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Statistical Analysis in Conservation Science

Bibliographic Data

ID18985263
AuthorsTerry J Reedy (University of Delaware, corresponding author), Chandra L Reedy (0000-0003-0894-6733, University of Delaware)
Year1994
Volume36
Issue1
Pages1-23
Publication date1994-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueArchaeometry (JOURNAL)
Journal identifiersISSN: 0003-813X • E-ISSN: 1475-4754
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.1475-4754.1994.tb01062.x
OpenAlexW1998454723
LanguageEN
Citations received1
References cited31

Statistical methods in conservation science are reviewed, with an emphasis on deterioration and treatment studies. A survey of all articles published in two major conservation journals during the period 1981–1992 shows that less than one-third of the papers reported any statistical analysis; most that did included only simple descriptive statistics. Basic components of experimental design that impact subsequent data analysis and interpretation are discussed in the context of conservation research. An overview is given of statistical methods particularly useful to conservation scientists. Some of the most important are correlation analysis, regression analysis, t-tests, analysis of variance, and the Kruskal-Wallis test

Biodiversity · Biology · Conservation science · Statistical analysis · Statistics · Conservation Techniques and Studies · Ecology · Mathematics · Species Distribution and Climate Change · Wildlife Ecology and Conservation

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Unique citing works1
Citations per year0,04
Citation span1998 - 1998 (1)
Citation velocityhistorical
Highly citedNo

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