南京林业大学学报（自然科学版）2017，Vol.41Issue(2)：111-116,6.DOI:10.3969/j.issn.1000-2006.2017.02.016
基于固定样地连续监测数据的林木蓄积生长率月际分布
Monthly distribution of tree volume growth rate based on continuous monitoring data of fixed sample plots
摘要
Abstract
[Objective]In the wake of the shorting cycle and the reducing area of the forest resources monitoring, the precision monitoring became inevitable and the error control became the focus of the forest resources monitoring. [Meth?od]In this study, we used continuous monitoring results of fixed sample plots from 2004 to 2015 in Zhejiang Province as key data sources. These data were classified into 12 study groups based on four types of tree species ( pine, Taxodium, hard and soft broad?leaved tree species ) and three diameter at breast height ( DBH ) classes ( small, medium and large) . Furthermore, an entire year was classified into eight growth months ( April, May, June, July, August, Septem?ber, October and November to March of the following year) . The monthly and annual volume growth rates of each group in each growth month were obtained by sampling estimation of the monthly growth rates of the 12 study groups. Based on these data, the monthly growth rate fluctuation curve of each group was analyzed. [Result]The analysis indicated that the monthly volume growth rate fluctuation curve was different for the various tree species. In the main growth season, the ratio of the highest to lowest monthly growth rate was between 2.0 and 2.2. Two growth peaks with different appearance time and height were identified for the pine, Taxodium and soft broad?leaved tree species, whereas the hard broad?leaved tree species showed only one peak. However, when the DBH increased, the volume growth rate decreased significantly. The growth rate of trees with medium DBH was 77%-88% that of trees with small DBH. The growth rate of trees with large DBH was 64%-90% that of trees with medium DBH, and 56%-77% that of trees with small DBH.[Conclusion] There were large differences existing in the monthly volume growth rates of Zhejiang Province. Therefore the time error correction and the origin error correction were necessary in short cycle investigation of forest resources. It was appropriate to choose June, July or August as the correction month of time error. Based on this, the regulative coefficient of natural forest is 0.9086, and the regulative coefficient of man?made forest is 1.0914 in Zhejiang Province.关键词
蓄积生长率/月际分布/时间误差/固定样地/森林资源监测/浙江省Key words
volume growth rate/monthly distribution/time error/fixed sample plots/forest resources monitoring/Zhe⁃jiang Province分类
农业科技引用本文复制引用
陶吉兴,王文武,徐达,张国江,季碧勇,吴伟志,谭莹..基于固定样地连续监测数据的林木蓄积生长率月际分布[J].南京林业大学学报（自然科学版）,2017,41(2):111-116,6.基金项目
国家林业局"全国森林资源年度监测试点"项目(资调函[2014]53号) （资调函[2014]53号）
