Imperial College London


Faculty of Natural SciencesDepartment of Life Sciences (Silwood Park)

Reader in Biodiversity Theory



+44 (0)20 7594 2242j.rosindell




W1.5KennedySilwood Park






BibTex format

author = {Woodward, G and Morris, O and Barquin, J and Belgrano, A and Bull, C and de, Eyto E and Friberg, N and Guobergsson, G and Layer-Dobra, K and Lauridsen, RB and Lewis, HM and McGinnity, P and Pawar, S and Rosindell, J and O'Gorman, EJ},
doi = {10.3389/fevo.2021.675261},
journal = {Frontiers in Ecology and Evolution},
title = {Using food webs and metabolic theory to monitor, model, and manage Atlantic salmon - a keystone species under threat},
url = {},
volume = {9},
year = {2021}

RIS format (EndNote, RefMan)

AB - 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.
AU - Woodward,G
AU - Morris,O
AU - Barquin,J
AU - Belgrano,A
AU - Bull,C
AU - de,Eyto E
AU - Friberg,N
AU - Guobergsson,G
AU - Layer-Dobra,K
AU - Lauridsen,RB
AU - Lewis,HM
AU - McGinnity,P
AU - Pawar,S
AU - Rosindell,J
AU - O'Gorman,EJ
DO - 10.3389/fevo.2021.675261
PY - 2021///
SN - 2296-701X
TI - Using food webs and metabolic theory to monitor, model, and manage Atlantic salmon - a keystone species under threat
T2 - Frontiers in Ecology and Evolution
UR -
UR -
UR -
UR -
VL - 9
ER -