An overview of Gadget, the Globally applicable Area-Disaggregated General Ecosystem Toolbox
Gadget is the Globally applicable Area-Disaggregated General Ecosystem Toolbox. Gadget is a powerful and flexible framework that has been developed to model complicated statistical marine ecosystems within a fisheries management and biological context, and can take many features of the ecosystem int...
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ftimr:oai:imr.brage.unit.no:11250/100625 2023-05-15T15:39:02+02:00 An overview of Gadget, the Globally applicable Area-Disaggregated General Ecosystem Toolbox Begley, James Howell, Daniel 2004 151286 bytes application/pdf http://hdl.handle.net/11250/100625 eng eng ICES ICES CM documents 2004/FF:13 http://hdl.handle.net/11250/100625 16 s. marine økosystemer marine ecosystems VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920 VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551 Working paper 2004 ftimr 2021-09-23T20:14:31Z Gadget is the Globally applicable Area-Disaggregated General Ecosystem Toolbox. Gadget is a powerful and flexible framework that has been developed to model complicated statistical marine ecosystems within a fisheries management and biological context, and can take many features of the ecosystem into account. Gadget allows the user to include a number of features of the ecosystem into the model: One or more species, each of which may be split into multiple components; multiple areas with migration between areas; predation between and within species; growth; maturation; reproduction and recruitment; multiple commercial and survey fleets taking catches from the populations. Gadget works by running an internal forward projection model based on many parameters describing the ecosystem, and then comparing the output from this model to observed measurements to get a likelihood score. The model ecosystem parameters can then be adjusted, and the model re-run, until an optimum is found, which corresponds to the model with the lowest likelihood score. This iterative, computationally intensive process is handled within Gadget, using a robust minimisation algorithm. Gadget has successfully been used to investigate the population dynamics of stock complexes in Icelandic waters, the Barents Sea, the North Sea, the Irish and Celtic Seas and the Sofala Bank fishery of Mozambique. This paper describes the structure and main components of an ecosystem model developed using the Gadget framework. Report Barents Sea Institute for Marine Research: Brage IMR Barents Sea |
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Open Polar |
collection |
Institute for Marine Research: Brage IMR |
op_collection_id |
ftimr |
language |
English |
topic |
marine økosystemer marine ecosystems VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920 VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551 |
spellingShingle |
marine økosystemer marine ecosystems VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920 VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551 Begley, James Howell, Daniel An overview of Gadget, the Globally applicable Area-Disaggregated General Ecosystem Toolbox |
topic_facet |
marine økosystemer marine ecosystems VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920 VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551 |
description |
Gadget is the Globally applicable Area-Disaggregated General Ecosystem Toolbox. Gadget is a powerful and flexible framework that has been developed to model complicated statistical marine ecosystems within a fisheries management and biological context, and can take many features of the ecosystem into account. Gadget allows the user to include a number of features of the ecosystem into the model: One or more species, each of which may be split into multiple components; multiple areas with migration between areas; predation between and within species; growth; maturation; reproduction and recruitment; multiple commercial and survey fleets taking catches from the populations. Gadget works by running an internal forward projection model based on many parameters describing the ecosystem, and then comparing the output from this model to observed measurements to get a likelihood score. The model ecosystem parameters can then be adjusted, and the model re-run, until an optimum is found, which corresponds to the model with the lowest likelihood score. This iterative, computationally intensive process is handled within Gadget, using a robust minimisation algorithm. Gadget has successfully been used to investigate the population dynamics of stock complexes in Icelandic waters, the Barents Sea, the North Sea, the Irish and Celtic Seas and the Sofala Bank fishery of Mozambique. This paper describes the structure and main components of an ecosystem model developed using the Gadget framework. |
format |
Report |
author |
Begley, James Howell, Daniel |
author_facet |
Begley, James Howell, Daniel |
author_sort |
Begley, James |
title |
An overview of Gadget, the Globally applicable Area-Disaggregated General Ecosystem Toolbox |
title_short |
An overview of Gadget, the Globally applicable Area-Disaggregated General Ecosystem Toolbox |
title_full |
An overview of Gadget, the Globally applicable Area-Disaggregated General Ecosystem Toolbox |
title_fullStr |
An overview of Gadget, the Globally applicable Area-Disaggregated General Ecosystem Toolbox |
title_full_unstemmed |
An overview of Gadget, the Globally applicable Area-Disaggregated General Ecosystem Toolbox |
title_sort |
overview of gadget, the globally applicable area-disaggregated general ecosystem toolbox |
publisher |
ICES |
publishDate |
2004 |
url |
http://hdl.handle.net/11250/100625 |
geographic |
Barents Sea |
geographic_facet |
Barents Sea |
genre |
Barents Sea |
genre_facet |
Barents Sea |
op_source |
16 s. |
op_relation |
ICES CM documents 2004/FF:13 http://hdl.handle.net/11250/100625 |
_version_ |
1766370484779220992 |