| 摘要: |
| 龙脑型阴香（Cinnamomum burmannii chvar. borneol）矮林经营中，企业和农户需预估可蒸
生物量，以便根据加工能力合理安排采收面积。研究以 3~5 年生龙脑型阴香矮林为对象，按照企业收
购标准，统一以 120 cm 为截顶高度、下部枝条全部保留的方法开展采收测定，在同一试验林中，分
别在 3.5 a 生林龄生长期为 1 a 时和 5.5 a 生林龄生长期为 2 a 时测定树高、胸径、冠幅、分枝数和可蒸
生物量 5 个性状。以线性和非线性的方法拟合单株可蒸生物量模型，用 R2、RMSE、AIC、BIC 等指
标评价并筛选出最佳模型，筛选结果是 2 a 生长期最优线性和非线性模型分别 DB=0.625H+0.076HDD，
DB=0.091HDD+0.000 017 8HDD2 ，1 a 生长期的分别是 DB=-1.646H-2.734D+4.134C+1.252HD，DB=-1.356
H+0.907H2。4 个模型在实际应用中估算的相对误差分别是 16.680%、14.107%、2.036% 和 20.543%。企业
可依模型估算可蒸生物量，合理安排采收面积。 |
| 关键词: 龙脑型阴香 可蒸生物量 预测模型 拟合 |
| DOI： |
| 投稿时间：2020-06-05修订日期：2020-07-08 |
| 基金项目:广东省林业科技创新项目(2019KJCX002,2016KJCX001),广东省林业科技创新项目(2020KJCX001),广东省科技计划项目(2015B020202001)。 |
|
| Fitting of Distillable Biomass Prediction Model for Cinnamomum burmannii chvar. borneol |
| lian Huiming,ZHANG QIAN,WANG YINLI,HE BOXIANG,CHEN JIELIAN,CHEN YIQUN,LIANG DONGCHEN |
| (Guangdong Academy of Forestry;Guangdong Academy of Forestry/Guangdong Province Key Laboratory of Silvicuture, Protection and Utilization) |
| Abstract: |
| The essence oil distillation of Cinnamomum burmannii chvar. borneol concentrates on 2-3
months in winter. When the cultivated area exceeds the enterprise distillation processing capacity, it is necessary
to consider the reasonable arrangement of harvesting area, determining the harvesting area requires accurate
estimation of the distillable biomass. In this paper, the growth index and biomass of 3-5 year stand were measured,
the optimal linear and nonlinear models for distillable biomass estimation equation were selected by regression
analysis and evaluated by R2，RMSE and AIC,BIC. The best linear and nonlinear models for 2-year growth
period are: DB=0.625H+0.076HDD and DB=0.091HDD+0.000 017 8HDD2
. The best models for a 1-year growth
period are DB=-1.646H-2.734D+4.134C+1.252HD and DB=-1.356H+0.907H2
. The relative errors in the
practical application of the four models are as follows: 16.680%,14.107%,2.036% and 20.543%. The practical
application results show that the models are accurate and effective. |
| Key words: Cinnamomum burmannii chvar. Borneol distillable biomass prediction model fitting |
