Evidence map›Paper›PMID 42162435›Full record

ArticleNature2026

Forest carbon protocols underestimate climate-driven carbon loss risks.

Chao Wu, Grayson Badgley, Michael L Goulden, James T Randerson, Anna T Trugman, Jonathan A Wang, Linqing Yang, Nezha Acil, Susan C Cook-Patton, Danny Cullenward and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Chao WuDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China. chao-wu@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-3233-856X
Grayson BadgleyCarbonPlan, San Francisco, CA, USA.
Michael L GouldenDepartment of Earth System Science, University of California Irvine, Irvine, CA, USA.ORCID http://orcid.org/0000-0002-9379-3948
James T RandersonDepartment of Earth System Science, University of California Irvine, Irvine, CA, USA.ORCID http://orcid.org/0000-0001-6559-7387
Anna T TrugmanDepartment of Geography, University of California Santa Barbara, Santa Barbara, CA, USA.ORCID http://orcid.org/0000-0002-7903-9711
Jonathan A WangSchool of Biological Sciences, University of Utah, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0003-2839-0699
Linqing YangWilkes Center for Climate Science and Policy, University of Utah, Salt Lake City, UT, USA.
Nezha AcilNational Centre for Earth Observation & Institute for Environmental Futures, School of Geography, Geology and the Environment, University of Leicester, Leicester, UK.ORCID http://orcid.org/0000-0002-4043-0414
Susan C Cook-PattonThe Nature Conservancy, Arlington, VA, USA.ORCID http://orcid.org/0000-0002-7194-4397
Danny CullenwardKleinman Center for Energy Policy, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-6803-9572
Steven J DavisDepartment of Earth System Science, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-9338-0844
Christopher A WilliamsGraduate School of Geography, Clark University, Worcester, MA, USA.ORCID http://orcid.org/0000-0002-5047-0639
William R L AndereggWilkes Center for Climate Science and Policy, University of Utah, Salt Lake City, UT, USA. anderegg@utah.edu.ORCID http://orcid.org/0000-0001-6551-3331

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the reduction of fossil fuel emissions remains of the utmost importance to mitigate climate change, maintaining and enhancing carbon sinks in forests have been widely promoted as nature-based climate solutions

Indexed as

CarbonCarbon SequestrationClimate ChangeForestsMachine LearningUnited StatesCarbon

Identifiers

PMID42162435

What OpenQuestion holds

Textmetadata
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.