福建省毛竹林碳汇核算参数本地化与地上生物量模型构建

Localized Carbon Accounting Parameters and Aboveground Biomass Model for Phyllostachys edulis Forests in Fujian Province

  • 摘要: 为提高福建省竹林碳汇核算精度,以省内9个竹产区138株毛竹为研究对象,系统测定、验证现行方法学的地上生物量通用模型的区域适用性,并开展关键参数的本地化修正。结果表明:《温室气体自愿减排项目方法学 造林碳汇(CCER-14-001-VO1)》中的地上生物量通用模型在福建省的实用性有限,基于胸径的一元模型(模型1)存在区域性低估(平均偏差为-4.72%),而基于胸径和竹高的二元模型(模型2)因参数结构失衡导致预测完全失效(R2=0.138);实测获得了福建省毛竹地上各器官生物量分配比例(竹秆84.12%、竹枝12.11%、竹叶3.77%),构建高精度的福建省毛竹单变量异速生长模型(W地上=0.1275×D2.2219,R2=0.9613,P<0.01),结合文献确定毛竹地上部分平均含碳率(CF值)为0.5071。构建一套适配福建省竹林经营特征的碳汇核算本地化参数与模型方案,可为区域竹林碳汇的精准监测与交易提供参考。

     

    Abstract: To improve the accuracy of carbon sink accounting for bamboo forests in Fujian Province,this study systematically measured and validated the regional applicability of the aboveground biomass general models from existing methodologies,and carried out localized calibration of key parameters,using 138 Phyllostachys edulis culms collected from nine bamboo-producing areas in the province.The results showed that the general aboveground biomass models provided in the 《Methodology for Greenhouse Gas Voluntary Emission Reduction Projects:Afforestation Carbon Sinks(CCER-14-001-V01)》 have limited applicability in Fujian.The univariate model based on diameter at breast height(Model 1)exhibited a regional underestimation(mean bias:-4.72%),while the bivariate model based on DBH and height(Model 2)completely failed in prediction due to parameter structural imbalance(R2 = 0.138).The study determined the aboveground biomass allocation ratios of P.edulis in Fujian(culm:84.12%,branch:12.11%,leaf:3.77%),and developed a high-precision univariate allometric growth model for P.edulis in Fujian(Wabove=0.1275×D2.2219,R2=0.9613,P<0.01).Combined with published data,the mean carbon fraction(CF)of the aboveground part of P.edulis was determined to be 0.5071.The above findings constitute a set of localized parameters and a modeling scheme for carbon sink accounting that are tailored to the management characteristics of bamboo forests in Fujian Province,providing a scientific basis for accurate monitoring and trading of regional bamboo forest carbon sinks.

     

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