Evidence map›Paper›PMID 42472095›Full record

ReviewiScience2026

Behavioral feedbacks to climate mitigation under intensifying disasters.

Mengyu Li, Manfred Lenzen, Bin Chen, Peng Wang, Katharina Block, Ziqian Xia, Jiashuo Li, Agostino Merico, Marie Harder, Huajun Yu and 4 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in iScience, 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

14 authors.

Mengyu LiISA, School of Physics A28, The University of Sydney, Sydney, NSW 2006, Australia.
Manfred LenzenISA, School of Physics A28, The University of Sydney, Sydney, NSW 2006, Australia.
Bin ChenInstitute for Big Data, Fudan University, Shanghai, China.
Peng WangInstitute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian, China.
Katharina BlockISA, School of Physics A28, The University of Sydney, Sydney, NSW 2006, Australia.
Ziqian XiaDoerr School of Sustainability, Stanford University, Stanford, CA 94305, USA.
Jiashuo LiInstitute of Blue and Green Development, Shandong University, Weihai, China.
Agostino MericoSystems Ecology Group, Leibniz-Zentrum für Marine Tropenforschung (ZMT), Bremen, Germany.
Marie HarderDepartment of Environmental Science & Engineering, Fudan University, Shanghai, China.
Huajun YuFudan Tyndall Center, Department of Environmental Science & Engineering, Fudan University, Shanghai, China.
Zhengyu ShiISA, School of Physics A28, The University of Sydney, Sydney, NSW 2006, Australia.
Libo WuSchool of Data Science, Fudan University, Shanghai, China.
Ying ZhangSchool of Public Health, University of Sydney, Sydney, NSW 2006, Australia.
Yutao WangFudan Tyndall Center, Department of Environmental Science & Engineering, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current IPCC assessment outlines idealized pathways to limit warming below 2°C, yet record-high emissions in 2024 breached the 1.5°C threshold, underscoring the persistent gap between aspirational targets and real-world progress. Meanwhile, frequent extreme weather events increasingly trigger complex human responses, influencing public beliefs, risk perceptions, and support for climate policies, factors not captured by existing integrated assessment models underpinning IPCC reports. Here, we explore how key behavioral feedbacks to mitigation-cognition, communication, and conflict-might evolve under escalating climate disruptions, potentially undermining global climate mitigation efforts. Given the profound implications of neglecting psychological and societal dynamics, and the paucity of research on futures with severe climate impacts, we propose a targeted research agenda for rigorously integrating these behavioral feedbacks into IAM-based scenarios, enhancing the realism and policy relevance of upcoming IPCC assessments.

Indexed as

Global changeSocial sciences

Identifiers

PMID42472095
PMCPMC13380418

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.