Improving Precision and Reducing Bias in Biological Surveys: Estimating False-Negative Error Rates

The use of presence/absence data in wildlife management and biological surveys is widespread. There is a growing interest in quantifying the sources of error associated with these data. We show that false-negative errors (failure to record a species when in fact it is present) can have a significant...

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Veröffentlicht in:	Ecological applications 2003-12, Vol.13 (6), p.1790-1801
Hauptverfasser:	Tyre, Andrew J., Tenhumberg, Brigitte, Field, Scott A., Darren Niejalke, Kirsten Parris, Possingham, Hugh P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Binomials biological surveys Birds Ecological modeling Error rates false-negative errors Forest habitats Frogs habitat effects Modeling Parametric models presence–absence data Species Wildlife habitats zero-inflated binomial (ZIB) model
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