00:00 Populations of high-value predators reflect the traits of their prey dataset ... Gutierrez Canovas, Cayetano Worthington, Thomas Noble, David Perkins, Daniel Vaughan, Ian Woodward, Guy Ormerod, Steve Durance, Isabelle 2021 https://dx.doi.org/10.5061/dryad.d51c5b02k https://datadryad.org/stash/dataset/doi:10.5061/dryad.d51c5b02k en eng Dryad https://dx.doi.org/10.1111/ecog.05438 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 Dataset dataset 2021 ftdatacite https://doi.org/10.5061/dryad.d51c5b02k10.1111/ecog.05438 2024-10-01T11:12:04Z 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: (i) Prey key traits would predict predator populations more effectively than (ii) Diversity of prey traits, (iii) the taxonomic abundance or richness of prey (known as traditional or mass-effect types of biodiversity) or (iv) 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 ... Dataset Atlantic salmon DataCite |
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Open Polar |
collection |
DataCite |
op_collection_id |
ftdatacite |
language |
English |
description |
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: (i) Prey key traits would predict predator populations more effectively than (ii) Diversity of prey traits, (iii) the taxonomic abundance or richness of prey (known as traditional or mass-effect types of biodiversity) or (iv) 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 ... |
format |
Dataset |
author |
Gutierrez Canovas, Cayetano Worthington, Thomas Noble, David Perkins, Daniel Vaughan, Ian Woodward, Guy Ormerod, Steve Durance, Isabelle |
spellingShingle |
Gutierrez Canovas, Cayetano Worthington, Thomas Noble, David Perkins, Daniel Vaughan, Ian Woodward, Guy Ormerod, Steve Durance, Isabelle Populations of high-value predators reflect the traits of their prey dataset ... |
author_facet |
Gutierrez Canovas, Cayetano Worthington, Thomas Noble, David Perkins, Daniel Vaughan, Ian Woodward, Guy Ormerod, Steve Durance, Isabelle |
author_sort |
Gutierrez Canovas, Cayetano |
title |
Populations of high-value predators reflect the traits of their prey dataset ... |
title_short |
Populations of high-value predators reflect the traits of their prey dataset ... |
title_full |
Populations of high-value predators reflect the traits of their prey dataset ... |
title_fullStr |
Populations of high-value predators reflect the traits of their prey dataset ... |
title_full_unstemmed |
Populations of high-value predators reflect the traits of their prey dataset ... |
title_sort |
populations of high-value predators reflect the traits of their prey dataset ... |
publisher |
Dryad |
publishDate |
2021 |
url |
https://dx.doi.org/10.5061/dryad.d51c5b02k https://datadryad.org/stash/dataset/doi:10.5061/dryad.d51c5b02k |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_relation |
https://dx.doi.org/10.1111/ecog.05438 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_doi |
https://doi.org/10.5061/dryad.d51c5b02k10.1111/ecog.05438 |
_version_ |
1813446655062573056 |