An updated description and parameterisation of the spatial multi-species Operating Model (SMOM)

An updated version of the Spatial Multi-species Operating Model (SMOM) of krillpredator-fishery dynamics is described. This has been developed in response to requests for scientific advice regarding the subdivision of the precautionary catch limit for krill among 15 small-scale management units (SSM...

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Main Authors: Plagányi, Éva E, Butterworth, Doug S
Format: Report
Language:English
Published: University of Cape Town 2008
Subjects:
Online Access:http://hdl.handle.net/11427/18526
https://open.uct.ac.za/bitstream/11427/18526/1/Plag%c3%a1nyi_An_updated_2008.pdf
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spelling ftunivcapetownir:oai:localhost:11427/18526 2023-05-15T18:16:01+02:00 An updated description and parameterisation of the spatial multi-species Operating Model (SMOM) Plagányi, Éva E Butterworth, Doug S 2008 application/pdf http://hdl.handle.net/11427/18526 https://open.uct.ac.za/bitstream/11427/18526/1/Plag%c3%a1nyi_An_updated_2008.pdf eng eng University of Cape Town Faculty of Science Marine Resource Assessment and Management Group http://hdl.handle.net/11427/18526 https://open.uct.ac.za/bitstream/11427/18526/1/Plag%c3%a1nyi_An_updated_2008.pdf Commission for the Conservation of Antarctic Marine Living Resources https://www.ccamlr.org/en description parameterisation spatial multi-species Operating Model Working Paper 2008 ftunivcapetownir 2022-09-13T05:48:57Z An updated version of the Spatial Multi-species Operating Model (SMOM) of krillpredator-fishery dynamics is described. This has been developed in response to requests for scientific advice regarding the subdivision of the precautionary catch limit for krill among 15 small-scale management units (SSMUs) in the Scotia Sea, to reduce the potential impact of fishing on land-based predators. The model includes krill as prey and four predator groups (penguins, seals, fish and whales) in each of 15 SSMUs. A number of updates have been made to the model such as linking krill growth rate to sea surface temperature, and these are described here. Moreover, the methodology used to condition the model using the WG-SAM set of reference observations for Area 48 (the SAM calendar) is described. Alternative combinations of model parameters essentially try to bound the uncertainty in, for example, the choice of survival rate estimates as well as the functional relationships between predators and prey. An example is given of how this Operating Model can be used to develop a management scheme which includes feedback through management control rules. Report Scotia Sea University of Cape Town: OpenUCT Scotia Sea
institution Open Polar
collection University of Cape Town: OpenUCT
op_collection_id ftunivcapetownir
language English
topic description
parameterisation
spatial multi-species Operating Model
spellingShingle description
parameterisation
spatial multi-species Operating Model
Plagányi, Éva E
Butterworth, Doug S
An updated description and parameterisation of the spatial multi-species Operating Model (SMOM)
topic_facet description
parameterisation
spatial multi-species Operating Model
description An updated version of the Spatial Multi-species Operating Model (SMOM) of krillpredator-fishery dynamics is described. This has been developed in response to requests for scientific advice regarding the subdivision of the precautionary catch limit for krill among 15 small-scale management units (SSMUs) in the Scotia Sea, to reduce the potential impact of fishing on land-based predators. The model includes krill as prey and four predator groups (penguins, seals, fish and whales) in each of 15 SSMUs. A number of updates have been made to the model such as linking krill growth rate to sea surface temperature, and these are described here. Moreover, the methodology used to condition the model using the WG-SAM set of reference observations for Area 48 (the SAM calendar) is described. Alternative combinations of model parameters essentially try to bound the uncertainty in, for example, the choice of survival rate estimates as well as the functional relationships between predators and prey. An example is given of how this Operating Model can be used to develop a management scheme which includes feedback through management control rules.
format Report
author Plagányi, Éva E
Butterworth, Doug S
author_facet Plagányi, Éva E
Butterworth, Doug S
author_sort Plagányi, Éva E
title An updated description and parameterisation of the spatial multi-species Operating Model (SMOM)
title_short An updated description and parameterisation of the spatial multi-species Operating Model (SMOM)
title_full An updated description and parameterisation of the spatial multi-species Operating Model (SMOM)
title_fullStr An updated description and parameterisation of the spatial multi-species Operating Model (SMOM)
title_full_unstemmed An updated description and parameterisation of the spatial multi-species Operating Model (SMOM)
title_sort updated description and parameterisation of the spatial multi-species operating model (smom)
publisher University of Cape Town
publishDate 2008
url http://hdl.handle.net/11427/18526
https://open.uct.ac.za/bitstream/11427/18526/1/Plag%c3%a1nyi_An_updated_2008.pdf
geographic Scotia Sea
geographic_facet Scotia Sea
genre Scotia Sea
genre_facet Scotia Sea
op_source Commission for the Conservation of Antarctic Marine Living Resources
https://www.ccamlr.org/en
op_relation http://hdl.handle.net/11427/18526
https://open.uct.ac.za/bitstream/11427/18526/1/Plag%c3%a1nyi_An_updated_2008.pdf
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