An adaptive two-stage sequential design for sampling rare and clustered populations
Population Ecology
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Abstract
How to design an efficient large-area survey continues to be an interesting question for ecologists. In sampling large areas, as is common in environmental studies, adaptive sampling can be efficient because it ensures survey effort is targeted to subareas of high interest. In two-stage sampling, higher density primary sample units are usually of more interest than lower density primary units when populations are rare and clustered. Two-stage sequential sampling has been suggested as a method for allocating second stage sample effort among primary units. Here, we suggest a modification: adaptive two-stage sequential sampling. In this method, the adaptive part of the allocation process means the design is more flexible in how much extra effort can be directed to higher-abundance primary units. We discuss how best to design an adaptive two-stage sequential sample. ?? 2008 The Society of Population Ecology and Springer.
Suggested Citation
Brown, J., Salehi, M., Moradi, M., Bell, G., and Smith, D., 2008, An adaptive two-stage sequential design for sampling rare and clustered populations: Population Ecology, v. 50, no. 3, p. 239-245, https://doi.org/10.1007/s10144-008-0089-1.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | An adaptive two-stage sequential design for sampling rare and clustered populations |
| Series title | Population Ecology |
| DOI | 10.1007/s10144-008-0089-1 |
| Volume | 50 |
| Issue | 3 |
| Publication Date | May 21, 2008 |
| Year Published | 2008 |
| Language | English |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Population Ecology |
| First page | 239 |
| Last page | 245 |