摘要
基于CASA模型、土壤呼吸经验模型,结合MODIS数据和气象数据进行NEP的计算,深入分析长春市2010~2023年植被净生态系统生产力(NEP)的时空变化特征。结果表明:2010~2023年长春市NEP均值246.93gC/m^(2)·a^(-1),呈现碳汇,根据各地的固碳能力,从大到小排布为林地>耕地>草地>城市用地>水域。变异系数均值为0.19,低波动区域占比60.7%,较低波动区占比为36.2%,数据稳定性良好。整体NEP增长斜率为1.22gC/m^(2)·a^(-1),增长速率从大到小排序为林地>城市用地>耕地>草地,水域地区的增长速率是负数,呈下降趋势。空间自相关分析得出,长春市处于“高-高”与“低-低”相互交织的状态,“高-高”聚类主要分布在九龙台东侧、榆树市西南部、德惠市中部以及双阳区南部,“低-低”聚类主要分布在农安县西南部、宽城区、南关区以及朝阳区。
This study focused on the spatial and temporal distribution characteristics of net ecosystem productivity(NEP)of vegetation in Changchun City from 2010 to 2023,and provided a reference for ecological protection.Based on the CASA model and the empirical model of soil respiration,combined with MODIS data and meteorological data,NEP was calculated to explore its temporal and spatial variation characteristics.The results showed that from 2010 to 2023,the average NEP value of Changchun City was 246.93gC/m^(2)·a^(-1),showing carbon sinks,and according to the carbon sequestration capacity of each place,the distribution was as follows:forest land>cultivated land>grassland>urban land>water.The mean coefficient of variation was 0.19,with 60.7%of the low fluctuation area and 36.2%of the low fluctuation area,indicating good data stability.The overall NEP growth slope was 1.22 gC/m^(2)·a^(-1),and the growth rate was in the order of forest land>urban land>cultivated land>grassland,and the growth rate of water area was negative,showing a downward trend.Spatial autocorrelation analysis showed that Changchun City was in a state of“high-high”and“low-low”interweaving,and the“high-high”clusters were mainly distributed in the east of Jiulongtai,the southwest of Yushu City,the central part of Dehui City,and the south of Shuangyang District;The“low-low”clustering was mainly distributed in the southwest of Nong’an County,Kuancheng District,Nanguan District and Chaoyang District.
作者
祝恺
杜崇
陈成
Zhu Kai;Du Cong;Chen Cheng(School of Hydraulic and Electric Power,University of Heilongjiang,Harbin150080,China)
出处
《吉林水利》
2025年第8期1-6,共6页
Jilin Water Resources
基金
吉林省教育厅项目“基于3S技术的白城地区土壤盐渍化时空变化研究”(JJKH20230724KJ)。
