Time series sightability modeling of animal populations.
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...
Main Authors: | Althea A ArchMiller, Robert M Dorazio, Katherine St Clair, John R Fieberg |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2018-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC5766105?pdf=render |
Similar Items
-
Estimating Population Abundance Using Sightability Models: R SightabilityModel Package
by: John R. Fieberg
Published: (2012-11-01) -
Accounting for imperfect detection in observational studies: modeling wolf sightability in Yellowstone National Park
by: Matthew C. Metz, et al.
Published: (2020-06-01) -
Partitioning Longleaf Pine Soil Respiration into Its Heterotrophic and Autotrophic Components through Root Exclusion
by: Althea A. ArchMiller, et al.
Published: (2016-02-01) -
Practical Bias Correction in Aerial Surveys of Large Mammals: Validation of Hybrid Double-Observer with Sightability Method against Known Abundance of Feral Horse (Equus caballus) Populations.
by: Bruce C Lubow, et al.
Published: (2016-01-01) -
Effectiveness of Fungicide on Soybean Rust in the Southeastern United States: A Meta-Analysis
by: Mary Delaney, et al.
Published: (2018-05-01)