TY - JOUR
T1 - Climate-driven risks to the climate mitigation potential of forests
AU - Anderegg, William R.L.
AU - Trugman, Anna T.
AU - Badgley, Grayson
AU - Anderson, Christa M.
AU - Bartuska, Ann
AU - Ciais, Philippe
AU - Cullenward, Danny
AU - Field, Christopher B.
AU - Freeman, Jeremy
AU - Goetz, Scott J.
AU - Hicke, Jeffrey A.
AU - Huntzinger, Deborah
AU - Jackson, Robert B.
AU - Nickerson, John
AU - Pacala, Stephen
AU - Randerson, James T.
N1 - Publisher Copyright:
© 2020 American Association for the Advancement of Science. All rights reserved.
PY - 2020/6/19
Y1 - 2020/6/19
N2 - Forests have considerable potential to help mitigate human-caused climate change and provide society with many cobenefits. However, climate-driven risks may fundamentally compromise forest carbon sinks in the 21st century. Here, we synthesize the current understanding of climate-driven risks to forest stability from fire, drought, biotic agents, and other disturbances. We review how efforts to use forests as natural climate solutions presently consider and could more fully embrace current scientific knowledge to account for these climate-driven risks. Recent advances in vegetation physiology, disturbance ecology, mechanistic vegetation modeling, large-scale ecological observation networks, and remote sensing are improving current estimates and forecasts of the risks to forest stability. A more holistic understanding and quantification of such risks will help policy-makers and other stakeholders effectively use forests as natural climate solutions.
AB - Forests have considerable potential to help mitigate human-caused climate change and provide society with many cobenefits. However, climate-driven risks may fundamentally compromise forest carbon sinks in the 21st century. Here, we synthesize the current understanding of climate-driven risks to forest stability from fire, drought, biotic agents, and other disturbances. We review how efforts to use forests as natural climate solutions presently consider and could more fully embrace current scientific knowledge to account for these climate-driven risks. Recent advances in vegetation physiology, disturbance ecology, mechanistic vegetation modeling, large-scale ecological observation networks, and remote sensing are improving current estimates and forecasts of the risks to forest stability. A more holistic understanding and quantification of such risks will help policy-makers and other stakeholders effectively use forests as natural climate solutions.
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U2 - 10.1126/science.aaz7005
DO - 10.1126/science.aaz7005
M3 - Review article
C2 - 32554569
AN - SCOPUS:85086693633
SN - 0036-8075
VL - 368
JO - Science
JF - Science
IS - 6497
M1 - eaaz7005
ER -