Literature DB >> 27755671

Ecosystem Modeling with Lisrel: A New Approach for Measuring Direct and Indirect Effects.

Michael L Johnson, Donald G Huggins, F DeNoyelles.   

Abstract

Evaluating the effects of toxicants in ecosystems is difficult despite numerous attempts to develop field and laboratory tests. The problem appears to be the lack of an analytical methodology capable of taking advantage of the available experimental designs. Therefore, we propose a technique for modeling ecosystems-linear structural modeling with LISREL. LISREL is a path analytic technique that is more flexible than classical path analysis. Modeling with LISREL involves placing ecosystem structure and function into a framework of concepts and indicator variables. Concepts are theoretical constructs that are placed into a cause-and-effect network to reflect true ecosystem structure. Concepts are @indicated" by indicator variables; these are the measured variables in the ecosystem. LISREL incorporates measurement error into the modeling process by establishing a portion of the variance of each indicator variable as measurement error. The framework of concepts and indicators in a cause-and-effect network becomes a hypothesis that is tested using LISREL. LISREL also provides a determination of the total, direct, and indirect effects of the variables on each other. A measure of ecosystem stability is provided as part of the modeling process. © 1991 by the Ecological Society of America.

Year:  1991        PMID: 27755671     DOI: 10.2307/1941898

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  4 in total

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Authors:  J B Hyman; S G Leibowitz
Journal:  Environ Monit Assess       Date:  2001-02       Impact factor: 2.513

Review 2.  Temporal scales in ecological risk assessment.

Authors:  J Burger; M Gochfeld
Journal:  Arch Environ Contam Toxicol       Date:  1992-11       Impact factor: 2.804

3.  Correlates of lifetime reproductive success in three species of European ducks.

Authors:  Peter Blums; Robert G Clark
Journal:  Oecologia       Date:  2004-05-12       Impact factor: 3.225

4.  Effects of roads on giant panda distribution: a mountain range scale evaluation.

Authors:  Ke He; Qiang Dai; Xianghui Gu; Zejun Zhang; Jiang Zhou; Dunwu Qi; Xiaodong Gu; Xuyu Yang; Wen Zhang; Biao Yang; Zhisong Yang
Journal:  Sci Rep       Date:  2019-02-01       Impact factor: 4.379

  4 in total

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