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

被引：69

作者：

Christensen, Villy ^{[1
]}

Walters, Carl J. ^{[1
]}

Ahrens, Robert ^{[1
]}

Alder, Jacqueline ^{[2
]}

Buszowski, Joe ^{[1
]}

Christensen, Line Bang ^{[1
]}

Cheung, William W. L. ^{[1
,3
]}

Dunne, John ^{[4
]}

Froese, Rainer ^{[5
]}

Karpouzi, Vasiliki ^{[1
]}

Kaschner, Kristin ^{[6
]}

Kearney, Kelly ^{[7
]}

Lai, Sherman ^{[1
]}

Lam, Vicki ^{[1
]}

Palomares, Maria L. D. ^{[1
,8
]}

Peters-Mason, Aja ^{[9
]}

Piroddi, Chiara ^{[1
]}

Sarmiento, Jorge L. ^{[7
]}

Steenbeek, Jeroen ^{[1
]}

Sumaila, Rashid ^{[1
]}

Watson, Reg ^{[1
]}

Zeller, Dirk ^{[1
]}

Pauly, Daniel ^{[1
]}

机构：

[1] Univ British Columbia, Fisheries Ctr, Vancouver, BC V6T 2K9, Canada

[2] United Nations Environm Program, Nairobi, Kenya

[3] Univ E Anglia, Norwich NR4 7TJ, Norfolk, England

[4] NOAA, Geophys Fluid Dynam Lab, Princeton, NJ USA

[5] Leibniz Inst Meereswissensch, IFM, GEOMAR, Kiel, Germany

[6] Univ Freiburg, Inst Biol Zool 1, D-7800 Freiburg, Germany

[7] Princeton Univ, Atmospher & Ocean Sci Program, Princeton, NJ 08544 USA

[8] WorldFish Ctr, SeaLifeBase Project, Los Banos, Philippines

[9] Marine Conservat Biol Inst, Bellevue, WA USA

来源：

ECOLOGICAL MODELLING | 2009年 / 220卷 / 17期

关键词：

Ecopath with Ecosim; Ecosystem model; Global modeling; LME; GLOBAL FISHERIES; EXPLOITED ECOSYSTEMS; NATURAL MORTALITY; ECOPATH; FISH; IMPACTS; BIOMASS; CATCHES; ECOSIM; CARBON;

D O I：

10.1016/j.ecolmodel.2009.04.041

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

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. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：1984 / 1996

页数：13

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