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On the analysis of monitoring data: testing for no trend in population size


Schmidt, B R; Meyer, A H (2008). On the analysis of monitoring data: testing for no trend in population size. Journal for Nature Conservation, 16(3):157-163.

Abstract

The goal of a monitoring program is to find out whether the size of a population is stable, declining, or increasing over time. Whereas statistical tests for temporal trends are straightforward, there is no test for no change or stability. We propose that the combination of traditional trend analyses such as linear regression and tests for density dependence may be used for population stability analyses. We illustrate the approach by analyzing a data set from an orchid monitoring program. Combining
statistical tests for temporal trends with tests for statistically significant density dependence is a useful and simple tool in the analysis of monitoring data.

Abstract

The goal of a monitoring program is to find out whether the size of a population is stable, declining, or increasing over time. Whereas statistical tests for temporal trends are straightforward, there is no test for no change or stability. We propose that the combination of traditional trend analyses such as linear regression and tests for density dependence may be used for population stability analyses. We illustrate the approach by analyzing a data set from an orchid monitoring program. Combining
statistical tests for temporal trends with tests for statistically significant density dependence is a useful and simple tool in the analysis of monitoring data.

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5 citations in Web of Science®
6 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Evolutionary Biology and Environmental Studies
Dewey Decimal Classification:570 Life sciences; biology
590 Animals (Zoology)
Uncontrolled Keywords:Management, Monitoring, Orchid, Population stability, Trend analysis
Language:English
Date:2008
Deposited On:01 Dec 2008 12:14
Last Modified:05 Apr 2016 12:33
Publisher:Elsevier
ISSN:1617-1381
Publisher DOI:https://doi.org/10.1016/j.jnc.2008.05.001

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