Reducing Sampling Uncertainty in Aeolian Research to Improve Change Detection

14Citations
Citations of this article
27Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Measurements of aeolian sediment transport support our understanding of mineral dust impacts on Earth and human systems and assessments of aeolian process sensitivities to global environmental change. However, sample design principles are often overlooked in aeolian research. Here we use high-density field measurements of sediment mass flux across land use and land cover types to examine sample size and power effects on detecting change in aeolian transport. Temporal variances were 1.6 to 10.1 times the magnitude of spatial variances in aeolian transport for six study sites. Differences in transport were detectable for >67% of comparisons among sites using ~27 samples. Failure to detect change with smaller sample sizes suggests that aeolian transport measurements and monitoring are much more uncertain than recognized. We show how small and selective sampling, common in aeolian research, gives the false impression that differences in aeolian transport can be detected, potentially undermining inferences about process and impacting reproducibility of aeolian research.

Cite

CITATION STYLE

APA

Webb, N. P., Chappell, A., Edwards, B. L., McCord, S. E., Van Zee, J. W., Cooper, B. F., … Toledo, D. (2019). Reducing Sampling Uncertainty in Aeolian Research to Improve Change Detection. Journal of Geophysical Research: Earth Surface, 124(6), 1366–1377. https://doi.org/10.1029/2019JF005042

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free