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The statistical power to detect cross-scale interactions at macroscales

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Tyler Wagner, C. Emi Fergus, Craig A. Stow, Kendra S. Cheruvelil, and Patricia A. Soranno, 2016, The statistical power to detect cross-scale interactions at macroscales: Ecosphere, v. 7, iss. 7.

Summary

Macroscale studies of ecological phenomena are increasingly common because stressors such as climate and land-use change operate at large spatial and temporal scales. Cross-scale interactions (CSIs), where ecological processes operating at one spatial or temporal scale interact with processes operating at another scale, have been documented in a variety of ecosystems and contribute to complex system dynamics. However, studies investigating CSIs are often dependent on compiling multiple data sets from different sources to create multithematic, multiscaled data sets, which results in structurally complex, and sometimes incomplete data sets. The statistical power to detect CSIs needs to be evaluated because of their importance and the [...]

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Type Scheme Key
local-index unknown 70182781
local-pk unknown 70182781
doi http://www.loc.gov/standards/mods/mods-outline-3-5.html#identifier doi:10.1002/ecs2.1417
series unknown Ecosphere

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journalEcosphere
parts
typevolume
value7
typeissue
value7
languageEnglish
citationTypeArticle

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