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Burning issues: statistical analyses of global fire data to inform assessments of environmental change

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  • Haiganoush K. Preisler
  • M. A. Krawchuk
  • M. A. Moritz

Abstract

Global pyrogeographic study is necessary to inform climate change impact assessments used for management and decision‐making. Climate is a strong driver of spatial and temporal patterns of fire such that ongoing climate change is expected to alter global fire activity. A growing number of statistical–correlative analyses examine environmental drivers of current patterns of global fire occurrence or burned area, but few studies ask important “what if” questions about the potential future of fire under scenarios of a changing climate. Accordingly, our goal is to engage the broader statistical community in analysis of global fire data products to spur further understanding of fire regimes and the complex links they demonstrate between the biosphere and atmosphere. We provide an overview of constraints over fire regimes and the role of fire in the biosphere–atmosphere, describe general approaches being used for global fire–climate assessment, summarize opportunities and pitfalls in the public‐access global fire datasets, and highlight thinking on next steps for analysis of global fire and fire regime data. Copyright © 2014 John Wiley & Sons, Ltd.

Suggested Citation

  • Haiganoush K. Preisler & M. A. Krawchuk & M. A. Moritz, 2014. "Burning issues: statistical analyses of global fire data to inform assessments of environmental change," Environmetrics, John Wiley & Sons, Ltd., vol. 25(6), pages 472-481, September.
  • Handle: RePEc:wly:envmet:v:25:y:2014:i:6:p:472-481
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    Cited by:

    1. Michael L Mann & Enric Batllori & Max A Moritz & Eric K Waller & Peter Berck & Alan L Flint & Lorraine E Flint & Emmalee Dolfi, 2016. "Incorporating Anthropogenic Influences into Fire Probability Models: Effects of Human Activity and Climate Change on Fire Activity in California," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-21, April.
    2. Zhongzhen Yang & Liquan Guo & Zaili Yang, 2019. "Emergency logistics for wildfire suppression based on forecasted disaster evolution," Annals of Operations Research, Springer, vol. 283(1), pages 917-937, December.
    3. Alexandra D Syphard & Timothy Sheehan & Heather Rustigian-Romsos & Kenneth Ferschweiler, 2018. "Mapping future fire probability under climate change: Does vegetation matter?," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-23, August.
    4. Isaac W Park & Michael L Mann & Lorraine E Flint & Alan L Flint & Max Moritz, 2021. "Relationships of climate, human activity, and fire history to spatiotemporal variation in annual fire probability across California," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-20, November.

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