Spatio-temporal evolution and prediction of desertification sensitivity in the Hulun Buir grassland under future climate scenarios

Desertification ranks among the most serious environmental problems facing human society. What drives desertification in the Hulun Buir grassland? To answer that and improve how we manage it, this study used two tools: the MEDALUS model and the Geodetector method. These helped analyze changes in space and time, plus the factors behind them. Looking ahead, the same MEDALUS model was run with three CMIP6 forcing scenarios (low, medium, high). That gave projections for two future windows: mid-century (2030–2050) and late century (2070–2100). Desertification sensitivity exhibited a decrease–increase–decrease trend during 2001–2020, with a spatial pattern of “low in the east and high in the west”. Precipitation has the strongest inhibitory effect on desertification (β = −0.468), primarily by promoting vegetation growth (β = 0.577) and increasing soil moisture (β = 0.439). Vegetation cover directly inhibits desertification (β = −0.351) and mitigates soil erosion. Temperature affects desertification in two opposite ways: it worsens soil erosion (β = 0.293) on one side, yet also shows a slight direct restraining effect (β = −0.108) on the other. Soil sandification is a key process that intensifies desertification (β = 0.156). How sensitive the land will be in the future depends heavily on which emission path is taken. Under SSP1–2.6 and SSP2–4.5, it goes down, but under SSP5–8.5 it goes up, and the change speeds up over time. This work offers a scientific foundation for stopping desertification and protecting ecosystems in semi-dry areas.

Authors

Institutions

Publication Details

Journal
Ecological Indicators
Published
2026-10-28
DOI
https://doi.org/10.1016/j.ecolind.2026.115789
Primary Topic
Environmental Changes in China
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatio-temporal evolution and prediction of desertification sensitivity in the Hulun Buir grassland under future climate scenarios

Shan Yin, Yu Hong, Risu Na, Yongsheng Wu et al.
2 links
Ecological Indicators
Environmental Changes in China
article

Spatio-temporal evolution and prediction of desertification sensitivity in the Hulun Buir grassland under future climate scenarios

Shan Yin, Yu Hong, Risu Na, Yongsheng Wu, Na Li, Yundalai Wu, Jisiguleng Wu
article en

Abstract

Desertification ranks among the most serious environmental problems facing human society. What drives desertification in the Hulun Buir grassland? To answer that and improve how we manage it, this study used two tools: the MEDALUS model and the Geodetector method. These helped analyze changes in space and time, plus the factors behind them. Looking ahead, the same MEDALUS model was run with three CMIP6 forcing scenarios (low, medium, high). That gave projections for two future windows: mid-century (2030–2050) and late century (2070–2100). Desertification sensitivity exhibited a decrease–increase–decrease trend during 2001–2020, with a spatial pattern of “low in the east and high in the west”. Precipitation has the strongest inhibitory effect on desertification (β = −0.468), primarily by promoting vegetation growth (β = 0.577) and increasing soil moisture (β = 0.439). Vegetation cover directly inhibits desertification (β = −0.351) and mitigates soil erosion. Temperature affects desertification in two opposite ways: it worsens soil erosion (β = 0.293) on one side, yet also shows a slight direct restraining effect (β = −0.108) on the other. Soil sandification is a key process that intensifies desertification (β = 0.156). How sensitive the land will be in the future depends heavily on which emission path is taken. Under SSP1–2.6 and SSP2–4.5, it goes down, but under SSP5–8.5 it goes up, and the change speeds up over time. This work offers a scientific foundation for stopping desertification and protecting ecosystems in semi-dry areas.

Ecological IndicatorsVol. 192
Inner Mongolia Normal University (CN)
Education Department of Inner Mongolia Autonomous Region, National Natural Science Foundation of China
Life on land, Climate action
Openalex Percentile: Top 17%
Environmental Changes in China
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon