基于CASA模型的常州市森林植被净初级生产力及碳汇估算

Estimation of Net Primary Productivity and Carbon Sink of Forest Vegetation in Changzhou City Based on CASA Model

森林植被在碳循环过程中发挥着关键作用,其碳汇分析对于城市生态系统管理有重要意义。基于多种卫星遥感数据、林地分布以及气象资料,结合CASA(Carnegie-Ames-Stanford Approach)模型,对2022年常州市森林碳汇进行模拟估算,综合分析其时空变化特征及驱动机制。结果表明:2022年常州市森林年度碳汇量总体达29.94万t,4—8月碳汇量较高;不同类型林地碳汇能力不同,乔木林碳汇能力较强,7月碳汇量最高可达80 gC/m2;气象因素对于森林碳汇具有相关影响,其中温度的影响要高于降水量。

Forest plays a crucial role in the world carbon cycle process,and the carbon sink analysis of forest is significant for urban ecosystem management.Based on various satellite remote sensing data,forest land distribution and meteorological data,using CASA(Carnegie-Ames-Stanford Approach)model,the forest carbon sink of Changzhou City in 2022 is simulated,and its variation characteristics and mechanisms are comprehensively analyzed.The results show that the overall carbon sink of forest vegetation of Changzhou City in 2022 reached 299.4 thousand tons,with a relatively high carbon sink from April to August.The carbon sink capacity of different types of forest vegetation is different,and the arbor has the strongest ability with the highest carbon sink amount reaching 80 gC/m 2 in July.Meteorological factors have a related impact on forest carbon sinks with temperature having a higher impact than precipitation.