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Temporal–Spatial Distribution of Ecosystem Health and Its Response to Human Interference Based on Different Terrain Gradients: A Case Study in Gannan, China

Author

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  • Yu Shi

    (College of the Life and Environmental Science, Minzu University of China, Beijing 100081, China)

  • Rui Han

    (College of the Life and Environmental Science, Minzu University of China, Beijing 100081, China)

  • Luo Guo

    (College of the Life and Environmental Science, Minzu University of China, Beijing 100081, China)

Abstract

The exploitation, utilization, and protection of land resources are some of the great social problems during the process of rapid urbanization in China. The status of land use directly affects ecosystem health (ESH). The evaluation of ESH and the spatial correlations between urbanization caused by human interference help us to analyze the influence of urbanization on ecosystems and also provide new insight into reasonable and scientific resource management. In this study, we evaluated the ESH of Gannan, in Jiangxi Province, China, based on ecosystem service values (ESV) and selected a series of indicators to detect the impact of urbanization on ecosystem health in 1990, 1995, 2000, 2005, 2010. and 2015. Remote sensing (RS) and the Geographic Information System (GIS) were used as processing tools to calculate basic data and to map the results based on different terrain gradients. The results show that ecosystem health suffered a downward trend from 1990 to 2015. Especially, the area proportion at an unhealthy level and average health (ave-health) level increased prominently, and the area of a well state decreased. Further, the results indicate that urbanization had a negative impact on ESH. The degree of a negative correlation increases with the process of urban sprawl. In addition, we found that from 1990 to 2015, the area proportion of a degraded level and unhealthy level was the highest on the first terrain gradient, and as the terrain gradient increased, this area proportion also decreased. However, the high interference region occupies a higher proportion in the lower terrain gradient. Consequently, the results could reveal the impact of urbanization on ecosystem health and could provide an even more effective service for a sustainable development.

Suggested Citation

  • Yu Shi & Rui Han & Luo Guo, 2020. "Temporal–Spatial Distribution of Ecosystem Health and Its Response to Human Interference Based on Different Terrain Gradients: A Case Study in Gannan, China," Sustainability, MDPI, vol. 12(5), pages 1-17, February.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:1773-:d:325866
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    References listed on IDEAS

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    1. Lizhuang Liang & Feng Chen & Lei Shi & Shukui Niu, 2018. "NDVI-derived forest area change and its driving factors in China," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-19, October.
    2. Pedro V. Amaral & Luc Anselin, 2014. "Finite sample properties of Moran's I test for spatial autocorrelation in tobit models," Papers in Regional Science, Wiley Blackwell, vol. 93(4), pages 773-781, November.
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    Cited by:

    1. Hang Shu & Chunwang Xiao & Ting Ma & Weiguo Sang, 2021. "Ecological Health Assessment of Chinese National Parks Based on Landscape Pattern: A Case Study in Shennongjia National Park," IJERPH, MDPI, vol. 18(21), pages 1-15, October.
    2. Qiming Wang & Kun Yang & Lixiao Li & Yanhui Zhu, 2022. "Assessing the Terrain Gradient Effect of Landscape Ecological Risk in the Dianchi Lake Basin of China Using Geo-Information Tupu Method," IJERPH, MDPI, vol. 19(15), pages 1-19, August.
    3. Ji Zhang & Zelin Liu & Yu Shi & Ziying Zou, 2022. "Spatial Response of Ecosystem Service Value to Urbanization in Fragile Vegetation Areas Based on Terrain Gradient," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
    4. Li Wu & Yanjun Yang & Hailan Yang & Binggeng Xie & Weiqun Luo, 2023. "A Comparative Study on Land Use/Land Cover Change and Topographic Gradient Effect between Mountains and Flatlands of Southwest China," Land, MDPI, vol. 12(6), pages 1-20, June.
    5. Wei Shen & Yang Li, 2022. "Multi-Scale Assessment and Spatio-Temporal Interaction Characteristics of Ecosystem Health in the Middle Reaches of the Yellow River of China," IJERPH, MDPI, vol. 19(23), pages 1-21, December.

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