Evidence map›Paper›PMID 41120309›Full record

ArticleNature communications2025

Significant sensitivity of global vegetation productivity to terrestrial surface wind speed changes.

Haohao Wu, Congsheng Fu, Lingling Zhang, Zelalem A Mekonnen, Qing Zhu, Kailiang Yu, Philippe Ciais, Jianyao Chen, Dagang Wang, Huawu Wu and 1 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 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. 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

11 authors.

Haohao WuKey Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China.ORCID http://orcid.org/0000-0001-6978-9167
Congsheng FuKey Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China. csfu@niglas.ac.cn.ORCID http://orcid.org/0000-0001-7838-1323
Lingling ZhangSchool of Geographic Information and Tourism, Chuzhou University, Chuzhou, China.
Zelalem A MekonnenClimate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-2647-0671
Qing ZhuClimate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID http://orcid.org/0000-0003-2441-944X
Kailiang YuHigh Meadows Environmental Institute, Princeton University, Princeton, NJ, USA.ORCID http://orcid.org/0000-0003-0145-0356
Philippe CiaisLe Laboratoire des Sciences du Climat et de l'Environnement, IPSL-LSCECEA/CNRS/UVSQ Saclay, Gif-sur-Yvette, France.ORCID http://orcid.org/0000-0001-8560-4943
Jianyao ChenSchool of Geography and Planning, Sun Yat-sen University, Guangzhou, China.
Dagang WangSchool of Geography and Planning, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0002-6424-6398
Huawu WuKey Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China.
Guishan YangKey Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 41971044National Natural Science Foundation of China (National Science Foundation of China) 42371046National Natural Science Foundation of China (National Science Foundation of China) 42571120National Natural Science Foundation of China (National Science Foundation of China) U2240219
6 · The paper itself

Abstract

Decadal changes in terrestrial surface wind speed since the 1960s have been extensively documented, while the mechanism and the extent of their impacts on terrestrial ecosystem productivity remain unclear. Here, we systematically explore the impacts of wind speed changes on terrestrial gross primary production (GPP) using satellite-derived data, reanalysis datasets, flux tower observations, CMIP6 models, and exploratory simulation experiments. Our results show a negative sensitivity of terrestrial GPP to wind speed change, ranging from -156.67 to -65.82 g C m

Identifiers

PMID41120309
PMCPMC12540842

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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.