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Time series sightability modeling of animal populations

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ArchMiller, A.A., Dorazio, R.M., St. Clair, Katherine, and Fieberg, J.R., 2018, Time series sightability modeling of animal populations: PLoS ONE, v. 13, no. 1, art. e0190706, https://doi.org/10.1371/journal.pone.0190706.

Summary

Logistic regression models—or “sightability models”—fit to detection/non-detection data from marked individuals are often used to adjust for visibility bias in later detection-only surveys, with population abundance estimated using a modified Horvitz-Thompson (mHT) estimator. More recently, a model-based alternative for analyzing combined detection/non-detection and detection-only data was developed. This approach seemed promising, since it resulted in similar estimates as the mHT when applied to data from moose (Alces alces) surveys in Minnesota. More importantly, it provided a framework for developing flexible models for analyzing multiyear detection-only survey data in combination with detection/non-detection data. During initial [...]

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Type Scheme Key
local-index unknown 70195156
local-pk unknown 70195156
doi http://www.loc.gov/standards/mods/mods-outline-3-5.html#identifier doi:10.1371/journal.pone.0190706
series unknown PLoS ONE

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citationTypeArticle
journalPLoS ONE
languageEnglish
parts
typevolume
value13
typeissue
value1

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