论文部分内容阅读
以福建省杉木人工林为研究对象,通过固定样地法对不同林龄杉木人工林根系生物量分层调查,探究不同林龄杉木林不同土层根各组分(根兜、粗根、中根、小根、细根)生物量所占全根的比例及随着林龄的变化规律。以R软件构建根各组分最优生物量模型,并通过总量和分量两级联合控制法来建立根各组分相容性模型。结果表明:杉木林根系生物量随林龄的增大而增加,不同根系组分生物量的大小排序为根兜>粗根>中根>小根>细根,其中根兜和粗根占根系生物量的80%以上,人工林粗根和中根主要分布在20~80 cm土层中。利用R软件构建的非线性相容性模型能较全面、客观地反映根各组分之间生物量的分配关系(R2>0.77,P>847,e<0.153),同时解决根各组分模型之间的不相容,提高模型的精度。
Taking the Cunninghamia lanceolata plantation in Fujian as the research object, we investigated the biomass of Cunninghamia lanceolata plantations in different ages by fixed plots, and explored the effects of different components (root pocket, coarse root, middle root , Small roots, fine roots) biomass proportion of total roots and changes with age. The optimal biomass model of each component was constructed by R software, and the compatibility model of root components was established by two-level joint control of total amount and component. The results showed that the root biomass of Cunninghamia lanceolata forest increased with age, and the order of the biomass of different root components was root pocket> coarse root> middle root> small root> fine root, in which root pocket and coarse root accounted for the root biomass More than 80%, the thick roots and middle roots of plantations mainly distributed in 20 ~ 80 cm soil layer. The non-linear consistency model constructed by R software can comprehensively and objectively reflect the biomass distribution (R2> 0.77, P> 847, e <0.153) The incompatibility between the model and improve the accuracy of the model.