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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Main Authors: Gutierrez Canovas, Cayetano, Worthington, Thomas, Noble, David, Perkins, Daniel, Vaughan, Ian, Woodward, Guy, Ormerod, Steve, Durance, Isabelle
Format: Dataset
Language:English
Published: Dryad 2021
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.d51c5b02k
https://datadryad.org/stash/dataset/doi:10.5061/dryad.d51c5b02k
id ftdatacite:10.5061/dryad.d51c5b02k
record_format openpolar
spelling 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
institution 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
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