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Probabilistic measures of climate change vulnerability, adaptation action benefits, and related uncertainty from maximum temperature metric selection

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Citation

Jefferson T. DeWeber, and Tyler Wagner, 2018, Probabilistic measures of climate change vulnerability, adaptation action benefits, and related uncertainty from maximum temperature metric selection: Global Change Biology, v. 24, iss. 6.

Summary

Predictions of the projected changes in species distributions and potential adaptation action benefits can help guide conservation actions. There is substantial uncertainty in projecting species distributions into an unknown future, however, which can undermine confidence in predictions or misdirect conservation actions if not properly considered. Recent studies have shown that the selection of alternative climate metrics describing very different climatic aspects (e.g., mean air temperature vs. mean precipitation) can be a substantial source of projection uncertainty. It is unclear, however, how much projection uncertainty might stem from selecting among highly correlated, ecologically similar climate metrics (e.g., maximum temperature [...]

Contacts

Author :
Jefferson T. DeWeber, Tyler Wagner
Publisher :
Wiley
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Communities

  • National CASC
  • National and Regional Climate Adaptation Science Centers

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Identifiers

Type Scheme Key
local-index unknown 70196979
local-pk unknown 70196979
doi http://www.loc.gov/standards/mods/mods-outline-3-5.html#identifier doi:10.1111/gcb.14101
series unknown Global Change Biology

Citation Extension

journalGlobal Change Biology
parts
typevolume
value24
typeissue
value6
languageEnglish
citationTypeArticle

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