Effect of imperfect detectability on adaptive and conventional sampling: simulated sampling of freshwater mussels in the upper Mississippi River.

Environmental Monitoring and Assessment
David R SmithDoug Nichols

Abstract

Adaptive sampling designs are recommended where, as is typical with freshwater mussels, the outcome of interest is rare and clustered. However, the performance of adaptive designs has not been investigated when outcomes are not only rare and clustered but also imperfectly detected. We address this combination of challenges using data simulated to mimic properties of freshwater mussels from a reach of the upper Mississippi River. Simulations were conducted under a range of sample sizes and detection probabilities. Under perfect detection, efficiency of the adaptive sampling design increased relative to the conventional design as sample size increased and as density decreased. Also, the probability of sampling occupied habitat was four times higher for adaptive than conventional sampling of the lowest density population examined. However, imperfect detection resulted in substantial biases in sample means and variances under both adaptive sampling and conventional designs. The efficiency of adaptive sampling declined with decreasing detectability. Also, the probability of encountering an occupied unit during adaptive sampling, relative to conventional sampling declined with decreasing detectability. Thus, the potential gains in th...Continue Reading

References

Sep 27, 2002·Drug and Alcohol Dependence·Steven K Thompson, Linda M Collins
May 1, 1993·Ecological Applications : a Publication of the Ecological Society of America·Roger H Green, Richard C Young

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Citations

Jun 10, 2016·Environmental Monitoring and Assessment·Joel H ReynoldsWilliam L Thompson

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