TIME-OF-DETECTION METHOD FOR ESTIMATING ABUNDANCE FROM POINT-COUNT SURVEYS
By M. Alldredge, K. Pollock, Theodore Simons, J. Collazo, S. Shriner. 2007
148 citations recorded by the source corpus.
Subfields: Ecology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/dc1436b9be2b8b37730899141db67699617e50ef
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Douglas H. Johnson
- L. Thomas
- P. B. Conn
- James D. Nichols
- Erin M. Bayne
- F. Schmiegelow
- Steven M. Matsuoka
- Subhash R. Lele
In Statistics and Probability
- Douglas H. Johnson
- L. Thomas
- P. B. Conn
- James D. Nichols
- Samantha J. Song
- Erin M. Bayne
- Diana Stralberg
- F. Schmiegelow
Citations in the corpus
- Inferences About Landbird Abundance from Count Data: Recent Advances and Future Directions (2009, methodology): “This approach may also offer a partial solution to the sample size requirements if rarer species can be combined with more common ones and species used as a detection function covariate (Alldredge et al. 2007b).”
- Calibrating indices of avian density from non‐standardized survey data: making the most of a messy situation (2013, methodology): “Methods in Ecology and Evolution © 2013 British Ecological Society been not been widely applied (Burnham et al. 2004; Farnsworth et al. 2005; Alldredge et al. 2007a), but products of marginal estimates of p and q have been used as detection probability (Handel et al. 2009).”
- In Defense of Indices: The Case of Bird Surveys (2008, methodology): “In addition, Alldredge et al. (2007a) incorporated covariates, such as distance, in the models.”