Occupancy estimation for rare species using a spatially‐adaptive sampling design-Reference-Cited by-同舟云学术

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Occupancy estimation for rare species using a spatially‐adaptive sampling design

Published:2015-12-06 Issue:3 Volume:7 Page:285-293
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Pacifici Krishna¹,Reich Brian J.²,Dorazio Robert M.³,Conroy Michael J.⁴

Affiliation:

1. Department of Applied Ecology North Carolina State University Raleigh NC 27695 USA

2. Department of Statistics North Carolina State University Raleigh NC 27695 USA

3. Southeast Ecological Science Center U.S. Geological Survey Gainesville FL 32653 USA

4. Warnell School of Forestry and Natural Resources University of Georgia Athens GA 30602 USA

Funder

Ministry of Science and Technology

National Natural Science Foundation of China

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.12499

Reference58 articles.

1. A Bayesian hierarchical occupancy model for track surveys conducted in a series of linear, spatially correlated, sites

2. Multiple-species analysis of point count data: a more parsimonious modelling framework

3. Advances and applications of occupancy models

4. Adaptive survey designs for sampling rare and clustered populations

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