Evidence map›Paper›PMID 42621063›Full record

ArticleFrontiers in plant science2026

Escalating drought sensitivity of a greening China.

Yanan Cao, Zhipeng Wang, Ben Niu, Xutong Li, Fei Liu, Mengtian Lu, Yunpu Zheng, Xianzhou Zhang

Abstract read
In one paragraph

Article in Frontiers in plant science, 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

8 authors.

Yanan CaoSchool of Earth Science and Engineering, Hebei University of Engineering, Handan, China.
Zhipeng WangHebei Key Laboratory of Intelligent Water Conservancy, School of Water Conservancy and Hydropower, Hebei University of Engineering, Handan, China.
Ben NiuKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Xutong LiHebei Key Laboratory of Intelligent Water Conservancy, School of Water Conservancy and Hydropower, Hebei University of Engineering, Handan, China.
Fei LiuHebei Key Laboratory of Intelligent Water Conservancy, School of Water Conservancy and Hydropower, Hebei University of Engineering, Handan, China.
Mengtian LuCollege of Urban Construction, Nanjing Tech University, Nanjing, China.
Yunpu ZhengHebei Key Laboratory of Intelligent Water Conservancy, School of Water Conservancy and Hydropower, Hebei University of Engineering, Handan, China.
Xianzhou ZhangKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The sensitivity of vegetation to drought is a critical determinant of whether recurrent droughts will disrupt sustainable greening and climate change mitigation efforts. However, its potential spatiotemporal heterogeneity, shaped by both environmental and anthropogenic drivers, remains poorly understood. Methods: Here, we employed multiscalar Standardized Precipitation Evapotranspiration Index (SPEI) to unfold the spatiotemporal patterns of drought across China since the 1980s. We then examined the sensitivity of land surface greenness to drought and its changes across drainage basins, agricultural regions, and plant functional types. Results: China has experienced a notable aridification trend since the 1980s, primarily driven by intensified spring dryness across the northern drylands. Significant correlations between greenness variability and SPEI were observed across 29.09% to 44.37% of vegetated lands, with the spatial extent increasing along with the SPEI timescale (12 to 48 months). Critically, despite a widespread greening trend covering nearly 55% of vegetated lands, the sensitivity of greenness variability to multiscalar SPEI markedly escalated across 27.48%-39.67% of China. Discussion: Our findings suggest that increasing drought sensitivity poses a growing potential constraint to the sustainability of vegetation greening in China, highlighting the urgent need for adaptive water resource management and ecosystem restoration strategies under a warming climate.

Indexed as

Chinadrought sensitivityecosystem adaptationmulti-timescale SPEIvegetation index

Identifiers

PMID42621063
PMCPMC13485981

What OpenQuestion holds

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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.