The Impact of Green Space Landscape Pattern on Carbon Sequestration at the County-level:A Case Study of the Yangtze River Delta
Green space is one of the most effective elements for carbon sequestration,but the relationship between green space pattern and carbon sequestration is rarely studied,especially from the perspective of geographical space.For the county-level units in the Yangtze River Delta,five landscape pattern indexes are selected from five dimensions to measure the morphological characteristics of green space.The geographical weighted regression model is used to reveal the spatial differentiation characteristics of the impact of green space pattern on carbon sequestration.Results show that there is significant spatial autocorrelation in the carbon sequestration in counties in the Yangtze River Delta.The geographical weighted regression model can better present the impact mechanism than that of the traditional regression model.The landscape shape index of green space contributes the most to carbon sink,and plays a role in promoting carbon sequestration in all county units,followed by the largest patch index,which is dominated by the promotion effect.The effect of edge density on carbon sequestration is two-sided,and the number of county units that promote and inhibit the effect is equal.Shannon's evenness index and patch density have the minimal contribution.In addition,the intensity of the impact of the five indexes on carbon sequestration and their promotion and inhibition shows spatial differences.The study provides some references for the optimization of green space at the county level from the perspective of helping carbon neutrality.