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Impact of Land Use Change on the Spatiotemporal Evolution of Ecosystem Services in Tropical Islands: A Case Study of Hainan Island, China

Author

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  • Mingjia Yang

    (College of International Tourism and Public Administration, Hainan University, Haikou 570228, China)

  • Jiabao Luo

    (College of International Tourism and Public Administration, Hainan University, Haikou 570228, China)

  • Lirong Zhu

    (College of International Tourism and Public Administration, Hainan University, Haikou 570228, China)

  • Peng Lu

    (College of International Tourism and Public Administration, Hainan University, Haikou 570228, China)

Abstract

Land use change drives the ecosystem service value (ESV) to some extent. Investigating the impact of land use distribution patterns under different scenarios on ESV is crucial for optimizing land spatial utilization in tropical island regions. This study employs a combination of multi-objective programming (MOP) and the patch-generating land use simulation (PLUS) model to simulate and predict the spatial distribution of land use in Hainan Island for the year 2030 under three scenarios: natural development, ecological protection priority, and tourism development priority. The ESV for these scenarios is then assessed to provide insights into the sustainable economic, social, and ecological development of tropical island regions. The results indicate the following: (1) Between 2010 and 2020, forest land was the dominant land use type in Hainan Island, accounting for 63% of the total area, followed by arable land. Land use changes were characterized mainly by increases in built-up land and grass land, which increased by 497.13 km 2 and 18.87 km 2 , respectively, with decreases in other types. The largest area of land conversion was from forest land, which was predominantly converted to built-up land and arable land, measuring 259.97 km 2 and 174.49 km 2 , respectively. (2) The PLUS model was used to simulate land use changes in Hainan Island, achieving a Kappa coefficient of 0.88 and an overall accuracy of 0.94, indicating a high consistency between the simulation results and actual data. (3) The ecological protection priority scenario yielded the highest ecosystem service values (CNY 72.052 billion), while the values under other scenarios decreased compared to 2020. The natural development scenario saw a decrease of CNY 1.821 billion, and the tourism development priority scenario saw a decrease of CNY 0.595 billion. Spatially, the ecological protection priority scenario also showed the greatest increase in areas with high ecosystem service values, particularly due to an increase in forest land area, which contributed to an overall increase in the ecosystem service values of the study area. This study offers a scientific foundation and a decision-making reference for selecting priority scenarios for tourism development on Hainan Island, aimed at supporting its future sustainable development. It emphasizes the protection of forest resources, the promotion of greening initiatives, and the achievement of a balance between ecological preservation and tourism activities.

Suggested Citation

  • Mingjia Yang & Jiabao Luo & Lirong Zhu & Peng Lu, 2024. "Impact of Land Use Change on the Spatiotemporal Evolution of Ecosystem Services in Tropical Islands: A Case Study of Hainan Island, China," Land, MDPI, vol. 13(8), pages 1-18, August.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:8:p:1244-:d:1452718
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    1. Rimal, Bhagawat & Sharma, Roshan & Kunwar, Ripu & Keshtkar, Hamidreza & Stork, Nigel E. & Rijal, Sushila & Rahman, Syed Ajijur & Baral, Himlal, 2019. "Effects of land use and land cover change on ecosystem services in the Koshi River Basin, Eastern Nepal," Ecosystem Services, Elsevier, vol. 38(C), pages 1-1.
    2. Kwadwo Kyenkyehene Kusi & Abdellatif Khattabi & Nadia Mhammdi, 2023. "Analyzing the impact of land use change on ecosystem service value in the main watersheds of Morocco," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2688-2715, March.
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    2. Wei Su & Yueming Hu & Fangyan Xue & Xiaoping Fu & Hao Yang & Hui Dai & Lu Wang, 2025. "Analysis of the Spatial Distributions and Mechanisms Influencing Abandoned Farmland Based on High-Resolution Satellite Imagery," Land, MDPI, vol. 14(3), pages 1-20, February.

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