Evidence map›Paper›PMID 40588028›Full record

ArticleJournal of advanced research2026

Soil moisture and ecosystem vegetation health effects on drought severity.

Muhammad Abrar Faiz, Liangliang Zhang, Dong Liu, Mo Li, Qiang Fu, Muhammad Uzair Qamar, Xiaochen Qi, Tianxiao Li, Song Cui, Ning Ma

Abstract read
In one paragraph

Article in Journal of advanced research, 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

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

10 authors.

Muhammad Abrar FaizSchool of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang 150030, China. Electronic address: faiz_ma@neau.edu.cn.
Liangliang ZhangSchool of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang 150030, China. Electronic address: zhangliangliang@neau.edu.cn.
Dong LiuSchool of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang 150030, China; Joint International Research Laboratory of Habitat Health of Black Soil in Cold Regions, Ministry of Education, Northeast Agricultural University, Harbin, Heilongjiang 150030, China; Key Laboratory of Effective Utilization of Agricultural Water Resources of Ministry of Agriculture and Rural Affairs, Northeast Agricultural University, Harbin, Heilongjiang 150030, China; Heilongjiang Provincial Key Laboratory of Water Resources and Water Conservancy Engineering in Cold Region, Northeast Agricultural University, Harbin, Heilongjiang 150030, China. Electronic address: liudong@neau.edu.cn.
Mo LiSchool of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang 150030, China. Electronic address: limo0828@neau.edu.cn.
Qiang FuSchool of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang 150030, China. Electronic address: fuqiang@neau.edu.cn.
Muhammad Uzair QamarSouth Coast Natural Resource Region, Ministry of Water, Land and Resources Stewardship, Canada. Electronic address: uzair.qamar@gov.bc.ca.
Xiaochen QiSchool of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang 150030, China. Electronic address: z11745@neau.edu.cn.
Tianxiao LiSchool of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang 150030, China. Electronic address: litianxiao@neau.edu.cn.
Song CuiSchool of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang 150030, China; Research Center for Eco-Environment Protection of Songhua River Basin, Northeast Agricultural University, Harbin, Heilongjiang 150030, China. Electronic address: cuisong-bq@neau.edu.cn.
Ning MaKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China. Electronic address: ningma@igsnrr.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDroughts are expected to become more severe due to climate disturbances, posing a serious risk to ecosystems. Therefore, quantifying the drought severity and the resilience of soil moisture and vegetation greening is essential for studying whether the local ecosystem is approaching an alternative state that may be dangerous for agriculture.

objectiveThis study aimed to explore the interactions among vegetation, soil moisture, and drought severity to identify the sensitivity of grid cells to drought under maximum cumulative water deficit critical thresholds and the influence of adaptation factors.

methodsDrought severity and climate disturbance in a local ecosystem were quantified using dynamically adjusted thresholds, a composite drought index, and a dimensionless index based on water-use efficiency.

resultsModerate and severe drought events were observed using only the drought index. However, these identified events differed across grid cells using the leaf area index representing vegetation health and soil moisture thresholds, suggesting less coverage of drought-affected areas. A substantially reduced drought severity event using adaptation factors showed that local climate and adaptation could significantly change these events.

conclusionsThese findings provide new insights into vegetation greening and soil moisture resilience in various regions under drought conditions. The adaptation factor approach significantly reduced the severity of drought tipping events, indicating that local climate and adaptation may affect drought tipping events.

Indexed as

DroughtsEcosystemSoilWaterClimate ChangePlant LeavesSoilWaterAdaptationClimateSevere droughtsTipping pointsWater-use efficiency

Identifiers

PMID40588028
PMCPMC13001175

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LicenceCC BY-NC-ND
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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.