Evidence map›Paper›PMID 41589086›Full record

ArticleEcology and evolution2026

Response of Vegetation Greenness to Extreme Droughts and Possible Mechanisms in Guizhou Province, China.

Chuncan Meng, Yingqing Cen, Xu Xue

Abstract read
In one paragraph

Article in Ecology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Chuncan MengDepartment of Ecology, College of Life Science Guizhou University Guiyang Guizhou Province China.
Yingqing CenDepartment of Ecology, College of Life Science Guizhou University Guiyang Guizhou Province China.
Xu XueDepartment of Ecology, College of Life Science Guizhou University Guiyang Guizhou Province China.ORCID https://orcid.org/0000-0002-1118-9182

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Guizhou Province, China, experienced two extreme drought events during the periods of autumn to spring 2009-2010 and spring to autumn 2011. These events, classified as "one-century drought," led to severe water shortages, significant declines in crop yield, and substantial socioeconomic losses. Despite the evident impact, the heterogeneity of vegetation responses, measured using the Normalized Difference Vegetation Index (NDVI), across different vegetation types and landforms in this region remains insufficiently quantified. Therefore, this study investigates the spatiotemporal evolution of these two events and evaluates the differential NDVI responses of vegetation using multiple climatic datasets and remote sensing-derived vegetation indices. Results indicate that both drought events reached severe levels and persisted for approximately 8 months. The southwestern and western parts of Guizhou Province were hit the hardest. The 2009-2010 drought exerted a more pronounced inhibitory effect on vegetation growth, as evidenced by significantly greater reductions in NDVI during the spring season. Analysis across five major vegetation types showed universal declines in NDVI anomalies, with meadows experiencing the most severe suppression, followed by scrublands, broadleaf forests, and grasslands. Needleleaf forests exhibited the highest drought tolerance. In contrast, the 2011 drought had a comparatively milder impact on vegetation dynamics. Notably, certain vegetation types, particularly broadleaf forests, displayed sustained greening even under drought conditions. Furthermore, vegetation growing on karst landforms exhibited more pronounced declines in greenness compared to those on non-karst landforms, highlighting the influence of geological substrates on drought sensitivity. These findings suggest that under conditions of extreme drought severity, alterations in hydrothermal conditions significantly affect vegetation response patterns across both vegetation types and landform categories. This study provides important insights into the ecological impacts of drought in karst-dominated regions and offers a scientific basis for formulating drought risk management strategies and ecological conservation policies in Guizhou Province.

Indexed as

droughtGuizhou Provincehydrothermal conditionkarst and non‐karst landformsNDVIvegetation response

Identifiers

PMID41589086
PMCPMC12832194

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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.