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Assessment of Ecosystem Services: Spatio-Temporal Analysis and the Spatial Response of Influencing Factors in Hainan Province

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  • Binyu Ren

    (The Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, China)

  • Qianfeng Wang

    (The Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, China
    College of Environment & Safety Engineering, Fuzhou University, Fuzhou 350116, China)

  • Rongrong Zhang

    (College of Environment & Safety Engineering, Fuzhou University, Fuzhou 350116, China)

  • Xiaozhen Zhou

    (The Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, China)

  • Xiaoping Wu

    (College of Environment & Safety Engineering, Fuzhou University, Fuzhou 350116, China)

  • Qing Zhang

    (Key Laboratory of Earth Observation of Hainan Province, Hainan Research Institute, Aerospace Information Research Institute, Chinese Academy of Sciences, Sanya 572029, China)

Abstract

The impact of human activities on ecosystems is receiving increasing attention because their mechanisms of action are complex; the spatial response of ecosystem service drivers still needs to be explored further. This study evaluated three ecosystem services—water yield, soil conservation, and carbon storage—in Hainan Province from 2000 to 2020; we analyzed the spatial and temporal changes of the ecosystem services, and the spatial heterogeneity of the influencing factors. The results were as follows: (1) The average water yield, soil conservation and carbon storage of Hainan Province from 2000 to 2020 were 42.36 billion, 8.01 × 10 8 t and 1.52 × 10 7 t, respectively. Overall, the ecosystem services were relatively weak at lower elevations. (2) There were obvious hot spots and cold spots in the water yield and soil conservation, and the hot spot distribution of carbon storage was not obvious. (3) There were differences between the ecosystem services for different land use types; trade-off relationships only appeared between unused land and ecosystem services. (4) The precipitation, normalized difference vegetation index and elevation factors had great impacts on the ecosystem services. Most of the human activity factors showed a significant nonlinear enhancement effect during their interaction. Population and elevation had obvious spatial differentiation effects on the water yield and carbon storage services.

Suggested Citation

  • Binyu Ren & Qianfeng Wang & Rongrong Zhang & Xiaozhen Zhou & Xiaoping Wu & Qing Zhang, 2022. "Assessment of Ecosystem Services: Spatio-Temporal Analysis and the Spatial Response of Influencing Factors in Hainan Province," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9145-:d:872518
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    References listed on IDEAS

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    1. Peng, Jian & Tian, Lu & Zhang, Zimo & Zhao, Yan & Green, Sophie M. & Quine, Timothy A. & Liu, Hongyan & Meersmans, Jeroen, 2020. "Distinguishing the impacts of land use and climate change on ecosystem services in a karst landscape in China," Ecosystem Services, Elsevier, vol. 46(C).
    2. Boumans, Roelof & Roman, Joe & Altman, Irit & Kaufman, Les, 2015. "The Multiscale Integrated Model of Ecosystem Services (MIMES): Simulating the interactions of coupled human and natural systems," Ecosystem Services, Elsevier, vol. 12(C), pages 30-41.
    3. Yuqing Xu & Fengjin Xiao, 2022. "Assessing Changes in the Value of Forest Ecosystem Services in Response to Climate Change in China," Sustainability, MDPI, vol. 14(8), pages 1-22, April.
    4. A. Stewart Fotheringham & Wenbai Yang & Wei Kang, 2017. "Multiscale Geographically Weighted Regression (MGWR)," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(6), pages 1247-1265, November.
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    Cited by:

    1. Zichun Yan & Ninglong You & Lu Wang & Chengwei Lan, 2023. "Assessing the Impact of Road Network on Urban Landscape Ecological Risk Based on Corridor Cutting Degree Model in Fuzhou, China," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    2. Dan Ye & Liu Yang & Min Zhou, 2023. "Spatiotemporal Variation in Ecosystem Health and Its Driving Factors in Guizhou Province," Land, MDPI, vol. 12(7), pages 1-23, July.

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