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 内蒙古大兴安岭天然白桦生物量估算模型()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第38卷
期数:
2023年第6期
页码:
180-188
栏目:
出版日期:
2023-11-30

文章信息/Info

Title:
 Biomass Estimation Models of Natural Betula platyphylla Forests in Daxing’anling,Inner Mongolia
文章编号:
1001-7461(2023)06-0180-09
作者:
 王微1; 王冰1; 2*; 张向龙1; 张秋良1; 2; 郝帅1; 2
 （1.内蒙古农业大学 林学院，内蒙古 呼和浩特 010019；2.内蒙古大兴安岭森林生态系统国家野外科学观测研究站，内蒙古 根河 022350）
Author(s):
 WANG Wei1; WANG Bing1; 2*; ZHANG Xiang-long1; ZHANG Qiu-liang1; 2; HAO Shuai1; 2
 (1.Forestry College,Inner Mongolia Agricultural University,Hohhot 010019,Inner Mongolia,China; 2.Forest Ecosystem National Observation and Research Station of Daxing’anling,Genhe 022350,Inner Mongolia,China)
关键词:
Keywords:
分类号:
S792.153
DOI:
10.3969/j.issn.1001-7461.2023.06.24
文献标志码:
A
摘要:
 构建天然白桦预估精度较高的生物量模型，为天然白桦林的生产力估测及生产经营提供科学依据。根据白桦标准木实测数据，选择与生物量分布关系密切且易于人工获取的测树因子（胸径、树高及其组合形式），采用留一交叉验证法，通过比较异速生长模型与相容性生物量模型拟合结果，筛选内蒙古大兴安岭地区天然白桦生物量的最优估算模型。基于异速生长关系建立的2种生物量模型，以胸径和树高组合形式（D2H）为自变量的二元模型优于以胸径（D）为单独预测变量的一元模型，其校正决定系数Adjusted R2介于0.846～0.953。对于相容性生物量模型，以胸径（D）为单独预测变量的一元相容性模型优于以胸径和树高组合形式（D2H）为自变量的二元相容性模型，其校正决定系数Adjusted R2介于0.752～0.961。2种不同方案建立的最优生物量模型的拟合精度均为单株总生物量和树干生物量的模型最好，树枝生物量模型最差，且除树枝外的各项生物量模型的校正决定系数Adjusted R2及其余各项评价指标（ME、RSME、MAE）均高度相似。上述2种不同方案所建立的生物量模型均能够对内蒙古大兴安岭天然白桦生物量作出较准确的预估；若考虑模型的适用性和自变量的可获取性，建议采用以胸径为自变量的一元相容性生物量模型对天然白桦生物量进行预估。
Abstract:
 The biomass model of natural Betula platyphylla forest with high prediction accuracy was constructed to provide a scientific basis for the productivity estimation and management of the forest.Based on the measured data of B.platyphylla standard wood,the forest-mensuration factors (diameter at breast height,tree height and their combinations) that are closely related to biomass distribution and easy to be obtained were selected,and the leave-one-out cross-validation method was used.By comparing the fitting results of allometric growth model and compatibility biomass model,the optimal estimation model of natural B.platyphylla biomass in Daxing’anling,Inner Mongolia was selected.Among the two biomass models based on the allometric growth relationship,the binary model with DBH and tree height (D2H) as independent variable (Adjusted R2=0.846-0.953) was better than the univariate model with DBH (D) as single independent variable.For the compatibility biomass models,the univariate compatibility model with DBH (D) as the single variable (Adjusted R2=0.752-0.961) was superior to the binary compatibility model with DBH and tree height (D2H) as the independent variable.The fitting accuracy of the optimal biomass models established by the two different schemes showed that the models of total biomass and stem biomass were the best,the branch biomass model was the worst,and the correlation coefficients Adjusted R2 and the other evaluation indicators (ME,RSME,MAE) of various biomass models were highly similar except for branches.The biomass models developed by the above two different schemes can clearly predict the biomass of natural B.platyphylla forest in the Daxing’anling of Inner Mongolia.Considering the model applicabilities and the independent variable accessibilities,a univariate compatibility biomass model with DBH as the independent variable is recommended for natural B.platyphylla biomass estimation.

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