Guillera-Arroita, Gurutzeta, Ridout, Martin S., Morgan, Byron J. T. (2010) Design of occupancy studies with imperfect detection. Methods in Ecology and Evolution, 1 (2). pp. 131-139. ISSN 2041-210X. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:33014)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication) |
Abstract
1. Occupancy is an important concept in ecology. To obtain an unbiased estimator of occupancy it
at the sites being sampled. As the allocation of total effort can be done in different ways, occupancy
2. In this paper we address the design of single-season single-species occupancy studies with a focus
of the detectability estimator as a criterion for design. We explore analytically the model with con-
licates used.
large sample approximations, emphasize the need to use simulations when designing for small sam-
4. We offer advice on the amount of replication needed when the probability of detection is a quan-
increase the amount of replication per site compared with situations where only occupancy is of
5. Synthesis and applications. It is essential to have clearly stated objectives before starting a study
done in different ways, occupancy studies should be designed carefully to ensure an efficient use of
expected from a particular study design. The discussion and guidance provided here is of special
the context of ecology and conservation.
Item Type: | Article |
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Uncontrolled keywords: | imperfect detection, occupancy, small sample size, study design |
Subjects: |
Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics Q Science > QH Natural history > QH541 Ecology |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |
Depositing User: | Byron Morgan |
Date Deposited: | 17 Jan 2013 17:45 UTC |
Last Modified: | 16 Feb 2021 12:44 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/33014 (The current URI for this page, for reference purposes) |
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