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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Format: | Article in Journal/Newspaper |
Language: | English |
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2021
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Online Access: | https://curis.ku.dk/portal/da/publications/using-food-webs-and-metabolic-theory-to-monitor-model-and-manage-atlantic-salmona-keystone-species-under-threat(f28aec9b-0a0f-447c-b403-09ebf9d03c9e).html https://doi.org/10.3389/fevo.2021.675261 https://curis.ku.dk/ws/files/346412265/fevo_09_675261.pdf |
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ftcopenhagenunip:oai:pure.atira.dk:publications/f28aec9b-0a0f-447c-b403-09ebf9d03c9e 2024-06-09T07:44:43+00:00 Using Food Webs and Metabolic Theory to Monitor, Model, and Manage Atlantic Salmon-A Keystone Species Under Threat Woodward, Guy Morris, Olivia Barquin, Jose Belgrano, Andrea Bull, Colin de Eyto, Elvira Friberg, Nikolai Guobergsson, Guoni Layer-Dobra, Katrin Lauridsen, Rasmus B. Lewis, Hannah M. McGinnity, Philip Pawar, Samraat Rosindell, James O'Gorman, Eoin J. 2021 application/pdf https://curis.ku.dk/portal/da/publications/using-food-webs-and-metabolic-theory-to-monitor-model-and-manage-atlantic-salmona-keystone-species-under-threat(f28aec9b-0a0f-447c-b403-09ebf9d03c9e).html https://doi.org/10.3389/fevo.2021.675261 https://curis.ku.dk/ws/files/346412265/fevo_09_675261.pdf eng eng info:eu-repo/semantics/openAccess Woodward , G , Morris , O , Barquin , J , Belgrano , A , Bull , C , de Eyto , E , Friberg , N , Guobergsson , G , Layer-Dobra , K , Lauridsen , R B , Lewis , H M , McGinnity , P , Pawar , S , Rosindell , J & O'Gorman , E 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 , vol. 9 , 675261 . https://doi.org/10.3389/fevo.2021.675261 Atlantic salmon (Salmo salar) marine and freshwater fisheries ecosystem-based management (EBM) matrix projection models metabolic theory of ecology (MTE) life-stage models size structure ECOLOGICAL NETWORKS FISH PRODUCTION FRESH-WATER BODY-SIZE TEMPERATURE GROWTH SALAR FISHERIES ABUNDANCE article 2021 ftcopenhagenunip https://doi.org/10.3389/fevo.2021.675261 2024-05-16T11:29:29Z 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 Salmo salar University of Copenhagen: Research Frontiers in Ecology and Evolution 9 |
institution |
Open Polar |
collection |
University of Copenhagen: Research |
op_collection_id |
ftcopenhagenunip |
language |
English |
topic |
Atlantic salmon (Salmo salar) marine and freshwater fisheries ecosystem-based management (EBM) matrix projection models metabolic theory of ecology (MTE) life-stage models size structure ECOLOGICAL NETWORKS FISH PRODUCTION FRESH-WATER BODY-SIZE TEMPERATURE GROWTH SALAR FISHERIES ABUNDANCE |
spellingShingle |
Atlantic salmon (Salmo salar) marine and freshwater fisheries ecosystem-based management (EBM) matrix projection models metabolic theory of ecology (MTE) life-stage models size structure ECOLOGICAL NETWORKS FISH PRODUCTION FRESH-WATER BODY-SIZE TEMPERATURE GROWTH SALAR FISHERIES ABUNDANCE Woodward, Guy Morris, Olivia Barquin, Jose Belgrano, Andrea Bull, Colin de Eyto, Elvira Friberg, Nikolai Guobergsson, Guoni 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 |
topic_facet |
Atlantic salmon (Salmo salar) marine and freshwater fisheries ecosystem-based management (EBM) matrix projection models metabolic theory of ecology (MTE) life-stage models size structure ECOLOGICAL NETWORKS FISH PRODUCTION FRESH-WATER BODY-SIZE TEMPERATURE GROWTH SALAR FISHERIES ABUNDANCE |
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 Barquin, Jose Belgrano, Andrea Bull, Colin de Eyto, Elvira Friberg, Nikolai Guobergsson, Guoni Layer-Dobra, Katrin Lauridsen, Rasmus B. Lewis, Hannah M. McGinnity, Philip Pawar, Samraat Rosindell, James O'Gorman, Eoin J. |
author_facet |
Woodward, Guy Morris, Olivia Barquin, Jose Belgrano, Andrea Bull, Colin de Eyto, Elvira Friberg, Nikolai Guobergsson, Guoni 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 |
publishDate |
2021 |
url |
https://curis.ku.dk/portal/da/publications/using-food-webs-and-metabolic-theory-to-monitor-model-and-manage-atlantic-salmona-keystone-species-under-threat(f28aec9b-0a0f-447c-b403-09ebf9d03c9e).html https://doi.org/10.3389/fevo.2021.675261 https://curis.ku.dk/ws/files/346412265/fevo_09_675261.pdf |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_source |
Woodward , G , Morris , O , Barquin , J , Belgrano , A , Bull , C , de Eyto , E , Friberg , N , Guobergsson , G , Layer-Dobra , K , Lauridsen , R B , Lewis , H M , McGinnity , P , Pawar , S , Rosindell , J & O'Gorman , E 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 , vol. 9 , 675261 . https://doi.org/10.3389/fevo.2021.675261 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3389/fevo.2021.675261 |
container_title |
Frontiers in Ecology and Evolution |
container_volume |
9 |
_version_ |
1801373518316699648 |