Evidence map›Paper›PMID 40594150›Full record

ArticleScientific reports2025

Spatiotemporal evolution and driving forces of landscape ecological risk in the lower reaches of the Yellow River from 2000 to 2020.

Yu Lin, Jie Zhou, Jin Wang, Hao Xu, Yan Li, Feiyong Chen, Yaohui Liu

Abstract read
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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yu LinSchool of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, 250101, China.
Jie ZhouSchool of Geography and Tourism, Qilu Normal University, Jinan, 250013, China. zhoujie_821@163.com.
Jin WangInstitute of Resources and Environment Innovation, Shandong Jianzhu University, Jinan, 250101, China.
Hao XuShandong Academy of Agricultural Sciences, Jinan, 250100, China.
Yan LiCollege of Agriculture, Nanjing Agricultural University, Nanjing, 210095, China.
Feiyong ChenInstitute of Resources and Environment Innovation, Shandong Jianzhu University, Jinan, 250101, China.
Yaohui LiuSchool of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, 250101, China.

Funding

China Postdoctoral Science Foundation 2023M732105National Natural Science Foundation of China 42201077Open Subject of Institute of Coal Geology Planning Survey of Shandong Province SDMTKCY-2022-17Shandong Provincial Natural Science Foundation ZR2021QD074Shandong Top Talent Special Foundation 0031504the Youth Innovation Team Project of Higher School in Shandong Province, China 2024KJH087
6 · The paper itself

Abstract

Rapid urban development and human activities have led to drastic changes in land use, resulting to heightened ecological pressures and risks to ecosystems, especially in cities along the lower reaches of the Yellow River (CLRYR), China. However, the landscape pattern and associated ecological risks in the CLRYR in the past twenty years remain unclear. In this study, we employed the land use data to identify the primary landscape types and their transformations, providing an in-depth analysis of the prevailing landscape pattern and the landscape ecological risk (LER) in the CLRYR. Additionally, we explored the spatial distribution of LER and investigated the underlying driving forces behind these changes. The results reveal that: (1) Cropland is the main landscape type in the CLRYR region; however, the area of cropland decreases with the transition to impervious. (2) Due to human activities, landscape fragmentation and diversity have gradually increased in CLRYR, while aggregation has gradually decreased, until there was some improvement between 2015 and 2020. (3) The LER in the CLRYR region exhibits instability, with values of 0.1761, 0.1751, 0.1760, 0.1773, and 0.1751 displaying a fluctuating downward trend. Directional distribution analysis indicates a movement of the LER center of gravity towards the mouth of the Yellow River, accompanied by an increasing dispersion pattern. Analysis of driving forces suggests that natural factors hold greater explanatory power compared to social factors. Moreover, interaction detection results reveal that the combined effect of any two factors surpasses that of a single factor. The findings offer a theoretical foundation for enhancing planning policies aimed at striking a balance between environmental preservation and social advancement within the CLRYR region.

Indexed as

Conservation of Natural ResourcesEcosystemRiversChinaEnvironmental MonitoringHuman ActivitiesHumansSpatio-Temporal AnalysisUrbanizationLandscape ecological risk assessmentLandscape patternLand useOptimal parameters-based geographical detectorStandard deviation ellipseThe lower reaches of the Yellow River

Identifiers

PMID40594150
PMCPMC12217233

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