Using Food Webs and Metabolic Theory to Monitor, Model, and Manage Atlantic Salmon—A Keystone Species Under Threat
Populations of Atlantic salmon are crashing across most of its natural range: understanding the underlying causes and predicting these collapses in time to intervene effectively are urgent ecological and socioeconomic priorities. Current management techniques rely on phenomenological analyses of dem...
Published in: | Frontiers in Ecology and Evolution |
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Language: | English |
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Online Access: | http://repository.essex.ac.uk/32536/ https://doi.org/10.3389/fevo.2021.675261 http://repository.essex.ac.uk/32536/1/fevo-09-675261.pdf |
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ftunivessex:oai:repository.essex.ac.uk:32536 2023-05-15T15:30:11+02:00 Using Food Webs and Metabolic Theory to Monitor, Model, and Manage Atlantic Salmon—A Keystone Species Under Threat Woodward, Guy Morris, Olivia Barquín, José Belgrano, Andrea Bull, Colin de Eyto, Elvira Friberg, Nikolai Guðbergsson, Guðni Layer-Dobra, Katrin Lauridsen, Rasmus B Lewis, Hannah M McGinnity, Philip Pawar, Samraat Rosindell, James O'Gorman, Eoin J 2021-12-17 application/pdf http://repository.essex.ac.uk/32536/ https://doi.org/10.3389/fevo.2021.675261 http://repository.essex.ac.uk/32536/1/fevo-09-675261.pdf en eng Frontiers Media http://repository.essex.ac.uk/32536/1/fevo-09-675261.pdf Woodward, Guy and Morris, Olivia and Barquín, José and Belgrano, Andrea and Bull, Colin and de Eyto, Elvira and Friberg, Nikolai and Guðbergsson, Guðni and Layer-Dobra, Katrin and Lauridsen, Rasmus B and Lewis, Hannah M and McGinnity, Philip and Pawar, Samraat and Rosindell, James and O'Gorman, Eoin J (2021) 'Using Food Webs and Metabolic Theory to Monitor, Model, and Manage Atlantic Salmon—A Keystone Species Under Threat.' Frontiers in Ecology and Evolution, 9. ISSN 2296-701X cc_by CC-BY Article PeerReviewed 2021 ftunivessex https://doi.org/10.3389/fevo.2021.675261 2022-08-18T22:42:02Z Populations of Atlantic salmon are crashing across most of its natural range: understanding the underlying causes and predicting these collapses in time to intervene effectively are urgent ecological and socioeconomic priorities. Current management techniques rely on phenomenological analyses of demographic population time-series and thus lack a mechanistic understanding of how and why populations may be declining. New multidisciplinary approaches are thus needed to capitalize on the long-term, large-scale population data that are currently scattered across various repositories in multiple countries, as well as marshaling additional data to understand the constraints on the life cycle and how salmon operate within the wider food web. Here, we explore how we might combine data and theory to develop the mechanistic models that we need to predict and manage responses to future change. Although we focus on Atlantic salmon—given the huge data resources that already exist for this species—the general principles developed here could be applied and extended to many other species and ecosystems. Article in Journal/Newspaper Atlantic salmon University of Essex Research Repository Frontiers in Ecology and Evolution 9 |
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Open Polar |
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University of Essex Research Repository |
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ftunivessex |
language |
English |
description |
Populations of Atlantic salmon are crashing across most of its natural range: understanding the underlying causes and predicting these collapses in time to intervene effectively are urgent ecological and socioeconomic priorities. Current management techniques rely on phenomenological analyses of demographic population time-series and thus lack a mechanistic understanding of how and why populations may be declining. New multidisciplinary approaches are thus needed to capitalize on the long-term, large-scale population data that are currently scattered across various repositories in multiple countries, as well as marshaling additional data to understand the constraints on the life cycle and how salmon operate within the wider food web. Here, we explore how we might combine data and theory to develop the mechanistic models that we need to predict and manage responses to future change. Although we focus on Atlantic salmon—given the huge data resources that already exist for this species—the general principles developed here could be applied and extended to many other species and ecosystems. |
format |
Article in Journal/Newspaper |
author |
Woodward, Guy Morris, Olivia Barquín, José Belgrano, Andrea Bull, Colin de Eyto, Elvira Friberg, Nikolai Guðbergsson, Guðni Layer-Dobra, Katrin Lauridsen, Rasmus B Lewis, Hannah M McGinnity, Philip Pawar, Samraat Rosindell, James O'Gorman, Eoin J |
spellingShingle |
Woodward, Guy Morris, Olivia Barquín, José Belgrano, Andrea Bull, Colin de Eyto, Elvira Friberg, Nikolai Guðbergsson, Guðni Layer-Dobra, Katrin Lauridsen, Rasmus B Lewis, Hannah M McGinnity, Philip Pawar, Samraat Rosindell, James O'Gorman, Eoin J Using Food Webs and Metabolic Theory to Monitor, Model, and Manage Atlantic Salmon—A Keystone Species Under Threat |
author_facet |
Woodward, Guy Morris, Olivia Barquín, José Belgrano, Andrea Bull, Colin de Eyto, Elvira Friberg, Nikolai Guðbergsson, Guðni Layer-Dobra, Katrin Lauridsen, Rasmus B Lewis, Hannah M McGinnity, Philip Pawar, Samraat Rosindell, James O'Gorman, Eoin J |
author_sort |
Woodward, Guy |
title |
Using Food Webs and Metabolic Theory to Monitor, Model, and Manage Atlantic Salmon—A Keystone Species Under Threat |
title_short |
Using Food Webs and Metabolic Theory to Monitor, Model, and Manage Atlantic Salmon—A Keystone Species Under Threat |
title_full |
Using Food Webs and Metabolic Theory to Monitor, Model, and Manage Atlantic Salmon—A Keystone Species Under Threat |
title_fullStr |
Using Food Webs and Metabolic Theory to Monitor, Model, and Manage Atlantic Salmon—A Keystone Species Under Threat |
title_full_unstemmed |
Using Food Webs and Metabolic Theory to Monitor, Model, and Manage Atlantic Salmon—A Keystone Species Under Threat |
title_sort |
using food webs and metabolic theory to monitor, model, and manage atlantic salmon—a keystone species under threat |
publisher |
Frontiers Media |
publishDate |
2021 |
url |
http://repository.essex.ac.uk/32536/ https://doi.org/10.3389/fevo.2021.675261 http://repository.essex.ac.uk/32536/1/fevo-09-675261.pdf |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_relation |
http://repository.essex.ac.uk/32536/1/fevo-09-675261.pdf Woodward, Guy and Morris, Olivia and Barquín, José and Belgrano, Andrea and Bull, Colin and de Eyto, Elvira and Friberg, Nikolai and Guðbergsson, Guðni and Layer-Dobra, Katrin and Lauridsen, Rasmus B and Lewis, Hannah M and McGinnity, Philip and Pawar, Samraat and Rosindell, James and O'Gorman, Eoin J (2021) 'Using Food Webs and Metabolic Theory to Monitor, Model, and Manage Atlantic Salmon—A Keystone Species Under Threat.' Frontiers in Ecology and Evolution, 9. ISSN 2296-701X |
op_rights |
cc_by |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3389/fevo.2021.675261 |
container_title |
Frontiers in Ecology and Evolution |
container_volume |
9 |
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1766360623685304320 |