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The magnitude and pace of photosynthetic recovery after wildfire in California ecosystems

Wildfire modifies the short- and long-term exchange of carbon between terrestrial ecosystems and the atmosphere, with impacts on ecosystem services such as carbon uptake. Dry western US forests historically experienced low-intensity, frequent fires, with patches across the landscape occupying differ...

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Autores principales: Hemes, Kyle S., Norlen, Carl A., Wang, Jonathan A., Goulden, Michael L., Field, Christopher B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104501/
https://www.ncbi.nlm.nih.gov/pubmed/37011220
http://dx.doi.org/10.1073/pnas.2201954120
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author Hemes, Kyle S.
Norlen, Carl A.
Wang, Jonathan A.
Goulden, Michael L.
Field, Christopher B.
author_facet Hemes, Kyle S.
Norlen, Carl A.
Wang, Jonathan A.
Goulden, Michael L.
Field, Christopher B.
author_sort Hemes, Kyle S.
collection PubMed
description Wildfire modifies the short- and long-term exchange of carbon between terrestrial ecosystems and the atmosphere, with impacts on ecosystem services such as carbon uptake. Dry western US forests historically experienced low-intensity, frequent fires, with patches across the landscape occupying different points in the fire-recovery trajectory. Contemporary perturbations, such as recent severe fires in California, could shift the historic stand-age distribution and impact the legacy of carbon uptake on the landscape. Here, we combine flux measurements of gross primary production (GPP) and chronosequence analysis using satellite remote sensing to investigate how the last century of fires in California impacted the dynamics of ecosystem carbon uptake on the fire-affected landscape. A GPP recovery trajectory curve of more than five thousand fires in forest ecosystems since 1919 indicated that fire reduced GPP by [Formula: see text] g C m [Formula: see text] y [Formula: see text] ([Formula: see text]) in the first year after fire, with average recovery to prefire conditions after [Formula: see text] y. The largest fires in forested ecosystems reduced GPP by [Formula: see text] g C m [Formula: see text] y [Formula: see text] (n = 401) and took more than two decades to recover. Recent increases in fire severity and recovery time have led to nearly [Formula: see text] MMT CO [Formula: see text] (3-y rolling mean) in cumulative forgone carbon uptake due to the legacy of fires on the landscape, complicating the challenge of maintaining California’s natural and working lands as a net carbon sink. Understanding these changes is paramount to weighing the costs and benefits associated with fuels management and ecosystem management for climate change mitigation.
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spelling pubmed-101045012023-04-15 The magnitude and pace of photosynthetic recovery after wildfire in California ecosystems Hemes, Kyle S. Norlen, Carl A. Wang, Jonathan A. Goulden, Michael L. Field, Christopher B. Proc Natl Acad Sci U S A Biological Sciences Wildfire modifies the short- and long-term exchange of carbon between terrestrial ecosystems and the atmosphere, with impacts on ecosystem services such as carbon uptake. Dry western US forests historically experienced low-intensity, frequent fires, with patches across the landscape occupying different points in the fire-recovery trajectory. Contemporary perturbations, such as recent severe fires in California, could shift the historic stand-age distribution and impact the legacy of carbon uptake on the landscape. Here, we combine flux measurements of gross primary production (GPP) and chronosequence analysis using satellite remote sensing to investigate how the last century of fires in California impacted the dynamics of ecosystem carbon uptake on the fire-affected landscape. A GPP recovery trajectory curve of more than five thousand fires in forest ecosystems since 1919 indicated that fire reduced GPP by [Formula: see text] g C m [Formula: see text] y [Formula: see text] ([Formula: see text]) in the first year after fire, with average recovery to prefire conditions after [Formula: see text] y. The largest fires in forested ecosystems reduced GPP by [Formula: see text] g C m [Formula: see text] y [Formula: see text] (n = 401) and took more than two decades to recover. Recent increases in fire severity and recovery time have led to nearly [Formula: see text] MMT CO [Formula: see text] (3-y rolling mean) in cumulative forgone carbon uptake due to the legacy of fires on the landscape, complicating the challenge of maintaining California’s natural and working lands as a net carbon sink. Understanding these changes is paramount to weighing the costs and benefits associated with fuels management and ecosystem management for climate change mitigation. National Academy of Sciences 2023-04-03 2023-04-11 /pmc/articles/PMC10104501/ /pubmed/37011220 http://dx.doi.org/10.1073/pnas.2201954120 Text en Copyright © 2023 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Biological Sciences
Hemes, Kyle S.
Norlen, Carl A.
Wang, Jonathan A.
Goulden, Michael L.
Field, Christopher B.
The magnitude and pace of photosynthetic recovery after wildfire in California ecosystems
title The magnitude and pace of photosynthetic recovery after wildfire in California ecosystems
title_full The magnitude and pace of photosynthetic recovery after wildfire in California ecosystems
title_fullStr The magnitude and pace of photosynthetic recovery after wildfire in California ecosystems
title_full_unstemmed The magnitude and pace of photosynthetic recovery after wildfire in California ecosystems
title_short The magnitude and pace of photosynthetic recovery after wildfire in California ecosystems
title_sort magnitude and pace of photosynthetic recovery after wildfire in california ecosystems
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104501/
https://www.ncbi.nlm.nih.gov/pubmed/37011220
http://dx.doi.org/10.1073/pnas.2201954120
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