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Using food webs and metabolic theory to monitor, model, and manage Atlantic salmon - a keystone species under threat

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Title: Using food webs and metabolic theory to monitor, model, and manage Atlantic salmon - a keystone species under threat
Authors: Woodward, G
Morris, O
Barquin, J
Belgrano, A
Bull, C
De Eyto, E
Friberg, N
Guobergsson, G
Layer-Dobra, K
Lauridsen, RB
Lewis, HM
McGinnity, P
Pawar, S
Rosindell, J
O'Gorman, EJ
Item Type: Journal Article
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.
Issue Date: 17-Dec-2021
Date of Acceptance: 22-Nov-2021
URI: http://hdl.handle.net/10044/1/94041
DOI: 10.3389/fevo.2021.675261
ISSN: 2296-701X
Publisher: Frontiers Media
Journal / Book Title: Frontiers in Ecology and Evolution
Volume: 9
Copyright Statement: © 2021 Woodward, Morris, Barquín, Belgrano, Bull, de Eyto, Friberg, Guðbergsson, Layer-Dobra, Lauridsen, Lewis, McGinnity, Pawar, Rosindell and O’Gorman. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Sponsor/Funder: FALKATHING ehf
Funder's Grant Number: LBEGC_P80557
Keywords: Science & Technology
Life Sciences & Biomedicine
Ecology
Environmental Sciences & Ecology
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
SIZE STRUCTURE
ECOLOGICAL NETWORKS
FISH PRODUCTION
FRESH-WATER
BODY-SIZE
TEMPERATURE
GROWTH
SALAR
FISHERIES
ABUNDANCE
Science & Technology
Life Sciences & Biomedicine
Ecology
Environmental Sciences & Ecology
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
SIZE STRUCTURE
ECOLOGICAL NETWORKS
FISH PRODUCTION
FRESH-WATER
BODY-SIZE
TEMPERATURE
GROWTH
SALAR
FISHERIES
ABUNDANCE
0602 Ecology
0603 Evolutionary Biology
Publication Status: Published
Open Access location: https://doi.org/10.3389/fevo.2021.675261
Article Number: ARTN 675261
Appears in Collections:Faculty of Natural Sciences



This item is licensed under a Creative Commons License Creative Commons