Evidence map›Paper›PMID 40998782›Full record

ArticleNature communications2025

Amplified local cooling effect of forestation in warming Europe.

Yitao Li, Jun Ge, Hua Wu, Ronglin Tang, Yuanliang Cheng, Xiangyang Liu, Yi Wang, Wei Zhao, Caixia Gao, Si-Bo Duan and 7 more

Abstract read
In one paragraph

Article in Nature communications, 2025. 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

17 authors.

Yitao LiState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0001-7496-2956
Jun GeSchool of Atmospheric Sciences, Nanjing University, Nanjing, China.ORCID http://orcid.org/0000-0002-8876-1650
Hua WuSchool of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China.
Ronglin TangState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Yuanliang ChengState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Xiangyang LiuState Key Laboratory of Efficient Utilization of Arable Land in China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China.
Yi WangState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Wei ZhaoInstitute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China.ORCID http://orcid.org/0000-0002-4839-6791
Caixia GaoThe National Engineering Laboratory for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
Si-Bo DuanState Key Laboratory of Efficient Utilization of Arable Land in China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China.
Qian ShiSchool of Geography and Planning, Sun Yat-sen University, Guangzhou, China.
Pei LengState Key Laboratory of Efficient Utilization of Arable Land in China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China.
Enyu ZhaoInformation Science and Technology College, Dalian Maritime University, Dalian, China.
Guangjian YanState Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0001-5030-748X
Xiaoning SongCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.
Chenghu ZhouCenter for Ocean Remote Sensing of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou, China.ORCID http://orcid.org/0000-0003-3331-2302
Zhao-Liang LiState Key Laboratory of Efficient Utilization of Arable Land in China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China. lizhaoliang@caas.cn.ORCID http://orcid.org/0000-0002-4861-4357

Funding

National Natural Science Foundation of China (National Science Foundation of China) 41921001
6 · The paper itself

Abstract

Forests exhibit local cooling or warming effects compared to adjacent openlands through biophysical processes. These temperature effects are predicted by earth system models to evolve in response to climate change. However, such temporal patterns remain unconstrained by observations and have not been detected in historical records. Here, by comparing the satellite observations of spatially nearby forests and openlands over the last two decades, we quantify temporal trends in local land surface temperature (LST) effects of forest change in Europe. During winter, the daytime warming effect of potential forestation weakens and reverses to cooling (-0.142 K/decade) with decreasing snow cover, as forests show less pronounced surface darkening trends than openlands. During summer, the daytime cooling effect intensifies (-0.188 K/decade) because forests remain more physiologically and hydrologically resilient to increasing soil dryness. These negative trends are broadly supported by state-of-the-art earth system models, though substantial inter-model variability persists. Given continued climate change, we emphasize the need to consider the dynamics of biophysical effects when comprehensive forest-related climate policies are formed.

Identifiers

PMID40998782
PMCPMC12462431

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.