基于林分动态生长模型的小班资源档案更新研究
收稿日期: 2017-12-27
修回日期: 2018-01-18
网络出版日期: 2020-09-27
Research on the Update of Sub-compartment Resources Archives Based on the Dynamic Growth Model of Forest Stands
Received date: 2017-12-27
Revised date: 2018-01-18
Online published: 2020-09-27
建立森林资源档案是森林资源管理的重要组成部分,森林资源档案必须及时进行更新和完善,体现森林资源的动态变化,分析森林资源消长变化,以便更加科学地森林经营。小班档案更新是森林资源档案更新的基础,其精度决定了森林资源档案更新的可靠性。但是在一个林业局小班数量大、树种组成复杂,归类套用生长量(率)进行计算,不仅档案更新计算工作量大,而且不能考虑各个小班的郁闭度(疏密度)、年龄等差异而计算精度得不到保证。以内蒙古大兴安岭森林为例,探讨了由密度、年龄、地位级指数控制的三元可变密度动态生长模型在小班资源档案更新中的应用。结果表明,所建立的林分动态生长模型系统能够满足不同间隔期林分蓄积、断面积、公顷株数、平均胸径和平均树高等调查因子动态更新的需要。研究结果可为小班数据更新奠定可靠基础。
霍振江 . 基于林分动态生长模型的小班资源档案更新研究[J]. 林草资源研究, 2018 , 0(1) : 141 -147 . DOI: 10.13466/j.cnki.lyzygl.2018.01.020
The establishment of the archives of forest resources is an important part of forest resource management.The archives of forest resources must be updated and perfected in time to reflect the dynamic changes of forest resources,to analyze the change in increase or decrease of forest resources and to carry out the forest management more scientifically.The update of the sub-compartment archives is the basis of the renewal of the forest resource archives.Its accuracy determines the reliability of the updating of the forest resource archives.But the number of sub-compartments in a forestry bureau is large,the composition of tree species is complex.If it is calculated on the basis of the growth rate,the workload of the archives updating and calculation is big,the difference in the canopy density and age of each sub-compartment could not be considered and the accuracy of calculation is not guaranteed.To this end,this paper takes the Daxinganling forest in Inner Mongolia as an example,The application of three variable density dynamic growth model controlled by density,age and status index in the update of small class resource archives is discussed.The result shows that the established forest dynamic growth model system can meet the needs of the dynamic update interval of different stand volume,basal area,number of trees per hectare,the average DBH and average tree height survey factors.The results can provide a reliable basis for the update of sub-compartment data.
Key words: sub-compartment; archive update; variable density; stand; growth model
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