4.6 Article

The Ecosystem Services Value Change and Its Driving Forces Responding to Spatio-Temporal Process of Landscape Pattern in the Co-Urbanized Area

Journal

LAND
Volume 10, Issue 10, Pages -

Publisher

MDPI
DOI: 10.3390/land10101043

Keywords

ecosystem service value (ESV); Zhongmu County; landscape pattern; spatio-temporal changes; spatial relationship; Zhengzhou-Kaifeng integration policy

Funding

  1. National Natural Science Foundation of China [31600579]
  2. Young Backbone Teachers in Higher Education Institutions in Henan Province [2020GGJS049]
  3. Henan International Cooperation Research Project [HNGD2021035]

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The study found that the landscape of Zhongmu County experienced changes during the study period, including an increase in patch density and shape complexity, landscape diversity, and fragmentation, while landscape connectivity decreased. The total amount of ESV increased by 10.05 million USD, with high-value clusters mainly located at the northern boundary of the Yellow River and low-value clusters expanding eastward. Changes in landscape patterns and ESV were mainly driven by the regional development policy of Zhengzhou-Kaifeng integration, and could be improved through policy measures such as optimizing the layout of construction land and adjusting the distribution of green areas.
The development of urbanization is still expanding on the earth, and the rapid expansion of cities has changed the regional landscape pattern and significantly affected the value of regional ecosystem services in developing countries such as China. Zhongmu County, as the core area of Zhengzhou-Kaifeng integration, studying the temporal and spatial transformations of its landscape pattern and ecosystem service value (ESV) is of great significance to the region's sustainable development. Based on remote sensing images and socioeconomic data, this study aims to explore the landscape pattern of Zhongmu County from 2005 to 2018 and its impact on ESV. Research methods include an ESV equivalent factor method, landscape pattern index, spatial autocorrelation, and other methods. The results showed that: (1) During the study period, the patch density and shape complexity, landscape diversity, and fragmentation of the overall landscape in the study area continued to increase while landscape connectivity decreased. (2) The total amount of ESV increased by 10.05 million USD; ESV had certain differences in spatial distribution: high-value clusters were mainly located at the boundary of the Yellow River in the north, while low-value clusters had a significant eastward expansion trend. (3) ESV increased significantly in areas where cultivated land was transferred to waters and forests, and ESV in areas where waters transferred to construction land and cultivated land was significantly reduced. (4) ESV had a significant positive spatial correlation with patch density, edge density, mean patch fractal dimension, mean patch size, and the landscape shape index, and a spatially negative correlation with the contagion index and cohesion index. The spatial and temporal changes in landscape patterns and ESV were all mainly driven by the regional development Zhengzhou-Kaifeng integration policy. Therefore, the ESV can be improved, and the ecological security of the urban integration area can be guaranteed through policy measures such as optimizing the layout of construction land and adjusting the uniform distribution of green areas by the land-use policy.

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