Time-dynamic food web modeling to explore environmental drivers of ecosystem change on the Kerguelen Plateau

Understanding the impacts of climate and fishing on marine systems is important for ecosystem-based management in the Southern Ocean, but can be difficult to evaluate due to patchy data in space and time. We developed the first time-dynamic food web model for the Kerguelen Plateau using Ecopath with...

Full description

Bibliographic Details
Published in:Frontiers in Marine Science
Main Authors: Subramaniam, RC-A, Melbourne-Thomas, J, Corney, SP, Alexander, K, Peron, C, Ziegler, P, Swadling, KM
Format: Article in Journal/Newspaper
Language:English
Published: Frontiers Research Foundation 2020
Subjects:
Online Access:https://eprints.utas.edu.au/42196/
https://eprints.utas.edu.au/42196/1/140875%20-%20Time-dynamic%20food%20web%20modeling%20to%20explore%20environmental%20drivers.pdf
id ftunivtasmania:oai:eprints.utas.edu.au:42196
record_format openpolar
spelling ftunivtasmania:oai:eprints.utas.edu.au:42196 2023-05-15T17:54:43+02:00 Time-dynamic food web modeling to explore environmental drivers of ecosystem change on the Kerguelen Plateau Subramaniam, RC-A Melbourne-Thomas, J Corney, SP Alexander, K Peron, C Ziegler, P Swadling, KM 2020 application/pdf https://eprints.utas.edu.au/42196/ https://eprints.utas.edu.au/42196/1/140875%20-%20Time-dynamic%20food%20web%20modeling%20to%20explore%20environmental%20drivers.pdf en eng Frontiers Research Foundation https://eprints.utas.edu.au/42196/1/140875%20-%20Time-dynamic%20food%20web%20modeling%20to%20explore%20environmental%20drivers.pdf Subramaniam, RC-A orcid:0000-0001-7368-8086 , Melbourne-Thomas, J, Corney, SP orcid:0000-0002-8293-0863 , Alexander, K orcid:0000-0001-8801-413X , Peron, C, Ziegler, P and Swadling, KM orcid:0000-0002-7620-841X 2020 , 'Time-dynamic food web modeling to explore environmental drivers of ecosystem change on the Kerguelen Plateau' , Frontiers in Marine Science, vol. 7, no. SEPT , pp. 1-16 , doi:10.3389/fmars.2020.00641 <http://dx.doi.org/10.3389/fmars.2020.00641>. Ecosim environmental drivers ecosystem change Kerguelen Plateau Patagonian toothfish fishery Article PeerReviewed 2020 ftunivtasmania https://doi.org/10.3389/fmars.2020.00641 2022-03-28T22:16:33Z Understanding the impacts of climate and fishing on marine systems is important for ecosystem-based management in the Southern Ocean, but can be difficult to evaluate due to patchy data in space and time. We developed the first time-dynamic food web model for the Kerguelen Plateau using Ecopath with Ecosim to explore likely drivers of change in this relatively data-poor region. The Kerguelen Plateau is located at the centre of intersecting frontal systems and is inhabited by one of the largest populations of the commercially important Patagonian toothfish. We used this model to evaluate the environmental and human drivers of food web dynamics in the region by calibrating it with French and Australian fisheries data from 1997–2018 and biomass data for the period 1986–2018. Fishing was not identified as a driver of food web dynamics within this model, which could indicate that current management strategies are sustainable. A correlation analysis with environmental parameters likely to drive food web dynamics (sea surface temperature, zonal wind, Southern Annular Mode and chlorophyll a concentration) highlighted cool sea surface temperature, higher zonal wind speeds and negative phases of the Southern Annular Mode as important drivers of change, particularly during the summer. As the Southern Ocean is predicted to warm and winds are expected to intensify under future climate change, our study illustrates the importance of considering environmental change in ecosystem management. Article in Journal/Newspaper Patagonian Toothfish Southern Ocean University of Tasmania: UTas ePrints Southern Ocean Kerguelen Frontiers in Marine Science 7
institution Open Polar
collection University of Tasmania: UTas ePrints
op_collection_id ftunivtasmania
language English
topic Ecosim
environmental drivers
ecosystem change
Kerguelen Plateau
Patagonian toothfish fishery
spellingShingle Ecosim
environmental drivers
ecosystem change
Kerguelen Plateau
Patagonian toothfish fishery
Subramaniam, RC-A
Melbourne-Thomas, J
Corney, SP
Alexander, K
Peron, C
Ziegler, P
Swadling, KM
Time-dynamic food web modeling to explore environmental drivers of ecosystem change on the Kerguelen Plateau
topic_facet Ecosim
environmental drivers
ecosystem change
Kerguelen Plateau
Patagonian toothfish fishery
description Understanding the impacts of climate and fishing on marine systems is important for ecosystem-based management in the Southern Ocean, but can be difficult to evaluate due to patchy data in space and time. We developed the first time-dynamic food web model for the Kerguelen Plateau using Ecopath with Ecosim to explore likely drivers of change in this relatively data-poor region. The Kerguelen Plateau is located at the centre of intersecting frontal systems and is inhabited by one of the largest populations of the commercially important Patagonian toothfish. We used this model to evaluate the environmental and human drivers of food web dynamics in the region by calibrating it with French and Australian fisheries data from 1997–2018 and biomass data for the period 1986–2018. Fishing was not identified as a driver of food web dynamics within this model, which could indicate that current management strategies are sustainable. A correlation analysis with environmental parameters likely to drive food web dynamics (sea surface temperature, zonal wind, Southern Annular Mode and chlorophyll a concentration) highlighted cool sea surface temperature, higher zonal wind speeds and negative phases of the Southern Annular Mode as important drivers of change, particularly during the summer. As the Southern Ocean is predicted to warm and winds are expected to intensify under future climate change, our study illustrates the importance of considering environmental change in ecosystem management.
format Article in Journal/Newspaper
author Subramaniam, RC-A
Melbourne-Thomas, J
Corney, SP
Alexander, K
Peron, C
Ziegler, P
Swadling, KM
author_facet Subramaniam, RC-A
Melbourne-Thomas, J
Corney, SP
Alexander, K
Peron, C
Ziegler, P
Swadling, KM
author_sort Subramaniam, RC-A
title Time-dynamic food web modeling to explore environmental drivers of ecosystem change on the Kerguelen Plateau
title_short Time-dynamic food web modeling to explore environmental drivers of ecosystem change on the Kerguelen Plateau
title_full Time-dynamic food web modeling to explore environmental drivers of ecosystem change on the Kerguelen Plateau
title_fullStr Time-dynamic food web modeling to explore environmental drivers of ecosystem change on the Kerguelen Plateau
title_full_unstemmed Time-dynamic food web modeling to explore environmental drivers of ecosystem change on the Kerguelen Plateau
title_sort time-dynamic food web modeling to explore environmental drivers of ecosystem change on the kerguelen plateau
publisher Frontiers Research Foundation
publishDate 2020
url https://eprints.utas.edu.au/42196/
https://eprints.utas.edu.au/42196/1/140875%20-%20Time-dynamic%20food%20web%20modeling%20to%20explore%20environmental%20drivers.pdf
geographic Southern Ocean
Kerguelen
geographic_facet Southern Ocean
Kerguelen
genre Patagonian Toothfish
Southern Ocean
genre_facet Patagonian Toothfish
Southern Ocean
op_relation https://eprints.utas.edu.au/42196/1/140875%20-%20Time-dynamic%20food%20web%20modeling%20to%20explore%20environmental%20drivers.pdf
Subramaniam, RC-A orcid:0000-0001-7368-8086 , Melbourne-Thomas, J, Corney, SP orcid:0000-0002-8293-0863 , Alexander, K orcid:0000-0001-8801-413X , Peron, C, Ziegler, P and Swadling, KM orcid:0000-0002-7620-841X 2020 , 'Time-dynamic food web modeling to explore environmental drivers of ecosystem change on the Kerguelen Plateau' , Frontiers in Marine Science, vol. 7, no. SEPT , pp. 1-16 , doi:10.3389/fmars.2020.00641 <http://dx.doi.org/10.3389/fmars.2020.00641>.
op_doi https://doi.org/10.3389/fmars.2020.00641
container_title Frontiers in Marine Science
container_volume 7
_version_ 1766162520426414080