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2000—2020年黄河下游景观生态风险的时空演变及驱动因素

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

作者信息

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

机构信息

School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, 250101, China.

Shandong Planning and Surveying Institute of Coalfield Geology, Jinan, 250100, China.

出版信息

Sci Rep. 2025 Jul 1;15(1):21375. doi: 10.1038/s41598-025-05724-4.

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.

摘要

快速的城市发展和人类活动导致了土地利用的急剧变化,给生态系统带来了更大的压力和风险,尤其是在中国黄河下游地区(CLRYR)的城市。然而,过去二十年来CLRYR的景观格局和相关生态风险仍不明确。在本研究中,我们利用土地利用数据识别主要景观类型及其变化,深入分析了CLRYR地区的主导景观格局和景观生态风险(LER)。此外,我们还探索了LER的空间分布,并调查了这些变化背后的潜在驱动力。结果表明:(1)耕地是CLRYR地区的主要景观类型;然而,随着不透水区域的转变,耕地面积减少。(2)由于人类活动,CLRYR地区的景观破碎化和多样性逐渐增加,而聚集度逐渐降低,直到2015年至2020年有所改善。(3)CLRYR地区的LER表现出不稳定性,其值分别为0.1761、0.1751、0.1760、0.1773和0.1751,呈波动下降趋势。方向分布分析表明,LER重心向黄河入海口移动,且分散模式不断增加。驱动力分析表明,自然因素比社会因素具有更大的解释力。此外,交互作用检测结果表明,任意两个因素的综合作用超过单个因素。这些发现为加强规划政策提供了理论基础,旨在在CLRYR地区实现环境保护与社会发展之间的平衡。

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