Estimating Site Occupancy Rates When Detection Probabilities Are Less Than One

Nondetection of a species at a site does not imply that the species is absent unless the probability of detection is 1. We propose a model and likelihood-based method for estimating site occupancy rates when detection probabilities are < 1. The model provides a flexible framework enabling covaria...

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Veröffentlicht in:Ecology (Durham) 2002-08, Vol.83 (8), p.2248-2255
Hauptverfasser: MacKenzie, Darryl I., Nichols, James D., Lachman, Gideon B., Droege, Sam, Royle, J. Andrew, Langtimm, Catherine A.
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container_end_page 2255
container_issue 8
container_start_page 2248
container_title Ecology (Durham)
container_volume 83
creator MacKenzie, Darryl I.
Nichols, James D.
Lachman, Gideon B.
Droege, Sam
Royle, J. Andrew
Langtimm, Catherine A.
description Nondetection of a species at a site does not imply that the species is absent unless the probability of detection is 1. We propose a model and likelihood-based method for estimating site occupancy rates when detection probabilities are < 1. The model provides a flexible framework enabling covariate information to be included and allowing for missing observations. Via computer simulation, we found that the model provides good estimates of the occupancy rates, generally unbiased for moderate detection probabilities (>0.3). We estimated site occupancy rates for two anuran species at 32 wetland sites in Maryland, USA, from data collected during 2000 as part of an amphibian monitoring program, Frog-watch USA. Site occupancy rates were estimated as 0.49 for American toads (Bufo americanus), a 44% increase over the proportion of sites at which they were actually observed, and as 0.85 for spring peepers (Pseudacris crucifer), slightly above the observed proportion of 0.83.
doi_str_mv 10.1890/0012-9658(2002)083[2248:ESORWD]2.0.CO;2
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Andrew</creatorcontrib><creatorcontrib>Langtimm, Catherine A.</creatorcontrib><title>Estimating Site Occupancy Rates When Detection Probabilities Are Less Than One</title><title>Ecology (Durham)</title><description>Nondetection of a species at a site does not imply that the species is absent unless the probability of detection is 1. We propose a model and likelihood-based method for estimating site occupancy rates when detection probabilities are &lt; 1. The model provides a flexible framework enabling covariate information to be included and allowing for missing observations. Via computer simulation, we found that the model provides good estimates of the occupancy rates, generally unbiased for moderate detection probabilities (&gt;0.3). We estimated site occupancy rates for two anuran species at 32 wetland sites in Maryland, USA, from data collected during 2000 as part of an amphibian monitoring program, Frog-watch USA. 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subjects Amphibians
Animal and plant ecology
Animal populations
Animal, plant and microbial ecology
Animals
anurans
Autoecology
Biological and medical sciences
bootstrap
Bufo americanus
detection probability
Ecological modeling
Estimation methods
Freshwater
Fundamental and applied biological sciences. Psychology
General aspects. Techniques
Herpetology
Mark release recapture
maximum likelihood
metapopulation
Metapopulation ecology
Methods and techniques (sampling, tagging, trapping, modelling...)
monitoring
Parametric models
patch occupancy
Predictions
Probabilities
Pseudacris crucifer
Reptilia. Amphibia
site occupancy
Species
Standard error
Vertebrata
Wildlife ecology
title Estimating Site Occupancy Rates When Detection Probabilities Are Less Than One
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