Chapter

Nonspatial Statistical Modeling of Plant Diversity

Thomas J. Stohlgren

in Measuring Plant Diversity

Published in print November 2006 | ISBN: 9780195172331
Published online September 2007 | e-ISBN: 9780199790395 | DOI: http://dx.doi.org/10.1093/acprof:oso/9780195172331.003.0013
 Nonspatial Statistical Modeling of Plant Diversity

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This chapter presents selected examples of non-spatial statistical modeling of plant diversity including correlation and simple regression, multiple regression, path coefficient analysis, canonical correspondence analysis, regression tree analysis, and logistic regression. It provides more details and considerations in their applications. Data from published studies are used to illustrate typical applications and interpretations of results to address several commonly asked questions from students. Suggestions and recommendations are also provided, including: having clear analysis objectives in mind, testing multiple techniques, and considering spatial analysis following non-spatial modeling of plant diversity.

Keywords: simple regression; multiple regression; path coefficient analysis; canonical correspondence analysis; regression tree analysis; logistic regression

Chapter.  5104 words.  Illustrated.

Subjects: Plant Sciences and Forestry

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