Temporal and Spatial Evolution Characteristics and Driving Factors of Forest Carbon Sinks for Dual Carbon Targets——A case study of Southern Collective Forest Region
In China,one of the important regions contributing to carbon sink,the study on temporal and spatial changes of forest carbon sink and its driving factors is of great practical significance to practice the low-carbon concept and realize the goal of"double carbon".Based on the accumulative volume,natural data and socio-economic data of the southern collective forest area from 2004 to 2018,this study applied the forest accumulative volume expansion method,arcgis,kernel density estimation method and geographic detector to explore the spatial-temporal pattern characteristics of the carbon sink in the southern collective forest area and the explanatory force of the influencing factors.The results show that:(1)In terms of space,the southern collective forest area shows a distribution pattern of"high in the south and low in the north",and the carbon sinks of different provinces have obvious spatial differentiations.(2)In terms of time,the overall movement of the nuclear density curve from left to right indicates that the total carbon sink in the southern collective forest area has increased significantly.The downward movement of the peak value and the change of the width of the wave crest gradually from narrow to flat indicates that the gap between provinces is expanding.(3)The results of the geographic detection show that forest area,annual temperature,forestry practitioners and land use type have strong explanatory power and are the main factors affecting the carbon sink distribution of the southern collective forest area.And the effect of all interacting factors is stronger than the single factor.The conclusion is that the spatial and temporal distribution and influencing factors of carbon sink in the southern collective forest area are significantly different.Therefore,all regions should adopt appropriate methods to realize the developing path of low-carbon carbon sink.
forest carbon sinkaccumulation expansion methodkernel density estimationgeo-detector
NETL
NSTL
万方数据
