Accounting for non‐independent detection when estimating abundance of organisms with a Bayesian approach
By Julien Martin, J. Andrew Royle, D. MacKenzie, Holly H. Edwards, Marc Kéry, Beth Gardner. 2011
94 citations recorded by the source corpus.
Subfields: Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/f1d27d3441e1add48a3ac2f0482f3887ecd5062e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
In Nature and Landscape Conservation
Citations in the corpus
- Home range size of adult Indo-Pacific bottlenose dolphins (Tursiops aduncus) in a coastal and estuarine system is habitat and sex-specific (2016, background): “Values close to 0.5 suggest no evidence of poor model fit, whereas P-values close to 0 or 1 suggests a poor model fit (Martin et al. 2011).”
- Sensitivity of binomial N‐mixture models to overdispersion: The importance of assessing model fit (2018, background): “Previous studies have found that abundance can be severely overestimated under N-mixture models when detection probabilities vary randomly among visits and that such overdispersion may be dealt with using a beta-binomial detection model (Martin et al., 2011).”