Model selection and assessment for multi-species occupancy models-Reference-Cited by-同舟云学术

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Model selection and assessment for multi-species occupancy models

Published:2016-07 Issue:7 Volume:97 Page:1759-1770
ISSN:0012-9658
Container-title:Ecology
language:en
Short-container-title:Ecology

Author:

Broms Kristin M.¹,Hooten Mevin B.¹²³,Fitzpatrick Ryan M.⁴

Affiliation:

1. Department of Fish, Wildlife, and Conservation Biology; Colorado State University; Fort Collins Colorado 80523 USA

2. Colorado Cooperative Fish and Wildlife Unit; U.S. Geological Survey; Fort Collins Colorado 80523 USA

3. Department of Statistics; Colorado State University; Fort Collins Colorado 80523 USA

4. Aquatic Wildlife Research Group; Colorado Parks and Wildlife; Fort Collins Colorado 80523 USA

Funder

Colorado Parks and Wildlife

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

Reference77 articles.

1. Bayesian residual analysis for binary response regression models;Albert;Biometrika,1995

2. Truth, models, model sets, AIC, and multimodel inference: a Bayesian perspective;Barker;The Journal of Wildlife Management,2015

3. Accounting for imperfect detection in Hill numbers for biodiversity studies;Broms;Methods in Ecology and Evolution,2015

4. Hierarchical multi-species modeling of carnivore responses to hunting, habitat and prey in a West African protected area;Burton;PLoS ONE,2012

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3. Vegetation canopy height shapes bats’ occupancy: a remote sensing approach;GIScience & Remote Sensing;2024-07-17

4. Predicting species abundance using machine learning approach: a comparative assessment of random forest spatial variants and performance metrics;Modeling Earth Systems and Environment;2024-06-12

5. Occupancy models with autocorrelated detection heterogeneity;Environmental and Ecological Statistics;2024-06-09

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