摘要
【目的】为解决石灰岩山地淡竹生物量、特别是地下生物量测定困难的问题,在江西省瑞昌市石灰岩山地淡竹林中随机选取40株淡竹构建生物量模型。【方法】通过测定构件因子和构件生物量,分析了两者的相关性,并利用二元一次函数、一元二次函数、幂函数等模型对各构件生物量及总生物量进行建模。【结果】(1)淡竹地上及地下部分各构件生物量与胸径、地径、竹高、枝下高密切相关,其中胸径与各构件生物量相关性最为密切(P<0.01);(2)地上生物量、地下生物量和总生物量模型R2均高于0.85,叶、枝、秆和蔸的拟合模型R2均高于0.75,其次为根(R2=0.686~0.701),鞭的拟合度最低(R2=0.302~0.315);(3)经过检验,以胸径为自变量的一元二次函数模型具有良好的拟合精度,为最佳模型,其对地上生物量(R2=0.975、RMSE=0.163、AIC=-143)、地下生物量(R2=0.854、RMSE=0.048、AIC=-241)和全株总生物量(R2=0.94,RMSE=0.287、AIC=-98)均具有较好的预测效果。【结论】筛选出的模型W=aD2+bD+c,只需获取胸径数据便可以方便、快捷、准确地预测淡竹生物量,这为淡竹林生态经营以及竹林碳汇测算等研究提供了技术支撑。
[Objective]In order to solve the difficulties in measuring the biomass of Phyllostachys glauca in limestone mountains,especially the underground biomass,40 samples were randomly selected from the limestone mountains in Ruichang,Jiangxi province.[Method]After measuring the component factors and the biomass of components,the correlations between them were analyzed.The biomass of each component and the total biomass were modeled by using the equation of binary linear function,unary quadratic function and power function.[Result](1)The biomass of each Ph.glauca component was closely correlated with the diameter at the breast height(DBH),ground diameter(GD),plant height(PH)and under branch height(UBH),and the DBH was more closely correlated with the biomass of each bamboo component in general(P<0.01).(2)The above ground biomass,underground biomass and total biomass models’R2 were all above 0.85,and the models′R2 of leaf,branch,culm and bamboo stump were all over 0.75,secondly was root(R2=0.686~0.701),and the bamboo rhizome had the lowest fitting degree(R2=0.302~0.315).(3)The unary quadratic function model with DBH as independent variable had good fitness and was the best model.The above-ground biomass(R2=0.975,RMSE=0.163,AIC=-143);underground biomass(R2=0.854,RMSE=0.048,AIC=-241)and total biomass(R2=0.94,RMSE=0.287,AIC=-98)could be predicted accurately by the model.[Conclusion]The model W=aD2+bD+c selected in this study can accurately predict the total biomass and underground biomass of Ph.glauca.In practice,it is only needed to obtain the data of DBH to predict the biomass,which is very convenient and fast.This study provides a technical support for ecological management and carbon sink measurement of Ph.glauca forests.
作者
邹凯
谈丽华
巫娟
谈太腾
梁宽
王光如
施建敏
ZOU Kai;TAN Li-hua;WU Juan;TAN Tai-teng;LIANG Kuan;WANG Guang-ru;SHI Jian-min(College of Forestry,Jiangxi Agricultural University,Nanchang 330045,China;Jiangxi Provincial Key Laboratory for Bamboo Germplasm Resources and Utilization,Nanchang 330045,China;Ruichang Bureau of Forestry,Ruichang,Jiangxi 332200,China)
出处
《江西农业大学学报》
CAS
CSCD
北大核心
2020年第1期110-117,共8页
Acta Agriculturae Universitatis Jiangxiensis
基金
国家自然科学基金项目(31660198,31260174)
江西省重点研发计划项目(20161BBF60082)~~
关键词
淡竹
生物量
数学模型
胸径
一元二次函数
Phyllostachys glauca
biomass
mathematical model
DBH
unary quadratic function
