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<record>
<title>Hierarchicalization of chaotic food webs using Interpretive Structural 
Modeling</title>
<authors>
<author>Ping Liang</author>
<author>WenJun Zhang</author>
</authors>
<journal>Network Biology</journal>
<issn>ISSN 2220-8879</issn>
<homepage>http://www.iaees.org/publications/journals/nb/online-version.asp</homepage>
<year>2013</year>
<volume>3</volume>
<issue>3</issue>
<startpage>106</startpage>
<endpage>114</endpage>
<date>09/2013</date>
<publisher>International Academy of Ecology and Environmental Sciences</publisher>
<keywords>
<keyword>Interpretive Structural Modeling</keyword>
<keyword>food web</keyword>
<keyword>hierarchicalization</keyword>
</keywords>
<abstract>
Ecologists always meet complex food webs without clear hierarchical structure. At certain degree it will retard further analysis of food webs. In present study we transferred chaotic food webs into hierarchicalized food webs using Interpretive Structural Modeling (ISM). As an example, the hierarchical structure of seven food webs was clearly identified and defined using ISM. ISM was thus proven to be effective.
</abstract>
<doi>DOI 10.0000/issn-2220-8879-networkbiology-2013-v3-0010</doi>
<url>http://www.iaees.org/publications/journals/nb/articles/2013-3(3)/hierarchicalization-of-chaotic-food-webs-using-ISM.pdf</url>
</record>
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