Bottom-up drivers of future fire regimes in western boreal North America

Forest characteristics, structure, and dynamics within the North American boreal region are heavily influenced by wildfire intensity, severity, and frequency. Increasing temperatures are likely to result in drier conditions and longer fire seasons, potentially leading to more intense and frequent fi...

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Main Authors: Foster, Adrianna C., Shuman, Jacquelyn K., Rogers, Brendan M., Walker, Xanthe J., Mack, Michelle C., Bourgeau-Chavez, Laura, Veraverbeke, Sander, Goetz, Scott J.
Format: Text
Language:unknown
Published: Digital Commons @ Michigan Tech 2022
Subjects:
Online Access:https://digitalcommons.mtu.edu/michigantech-p/15848
https://doi.org/10.1088/1748-9326/ac4c1e
https://digitalcommons.mtu.edu/context/michigantech-p/article/35150/viewcontent/Foster_2022_Environ._Res._Lett._17_025006.pdf
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author Foster, Adrianna C.
Shuman, Jacquelyn K.
Rogers, Brendan M.
Walker, Xanthe J.
Mack, Michelle C.
Bourgeau-Chavez, Laura
Veraverbeke, Sander
Goetz, Scott J.
author_facet Foster, Adrianna C.
Shuman, Jacquelyn K.
Rogers, Brendan M.
Walker, Xanthe J.
Mack, Michelle C.
Bourgeau-Chavez, Laura
Veraverbeke, Sander
Goetz, Scott J.
author_sort Foster, Adrianna C.
collection Michigan Technological University: Digital Commons @ Michigan Tech
description Forest characteristics, structure, and dynamics within the North American boreal region are heavily influenced by wildfire intensity, severity, and frequency. Increasing temperatures are likely to result in drier conditions and longer fire seasons, potentially leading to more intense and frequent fires. However, an increase in deciduous forest cover is also predicted across the region, potentially decreasing flammability. In this study, we use an individual tree-based forest model to test bottom-up (i.e. fuels) vs top-down (i.e. climate) controls on fire activity and project future forest and wildfire dynamics. The University of Virginia Forest Model Enhanced is an individual tree-based forest model that has been successfully updated and validated within the North American boreal zone. We updated the model to better characterize fire ignition and behavior in relation to litter and fire weather conditions, allowing for further interactions between vegetation, soils, fire, and climate. Model output following updates showed good agreement with combustion observations at individual sites within boreal Alaska and western Canada. We then applied the updated model at sites within interior Alaska and the Northwest Territories to simulate wildfire and forest response to climate change under moderate (RCP 4.5) and extreme (RCP 8.5) scenarios. Results suggest that changing climate will act to decrease biomass and increase deciduous fraction in many regions of boreal North America. These changes are accompanied by decreases in fire probability and average fire intensity, despite fuel drying, indicating a negative feedback of fuel loading on wildfire. These simulations demonstrate the importance of dynamic fuels and dynamic vegetation in predicting future forest and wildfire conditions. The vegetation and wildfire changes predicted here have implications for large-scale changes in vegetation composition, biomass, and wildfire severity across boreal North America, potentially resulting in further feedbacks to regional and ...
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spelling ftmichigantuniv:oai:digitalcommons.mtu.edu:michigantech-p-35150 2025-01-16T23:58:25+00:00 Bottom-up drivers of future fire regimes in western boreal North America Foster, Adrianna C. Shuman, Jacquelyn K. Rogers, Brendan M. Walker, Xanthe J. Mack, Michelle C. Bourgeau-Chavez, Laura Veraverbeke, Sander Goetz, Scott J. 2022-01-28T08:00:00Z application/pdf https://digitalcommons.mtu.edu/michigantech-p/15848 https://doi.org/10.1088/1748-9326/ac4c1e https://digitalcommons.mtu.edu/context/michigantech-p/article/35150/viewcontent/Foster_2022_Environ._Res._Lett._17_025006.pdf unknown Digital Commons @ Michigan Tech https://digitalcommons.mtu.edu/michigantech-p/15848 doi:10.1088/1748-9326/ac4c1e https://digitalcommons.mtu.edu/context/michigantech-p/article/35150/viewcontent/Foster_2022_Environ._Res._Lett._17_025006.pdf http://creativecommons.org/licenses/by/4.0/ Michigan Tech Publications boreal forest climate change disturbance fire self-limitation individual-based model UVAFME wildfire Michigan Tech Research Institute Science and Technology Studies text 2022 ftmichigantuniv https://doi.org/10.1088/1748-9326/ac4c1e 2023-06-20T17:06:56Z Forest characteristics, structure, and dynamics within the North American boreal region are heavily influenced by wildfire intensity, severity, and frequency. Increasing temperatures are likely to result in drier conditions and longer fire seasons, potentially leading to more intense and frequent fires. However, an increase in deciduous forest cover is also predicted across the region, potentially decreasing flammability. In this study, we use an individual tree-based forest model to test bottom-up (i.e. fuels) vs top-down (i.e. climate) controls on fire activity and project future forest and wildfire dynamics. The University of Virginia Forest Model Enhanced is an individual tree-based forest model that has been successfully updated and validated within the North American boreal zone. We updated the model to better characterize fire ignition and behavior in relation to litter and fire weather conditions, allowing for further interactions between vegetation, soils, fire, and climate. Model output following updates showed good agreement with combustion observations at individual sites within boreal Alaska and western Canada. We then applied the updated model at sites within interior Alaska and the Northwest Territories to simulate wildfire and forest response to climate change under moderate (RCP 4.5) and extreme (RCP 8.5) scenarios. Results suggest that changing climate will act to decrease biomass and increase deciduous fraction in many regions of boreal North America. These changes are accompanied by decreases in fire probability and average fire intensity, despite fuel drying, indicating a negative feedback of fuel loading on wildfire. These simulations demonstrate the importance of dynamic fuels and dynamic vegetation in predicting future forest and wildfire conditions. The vegetation and wildfire changes predicted here have implications for large-scale changes in vegetation composition, biomass, and wildfire severity across boreal North America, potentially resulting in further feedbacks to regional and ... Text Northwest Territories Alaska Michigan Technological University: Digital Commons @ Michigan Tech Canada Northwest Territories
spellingShingle boreal forest
climate change
disturbance
fire self-limitation
individual-based model
UVAFME
wildfire
Michigan Tech Research Institute
Science and Technology Studies
Foster, Adrianna C.
Shuman, Jacquelyn K.
Rogers, Brendan M.
Walker, Xanthe J.
Mack, Michelle C.
Bourgeau-Chavez, Laura
Veraverbeke, Sander
Goetz, Scott J.
Bottom-up drivers of future fire regimes in western boreal North America
title Bottom-up drivers of future fire regimes in western boreal North America
title_full Bottom-up drivers of future fire regimes in western boreal North America
title_fullStr Bottom-up drivers of future fire regimes in western boreal North America
title_full_unstemmed Bottom-up drivers of future fire regimes in western boreal North America
title_short Bottom-up drivers of future fire regimes in western boreal North America
title_sort bottom-up drivers of future fire regimes in western boreal north america
topic boreal forest
climate change
disturbance
fire self-limitation
individual-based model
UVAFME
wildfire
Michigan Tech Research Institute
Science and Technology Studies
topic_facet boreal forest
climate change
disturbance
fire self-limitation
individual-based model
UVAFME
wildfire
Michigan Tech Research Institute
Science and Technology Studies
url https://digitalcommons.mtu.edu/michigantech-p/15848
https://doi.org/10.1088/1748-9326/ac4c1e
https://digitalcommons.mtu.edu/context/michigantech-p/article/35150/viewcontent/Foster_2022_Environ._Res._Lett._17_025006.pdf