Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Ecosystem Service Optimisation in the Central Plains Urban Agglomeration Based on Land Use Structure Adjustment

Version 1 : Received: 19 June 2023 / Approved: 20 June 2023 / Online: 20 June 2023 (08:11:13 CEST)

A peer-reviewed article of this Preprint also exists.

Liu, M.; Fan, J.; Li, Y.; Mao, Q. Ecosystem Service Optimisation in the Central Plains Urban Agglomeration Based on Land Use Structure Adjustment. Land 2023, 12, 1430. Liu, M.; Fan, J.; Li, Y.; Mao, Q. Ecosystem Service Optimisation in the Central Plains Urban Agglomeration Based on Land Use Structure Adjustment. Land 2023, 12, 1430.

Abstract

Based on multi-source remote sensing data, scenario analysis, and model simulation, the Pareto optimal solutions for water supply, water purification (N retention), and carbon storage and sequestration services under different scenarios were sought by adjusting its land use structure. The results showed that. In Scenario 1(S1), the water supply service needs to increase by 86.820 to 11.211 billion cubic metres, the water purification (N retention) service needs to decrease by 11,400 to 11,700 tons, and the carbon storage and sequestration service need to decrease by 2.070 to 2.487 billion tons. In Scenario 2(S2), the water supply service needs to increase by 8.243–10.666 billion cubic metres, the water purification (N retention) service needs to decrease by 11,300–1.10 million tons, and the carbon storage and sequestration service needs to decrease by 2.033 to 2.466 billion tons. In Scenario 3 (S3), the water supply service needs to increase by 7.832–11.437 billion cubic metres, the water purification (N retention) service needs to decrease by 1.16–10,800 tons, and the carbon storage and sequestration service needs to decrease by 19.220 to 2.380 billion tons. After land use optimisation and adjustment, the S3 ecological land structure is complete and consistent with the vision of ecological protection and urban development in the study area, which is the optimal scenario. After optimising the S3 ecosystem service supply pattern, the water supply, water purification (N retention), and carbon storage and sequestration services could connect the western and eastern ecosystem service supply areas, balance the overall ecosystem service supply pattern of the study area and meet the demand for ecosystem services. The results can guide regional land planning and ecosystem service management optimisation.

Keywords

ecosystem services; optimisation; InVEST model; NSGA II; Central Plains Urban Agglomeration

Subject

Environmental and Earth Sciences, Ecology

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