Evidence map›Paper›PMID 40813859›Full record

ArticleNature communications2025

Increasing constraint of aridity on tree intrinsic water use efficiency.

Mengjie Wang, Shushi Peng, Zihan Lu, Xiangtao Xu, Andrew Felton, Anping Chen

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Tree-ring δ¹³C and growth responses ofFrontiers in plant science · 2026
    Article
  2. 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

6 authors.

Mengjie WangSino-French Institute for Earth System Science, College of Urban and Environmental Sciences, and Laboratory for Earth Surface Processes, Peking University, Beijing, China.
Shushi PengSino-French Institute for Earth System Science, College of Urban and Environmental Sciences, and Laboratory for Earth Surface Processes, Peking University, Beijing, China.ORCID http://orcid.org/0000-0001-5098-726X
Zihan LuSino-French Institute for Earth System Science, College of Urban and Environmental Sciences, and Laboratory for Earth Surface Processes, Peking University, Beijing, China.
Xiangtao XuDepartment of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA.ORCID http://orcid.org/0000-0002-9402-9474
Andrew FeltonDepartment of Land Resources and Environmental Sciences, Montana State University, Bozeman, MT, USA.ORCID http://orcid.org/0000-0002-1533-6071
Anping ChenDepartment of Biology and Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, USA. anping.chen@colostate.edu.ORCID http://orcid.org/0000-0003-2085-3863

Funding

National Natural Science Foundation of China (National Science Foundation of China) 41722101National Natural Science Foundation of China (National Science Foundation of China) 41830643United States Department of Agriculture | National Institute of Food and Agriculture (NIFA) 2023-09396U.S. Department of Energy (DOE) DE-SC0022074
6 · The paper itself

Abstract

The intrinsic water use efficiency (W) of trees serves as a key variable linking water and carbon fluxes in forest ecosystems. Interannual variations in aridity (e.g., represented by the Standardized Precipitation Evapotranspiration Index, SPEI) can cause changes in W. However, it is unclear whether the aridity constraint on W, as indicated by the sensitivity of W to SPEI (S

Indexed as

Desert ClimateTreesWaterCarbon DioxideCarbon IsotopesClimate ChangeEcosystemForestsPlant TranspirationCarbon DioxideCarbon IsotopesWater

Identifiers

PMID40813859
PMCPMC12354896

What OpenQuestion holds

Textmetadata
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.