Show simple item record

dc.contributor.authorWeckerly, Floyd W.
dc.contributor.authorWarren, Christopher C.
dc.contributor.authorVeech, Joseph A.
dc.contributor.authorO'Donnell, Lisa
dc.contributor.authorOtt, James R.
dc.date.accessioned2016-05-09T20:53:49Z
dc.date.available2016-05-09T20:53:49Z
dc.date.issued2013
dc.identifier.citationWarren, C. C., Veech, J. A., Weckerly, F. W., O'Donnell, L., Ott, J. R. (2013). Detection heterogeneity and abundance estimation in populations of golden-cheeked warblers (Setophaga Chrysoparia). The Auk, 130(4), pp. 677-688.en_US
dc.identifier.issn1938-4254
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/5980
dc.description.abstractAbundance estimators that account for imperfect detection, such as N-mixture models, assume that detection of individuals is independent of abundance. Using spot-mapping and N-mixture models applied to point-count data, we estimated abundance of Golden cheeked Warblers (Setophaga chrysoparia) in two years at six study sites at the Balcones Canyonlands Preserve, Austin, Texas. N-mixture model estimates deviated from spot-mapping estimates at the site level by overestimating at low abundances, and at the survey-station level by underestimating at high abundance, which suggests that model assumptions may have been violated. We tested whether detection of individuals is influenced by abundance by assessing per capita song rate in relation to abundance. Per capita song rate increased with abundance, illustrating how the behavior of a territorial passerine may violate the independent-detectability assumption. We next explored violation of this assumption at the survey-station level by applying N-mixture models to simulated data exhibiting heterogeneity in detection. This exercise revealed a slight but increasingly negative bias (underestimation of abundance) in the estimator as the actual abundance increased, given positive density-dependent detection. The simulations also revealed a potential effect of sampling variation on misestimation by N-mixture model estimators. Assessing the strength, basis, and prevalence of density-dependent detection; further analyzing the effects of nonrandom heterogeneity in producing estimator bias; and accounting for nonrandom detection heterogeneity in abundance estimators are fruitful areas for further study. Received 31 January 2013, accepted 13 September 2013.en_US
dc.formatText
dc.format.extent12 pages
dc.format.medium1 file (.pdf)
dc.language.isoen_US
dc.publisherThe American Ornithologists Unionen_US
dc.subjectDetection probabilityen_US
dc.subjectGolden-cheeked Warbleren_US
dc.subjectSetophaga chrysopariaen_US
dc.subjectAbundance estimatorsen_US
dc.subjectN-mixture modelen_US
dc.subjectSong rateen_US
dc.titleDetection Heterogeneity and Abundance Estimation in Populations of Golden-Cheeked Warblers (Setophaga Chrysoparia)en_US
txstate.documenttypeArticleen_US
dc.identifier.doihttps://doi.org/10.1525/auk.2013.13022
txstate.departmentBiology


Download

Thumbnail

This item appears in the following Collection(s)

Show simple item record