IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i7p1439-d1197766.html
   My bibliography  Save this article

Spatiotemporal Variation in Ecosystem Health and Its Driving Factors in Guizhou Province

Author

Listed:
  • Dan Ye

    (School of Public Administration, Guizhou University, Guiyang 550025, China)

  • Liu Yang

    (School of Public Administration, Guizhou University, Guiyang 550025, China
    ASEAN Research Institute, Guizhou University, Guiyang 550025, China)

  • Min Zhou

    (School of Public Administration, Guizhou University, Guiyang 550025, China)

Abstract

Healthy ecosystems are crucial for sustainable regional development. The lack of spatial distribution patterns and driving factors of ecosystem health limited ecosystem management and urban planning. Understanding the spatiotemporal variation characteristics of ecosystem health and its driving factors can contribute to ecosystem management. Based on the “vigor–organization–resilience” (VOR) framework, this paper focuses on increasing ESs and forming an improved “vigor–organization–resilience–ecosystem services (VORS)” framework to evaluate the ecosystem health of Guizhou Province in 2010 and 2020. At the same time, we used the geographic detector model to investigate the driving factors of ecosystem health in the region. The results revealed the following: (1) The areas of forest land accounted for more than 52%. Simultaneously, farmland and forest land decreased, while construction land increased from 2010 to 2020. Construction land was mainly converted from forest land, grassland and farmland. (2) The level of ecosystem health in Guizhou Province spatially increased from northwest to southeast, with the central part exhibiting the lowest health level. The ecosystem health index (EHI) was mainly moderate, accounting for 78.32% and 83.80% in 2010 and 2020, respectively. (3) Among the 11 selected driving factors, the gross domestic product (GDP), general public budget revenue, annual average temperature, average annual precipitation, and night light index significantly affected ecosystem health. Our research refines ecosystem health research and the results will contribute to effective and precise decision-making in ecosystem management and the implementation of land use policies.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:7:p:1439-:d:1197766
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/7/1439/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/7/1439/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sipei Pan & Jiale Liang & Wanxu Chen & Jiangfeng Li & Ziqi Liu, 2021. "Gray Forecast of Ecosystem Services Value and Its Driving Forces in Karst Areas of China: A Case Study in Guizhou Province, China," IJERPH, MDPI, vol. 18(23), pages 1-20, November.
    2. Yi Xiao & Luo Guo & Weiguo Sang, 2020. "Impact of Fast Urbanization on Ecosystem Health in Mountainous Regions of Southwest China," IJERPH, MDPI, vol. 17(3), pages 1-16, January.
    3. Shengzi Chen & Zhongfa Zhou & Lihui Yan & Bo Li, 2016. "Quantitative Evaluation of Ecosystem Health in a Karst Area of South China," Sustainability, MDPI, vol. 8(10), pages 1-14, October.
    4. Zhi Wang & Zhaoping Yang & Hui Shi & Fang Han & Qin Liu & Jianwei Qi & Yayan Lu, 2020. "Ecosystem Health Assessment of World Natural Heritage Sites Based on Remote Sensing and Field Sampling Verification: Bayanbulak as Case Study," Sustainability, MDPI, vol. 12(7), pages 1-21, March.
    5. Wu, Xutong & Wang, Shuai & Fu, Bojie & Liu, Yu & Zhu, Yuan, 2018. "Land use optimization based on ecosystem service assessment: A case study in the Yanhe watershed," Land Use Policy, Elsevier, vol. 72(C), pages 303-312.
    6. Zhijie Wang & Yan Liu & Yixin Li & Yuan Su, 2022. "Response of Ecosystem Health to Land Use Changes and Landscape Patterns in the Karst Mountainous Regions of Southwest China," IJERPH, MDPI, vol. 19(6), pages 1-18, March.
    7. Fisher, Brendan & Turner, R. Kerry & Morling, Paul, 2009. "Defining and classifying ecosystem services for decision making," Ecological Economics, Elsevier, vol. 68(3), pages 643-653, January.
    8. Svenja Belaoussoff & Peter G. Kevan, 2003. "Are There Ecological Foundations for Ecosystem Health?," Environment Systems and Decisions, Springer, vol. 23(3), pages 255-263, September.
    9. Yina Ma & Shixiong Wang & Qing Zhang & Kun Guo & Yuejun He & Danmei Chen & Mingzhen Sui & Guangqi Zhang & Lipeng Zang & Qingfu Liu, 2022. "Aerial Seeding Promotes the Restoration of Ecosystem Health in Mu Us Sandy Grasslands in China," Agriculture, MDPI, vol. 12(8), pages 1-13, August.
    10. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tonghui Yu & Xuan Huang & Shanshan Jia & Xufeng Cui, 2023. "Unveiling the Spatio-Temporal Evolution and Key Drivers for Urban Green High-Quality Development: A Comparative Analysis of China’s Five Major Urban Agglomerations," Land, MDPI, vol. 12(11), pages 1-25, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jingwei Wang & Jinhe Zhang & Peijia Wang & Xiaobin Ma & Liangjian Yang & Leying Zhou, 2022. "Progress in Ecosystem Health Research and Future Prospects," Sustainability, MDPI, vol. 14(23), pages 1-22, November.
    2. 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.
    3. Chen, Dengshuai & Li, Jing & Yang, Xiaonan & Zhou, Zixiang & Pan, Yuqi & Li, Manchun, 2020. "Quantifying water provision service supply, demand and spatial flow for land use optimization: A case study in the YanHe watershed," Ecosystem Services, Elsevier, vol. 43(C).
    4. Binpin Gao & Yingmei Wu & Chen Li & Kejun Zheng & Yan Wu, 2022. "Ecosystem Health Responses of Urban Agglomerations in Central Yunnan Based on Land Use Change," IJERPH, MDPI, vol. 19(19), pages 1-20, September.
    5. Comino, E. & Ferretti, V., 2016. "Indicators-based spatial SWOT analysis: supporting the strategic planning and management of complex territorial systems," LSE Research Online Documents on Economics 64142, London School of Economics and Political Science, LSE Library.
    6. Daniela D’Alessandro & Andrea Rebecchi & Letizia Appolloni & Andrea Brambilla & Silvio Brusaferro & Maddalena Buffoli & Maurizio Carta & Alessandra Casuccio & Liliana Coppola & Maria Vittoria Corazza , 2023. "Re-Thinking the Environment, Cities, and Living Spaces for Public Health Purposes, According with the COVID-19 Lesson: The LVII Erice Charter," Land, MDPI, vol. 12(10), pages 1-17, September.
    7. Bolaños-Valencia, Ingrid & Villegas-Palacio, Clara & López-Gómez, Connie Paola & Berrouet, Lina & Ruiz, Aura, 2019. "Social perception of risk in socio-ecological systems. A qualitative and quantitative analysis," Ecosystem Services, Elsevier, vol. 38(C), pages 1-1.
    8. Ze Han & Wei Song & Xiangzheng Deng, 2016. "Responses of Ecosystem Service to Land Use Change in Qinghai Province," Energies, MDPI, vol. 9(4), pages 1-16, April.
    9. Alessio D’Auria & Pasquale De Toro & Nicola Fierro & Elisa Montone, 2018. "Integration between GIS and Multi-Criteria Analysis for Ecosystem Services Assessment: A Methodological Proposal for the National Park of Cilento, Vallo di Diano and Alburni (Italy)," Sustainability, MDPI, vol. 10(9), pages 1-25, September.
    10. Johann Audrain & Mateo Cordier & Sylvie Faucheux & Martin O’Connor, 2013. "Écologie territoriale et indicateurs pour un développement durable de la métropole parisienne," Revue d'économie régionale et urbaine, Armand Colin, vol. 0(3), pages 523-559.
    11. Hooper, Tara & Cooper, Philip & Hunt, Alistair & Austen, Melanie, 2014. "A methodology for the assessment of local-scale changes in marine environmental benefits and its application," Ecosystem Services, Elsevier, vol. 8(C), pages 65-74.
    12. Min Liu & Jianpeng Fan & Yuanzheng Li & Qizheng Mao, 2023. "Ecosystem Service Optimisation in the Central Plains Urban Agglomeration Based on Land Use Structure Adjustment," Land, MDPI, vol. 12(7), pages 1-27, July.
    13. H. Spencer Banzhaf & James Boyd, 2012. "The Architecture and Measurement of an Ecosystem Services Index," Sustainability, MDPI, vol. 4(4), pages 1-32, March.
    14. Wang, Shifeng & Wang, Sicong & Smith, Pete, 2015. "Quantifying impacts of onshore wind farms on ecosystem services at local and global scales," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1424-1428.
    15. Elena Ojea & Paulo Nunes & Maria Loureiro, 2010. "Mapping Biodiversity Indicators and Assessing Biodiversity Values in Global Forests," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(3), pages 329-347, November.
    16. Bo Yang & Ming-Han Li & Shujuan Li, 2013. "Design-with-Nature for Multifunctional Landscapes: Environmental Benefits and Social Barriers in Community Development," IJERPH, MDPI, vol. 10(11), pages 1-26, October.
    17. Shujun Liu & Xinzhuan Yao & Degang Zhao & Litang Lu, 2021. "Evaluation of the ecological benefits of tea gardens in Meitan County, China, using the InVEST model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 7140-7155, May.
    18. Stapleton, L.M. & Hanna, P. & Ravenscroft, N. & Church, A., 2014. "A flexible ecosystem services proto-typology based on public opinion," Ecological Economics, Elsevier, vol. 106(C), pages 83-90.
    19. Norgaard, Richard B., 2010. "Ecosystem services: From eye-opening metaphor to complexity blinder," Ecological Economics, Elsevier, vol. 69(6), pages 1219-1227, April.
    20. Gregg C. Brill & Pippin M. L. Anderson & Patrick O’Farrell, 2022. "Relational Values of Cultural Ecosystem Services in an Urban Conservation Area: The Case of Table Mountain National Park, South Africa," Land, MDPI, vol. 11(5), pages 1-28, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:12:y:2023:i:7:p:1439-:d:1197766. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.