Evidence map›Paper›PMID 41530238›Full record

ArticleScientific reports2026

Impacts of climate change and land use dynamics on soil erosion in the Qinghai-Tibet plateau.

Eslam Rashad, Yujie Liu, Zhaoyang Shi, Ahmed Refaee, Tao Pan

Abstract read
In one paragraph

Article in Scientific reports, 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

5 authors.

Eslam RashadKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. eslamrashad@mails.ucas.ac.cn.
Yujie LiuKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. liuyujie@igsnrr.ac.cn.
Zhaoyang ShiKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Ahmed RefaeeUniversity of Chinese Academy of Sciences, Beijing, 100049, China.
Tao PanKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. pantao@igsnrr.ac.cn.

Funding

National Key R&D Program of China 2024YFD1501604National Science Fund for Excellent Young Scholars 42122003Science Fund for Creative Research Groups of the National Natural Science Foundation of China 72221002Strategic Priority Research Program of the Chinese Academy of Sciences XDA28060200Youth Innovation Promotion Association of the Chinese Academy of Sciences Y202016
6 · The paper itself

Abstract

Soil erosion (SE) caused by water is exacerbated by climate change and human activity, threatening water resources and ecological stability. The Qinghai-Tibet Plateau (QTP), with its unique ecosystem and river systems, is heavily influenced by sedimentation linked to water- induced SE. This study evaluates current SE patterns on the QTP and forecasts soil loss for 2050 and 2090 to identify priority areas for soil and water conservation. SE trends from 1985 to 2020 were conducted using the InVEST model. The CA-Markov model, in conjunction with CMIP6 climate projections, was employed to predict SE under varying land use and cover (LUCC) and climate change scenarios for the future. The results show that the average annual SE on the QTP stands at 20.02 t h⁻¹ ya⁻¹ from 1985 to 2020. Under the LUCC scenarios, SE projected to decrease by 0.2% by 2050 and by 2.24% by 2090. However, in climate change scenarios, SE is expected to rise significantly, increasing by 15.71% and 16.73% by 2050 according to the SSP2-4.5 and SSP5-8.5 pathways, respectively. By 2090, SE is expected to grow by 22.44% and 28.57% according to SSP2-4.5 and SSP5-8.5. These findings indicate that climate change, rather than LUCC, is the dominant driver of future SE on the QTP. The results provide critical insights for watershed-scale soil and water management, supporting ecological conservation strategies in this climate-sensitive region.

Indexed as

Climate changeCMIP6InVEST modelLand use change modelingQinghai-Tibet plateauSoil erosion

Identifiers

PMID41530238
PMCPMC12865180

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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.