Occupancy estimation and modeling with multiple states and state uncertainty

By: , and 



The distribution of a species over space is of central interest in ecology, but species occurrence does not provide all of the information needed to characterize either the well-being of a population or the suitability of occupied habitat. Recent methodological development has focused on drawing inferences about species occurrence in the face of imperfect detection. Here we extend those methods by characterizing occupied locations by some additional state variable ( e. g., as producing young or not). Our modeling approach deals with both detection probabilities,1 and uncertainty in state classification. We then use the approach with occupancy and reproductive rate data from California Spotted Owls (Strix occidentalis occidentalis) collected in the central Sierra Nevada during the breeding season of 2004 to illustrate the utility of the modeling approach. Estimates of owl reproductive rate were larger than naive estimates, indicating the importance of appropriately accounting for uncertainty in detection and state classification.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Occupancy estimation and modeling with multiple states and state uncertainty
Series title Ecology
Volume 88
Issue 6
Year Published 2007
Language English
Contributing office(s) Patuxent Wildlife Research Center
Description 1395-1400
Larger Work Type Article
Larger Work Subtype Journal Article
Larger Work Title Ecology
First page 1395
Last page 1400