Database-driven models of the world's Large Marine Ecosystems

Villy Christensen; Carl J. Walters; Robert Ahrens; Jacqueline Alder; Joe Buszowski; Line Bang Christensen; William W. L. Cheung; John Dunne; Rainer Froese; Vasiliki Karpouzi; Kristin Kaschner; Kelly Kearney; Sherman Lai; Vicki Lam; Maria L. D. Palomares; Aja Peters-Mason; Chiara Piroddi; Jorge L. Sarmiento; Jeroen Steenbeek; Rashid Sumaila; Reg Watson; Dirk Zeller; Daniel Pauly

doi:10.1016/j.ecolmodel.2009.04.041

Database-driven models of the world's Large Marine Ecosystems

Villy Christensen, Carl J. Walters, Robert Ahrens, Jacqueline Alder, Joe Buszowski, Line Bang Christensen, William W. L. Cheung, John Dunne, Rainer Froese, Vasiliki Karpouzi, Kristin Kaschner, Kelly Kearney, Sherman Lai, Vicki Lam, Maria L. D. Palomares, Aja Peters-Mason, Chiara Piroddi, Jorge L. Sarmiento, Jeroen Steenbeek, Rashid SumailaReg Watson, Dirk Zeller, Daniel Pauly

School of Environmental Sciences

Research output: Contribution to journal › Article › peer-review

64 Citations (Scopus)

Abstract

We present a new methodology for database-driven ecosystem model generation and apply the methodology to the world's 66 currently defined Large Marine Ecosystems. The method relies on a large number of spatial and temporal databases, including FishBase, SeaLifeBase, as well as several other databases developed notably as part of the Sea Around Us project. The models are formulated using the freely available Ecopath with Ecosim (EwE) modeling approach and software. We tune the models by fitting to available time series data, but recognize that the models represent only a first-generation of database-driven ecosystem models. We use the models to obtain a first estimate of fish biomass in the world's LMEs. The biggest hurdles at present to further model development and validation are insufficient time series trend information, and data on spatial fishing effort.

Original language	English
Pages (from-to)	1984-1986
Number of pages	3
Journal	Ecological Modelling
Volume	220
Issue number	17
DOIs	https://doi.org/10.1016/j.ecolmodel.2009.04.041
Publication status	Published - 2009

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10.1016/j.ecolmodel.2009.04.041

Cite this

Christensen, V., Walters, C. J., Ahrens, R., Alder, J., Buszowski, J., Christensen, L. B., Cheung, W. W. L., Dunne, J., Froese, R., Karpouzi, V., Kaschner, K., Kearney, K., Lai, S., Lam, V., Palomares, M. L. D., Peters-Mason, A., Piroddi, C., Sarmiento, J. L., Steenbeek, J., ... Pauly, D. (2009). Database-driven models of the world's Large Marine Ecosystems. Ecological Modelling, 220(17), 1984-1986. https://doi.org/10.1016/j.ecolmodel.2009.04.041

Christensen, Villy ; Walters, Carl J. ; Ahrens, Robert ; Alder, Jacqueline ; Buszowski, Joe ; Christensen, Line Bang ; Cheung, William W. L. ; Dunne, John ; Froese, Rainer ; Karpouzi, Vasiliki ; Kaschner, Kristin ; Kearney, Kelly ; Lai, Sherman ; Lam, Vicki ; Palomares, Maria L. D. ; Peters-Mason, Aja ; Piroddi, Chiara ; Sarmiento, Jorge L. ; Steenbeek, Jeroen ; Sumaila, Rashid ; Watson, Reg ; Zeller, Dirk ; Pauly, Daniel. / Database-driven models of the world's Large Marine Ecosystems. In: Ecological Modelling. 2009 ; Vol. 220, No. 17. pp. 1984-1986.

@article{0dcbba24851943598dc42db0567acf1e,

title = "Database-driven models of the world's Large Marine Ecosystems",

abstract = "We present a new methodology for database-driven ecosystem model generation and apply the methodology to the world's 66 currently defined Large Marine Ecosystems. The method relies on a large number of spatial and temporal databases, including FishBase, SeaLifeBase, as well as several other databases developed notably as part of the Sea Around Us project. The models are formulated using the freely available Ecopath with Ecosim (EwE) modeling approach and software. We tune the models by fitting to available time series data, but recognize that the models represent only a first-generation of database-driven ecosystem models. We use the models to obtain a first estimate of fish biomass in the world's LMEs. The biggest hurdles at present to further model development and validation are insufficient time series trend information, and data on spatial fishing effort.",

author = "Villy Christensen and Walters, {Carl J.} and Robert Ahrens and Jacqueline Alder and Joe Buszowski and Christensen, {Line Bang} and Cheung, {William W. L.} and John Dunne and Rainer Froese and Vasiliki Karpouzi and Kristin Kaschner and Kelly Kearney and Sherman Lai and Vicki Lam and Palomares, {Maria L. D.} and Aja Peters-Mason and Chiara Piroddi and Sarmiento, {Jorge L.} and Jeroen Steenbeek and Rashid Sumaila and Reg Watson and Dirk Zeller and Daniel Pauly",

year = "2009",

doi = "10.1016/j.ecolmodel.2009.04.041",

language = "English",

volume = "220",

pages = "1984--1986",

journal = "Ecological Modelling",

issn = "0304-3800",

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number = "17",

}

Christensen, V, Walters, CJ, Ahrens, R, Alder, J, Buszowski, J, Christensen, LB, Cheung, WWL, Dunne, J, Froese, R, Karpouzi, V, Kaschner, K, Kearney, K, Lai, S, Lam, V, Palomares, MLD, Peters-Mason, A, Piroddi, C, Sarmiento, JL, Steenbeek, J, Sumaila, R, Watson, R, Zeller, D & Pauly, D 2009, 'Database-driven models of the world's Large Marine Ecosystems', Ecological Modelling, vol. 220, no. 17, pp. 1984-1986. https://doi.org/10.1016/j.ecolmodel.2009.04.041

Database-driven models of the world's Large Marine Ecosystems. / Christensen, Villy; Walters, Carl J.; Ahrens, Robert; Alder, Jacqueline; Buszowski, Joe; Christensen, Line Bang; Cheung, William W. L.; Dunne, John; Froese, Rainer; Karpouzi, Vasiliki; Kaschner, Kristin; Kearney, Kelly; Lai, Sherman; Lam, Vicki; Palomares, Maria L. D.; Peters-Mason, Aja; Piroddi, Chiara; Sarmiento, Jorge L.; Steenbeek, Jeroen; Sumaila, Rashid; Watson, Reg; Zeller, Dirk; Pauly, Daniel.

In: Ecological Modelling, Vol. 220, No. 17, 2009, p. 1984-1986.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Database-driven models of the world's Large Marine Ecosystems

AU - Christensen, Villy

AU - Walters, Carl J.

AU - Ahrens, Robert

AU - Alder, Jacqueline

AU - Buszowski, Joe

AU - Christensen, Line Bang

AU - Cheung, William W. L.

AU - Dunne, John

AU - Froese, Rainer

AU - Karpouzi, Vasiliki

AU - Kaschner, Kristin

AU - Kearney, Kelly

AU - Lai, Sherman

AU - Lam, Vicki

AU - Palomares, Maria L. D.

AU - Peters-Mason, Aja

AU - Piroddi, Chiara

AU - Sarmiento, Jorge L.

AU - Steenbeek, Jeroen

AU - Sumaila, Rashid

AU - Watson, Reg

AU - Zeller, Dirk

AU - Pauly, Daniel

PY - 2009

Y1 - 2009

N2 - We present a new methodology for database-driven ecosystem model generation and apply the methodology to the world's 66 currently defined Large Marine Ecosystems. The method relies on a large number of spatial and temporal databases, including FishBase, SeaLifeBase, as well as several other databases developed notably as part of the Sea Around Us project. The models are formulated using the freely available Ecopath with Ecosim (EwE) modeling approach and software. We tune the models by fitting to available time series data, but recognize that the models represent only a first-generation of database-driven ecosystem models. We use the models to obtain a first estimate of fish biomass in the world's LMEs. The biggest hurdles at present to further model development and validation are insufficient time series trend information, and data on spatial fishing effort.

AB - We present a new methodology for database-driven ecosystem model generation and apply the methodology to the world's 66 currently defined Large Marine Ecosystems. The method relies on a large number of spatial and temporal databases, including FishBase, SeaLifeBase, as well as several other databases developed notably as part of the Sea Around Us project. The models are formulated using the freely available Ecopath with Ecosim (EwE) modeling approach and software. We tune the models by fitting to available time series data, but recognize that the models represent only a first-generation of database-driven ecosystem models. We use the models to obtain a first estimate of fish biomass in the world's LMEs. The biggest hurdles at present to further model development and validation are insufficient time series trend information, and data on spatial fishing effort.

U2 - 10.1016/j.ecolmodel.2009.04.041

DO - 10.1016/j.ecolmodel.2009.04.041

M3 - Article

VL - 220

SP - 1984

EP - 1986

JO - Ecological Modelling

JF - Ecological Modelling

SN - 0304-3800

IS - 17

ER -