Ecological compensation is a crucial policy instrument that realigns the benefits of stakeholders to the ecosystem service provision. However, the spatial disconnections between locations where ecosystem services produced and used are common. The supply and demand for ecosystem services are calculated to reflect the status of the districts or counties based on ecosystem service flows. The replacement cost methods provide necessary technical supports for the calculation of compensation funds. The realigning of compensation funds between service-benefiting areas and service-providing areas not only identifies the beneficiaries and suppliers but also realizes the connection between them, which may be a feasible methodology. Fuzhou City is the study area, and two ecosystem services of water conservation and soil retention were taken into consideration. The prioritized development zone, Linchuan, and the key agricultural production zones paid ecological compensation funds. Linchuan paid the highest, 5.76 billion yuan. The key ecological function zones and the key agricultural production zones received the ecological compensation funds, of which Yihuang obtained the highest, 1.66 billion yuan. The realigning of compensation funds between the service benefiting and providing areas addresses the trade-offs between ecosystem services, social development, and ecosystem protection. Embedding the ecosystem service flows into the ecological compensation mechanism can most truly realize the value of ecosystem services, achieve the “beneficiary pays” principle, and be conducive to regional sustainable development.
Using Ecosystem Service Flows to Inform Ecological Compensation: Theory & Application
Xiaolong Gao,Binbin Huang,Ying Hou,Weihua Xu,Hua Zheng,Dongchun Ma,Z. Ouyang
Published 2020 in International Journal of Environmental Research and Public Health
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- Publication year
2020
- Venue
International Journal of Environmental Research and Public Health
- Publication date
2020-05-01
- Fields of study
Medicine, Business, Economics, Environmental Science
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Semantic Scholar, PubMed
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