Bark Beetle Effects on Fire Regimes Depend on Underlying Fuel Modifications in Semiarid Systems
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| Publicado en: | Journal of Advances in Modeling Earth Systems vol. 15, no. 1 (Jan 2023) |
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| Autor principal: | |
| Otros Autores: | , , , , , , , , |
| Publicado: |
John Wiley & Sons, Inc.
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| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 003 | UK-CbPIL | ||
| 022 | |a 1942-2466 | ||
| 024 | 7 | |a 10.1029/2022MS003073 |2 doi | |
| 035 | |a 2769955692 | ||
| 045 | 2 | |b d20230101 |b d20230131 | |
| 084 | |a 151828 |2 nlm | ||
| 100 | 1 | |a Ren, Jianning |u Department of Civil and Environmental Engineering, Washington State University, Pullman, WA, USA; Department of Natural Resources and Environmental Science, University of Nevada, Reno, Reno, NV, USA | |
| 245 | 1 | |a Bark Beetle Effects on Fire Regimes Depend on Underlying Fuel Modifications in Semiarid Systems | |
| 260 | |b John Wiley & Sons, Inc. |c Jan 2023 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Although natural disturbances such as wildfire, extreme weather events, and insect outbreaks play a key role in structuring ecosystems and watersheds worldwide, climate change has intensified many disturbance regimes, which can have compounding negative effects on ecosystem processes and services. Recent studies have highlighted the need to understand whether wildfire increases or decreases after large-scale beetle outbreaks. However, observational studies have produced mixed results. To address this, we applied a coupled ecohydrologic-fire regime-beetle effects model (RHESSys-WMFire-Beetle) in a semiarid watershed in the western US. We found that in the red phase (0–5 years post-outbreak), surface fire extent, burn probability, and surface and crown fire severity all decreased. In the gray phase (6–15 years post-outbreak), both surface fire extent and surface and crown fire severity increased with increasing mortality. However, fire probability reached a plateau during high mortality levels (>50% in terms of carbon removed). In the old phase (one to several decades post-outbreak), fire extent and severity still increased in all mortality levels. However, fire probability increased during low to medium mortality (≤50%) but decreased during high mortality levels (>50%). Wildfire responses also depended on the fire regime. In fuel-limited locations, fire probability increased with increasing fuel loads, whereas in fuel-abundant (flammability-limited) systems, fire probability decreased due to decreases in fuel aridity from reduced plant water demand. This modeling framework can improve our understanding of the mechanisms driving wildfire responses and aid managers in predicting when and where fire hazards will increase. | |
| 651 | 4 | |a Big Wood River | |
| 651 | 4 | |a Idaho | |
| 651 | 4 | |a United States--US | |
| 653 | |a Watersheds | ||
| 653 | |a Extreme weather | ||
| 653 | |a Fire hazards | ||
| 653 | |a Bark | ||
| 653 | |a Observational studies | ||
| 653 | |a Ecosystem disturbance | ||
| 653 | |a Aridity | ||
| 653 | |a Leaves | ||
| 653 | |a Plant water | ||
| 653 | |a Climate change | ||
| 653 | |a Outbreaks | ||
| 653 | |a Flammability | ||
| 653 | |a Wildfires | ||
| 653 | |a Vegetation | ||
| 653 | |a Precipitation | ||
| 653 | |a Creeks & streams | ||
| 653 | |a Mortality | ||
| 653 | |a Water demand | ||
| 653 | |a Forest & brush fires | ||
| 653 | |a Probability theory | ||
| 653 | |a Environmental | ||
| 700 | 1 | |a Hanan, Erin J |u Department of Natural Resources and Environmental Science, University of Nevada, Reno, Reno, NV, USA | |
| 700 | 1 | |a Hicke, Jeffrey A |u Department of Geography, University of Idaho, Moscow, ID, USA | |
| 700 | 1 | |a Kolden, Crystal A |u Management of Complex Systems, University of California, Merced, Merced, CA, USA | |
| 700 | 1 | |a Abatzoglou, John T |u Management of Complex Systems, University of California, Merced, Merced, CA, USA | |
| 700 | 1 | |a Christina (Naomi) L. Tague |u Bren School of Environmental Science & Management, University of California, Santa Barbara, Santa Barbara, CA, USA | |
| 700 | 1 | |a Bart, Ryan R |u Sierra Nevada Research Institute, University of California, Merced, Merced, CA, USA | |
| 700 | 1 | |a Kennedy, Maureen C |u Division of Sciences and Mathematics, School of Interdisciplinary Arts and Sciences, University of Washington, Tacoma, Tacoma, WA, USA | |
| 700 | 1 | |a Liu, Mingliang |u Department of Civil and Environmental Engineering, Washington State University, Pullman, WA, USA | |
| 700 | 1 | |a Adam, Jennifer C |u Department of Civil and Environmental Engineering, Washington State University, Pullman, WA, USA | |
| 773 | 0 | |t Journal of Advances in Modeling Earth Systems |g vol. 15, no. 1 (Jan 2023) | |
| 786 | 0 | |d ProQuest |t Publicly Available Content Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2769955692/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/2769955692/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/2769955692/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |