Shifting social-ecological fire regimes explain increasing structure loss from Western wildfires.

anthropogenic wildfires fire disasters human impacts western United States wildfire crisis

Journal

PNAS nexus
ISSN: 2752-6542
Titre abrégé: PNAS Nexus
Pays: England
ID NLM: 9918367777906676

Informations de publication

Date de publication:
Mar 2023
Historique:
received: 18 07 2022
revised: 19 12 2022
accepted: 03 01 2023
entrez: 20 3 2023
pubmed: 21 3 2023
medline: 21 3 2023
Statut: epublish

Résumé

Structure loss is an acute, costly impact of the wildfire crisis in the western conterminous United States ("West"), motivating the need to understand recent trends and causes. We document a 246% rise in West-wide structure loss from wildfires between 1999-2009 and 2010-2020, driven strongly by events in 2017, 2018, and 2020. Increased structure loss was not due to increased area burned alone. Wildfires became significantly more destructive, with a 160% higher structure-loss rate (loss/kha burned) over the past decade. Structure loss was driven primarily by wildfires from unplanned human-related ignitions (e.g. backyard burning, power lines, etc.), which accounted for 76% of all structure loss and resulted in 10 times more structures destroyed per unit area burned compared with lightning-ignited fires. Annual structure loss was well explained by area burned from human-related ignitions, while decadal structure loss was explained by state-level structure abundance in flammable vegetation. Both predictors increased over recent decades and likely interacted with increased fuel aridity to drive structure-loss trends. While states are diverse in patterns and trends, nearly all experienced more burning from human-related ignitions and/or higher structure-loss rates, particularly California, Washington, and Oregon. Our findings highlight how fire regimes-characteristics of fire over space and time-are fundamentally social-ecological phenomena. By resolving the diversity of Western fire regimes, our work informs regionally appropriate mitigation and adaptation strategies. With millions of structures with high fire risk, reducing human-related ignitions and rethinking how we build are critical for preventing future wildfire disasters.

Identifiants

pubmed: 36938500
doi: 10.1093/pnasnexus/pgad005
pii: pgad005
pmc: PMC10019760
doi:

Banques de données

Dryad
['10.5061/dryad.5hqbzkh9m']

Types de publication

Journal Article

Langues

eng

Pagination

pgad005

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of National Academy of Sciences.

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Auteurs

Philip E Higuera (PE)

Department of Ecosystem and Conservation Sciences, University of Montana, 32 Campus Drive, Missoula, MT 59812, USA.

Maxwell C Cook (MC)

Earth Lab, Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, 4001 Discovery Drive, Suite S348, 611 UCB, Boulder, CO 80303, USA.
Department of Geography, University of Colorado Boulder, Guggenheim 110, 260 UCB, Boulder, CO 80309, USA.

Jennifer K Balch (JK)

Earth Lab, Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, 4001 Discovery Drive, Suite S348, 611 UCB, Boulder, CO 80303, USA.
Department of Geography, University of Colorado Boulder, Guggenheim 110, 260 UCB, Boulder, CO 80309, USA.

E Natasha Stavros (EN)

Earth Lab, Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, 4001 Discovery Drive, Suite S348, 611 UCB, Boulder, CO 80303, USA.

Adam L Mahood (AL)

Earth Lab, Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, 4001 Discovery Drive, Suite S348, 611 UCB, Boulder, CO 80303, USA.
Water Resources, Agriculture Research Service, United States Department of Agriculture, 2150 Centre Avenue, Building D, Fort Collins, CO 80526, USA.

Lise A St Denis (LA)

Earth Lab, Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, 4001 Discovery Drive, Suite S348, 611 UCB, Boulder, CO 80303, USA.

Classifications MeSH