Exploring the Relationship between Ecosystem Services under Different Socio-Economic Driving Degrees

Tiantian Ma, Qingbai Hu, Changle Wang, Jungang Lv, Changhong Mi, Rongguang Shi (), Xiaoli Wang (), Yanying Yang and Wenhao Wu
Additional contact information
Tiantian Ma: Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300170, China
Qingbai Hu: Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300170, China
Changle Wang: Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300170, China
Jungang Lv: Procuratoral Technology and Information Research Center, Supreme People’s Procuratorate, Beijing 100041, China
Changhong Mi: Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300170, China
Rongguang Shi: Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300170, China
Xiaoli Wang: Tianjin Key Laboratory of Hazardous Waste Safety Disposal and Recycling Technology, School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China
Yanying Yang: Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300170, China
Wenhao Wu: Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300170, China

IJERPH, 2022, vol. 19, issue 23, 1-17

Abstract: The large-scale transformation of natural ecosystems to socio-economic development land types under human activities was a primary reason for the decline of regional ecosystem services. It is a key issue for regional ecosystem planning and management to reveal the relationship between ecosystem services of different land use types under different socio-economic driving degrees. However, the current related research was not in-depth. Based on the land use data of Wuhan City in 1980, 1990, 2000, 2010, and 2020, this study classified land use into three categories according to the different degrees of human activities on natural ecosystem development: the land use of a natural ecosystem (LUNE), the land use of a productive ecosystem (LUPE), and the land use of a socio-economic system (LUSE). The InVEST model was used to simulate five ecosystem services (grain yield, water yield, carbon storage, habitat quality, and water purification), and the spatio-temporal distribution and functional transformation of the three land use types were analyzed. Results showed that with the intensified urban expansion in Wuhan, the LUSE types increased to 2.7 times that of the original. However, the natural land types basically maintained a stable area, coupling with the large-scale transformation between the LUPE and LUSE types. Land use change resulted in significant spatial changes of five ecosystem services, especially carbon storage and habitat quality. The correlation analysis indicated that the five kinds of ecosystem services mainly showed a synergistic relationship, meanwhile the LUSE type denoted the most significant correlation with ecosystem services among these three category types. This study indicated that besides the protection of natural ecosystems, the LUSE type would become the key land use type in the planning and management of improving regional ecological function.

Keywords: ecosystem services; InVEST model; classified management; grey correlation degree; correlation analysis (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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