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Gambling With the Climate: How Risky of a Bet Are Natural Climate Solutions?

Name: Gambling With the Climate: How Risky of a Bet Are Natural Climate Solutions?
Creator: William R. L. Anderegg
Keywords: disturbance, species range shifts, QE1-996.5, 01050402 Climatology, 010504 meteorology & atmospheric sciences, QC801-809, Geophysics. Cosmic physics, biosphere‐atmosphere interactions, Geology, 15. Life on land

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 22 Jul 2021Publisher:American Geophysical Union (AGU)Journal:AGU Advances, volume 2 (issn: 2576-604X, eissn: 2576-604X,

Copyright policy )Funded by:NSF | Collaborative Research: ..., NSF | Collaborative Research: P..., NSF | CNH-L: Dynamic Impacts of...

Authors: William R. L. Anderegg;

doi: 10.1029/2021av000490

Gambling With the Climate: How Risky of a Bet Are Natural Climate Solutions?

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Abstract

Key Points Forests may help climate mitigation if they can store carbon for centuries Climate‐driven disturbances may greatly undermine these aims in California Multi‐disciplinary and open research is urgently needed to inform policy

Related Organizations

University of Utah
United States
University of Utah
United States

Keywords

disturbance, species range shifts, QE1-996.5, QC801-809, Geophysics. Cosmic physics, biosphere‐atmosphere interactions, Geology, vegetation model, climate change

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	9
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%