Evidence map›Paper›PMID 39388012›Full record

ReviewCarbon balance and management2024

Carbon, climate, and natural disturbance: a review of mechanisms, challenges, and tools for understanding forest carbon stability in an uncertain future.

Alex W Dye, Rachel M Houtman, Peng Gao, William R L Anderegg, Christopher J Fettig, Jeffrey A Hicke, John B Kim, Christopher J Still, Kevin Young, Karin L Riley

Abstract readReview
In one paragraph

Review in Carbon balance and management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Alex W DyeDepartment of Forest Ecosystems & Society, Oregon State University, Corvallis, OR, USA. alex.dye@oregonstate.edu.
Rachel M HoutmanUSDA Forest Service Rocky Mountain Research Station, Missoula Fire Sciences Lab, Missoula, MT, USA.
Peng GaoDepartment of Earth & Ocean Sciences, University of North Carolina at Wilmington, Wilmington, NC, USA.
William R L AndereggWilkes Center for Climate Science and Policy, University of Utah, Salt Lake City, UT, USA.
Christopher J FettigUSDA Forest Service Pacific Southwest Research Station, Davis, CA, USA.
Jeffrey A HickeDepartment of Earth & Spatial Sciences, University of Idaho, Moscow, ID, USA.
John B KimUSDA Forest Service Western Wildland Environmental Threat Assessment Center, Corvallis, OR, USA.
Christopher J StillDepartment of Forest Ecosystems & Society, Oregon State University, Corvallis, OR, USA.
Kevin YoungUniversity of North Carolina at Wilmington, Wilmington, NC, USA.
Karin L RileyUSDA Forest Service Rocky Mountain Research Station, Missoula Fire Sciences Lab, Missoula, MT, USA.

Funding

California Air Resources Board 22ISD003
6 · The paper itself

Abstract

In this review, we discuss current research on forest carbon risk from natural disturbance under climate change for the United States, with emphasis on advancements in analytical mapping and modeling tools that have potential to drive research for managing future long-term stability of forest carbon. As a natural mechanism for carbon storage, forests are a critical component of meeting climate mitigation strategies designed to combat anthropogenic emissions. Forests consist of long-lived organisms (trees) that can store carbon for centuries or more. However, trees have finite lifespans, and disturbances such as wildfire, insect and disease outbreaks, and drought can hasten tree mortality or reduce tree growth, thereby slowing carbon sequestration, driving carbon emissions, and reducing forest carbon storage in stable pools, particularly the live and standing dead portions that are counted in many carbon offset programs. Many forests have natural disturbance regimes, but climate change and human activities disrupt the frequency and severity of disturbances in ways that are likely to have consequences for the long-term stability of forest carbon. To minimize negative effects and maximize resilience of forest carbon, disturbance risks must be accounted for in carbon offset protocols, carbon management practices, and carbon mapping and modeling techniques. This requires detailed mapping and modeling of the quantities and distribution of forest carbon across the United States and hopefully one day globally; the frequency, severity, and timing of disturbances; the mechanisms by which disturbances affect carbon storage; and how climate change may alter each of these elements. Several tools (e.g. fire spread models, imputed forest inventory models, and forest growth simulators) exist to address one or more of the aforementioned items and can help inform management strategies that reduce forest carbon risk, maintain long-term stability of forest carbon, and further explore challenges, uncertainties, and opportunities for evaluating the continued potential of, and threats to, forests as viable mechanisms for forest carbon storage, including carbon offsets. A growing collective body of research and technological improvements have advanced the science, but we highlight and discuss key limitations, uncertainties, and gaps that remain.

Indexed as

Bark beetlesCarbon riskClimate changeDiseaseDroughtForest managementFuelsFutureInsectWildfire

Identifiers

PMID39388012
PMCPMC11468384

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.