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面向非煤矿山废弃地生态修复标准体系的树种生物质碳储量研究 被引量:1

Comparative Study on Biomass Carbon Storage of Suitable Tree Species for Non-coal Mine Wasteland Ecological Restoration Standards System
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摘要 本文依据《小规模非煤矿区生态修复项目方法学》,参考国内生态修复领域行业标准,采用生物量扩展因子法,对辽宁省非煤矿山废弃地生态修复项目常用的8个林木树种的生物质碳储量进行比较研究,同时构建非煤矿山废弃地生态修复标准体系,为科学开展非煤矿山废弃地生态修复,有效增加森林碳汇能力选择优势树种提供参考依据。文章基于统计学原理,应用统计分析软件拟合8个树种年龄和材积(生物量)的关系,选出每个树种单株材积(生物量)模型,推算出20年和35年后的树种单株生物质碳储量。研究结果显示,8个树种中,单株生物质碳储量最大的是刺槐,20年时为0.2176t/株,最小的是侧柏,20年时为0.0065t/株。排序结果为:刺槐>落叶松>樟子松>榆树>山杨>红松>油松>侧柏。35年预测的树种单株生物质碳储量排序与20年的趋势一致。 Based on"Small-scale Non-coal Mine Area Ecological Rehabilitation Project Methodology",this paper refers to Chinese sectoral standards on ecological restoration,and uses the biomass expansion factor method to compare the biomass carbon storage of 8 forest tree species commonly used in non-coal mine wasteland ecological remediation projects in Liaoning Province.At the same time,it establishes the ecological restoration standards system of non-coal mine wasteland,providing a reference for scientifically carrying out ecological restoration of wasteland in non-coal mine mountains and effectively increasing forest carbon sink capacity to select dominant tree species.Based on the principles of statistics,the article uses statistical analysis software to fit the relationship between the age and volume(biomass)of 8tree species,selects the volume(biomass)model of each tree species,and calculates the biomass carbon storage of one tree species 20 and 35 years later.The results of the study showed that among the eight tree species,robinia pseudoacacia had the largest biomass carbon storage per plant,which was 0.2176t/plant in 20 years,and the smallest was platycladus orientalis,which was 0.0065t/plant in 20 years.The ranking result is:robinia pseudoacacia>larch>mongolica>elm>populus albus>Korean pine>Chinese pine>thuja arborvitae.The ranking of the biomass carbon storage per tree species predicted in 35 years is consistent with the trend in 20 years.
作者 李颜平 甘克勤 LI Yan-ping;GAN Ke-qin(School of Statistics and Data Science,Nankai University;China National Institute of Standardization)
出处 《标准科学》 2022年第3期31-36,共6页 Standard Science
关键词 统计模型 标准体系 非煤矿山废弃地 生态修复 碳汇 树种 材积 生物质碳储量 辽宁省 statistical model standards system non-coal mine wasteland ecological restoration carbon sink tree species volume carbon storage Liaoning Province
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