Towards an integrated forecasting system for pelagic fisheries

Publication: Research - peer-reviewJournal article – Annual report year: 2012

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Towards an integrated forecasting system for pelagic fisheries. / Christensen, Asbjørn; Butenschön, Momme; Gürkan, Zeren; Allen, Icarus.

In: Ocean Science Discussions, Vol. 9, 2012, p. 1437-1479.

Publication: Research - peer-reviewJournal article – Annual report year: 2012

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Author

Christensen, Asbjørn; Butenschön, Momme; Gürkan, Zeren; Allen, Icarus / Towards an integrated forecasting system for pelagic fisheries.

In: Ocean Science Discussions, Vol. 9, 2012, p. 1437-1479.

Publication: Research - peer-reviewJournal article – Annual report year: 2012

Bibtex

@article{258c23e03fa54b35b8b6743caa35e463,
title = "Towards an integrated forecasting system for pelagic fisheries",
publisher = "Copernicus GmbH",
author = "Asbjørn Christensen and Momme Butenschön and Zeren Gürkan and Icarus Allen",
year = "2012",
doi = "10.5194/osd-9-1437-2012",
volume = "9",
pages = "1437--1479",
journal = "Ocean Science Discussions",
issn = "1812-0806",

}

RIS

TY - JOUR

T1 - Towards an integrated forecasting system for pelagic fisheries

A1 - Christensen,Asbjørn

A1 - Butenschön,Momme

A1 - Gürkan,Zeren

A1 - Allen,Icarus

AU - Christensen,Asbjørn

AU - Butenschön,Momme

AU - Gürkan,Zeren

AU - Allen,Icarus

PB - Copernicus GmbH

PY - 2012

Y1 - 2012

N2 - First results of a coupled modelling and forecasting system for pelagic fisheries are presented. The system consists of three mathematically fundamentally different model subsystems: POLCOMSERSEM provides the physical–biogeochemical environment in the northwest European shelf, the Sandeel Population Analysis Model describes sandeel stocks in the North Sea, and the Sandeel Larval Analysis Model connects POLCOMS‐ERSEM and SPAM by computing the physical–biological interaction. Our main findings by coupling model subsystems is that well‐defined and generic model interfaces are very important for a successful and extendable coupled model framework. The integrated approach, simulating ecosystem dynamics from physics to fish, allows <br/>analysis of the pathways in the ecosystem to investigate the propagation of changes in the ocean climate and lower trophic levels to quantify the impacts on the higher trophic level, in this case the sandeel population, demonstrated here on the basis of hindcast data. The coupled forecasting system has been tested for some typical scientific questions appearing in spatial fish stock management and marine spatial planning, including determination of local‐and basin‐scale <br/>maximum sustainable yield, stock connectivity, and source/sink structure. Our presented simulations indicate that sandeel stocks are currently exploited close to the maximum sustainable yield, but large uncertainty is associated with determining stock maximum sustainable yield due to stock eigendynamics and climatic variability. Our statistical ensemble simulations indicate that the <br/>predictive horizon set by climate interannual variability is 2–6 years, after which only an asymptotic probability distribution of stock properties, such as biomass, is predictable

AB - First results of a coupled modelling and forecasting system for pelagic fisheries are presented. The system consists of three mathematically fundamentally different model subsystems: POLCOMSERSEM provides the physical–biogeochemical environment in the northwest European shelf, the Sandeel Population Analysis Model describes sandeel stocks in the North Sea, and the Sandeel Larval Analysis Model connects POLCOMS‐ERSEM and SPAM by computing the physical–biological interaction. Our main findings by coupling model subsystems is that well‐defined and generic model interfaces are very important for a successful and extendable coupled model framework. The integrated approach, simulating ecosystem dynamics from physics to fish, allows <br/>analysis of the pathways in the ecosystem to investigate the propagation of changes in the ocean climate and lower trophic levels to quantify the impacts on the higher trophic level, in this case the sandeel population, demonstrated here on the basis of hindcast data. The coupled forecasting system has been tested for some typical scientific questions appearing in spatial fish stock management and marine spatial planning, including determination of local‐and basin‐scale <br/>maximum sustainable yield, stock connectivity, and source/sink structure. Our presented simulations indicate that sandeel stocks are currently exploited close to the maximum sustainable yield, but large uncertainty is associated with determining stock maximum sustainable yield due to stock eigendynamics and climatic variability. Our statistical ensemble simulations indicate that the <br/>predictive horizon set by climate interannual variability is 2–6 years, after which only an asymptotic probability distribution of stock properties, such as biomass, is predictable

UR - http://www.ocean-sci-discuss.net/9/1437/2012/osd-9-1437-2012.pdf

U2 - 10.5194/osd-9-1437-2012

DO - 10.5194/osd-9-1437-2012

JO - Ocean Science Discussions

JF - Ocean Science Discussions

SN - 1812-0806

VL - 9

SP - 1437

EP - 1479

ER -