Evidence map›Paper›PMID 41803388›Full record

ArticleNature plants2026

Amazon rainforests are rejuvenating their canopies by producing more photosynthetically efficient young leaves under climate change.

Xueqin Yang, Jie Tian, Philippe Ciais, Liming Zhou, Peter B Reich, Jin Wu, Jiali Shang, Jérôme Chave, Julien Lamour, Isabelle Maréchaux and 27 more

Abstract readValidation Study
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In one paragraph

Article in Nature plants, 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

37 authors.

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.
Jie Tian *Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle, School of Atmospheric Sciences, School of Ecology, Sun Yat-sen University, Zhuhai, China.
Philippe CiaisLaboratoire des Sciences du Climat et de l'Environnement, Université Paris-Saclay, IPSL, CEA-CNRS-UVSQ, if sur Yvette, France.ORCID http://orcid.org/0000-0001-8560-4943
Liming ZhouDepartment of Atmospheric and Environmental Sciences, State University of New York at Albany, Albany, NY, USA.ORCID http://orcid.org/0000-0002-7009-2487
Peter B ReichInstitute for Global Change Biology and School for Environment and Sustainability, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0003-4424-662X
Jin WuSchool of Biological Sciences and Institute for Climate and Carbon Neutrality, The University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0001-8991-3970
Jiali ShangOttawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, Ontario, Canada.
Jérôme ChaveCentre de Recherche sur la Biodiversite et l'Environnement (CRBE), Universite de Toulouse, CNRS, IRD, Toulouse INP, Toulouse, France.ORCID http://orcid.org/0000-0002-7766-1347
Julien LamourCentre de Recherche sur la Biodiversite et l'Environnement (CRBE), Universite de Toulouse, CNRS, IRD, Toulouse INP, Toulouse, France.ORCID http://orcid.org/0000-0002-4410-507X
Isabelle MaréchauxAMAP, Université Montpellier, INRAE, CIRAD, CNRS, IRD, Montpellier, France.ORCID http://orcid.org/0000-0002-5401-0197
Yongshuo H FuCollege of Water Sciences, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0002-9761-5292
Jing Ming ChenDepartment of Geography and Planning, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-8682-1293
Jane LiuDepartment of Geography and Planning, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0001-7760-2788
Shengli TaoInstitute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-2145-4736
Xiangming XiaoSchool of Biological Sciences, University of Oklahoma, Norman, OK, USA.ORCID http://orcid.org/0000-0003-0956-7428
Xiangtao XuDepartment of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA.ORCID http://orcid.org/0000-0002-9402-9474
Yongxian SuState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0003-2114-628X
Haicheng ZhangSchool of Geography and Planning, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0002-9313-5953
Zaichun ZhuSchool of Urban Planning and Design, Peking University, Shenzhen, China.ORCID http://orcid.org/0000-0001-5235-5194
Yao ZhangInstitute of Carbon Neutrality, College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-7468-2409
Dalei HaoAtmospheric, Climate, & Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.ORCID http://orcid.org/0000-0001-7154-6332
Lei ChenKey Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China.
Qiang LiuState Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing, China.
Raffaele LafortezzaDepartment of Agricultural and Environmental Sciences, University of Bari 'A. Moro', Bari, Italy.ORCID http://orcid.org/0000-0003-4642-8435
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.
Peng LiSchool of Geographic Sciences, Hunan Normal University, Changsha, China.
Xing LiSchool of Geography and Planning, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0003-2206-0429
Patrick MeirSchool of GeoSciences, University of Edinburgh, Edinburgh, UK.
Hui LiuSouth China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.ORCID http://orcid.org/0000-0003-4027-499X
Damien BonalUniversité de Lorraine, INRAE, UMR Silva, AgroParisTech, Nancy, France.
Bruce W NelsonEnvironmental Dynamics Department, National Institute for Amazon Research, Manaus, Brazil.ORCID http://orcid.org/0000-0002-0488-6895
Hao TangDepartment of Geography, National University of Singapore, Singapore, Singapore.
Jingrui WangGuangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle, School of Atmospheric Sciences, School of Ecology, Sun Yat-sen University, Zhuhai, China.
Kailiang YuInstitute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0003-0145-0356
Wenping YuanSchool of Geography and Planning, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0002-1469-4395
Shuo WangDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China.ORCID http://orcid.org/0000-0001-7827-187X
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 http://orcid.org/0009-0003-5688-2997

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leaf age structure strongly regulates canopy photosynthesis in Amazon rainforests yet its large-scale patterns and dynamics remain poorly understood. Here we map the fraction of leaf area of photosynthetically efficient young leaves (f

Indexed as

Climate ChangePlant LeavesRainforestTreesModels, BiologicalPhotosynthesisRemote Sensing TechnologySouth America

Identifiers

PMID41803388

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.