摘要
森林碳汇能力在“双碳”目标实现过程中具有关键作用,森林碳储量的多少能够反应森林的碳汇能力。为识别并提升河北省森林碳汇能力,文章对河北省森林碳储量进行估算,并对其影响因素进行分析;建立GM(1,1)灰色预测模型及支持向量回归训练模型,预测河北省森林碳储量。结果表明:(1)2016年河北省碳储量及其森林碳储量达到1996年两倍以上。(2)提升河北省森林碳储量关键应从森林管理方面入手,第一产业涉林产业总产值是一个值得关注的因素。(3)2025年其碳储量达28085.11万吨,2021—2025年年平均增长率为8.34%,森林碳储量及年平均增长率均呈现增长趋势。
Forest carbon sink capacity plays a key role in the realization of the"dual carbon"goal,and the amount of forest carbon storage can reflect the forest′s carbon sink capacity.In order to identify and improve the forest carbon sink capacity in Hebei Province,this paper estimates the forest carbon storage in Hebei Province and analyzes its influencing factors;establishes a GM(1,1)gray prediction model and a support vector regression training model to predict the forest carbon storage in Hebei Province.The results show that:(1)The carbon storage and forest carbon storage in Hebei Province in 2016 was more than twice that in 1996.(2)The key to improving forest carbon storage in Hebei Province should start from forest management.In addition,the total output value of primary industry forest-related industries is a factor worthy of attention.(3)The prediction results show that its carbon storage will reach 280.8511 million tonnes in 2025,and the average annual growth rate from 2021 to 2025 will be 8.34%.Both the forest carbon storage and the average annual growth rate show an increasing trend.
作者
董志良
贾妍婧
尚禹彤
张家俊
DONG Zhi-liang;JIA Yan-jing;SHANG Yu-tong;ZHANG Jia-jun(Hebei GEO University,Shijiazhuang 050031,China;Natural Resource Asset Capital Research Center,Hebei GEO University,Shijiazhuang 050031,China)
出处
《河北地质大学学报》
2022年第5期87-96,共10页
Journal of Hebei Geo University
基金
河北省教育厅人文社会科学研究重大课题攻关项目(ZD202219)
河北地质大学学生科技基金科研项目资助(KAG202201)
河北省高校基本科研业务费资助(KAG202201)。
关键词
河北省
森林碳储量
影响因素
灰色预测
支持向量回归
Hebei Province
forest carbon storage
influencing factors
grey prediction
support vector regression