4.7 Article

Identifying and Mapping the Responses of Ecosystem Services to Land Use Change in Rapidly Urbanizing Regions: A Case Study in Foshan City, China

Journal

REMOTE SENSING
Volume 13, Issue 21, Pages -

Publisher

MDPI
DOI: 10.3390/rs13214374

Keywords

land-use change; nighttime light data; InVEST; urban planning and management

Funding

  1. Forestry Science and Technology Innovation Project of Guangdong [2018KJCX013, 2020KJCX006]
  2. National Natural Science Foundation of China [41801068]

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This study integrated different data and models to explore the impact of urbanization on ecosystem services, with Foshan City as a case study. Results indicated significant reductions in agricultural production and habitat quality due to rapid urbanization. Developing urban areas showed the highest spatial response index, highlighting their importance for future land management.
Rapid urbanization has degraded some important ecosystem services and threatens socioeconomic sustainability. Although many studies have focused on the effect of urbanization on ecosystem services, the effect and its threshold have not been well-identified spatially. In this study, we propose a research framework by integrating nighttime light data, the InVEST (Integrated Valuation of Environmental Service and Tradeoffs) model, and a spatial response index to characterize the response of ecosystem services to rapid urbanization. We considered Foshan City as a case study to explore the effect of rapid urbanization on ecosystem services during 2000-2018. Our results showed that rapid urbanization resulted in a 49.13% reduction in agricultural production and a 10.13% reduction in habitat quality. The spatial response index of agricultural production, habitat quality, soil retention, water yield, and carbon sequestration were 14.25%, 2.94%, 0.04%, 0.78%, and 0.07%, respectively. We found that developing urban areas had the highest spatial response index, indicating that this area was the crucial area for future land management. We consider that our research framework can help identify the key areas affected by rapid urbanization. Visualizing the spatial response index and extracting the threshold for different levels of urbanization will be conducive to sustainable urban management and planning.

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