NDLI: Complete allocation sampling: an efficient and easily implemented adaptive sampling design

Content Provider	Springer Nature Link
Author	Salehi, Mohammad Brown, Jennifer A.
Copyright Year	2010
Abstract	Adaptive 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.
Starting Page	451
Ending Page	456
Page Count	6
File Format	PDF
ISSN	14383896
Journal	Population Ecology
Volume Number	52
Issue Number	3
e-ISSN	1438390X
Language	English
Publisher	Springer Japan
Publisher Date	2010-03-11
Publisher Place	Japan
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Abundance estimation Clustered populations Rare population Unbiased estimator Forestry Behavioural Sciences Evolutionary Biology Plant Sciences Zoology Ecology
Content Type	Text
Resource Type	Article
Subject	Ecology, Evolution, Behavior and Systematics

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