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Avoided wildfire impact modeling with counterfactual probabilistic analysis

Assessing the effectiveness and measuring the performance of fuel treatments and other wildfire risk mitigation efforts are challenging endeavors. Perhaps the most complicated is quantifying avoided impacts. In this study, we show how probabilistic counterfactual analysis can help with performance e...

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Hlavní autoři: Matthew P. Thompson, John F. Carriger
Médium: Artigo
Jazyk:Inglês
Vydáno: Frontiers Media S.A. 2023-11-01
Edice:Frontiers in Forests and Global Change
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On-line přístup:https://www.frontiersin.org/articles/10.3389/ffgc.2023.1266413/full
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