On the consequences of aggregation and balancing of networks on system properties derived from ecological network analysis

被引:64
作者
Baird, Dan [1 ]
Fath, Brian D. [2 ,3 ]
Ulanowicz, Robert E. [4 ,5 ]
Asmus, Harald [6 ]
Asmus, Ragnhild [6 ]
机构
[1] Univ Stellenbosch, Dept Bot & Zool, ZA-7602 Stellenbosch, South Africa
[2] Towson Univ, Dept Biol, Towson, MD 21252 USA
[3] Int Inst Appl Syst Anal, Dynam Syst Program, Laxenburg, Austria
[4] Univ Maryland, Ctr Environm Sci, Chesapeake Biol Lab, Solomons, MD 20688 USA
[5] Univ Florida, Dept Bot & Zool, Gainesville, FL 32611 USA
[6] Alfred Wegener Inst, Wattenmeerstn, D-25992 List Auf Sylt, Germany
关键词
Ecological network analysis; Steady state models; Non-steady state models; Balancing; Aggregation; Trophic dynamics; System indices; Sylt-Romo Bight; SYLT-ROMO BIGHT; FOOD WEBS; TROPHIC STRUCTURE; ENVIRON ANALYSIS; STEADY-STATE; ENERGY-FLOW; ECOSYSTEM; ESTUARIES; LEVEL;
D O I
10.1016/j.ecolmodel.2009.09.008
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
In the ecological network analysis (ENA) of complex flow food webs the assumption is often made that the models characterizing the flows and stocks of ecosystems occur in a steady state where inflows equals outflows. An assessment of the system indices derived from ENA of six balanced and unbalanced system models, respectively, indicate to differences between indices. The aggregation of highly articulated flow models into models with fewer compartments also has drastic effects on the system metrics, particularly on the information indices. (C) 2009 Elsevier B.V. All rights reserved.
引用
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页码:3465 / 3471
页数:7
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