基于二类调查数据的县级森林碳储量及碳密度测算——以山东省泗水县为例  

Estimations on Carbon Storage and Carbon Density of Forest Resources Based on the County Forest Management Inventory——The case of Sishui County

作　　者：崔传洋 李建华[1] 冯燕[2] 石宝冬 李雪静[1] 边存宝 CUI Chuan-yang;LI Jian-hua;FENG Yan;SHI Bao-dong;LI Xue-jing;BIAN Cun-bao(College of Forestry/Shandong Agricultural University, Tai’an 271018, China;Sishui Forestry Bureau, Sishui 273200, China)

机构地区：[1]山东农业大学林学院,山东泰安271018 [2]泗水县林业局,山东泗水273200

出　　处：《山东农业大学学报（自然科学版）》2017年第2期279-283,共5页Journal of Shandong Agricultural University：Natural Science Edition

基　　金：中国科学院战略性先导科技专项(XDA05050203-02)

摘　　要：依据山东省泗水县2015年森林资源二类调查资料,在充分利用现有数据的基础上,运用本课题前期研究得到的7组碳含量方程,并辅以常用碳汇参数综合测算了泗水县境内的森林碳储量和碳密度。结果表明:泗水县森林总碳储量为3.3139×10~6 t,碳密度为73.93 t·hm^(-2)。泗水县总碳储量主要集中在有林地(71.85%)和疏林地(14.81%)中,二者占据了泗水县总碳储量的86.66%。不同植被类型碳储量依次为:有林地(2.3810×10~6 t)>疏林地(4.9081×10~5t)>经济林(2.6949×10~5 t)>未成林造林地(9.2892×10~4 t)>村镇树(4.6149×10~4 t)>苗圃(1.6923×10~4 t)>灌木林(1.6522×10~4t)。该研究不仅为泗水县的森林碳汇生产提供了基础数据,同时也为下一步的县级碳汇计量研究和评价提供了可供借鉴的技术方法。In this study,referring to the forest management inventory in Sishui County,Shandong Province,and seven equation sets of carbon storage as well as common carbon parameters were used to calculate the carbon storage and carbon density in Sishui County.The results showed that the total carbon storage in Sishui County was3.3139×106t;the carbon density was73.93t·hm-2.The carbon storage in Sishui County was mainly distributed in the forested land(71.85%)and the sparse forestland(14.81%),two of which accounted for almost86.66%of total carbon storage.Carbon density of different vegetation types followed the order as below:forested land(2.3810×106t)>sparse forestland(4.9081×105t)>economic fores(t2.6949×105t)>unwood land(9.2892×104t)>village tree(s4.6149×104t)>nursery land(1.6923×104t)>shrub forest(1.6522×104t).The research results not only provided an essential data to the production of forest carbon sink,but gave a technical method for further research on carbon sink calculation of the counties as well.

关 键 词：二类调查 森林 碳储量 碳密度 

分 类 号：S758.4[农业科学—森林经理学]