Evidence map›Paper›PMID 42274529›Full record

ArticleBiology2026

Vegetation-Atmosphere Water Deficit as the Primary Control on Alpine Steppe and Forest Coverage: An Empirical Assessment from the Altay Mountains, Northwestern China.

Qiao Xu, Yan Xu, Dong Cui, Tao Lin, Zhiguo Miao, Yincheng Gong, Aishajiang Aili, Fabiola Bakayisire

Abstract read
In one paragraph

Article in Biology, 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.

Qiao XuCollege of Resources and Environment, Yili Normal University, Yining 835000, China.
Yan XuXinjiang Uygur Autonomous Region Ecological Water Resources Research Center (Academician and Expert Workstation of the Department of Water Resources of the Xinjiang Uygur Autonomous Region), Urumqi 830000, China.
Dong CuiCollege of Resources and Environment, Yili Normal University, Yining 835000, China.
Tao LinDesert-Oasis Ecological Monitoring and Restoration Engineering Technology Innovation Center, Ministry of Natural Resources, Urumqi 830002, China.
Zhiguo MiaoDesert-Oasis Ecological Monitoring and Restoration Engineering Technology Innovation Center, Ministry of Natural Resources, Urumqi 830002, China.
Yincheng GongXinjiang Comprehensive Land Consolidation and Rehabilitation Center, Urumqi 830002, China.
Aishajiang AiliResearch Center of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China.ORCID 0000-0003-0462-8041
Fabiola BakayisireResearch Center of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China.ORCID 0000-0001-9852-8919

Funding

Ministry of Natural Resources 2025BSCK-04Xinjiang Institute of Water Resources and Hydropower Research 2025.D-001
6 · The paper itself

Abstract

Mountain vegetation in dryland regions is highly sensitive to climatic variability, particularly changes in water availability and atmospheric demand. This study assessed the relationships between vegetation coverage and climatic factors in the Chinese Altay Mountains from 2000 to 2024 using MODIS NDVI data, meteorological observations, drought indices, and extreme climate indicators. Pixel-based correlation analysis and directional interaction classification were used to evaluate the spatial consistency and divergence between vegetation dynamics and climate variability. The results showed that water availability was the dominant factor controlling vegetation cover. Annual precipitation, SPEI, and precipitation-related extreme indices were generally positively associated with vegetation coverage, whereas warmth-related indices such as GSL, WSDI, and TX90 were mostly negatively associated with vegetation coverage. Temperature showed a spatially variable effect, with warming tending to suppress vegetation in water-limited low- and middle-elevation areas but potentially benefiting vegetation in cold-limited high-elevation zones. SPEI showed a more consistent relationship with vegetation coverage than TVDI, indicating that cumulative climatic water balance better captured regional vegetation drought responses than surface dryness alone. These findings highlight the importance of vegetation-atmosphere water deficit in regulating mountain vegetation dynamics and provide a scientific basis for ecological conservation and water resource management in the Altay Mountains.

Indexed as

Altay Mountainsdroughtextreme climate indicesNDVISPEITVDIvegetation–atmosphere water deficit

Identifiers

PMID42274529
PMCPMC13255846

What OpenQuestion holds

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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.