Evidence map›Paper›PMID 41152244›Full record

ArticleNature communications2025

Decadal trends in global grassland growth peaks and their drivers since the 1980s.

Cuihai You, Shiping Chen, Zhiqin Tu, Chenyu Bian, Erqian Cui, Kun Huang, Fangxiu Wan, Jiaye Ping, Ning Wei, Jianyang Xia

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. Intensive arable farming calls for resilient wild bee restoration amid severe abundance fluctuations.Ecological applications : a publication of the Ecological Society of America · 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

10 authors.

Cuihai You *Research Center for Global Change and Ecological Forecasting, School of Ecological and Environmental Sciences, Institute of Eco-Chongming, East China Normal University, Shanghai, 200241, China.
Shiping Chen *Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Zhiqin TuResearch Center for Global Change and Ecological Forecasting, School of Ecological and Environmental Sciences, Institute of Eco-Chongming, East China Normal University, Shanghai, 200241, China.
Chenyu BianResearch Center for Global Change and Ecological Forecasting, School of Ecological and Environmental Sciences, Institute of Eco-Chongming, East China Normal University, Shanghai, 200241, China.ORCID http://orcid.org/0000-0002-6439-9167
Erqian CuiResearch Center for Global Change and Ecological Forecasting, School of Ecological and Environmental Sciences, Institute of Eco-Chongming, East China Normal University, Shanghai, 200241, China.
Kun HuangResearch Center for Global Change and Ecological Forecasting, School of Ecological and Environmental Sciences, Institute of Eco-Chongming, East China Normal University, Shanghai, 200241, China.
Fangxiu WanResearch Center for Global Change and Ecological Forecasting, School of Ecological and Environmental Sciences, Institute of Eco-Chongming, East China Normal University, Shanghai, 200241, China.
Jiaye PingResearch Center for Global Change and Ecological Forecasting, School of Ecological and Environmental Sciences, Institute of Eco-Chongming, East China Normal University, Shanghai, 200241, China.ORCID http://orcid.org/0000-0003-3427-4328
Ning WeiSchool of Integrative Plant Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY, 14853, USA.
Jianyang XiaResearch Center for Global Change and Ecological Forecasting, School of Ecological and Environmental Sciences, Institute of Eco-Chongming, East China Normal University, Shanghai, 200241, China. jyxia@des.ecnu.edu.cn.ORCID http://orcid.org/0000-0001-5923-6665

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32325033National Natural Science Foundation of China (National Science Foundation of China) 32401389National Natural Science Foundation of China (National Science Foundation of China) U22A20559
6 · The paper itself

Abstract

Grasslands, Earth's most widespread terrestrial ecosystems, are vital for global carbon sequestration and food security. A key indicator of these functions is vegetation growth peak, reflecting maximum seasonal productivity. However, whether this growth peak consistently increases across global grasslands remains unknown. Here, using satellite-derived vegetation data from 1982 to 2021, we reveal a widespread increase in grassland growth peaks, with 71% (20/28) IPCC climate regions exhibiting significant trends. However, this trend reverses between 1998 and 2009 in 64% of regions, notably across the Tibetan Plateau and East Asia. The reversal is supported by a global gross primary productivity dataset generated via machine learning, trained on eddy covariance flux data. The interruption is primarily associated with a global-scale decadal drought. These findings demonstrate that persistent drought can disrupt the upward trajectory of grassland growth peaks, posing a spatially uneven but widespread threat to ecological functions of grasslands under climate change.

Identifiers

PMID41152244
PMCPMC12569177

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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.