Fitting N-mixture models to count data with unmodeled heterogeneity: Bias, diagnostics, and alternative approaches

Author:

Duarte Adam,Adams Michael J.,Peterson James T.

Funder

Metropolitan Water District of Southern California

U.S. Geological Survey Amphibian Research and Monitoring Initiative

U.S. Geological Survey

U.S. Fish and Wildlife Service

Oregon Department of Fish and Wildlife, Oregon State University

Wildlife Management Institute

Publisher

Elsevier BV

Subject

Ecological Modelling

Reference58 articles.

1. Detecting declines in the abundance of a bull trout (Salvelinus confluentus) population: understanding the accuracy, precision, and costs of our efforts;Al-Chokhachy;Can. J. Fish. Aquat. Sci.,2009

2. Estimating detection probability parameters for Plethodon salamanders using the robust capture-recapture design;Bailey;J. Wildl. Manage.,2004

3. On the reliability of N-mixture models for count data;Barker;Biometrics,2017

4. Fitting linear mixed-effects models using lme4;Bates;J. Stat. Softw.,2015

5. Simulation-based assessment of dynamic N-mixture models in the presence of density dependence and environmental stochasticity;Bellier;Methods Ecol. Evol.,2016

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