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Using Food Webs and Metabolic Theory to Monitor, Model, and Manage Atlantic Salmon-A Keystone Species Under Threat

Woodward, Guy and Morris, Olivia and Barquin, Jose and Belgrano, Andrea and Bull, Colin and de Eyto, Elvira and Friberg, Nikolai and Layer-Dobra, Katrin and Lauridsen, Rasmus B. and Guðbergsson, Guðni 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 , 675261
[Research article]

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Abstract

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.

Authors/Creators:Woodward, Guy and Morris, Olivia and Barquin, Jose and Belgrano, Andrea and Bull, Colin and de Eyto, Elvira and Friberg, Nikolai and Layer-Dobra, Katrin and Lauridsen, Rasmus B. and Guðbergsson, Guðni and Lewis, Hannah M. and McGinnity, Philip and Pawar, Samraat and Rosindell, James and O'Gorman, Eoin J.
Title:Using Food Webs and Metabolic Theory to Monitor, Model, and Manage Atlantic Salmon-A Keystone Species Under Threat
Series Name/Journal:Frontiers in Ecology and Evolution
Year of publishing :2021
Volume:9
Article number:675261
Number of Pages:10
Publisher:FRONTIERS MEDIA SA
ISSN:2296-701X
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Ecology
Keywords: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
URN:NBN:urn:nbn:se:slu:epsilon-p-115411
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-115411
Additional ID:
Type of IDID
DOI10.3389/fevo.2021.675261
Web of Science (WoS)000738479700001
ID Code:26693
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Department of Aquatic Resources
Deposited By: SLUpub Connector
Deposited On:14 Jan 2022 08:25
Metadata Last Modified:14 Jan 2022 08:31

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