摘要
西伯利亚地区的主要森林优势树种有欧洲赤松(Pinus sylvestris L.)、西伯利亚落叶松(Larix sibirica Ledeb.)、凯杨德落叶松(Larix cajanderi Maye)、西伯利亚红松(Pinus sibirica Mayr)、西伯利亚云杉(Picea obovata Ldb.)、西伯利亚冷杉(Abies sibirica Ledeb.)、欧洲山杨(Populus tremula L.)、欧洲白桦(Betula pendula Roth)等。利用IIASA和俄罗斯著名学者V.A.Usol’tsev的专著等提供的森林优势树种样地实测数据和生物量实测数据,西伯利亚地区7个森林优势树种的林分平均林木区域尺度上的生物量相对生长模型已成功构建。精度分析结果表明,7个树种的树干(带皮)和地上生物量模型完全满足计算这些树种样地生物量和植被碳储量的需要;除西伯利亚红松外的其它6个树种的树枝、树叶的生物量模型可以用于样地内林木主要营养器官生物量的计算;欧洲赤松、西伯利亚红松、西伯利亚冷杉和欧洲山杨的地下生物量模型也已达到实际应用的精度要求。区域尺度上样本数对生物量模型构建的响应与局地尺度上的响应在有限样本条件下可能略有不同。
Pinus sylvestris L., Larix sibirica Ledeb., Larix cajanderi Maye, Pinus sibirica Mayr,Picea obovata Ldb.,Abies sibirica Ledeb., and Populus tremula L. widely distribute in various forests of Siberia region and are main dominant tree species in a variety of forests, e.g., pine forest,cedar forest,larch forest,spruce-fir forest, dark coniferous forest, and broad-leave forest. Using plot data of tree biomass from IIASA and V. A. Usol＇tsev＇s book and classic tree biomass model W=a×（D^2×H）~b and W=a×D^b, the relative growth models of these forest dominant tree species at the scale of Siberia region were initiated and successfully constructed,respectively. Based on comprehensive analysis of the precision index of the biomass model, R^2（correlation coefficient）,TRE（total relative error）, and MSE（mean system error）,the biomass models with the best accuracy are relative growth models of trunk with bark and aboveground biomass of these tree species. Relative growth models of branch and leaf of almost all tree species except for Siberian stone pine also meet the need of calculating tree biomass of plot. The tree species that biomass models of their roots have been successfully constructed are Scotch pine, Siberian fir, Siberian stone pine, and European aspen.
作者
邵彬
姚予龙
吴良
欧阳华
SHAO Bin;YAO Yulong;WU Liang;OUYANG Hua(Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beifing 100101,China)
出处
《资源科学》
CSSCI
CSCD
北大核心
2018年第11期2195-2201,共7页
Resources Science
基金
国家科技部科技基础调查专项(2017FY101302
2017FY101300)
国家科技部科技基础性工作专项(2007FY110300-04)
国家重点基础研究发展计划(2005CB724801)
