Evidence map›Paper›PMID 39837832›Full record

ArticleNature communications2025

Declining precipitation frequency may drive earlier leaf senescence by intensifying drought stress and enhancing drought acclimation.

Xinyi Zhang, Xiaoyue Wang, Constantin M Zohner, Josep Peñuelas, Yang Li, Xiuchen Wu, Yao Zhang, Huiying Liu, Pengju Shen, Xiaoxu Jia and 6 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. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

16 authors.

Xinyi ZhangThe Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China.
Xiaoyue WangThe Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China. wangxy@igsnrr.ac.cn.ORCID http://orcid.org/0000-0002-9950-2259
Constantin M ZohnerDepartment of Environmental Systems Science, Institute of Integrative Biology, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-8302-4854
Josep PeñuelasCSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Barcelona, 08193, Catalonia, Spain.ORCID http://orcid.org/0000-0002-7215-0150
Yang LiSchool of Natural Resources and the Environment, University of Arizona, Tucson, AZ, USA.ORCID http://orcid.org/0000-0002-6463-6441
Xiuchen WuState Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0003-0396-7439
Yao ZhangSino-French Institute for Earth System Science, College of Urban and Environmental Sciences, and Laboratory for Earth Surface Processes, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0002-7468-2409
Huiying LiuInstitute of Eco-Chongming (IEC), East China Normal University, Shanghai, China.ORCID http://orcid.org/0000-0001-8903-6103
Pengju ShenThe Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China.ORCID http://orcid.org/0009-0007-0011-9131
Xiaoxu JiaThe Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China.
Wenbin LiuThe Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China.ORCID http://orcid.org/0000-0002-9569-6762
Dashuan TianUniversity of the Chinese Academy of Sciences, 100049, Beijing, China.ORCID http://orcid.org/0000-0001-8023-1180
Prajal PradhanIntegrated Research on Energy, Environment, and Society (IREES), Energy and Sustainability Research Institute Groningen (ESRIG), University of Groningen, Groningen, The Netherlands.ORCID http://orcid.org/0000-0003-0491-5489
Adandé Belarmain FandohanUnité de Recherche en Foresterie et Conservation des Bioressources, Ecole de Foresterie Tropicale, Université Nationale d'Agriculture, BP 43, Kétou, Benin.ORCID http://orcid.org/0000-0002-8426-6839
Dailiang PengKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, 100094, Beijing, China. pengdl@aircas.ac.cn.ORCID http://orcid.org/0000-0003-1159-0723
Chaoyang WuThe Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China. wucy@igsnrr.ac.cn.ORCID http://orcid.org/0000-0001-6163-8209

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42125101
6 · The paper itself

Abstract

Precipitation is an important factor influencing the date of foliar senescence, which in turn affects carbon uptake of terrestrial ecosystems. However, the temporal patterns of precipitation frequency and its impact on foliar senescence date remain largely unknown. Using both long-term carbon flux data and satellite observations across the Northern Hemisphere, we show that, after excluding impacts from of temperature, radiation and total precipitation by partial correlation analysis, declining precipitation frequency may drive earlier foliar senescence date from 1982 to 2022. A decrease in precipitation frequency intensifies drought stress by reducing root-zone soil moisture and increasing atmospheric dryness, and limit the photosynthesis necessary for sustained growth. The enhanced drought acclimation, showing a more rapid response to drought, also explains the positive relationship between precipitation frequency and foliar senescence date. Finally, we find 30 current state-of-art Earth system models largely fail to capture the sensitivity of DFS to changes in precipitation frequency and incorrectly predict the direction of correlations for approximately half of the northern global lands, in both historical simulations and future predictions. Our results therefore highlight the critical need to include precipitation frequency, rather than just total precipitation, into models to accurately forecast plant phenology under future climate change.

Indexed as

AcclimatizationDroughtsPlant LeavesPlant SenescenceRainStress, PhysiologicalClimate ChangeEcosystemPhotosynthesisSoilSoil

Identifiers

PMID39837832
PMCPMC11750966

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.