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AuthorSalehi, Mohammad
AuthorBrown, Jennifer A.
Available date2023-10-02T05:16:13Z
Publication Date2010
Publication NamePopulation Ecology
ResourceScopus
ISSN14383896
URIhttp://dx.doi.org/10.1007/s10144-010-0196-7
URIhttp://hdl.handle.net/10576/48162
AbstractAdaptive sampling designs are becoming increasingly popular in environmental science, particularly for surveying rare and aggregated populations. An adaptive sample is one in which the survey design is modified, or adapted, in some way on the basis of information gained during the survey. There are many different adaptive survey designs that can be used to estimate animal and plant abundance. In adaptive cluster sampling, additional sample effort is allocated during the survey to the immediate neighborhood in which the species is found. In adaptive stratified sampling, additional sample effort is allocated during the survey to strata of high abundance. The appealing feature of these adaptive designs is that the field biologist gets to do what innately seems sensible when working with rare and aggregated populations-field effort is targeted around where the species is observed in the first wave of the survey. However, there are logistical challenges of applying this principle of targeted field effort while remaining in the framework of probability-based sampling. We propose a simplified adaptive survey design that incorporates both targeting field effort and being logistically feasible. We show with a case study population of rockfish that complete allocation stratified sampling is a very efficient design.
Languageen
PublisherWiley
SubjectAbundance estimation
Clustered populations
Rare population
Unbiased estimator
TitleComplete allocation sampling: An efficient and easily implemented adaptive sampling design
TypeArticle
Pagination451-456
Issue Number3
Volume Number52
dc.accessType Abstract Only


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