Evidence map›Paper›PMID 41611716›Full record

ArticleNature communications2026

Pantropical moist forests are converging towards a middle leaf longevity.

Meimei Xue, Xueqin Yang, Xiuzhi Chen, Philippe Ciais, Liming Zhou, Peter B Reich, Jingfeng Xiao, Xing Li, Xiangming Xiao, Julia K Green and 12 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

22 authors.

Meimei Xue *Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle, School of Atmospheric Sciences, School of Ecology, Sun Yat-sen University, Zhuhai, China.
Xueqin Yang *Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle, School of Atmospheric Sciences, School of Ecology, Sun Yat-sen University, Zhuhai, China.
Xiuzhi ChenGuangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle, School of Atmospheric Sciences, School of Ecology, Sun Yat-sen University, Zhuhai, China. chenxzh73@mail.sysu.edu.cn.ORCID 0009-0003-5688-2997
Philippe CiaisLaboratoire des Sciences du Climat et de l'Environnement, IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, France.ORCID 0000-0001-8560-4943
Liming ZhouDepartment of Atmospheric and Environmental Sciences, University at Albany, State University of New York, Albany, NY, USA.ORCID 0000-0002-7009-2487
Peter B ReichInstitute for Global Change Biology and School for Environment and Sustainability, University of Michigan, Ann Arbor, USA.ORCID 0000-0003-4424-662X
Jingfeng XiaoEarth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH, USA.ORCID 0000-0002-0622-6903
Xing LiSchool of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0003-2206-0429
Xiangming XiaoDepartment of Microbiology and Plant Biology, Center for Earth Observation and Modeling, University of Oklahoma, Norman, OK, USA.ORCID 0000-0003-0956-7428
Julia K GreenDepartment of Environmental Science, University of Arizona, Tucson, AZ, USA.ORCID 0000-0002-8466-2313
Jing Ming ChenDepartment of Geography and Planning, University of Toronto, Ontario, Canada.ORCID 0000-0002-8682-1293
Jane LiuDepartment of Geography and Planning, University of Toronto, Ontario, Canada.
Jiali ShangOttawa Research and Development Centre, Agriculture and Agri-Food Canada, Ontario, Canada.
Xiangzhong LuoDepartment of Geography, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-9546-0960
Jie TianGuangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle, School of Atmospheric Sciences, School of Ecology, Sun Yat-sen University, Zhuhai, China.
Hui LiuSouth China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.ORCID 0000-0003-4027-499X
Peng ZhuDepartment of geography, The University of Hong Kong, Hong Kong, China.ORCID 0000-0001-7835-3971
Kai YanState Key Laboratory of Remote Sensing and Digital Earth, Advanced Interdisciplinary Institute of Satellite Applications, Faculty of Geographical Science, Beijing Normal University, Beijing, China.ORCID 0000-0003-4262-1772
Xinyue FuGuangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle, School of Atmospheric Sciences, School of Ecology, Sun Yat-sen University, Zhuhai, China.
Liusheng HanSchool of Civil Engineering and Geomatics, Shandong University of Technology, Zibo, China.
Wenping YuanInstitute of Carbon Neutrality, College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID 0000-0002-1469-4395
Chaoyang WuInstitute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China. wucy@igsnrr.ac.cn.ORCID 0000-0001-6163-8209

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leaf longevity is a fundamental plant trait that largely explains ecosystem functional dynamics in global pantropical moist forests. However, the signs, magnitudes, and mechanisms of the spatiotemporal variations in leaf longevity with ongoing climate change are still lacking. Using both ground measurements and gridded leaf age-dependent leaf area index data, we map the continental-scale variability of annual mean leaf longevity across pantropical moist forests over 2001-2023. We find a biome-dependent and converging trend in leaf longevity under climate change. In Amazon and tropical Asia with long leaf longevity (> ~1.8 years), leaf longevity decreases due to rising temperature and intensified atmospheric dryness. In contrast, an increasing trend is observed in Congo and subtropical Asia where forests have short leaf longevity (<~1.8 years). These responses cause a convergence of pantropical short and long leaf longevity into a middle longevity range, with maximization of plant functional traits, photosynthesis, and species evenness, which are expected to better resist climate variability. Our study provides emerging evidence for large-scale structural and functional adaptions across pantropical moist forests and is helpful for predicting climate-driven risks to ecosystem stability.

Indexed as

ForestsPlant LeavesClimate ChangeEcosystemPhotosynthesisTemperatureTreesTropical Climate

Identifiers

PMID41611716
PMCPMC12957302

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.