| Urban Green Infrastructure(UGI)refers to the cultivated land,green space,water area,etc.,which contain ecological elements and scenic elements in the city.Base.Exploring the temporal and spatial changes,trade-offs,and supply-demand patterns of the ecological service value of urban green infrastructure at the micro-scale is of great significance for the optimization of urban natural landscape patterns and the construction of ecological landscapes.This paper quantifies the UGI ecosystem service value in the study area in 2000,2010,and 2020 by constructing an Ecosystem Services Value(ESV)evaluation model.From a microscopic perspective(grid scale and street scale),an in-depth study was carried out on the three aspects of temporal and spatial evolution,trade-off coordination,and supply-demand balance of green infrastructure ecosystem services in the main urban area of Zhengzhou City.Finally,the minimum cumulative resistance model was used to construct a scientific The main conclusions of the dual-scenario landscape pattern optimization plan are as follows:(1)The UGI in the study area in 2000,2010,and 2020 were all surrounded and clustered.The UGI in the edge area were densely distributed,and the green patches in the central area were scattered and distributed,and the connectivity was weak.During the study period,the cultivated land area in the marginal area decreased significantly,the grassland area in the central area increased significantly,and the spatial distribution of UGI in the study area gradually balanced.The total value of UGI ecosystem services in 2000,2010 and 2020 was 4.849 billion yuan,3.766 billion yuan and 2.525 billion yuan respectively,showing a downward trend year by year.(2)UGI ecosystem service value per unit area of the study area presents a distribution pattern of high in the north and low in the south,decreasing from the periphery to the center.At street scale,UGI ecological service value per unit area decreased in northern and marginal areas,while increased in southwest and central areas.From 2000 to 2010,most of the northern streets showed positive growth.From2010 to 2020,most of the southern streets showed a positive growth trend.At the grid scale,hotspot patch area was gradually reduced,cold patch connectivity was damaged,and UGI ecosystem service value in the study area was gradually equalized.(3)The overall distribution pattern of UGI ecosystem service value per unit area in the study area is high in the north and low in the south,and decreasing around the center.At the street scale: during the study period,the UGI ecological service value per unit area in the northern and peripheral areas decreased,while the southwest and central areas increased;from 2000 to 2010,the northern streets mostly showed positive growth;from 2010 to 2020,the southern Most of the streets show a positive growth trend.At the grid scale: with the passage of time,the area of hot spots decreases,the connectivity of cold spots is destroyed,and the service value of UGI ecosystem in the study area is gradually equalized.(4)The ecosystem services in the study area are in a state of serious supply and demand imbalance as a whole,and the imbalance between supply and demand of ecosystem services at grid scale is slower than that at street scale.In terms of spatial form,the matching types of "low supply-high demand" are mainly distributed in the old urban areas,and those of "high supply-low demand" are mainly distributed in the outer suburbs of the city;the "low supply-high demand" research unit at the grid scale The distribution range is obviously restricted by the urban road grid bureau.(5)Based on the least cumulative resistance model,two landscape pattern optimization networks were constructed: the baseline scenario(Business As Usual,BAU)and the ecosystem service demand-tradeoff scenario(Demand-Tradeoff Scenarios,DTS): The BAU network contains 20 ecological sources The DTS network includes 1 ecological demand patch,20 ecological sources,41 ecological corridors and 30 ecological nodes. |
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