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Neue statistische Verfahren zur Analyse von Monitoring- und Verbreitungsdaten von Amphibien und Reptilien


Schmidt, Benedikt R (2008). Neue statistische Verfahren zur Analyse von Monitoring- und Verbreitungsdaten von Amphibien und Reptilien. Zeitschrift für Feldherpetologie, 15(1):1-14.

Abstract

New statistical models allow estimating the proportion of sites occupied by a species even if it is not always detected at an occupied site. These models are also useful for the analysis of monitoring data. A prerequisite for the use of this kind of models is that at least some, and possibly all, sites are visited repeatedly (at least twice). Here, I explain how these models work and discuss the underlying assumptions. As an example for illustration, I apply these models to the historic and current distribution of the adder (Vipera berus) in Switzerland.

Abstract

New statistical models allow estimating the proportion of sites occupied by a species even if it is not always detected at an occupied site. These models are also useful for the analysis of monitoring data. A prerequisite for the use of this kind of models is that at least some, and possibly all, sites are visited repeatedly (at least twice). Here, I explain how these models work and discuss the underlying assumptions. As an example for illustration, I apply these models to the historic and current distribution of the adder (Vipera berus) in Switzerland.

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Additional indexing

Item Type:Journal Article, refereed, further contribution
Communities & Collections:07 Faculty of Science > Institute of Evolutionary Biology and Environmental Studies
Dewey Decimal Classification:570 Life sciences; biology
590 Animals (Zoology)
Scopus Subject Areas:Life Sciences > Ecology, Evolution, Behavior and Systematics
Life Sciences > Animal Science and Zoology
Uncontrolled Keywords:Data analysis, detection probability, distribution, habitats directive, monitoring, statistical models, Vipera berus
Language:German
Date:2008
Deposited On:05 Mar 2008 08:43
Last Modified:24 Jun 2022 09:15
Publisher:Laurenti-Verlag
ISSN:0946-7998
OA Status:Closed
Official URL:http://www.laurenti.de