Decoupling Land Use Intensity and Ecological Risk: Insights from Heilongjiang Province of the Chinese Mollisol Region

Global land use changes and human activities have escalated regional ecological risk, yet studies on the decoupling relationship between land use intensity (LUI) and ecological risk (ERI) remain limited. This study explored the decoupling relationship between LUI and ERI from 1990 to 2020 in Heilongjiang Province and analyzed the primary driving factors of the ERI using a decoupling model and an optimal parameter geographic detector (OPGD). The results indicate significant land use changes, particularly the conversion of woodland and grassland into farmland, resulting in a net increase of 18,055.96 km2 in farmland area. The LUI in Heilongjiang Province increased by 6.43 between 1990 and 2020. The ERI exhibited a significant upward trend from 1990 to 2020, with the average index rising from 0.097 in 1990 to 0.132 in 2020. The proportion of moderate- and higher-ecological-risk areas increased by 10.6%. A decoupling analysis indicated that most regions experienced expansionary negative decoupling between the LUI and ERI, in which the ERI escalated at a faster rate than the LUI. Furthermore, the DEM and NDVI demonstrated the highest explanatory power for the ERI, both exceeding 30%, and the synergistic interaction between the DEM and NDVI amplified spatial heterogeneity by altering microclimatic conditions. This study provides crucial insights for land management and ecological conservation policies in Heilongjiang.

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Publication Details

Journal
Remote Sensing
Published
2025-06-30
DOI
https://doi.org/10.3390/rs17132243
Citations
1
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
1.11

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article

Decoupling Land Use Intensity and Ecological Risk: Insights from Heilongjiang Province of the Chinese Mollisol Region

Xihua Yang, Shouzhang Peng, Dennis C. Flanagan, Yuchen Fu et al.
1 citations
Remote Sensing
Land Use and Ecosystem Services
1.11
article

Decoupling Land Use Intensity and Ecological Risk: Insights from Heilongjiang Province of the Chinese Mollisol Region

Xihua Yang, Shouzhang Peng, Dennis C. Flanagan, Yuchen Fu, Lun Wang, Fenli Zheng, Jiaqiong Zhang, Binglong Wu, Zhi Li
article en
1 citations

Abstract

Global land use changes and human activities have escalated regional ecological risk, yet studies on the decoupling relationship between land use intensity (LUI) and ecological risk (ERI) remain limited. This study explored the decoupling relationship between LUI and ERI from 1990 to 2020 in Heilongjiang Province and analyzed the primary driving factors of the ERI using a decoupling model and an optimal parameter geographic detector (OPGD). The results indicate significant land use changes, particularly the conversion of woodland and grassland into farmland, resulting in a net increase of 18,055.96 km2 in farmland area. The LUI in Heilongjiang Province increased by 6.43 between 1990 and 2020. The ERI exhibited a significant upward trend from 1990 to 2020, with the average index rising from 0.097 in 1990 to 0.132 in 2020. The proportion of moderate- and higher-ecological-risk areas increased by 10.6%. A decoupling analysis indicated that most regions experienced expansionary negative decoupling between the LUI and ERI, in which the ERI escalated at a faster rate than the LUI. Furthermore, the DEM and NDVI demonstrated the highest explanatory power for the ERI, both exceeding 30%, and the synergistic interaction between the DEM and NDVI amplified spatial heterogeneity by altering microclimatic conditions. This study provides crucial insights for land management and ecological conservation policies in Heilongjiang.

Remote SensingVol. 17(13)
Purdue University West Lafayette (US), Institute of Soil and Water Conservation (CN), Northwest Institute of Mechanical and Electrical Engineering (CN), University of Chinese Academy of Sciences (CN), NSW Department of Climate Change, Energy, the Environment and Water, South University (US), Northwest A&F University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 23%
Land Use and Ecosystem Services
1.11
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