摘要
研究京津冀县域土地利用碳汇规模与分布,对增强生态系统固碳能力,构建低碳导向的国土空间体系具有重要意义。本文以京津冀地区为研究对象,利用面向对象CART决策树分类得到2010~2020年京津冀县域矢量图,并对其进行碳汇量估算,探析京津冀地区碳汇时序变化和碳汇空间格局。结果表明:河北省承德市碳汇效益最大;不同土地利用类型碳汇差异较大,一级分类中,林地、草地和水域碳汇类型是京津冀地区的主体碳汇;二级分类中,其它类型林地、旱地、盐碱地面积占比大,但碳汇效益差,可作为增汇地区进行空间优化,提升碳汇能力。
It is of great significance to study the scale and distribution of land use carbon sequestration in Beijing-Tianjin-Hebei counties to enhance the carbon sequestration capacity of ecosystems and build a low-carbon national spatial system.In this paper,the Beijing-Tianjin-Hebei region was taken as the research object,and the vector map of Beijing-Tianjin-Hebei county region from 2010 to 2020 was obtained by using object-oriented CART decision tree classification,and the carbon sink was estimated,and the temporal change,distribution and spatial pattern of carbon sink in beijing-Tianjin-Hebei region were analyzed.The results show that the total amount of carbon sequestration in the Beijing-Tianjin-Hebei region fluctuates from 2010 to 2020,but the carbon sequestration benefits of different regions vary greatly,and Chengde city of Hebei Province has the largest carbon sequestration benefits.In the first level classification,forest land,grassland and water area are the main types of carbon sinks in the Beijing-Tianjin-Hebei region.In the secondary classification,other types of forest land,dry land and saline-alkali land accounted for a large proportion of the area but had poor carbon sink efficiency,which could be used as sink increasing areas for spatial optimization to improve carbon sink capacity.The distribution of carbon sinks in the Beijing-Tianjin-Hebei urban agglomeration showed a positive spatial correlation,and the carbon sinks gathered at low values.
作者
刘梦瑜
曲彦达
杨秀峰
赵起超
张学硕
Liu Mengyu;Qu Yanda;Yang Xiufeng;Zhao Qichao;Zhang Xueshuo(North China Institute of Aerospace Engineering,Langfang 065000,China;National local joint Engineering Research Center for aerospace remote sensing information application technology,Langfang 065000,China;Hebei aerospace remote sensing information processing and application Collaborative Innovation Center,Langfang 065000,China;Hebei Aerospace Remote Sensing Information Engineering Technology Research Center,Langfang 065000,China)
出处
《皮革制作与环保科技》
2022年第14期197-200,共4页
Leather Manufacture and Environmental Technology
基金
国家重点研发计划项目(2019YFE0127300)
国防基础科研项目(JCKY2020908B001)
高分辨率对地观测系统重大专项(30-Y30F06-9003-20/22)
国家重点研发计划项目(SQ2019YFE011297)
河北省全职引进高端人才科研项目(2020HBQZYC002).
关键词
京津冀县域土地利用
面向对象CART决策树分类
碳汇估算
碳汇时序变化
碳汇空间格局
Beijing-Tianjin-Hebei county land use
object-oriented CART decision tree classification
carbon sink estimation
temporal variation of carbon sink
spatial pattern of carbon sinks