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Measuring Plant DiversityLessons from the Field$
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Thomas J. Stohlgren

Print publication date: 2006

Print ISBN-13: 9780195172331

Published to Oxford Scholarship Online: September 2007

DOI: 10.1093/acprof:oso/9780195172331.001.0001

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Nonspatial Statistical Modeling of Plant Diversity

Nonspatial Statistical Modeling of Plant Diversity

Chapter:
(p.239) 13 Nonspatial Statistical Modeling of Plant Diversity
Source:
Measuring Plant Diversity
Author(s):

Thomas J. Stohlgren

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195172331.003.0013

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

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