Estimating the effects of detection heterogeneity and overdispersion on trends estimated from avian point counts

Keyphrases

• Statistical Distribution 100%
• Overdispersion 100%
• Point Count 100%
• Detection Heterogeneity 100%
• National Forests 66%
• Detection Probability 66%
• Stand Type 66%
• Negative Binomial 66%
• Poisson-binomial Distribution 66%
• Zero-inflated Poisson 66%
• Removal Model 66%
• Great Lakes 33%
• Statistical Methods 33%
• Temporal Patterns 33%
• Warbler 33%
• Confounding 33%
• Poisson 33%
• Monitoring Data 33%
• Sampling Effort 33%
• Abundance Trends 33%
• Imperfect Detection 33%
• Mixture Distribution 33%
• Mixture Approach 33%
• Distribution Trends 33%
• Observer Effect 33%
• Brown Creeper 33%
• Yellow Warbler 33%
• Avian Abundance 33%
• Design Effort 33%
• Trend Estimates 33%
• Avian Distribution 33%

Mathematics

• Overdispersion 100%
• Statistical Distribution 100%
• Negative Binomial 66%
• Detectability 66%
• Detection Probability 66%
• Poisson Distribution 33%
• Imperfect Detection 33%
• Estimate Abundance 33%
• Confounding 33%
• Mixture Distribution 33%
• Design Experiment 33%

Agricultural and Biological Sciences

• National Forests 100%
• Aves 100%
• Poisson Distribution 50%
• Design Experiment 50%