Evidence map›Paper›PMID 40442148›Full record

ArticleScientific reports2025

Integrating landsat NDVI data with climate and anthropogenic factors reveals drivers of vegetation dynamics in the semi-arid Basin of Western China.

Lina Li, Rui Xia, Ming Dou, Minhua Ling, Guiqiu Li, Cai Wang, Qingbin Mi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Lina LiSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, China.
Rui XiaState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, 8 Dayangfang, Beijing, 100012, China. xiarui@craes.org.cn.
Ming DouSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, China.
Minhua LingSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, China.
Guiqiu LiSchool of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China.
Cai WangNantong Branch of the Hydrology and Water Resources Survey Bureau of Jiangsu Province, Nantong, 226000, China.
Qingbin MiSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, China.

Funding

Joint Research Program for Ecological Conservation and High Quality Development of the Yellow River Basin 2022-YRUC-01National Key R&D Program of China 2021YFC3201003National Natural Science Foundation of China 52479078
6 · The paper itself

Abstract

In remote sensing research, vegetation dynamics are often used as indicators of ecosystem conditions, especially in semi-arid areas. The Wei River Basin (WRB) is a semi-arid region in western China prone to climate change and sensitive to the environment. Driven by climate change and human activities, particularly the recent reforestation projects, the environment and landscape of this region have undergone significant changes. However, the quantitative contributions of the driving factors to vegetation dynamics have not yet been well established. Here, we use a first-difference multiple regression model to separate and quantify the impacts of climate change and human activities on normalized difference vegetation index (NDVI) from 1998 to 2023. The results indicate that: (1) the growing season NDVI has significantly increased (slope = 0.006, R

Indexed as

Anthropogenic EffectsClimate ChangeEnvironmental MonitoringRemote Sensing TechnologyChinaClimateConservation of Natural ResourcesEcosystemHumansRiversSeasonsAnthropogenic factorsClimate changeNormalized difference vegetation indexSemi-arid areaSpatiotemporal changes

Identifiers

PMID40442148
PMCPMC12122850

What OpenQuestion holds

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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.