论文部分内容阅读
以2007年北京东灵山300株野生北柴胡(Bupleurum chinense)植株形态因子和根资源量实测数据为基础,采用方差分析与模型模拟等方法对3种典型生境下北柴胡根资源量与地上植株形态因子之间关系进行了模拟研究。结果表明:①不同生境类型下,株高和叶片数平均值表现出相同的变化规律,即:林地>灌丛>草甸,而分枝数表现出相反的变化规律;②方差分析结果表明,不同生境类型下植株地上形态特征株高、叶片数和分枝数差异性显著;③所选3种模型对根资源量(Y)与株高(x1),叶片数(x2)和分枝数(x3)之间关系模拟效果排序为,广义可加模型(GAM)>广义线性模型(GLM)>多元线性模型(MLM),最优模拟结果R2可达0.90以上,且分生境模拟结果优于混合模拟结果;④实测值对最优模型检验结果表明,以95%的可靠性估计,GAM模型对北柴胡根资源量的预估精度均在75%以上。
Based on the measured data of the morphological and root resources of 300 Bupleurum chinense plants from Beijing Dongling Mountain in 2007, variance analysis and model simulation methods were used to analyze the biomass of Bupleurum chinense roots and shoots in three typical habitats, Morphological factors of the relationship between the simulation study. The results showed as follows: (1) Under different habitat types, the average variation of plant height and leaf number showed the same variation pattern, ie: woodland> shrub> meadow, while the number of branches showed the opposite variation; ②Analysis of variance showed that, The plant height, the number of leaves and the number of branches were significantly different under different habitat types. The results showed that there was significant difference in root morphology and plant height (x1), leaf number (x2) and branch number (x3), the GAM> GLM> MLM results showed that the optimal model R2 was more than 0.90, and the result of sub-Habitat simulation was superior to The result of the model test shows that with the 95% reliability estimation, the prediction accuracy of the GAM model to the resources of Bupleurum root population is more than 75%.