The spatial–temporal changes and driving factors of desertification in the Wuliangsuhai watershed based on remote sensing

• Barren lands has the largest reduction. • The results of the DDI analysis showed a decrease from 2020 to 2022. • The FVC had the highest level of explained variance. • The desertification has developed in a positive direction. Wuliangsuhai watershed is a large freshwater lake in Hulunbuir City, Inner Mongolia Autonomous Region, with important ecological, cultural and economic values. Based on the Landsat 8 OLI remote sensing images, this study used the object-oriented CART decision tree to map the land cover, the pixel dichotomy model to estimate the FVC and Albedo-NDVI formula to estimate DDI in the Wuliangsuhai watershed in 2020, 2021 and 2022. Besides, Geo-informatic tupu and geographical detector model were also used to analysis the changing patterns and drivers of desertification. The results indicated a decline in desertification in the Wuliangsuhai watershed from 2020 to 2022. The area of barren lands exhibited a 17.41% reduction with a 37.78% decline in the FVC in the no vegetation class. The area of the DDI in the no desertification level increased, while that of the extremely severe desertification level decreased. Furthermore, the geo-informatic tupu indicated that the desertification improvement area showed consistent growth during the study period. However, a considerable proportion of the grasslands (32.73%) remained degraded, and the area of FVC in the moderately dense vegetation class exhibited a notable decline (21.32%). And the area affected by severe desertification level of DDI increased. This can be attributed to a combination of climatic, ecosystem conditions and human impacts. In particular, the reduction in precipitation, coupled with the steep slopes and negative human activities, has accelerated the desertification process. Consequently, this study provides recommendations for policy makers to prioritize negative human activities and soil erosion in the Wuliangsuhai watershed.

Authors

Institutions

Publication Details

Journal
Ecological Indicators
Published
2024-11-19
DOI
https://doi.org/10.1016/j.ecolind.2024.112851
Citations
6
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
2.26
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The spatial–temporal changes and driving factors of desertification in the Wuliangsuhai watershed based on remote sensing

Shangzhe Li, Xingyu Liu, Binquan Ji, Zhendong Huang et al.
6 citations
Ecological Indicators
Remote Sensing and Land Use
2.26
article

The spatial–temporal changes and driving factors of desertification in the Wuliangsuhai watershed based on remote sensing

Shangzhe Li, Xingyu Liu, Binquan Ji, Zhendong Huang, Xiuzhong Li, Na Li, Qingwei Zeng, Wenwen Gao, Dan Zhao, Gongqi Sun
article en
6 citations

Abstract

• Barren lands has the largest reduction. • The results of the DDI analysis showed a decrease from 2020 to 2022. • The FVC had the highest level of explained variance. • The desertification has developed in a positive direction. Wuliangsuhai watershed is a large freshwater lake in Hulunbuir City, Inner Mongolia Autonomous Region, with important ecological, cultural and economic values. Based on the Landsat 8 OLI remote sensing images, this study used the object-oriented CART decision tree to map the land cover, the pixel dichotomy model to estimate the FVC and Albedo-NDVI formula to estimate DDI in the Wuliangsuhai watershed in 2020, 2021 and 2022. Besides, Geo-informatic tupu and geographical detector model were also used to analysis the changing patterns and drivers of desertification. The results indicated a decline in desertification in the Wuliangsuhai watershed from 2020 to 2022. The area of barren lands exhibited a 17.41% reduction with a 37.78% decline in the FVC in the no vegetation class. The area of the DDI in the no desertification level increased, while that of the extremely severe desertification level decreased. Furthermore, the geo-informatic tupu indicated that the desertification improvement area showed consistent growth during the study period. However, a considerable proportion of the grasslands (32.73%) remained degraded, and the area of FVC in the moderately dense vegetation class exhibited a notable decline (21.32%). And the area affected by severe desertification level of DDI increased. This can be attributed to a combination of climatic, ecosystem conditions and human impacts. In particular, the reduction in precipitation, coupled with the steep slopes and negative human activities, has accelerated the desertification process. Consequently, this study provides recommendations for policy makers to prioritize negative human activities and soil erosion in the Wuliangsuhai watershed.

Ecological IndicatorsVol. 169
Commercial Aircraft Corporation of China (China) (CN), North China Institute of Science and Technology (CN), Chinese Academy of Sciences (CN), Shenwu Technology Group Corp (China) (CN), Aerospace Information Research Institute (CN), Beijing Automotive Group (China) (CN), University of Chinese Academy of Sciences (CN), Taiyuan University of Technology (CN)
Climate action
Openalex Percentile: Top 12%
Remote Sensing and Land Use
2.26
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.