摘要
利用Logistic曲线和S曲线拟合光皮桦苗期生长过程,结果表明Logistic曲线更适合描述地径生长趋势,S曲线更适合描述苗高生长趋势,拟合的生长曲线可预测光皮桦苗木生长状况,从而指导育苗及造林决策。利用有序样本聚类分析对光皮桦日生长率进行分析,将苗木生长划分为生长前期、高峰期、盛末期、生长后期4个阶段,并根据不同阶段的生长特性提出相应的育苗措施,以培育高质量苗木。
Seedling growth of Betula luminifera H. Winld was fitted by Logistic curve and S curve, the results showed that Logistic curve was more appropriate to describe the growth of base diameter than S curve, and the growth of tree height was on the contrary. The growth could be predicted by fitting curves, and the prediction can direct decisions of nursery and forestation. Growth rate per day was analyzed with ordered sample cluster analysis. The results pointed that the seedling stage was parted into 4 samples as below： early grow period, rapid grow period, later grow period and latest grow period. Aim to improve the quality of seedlings, different nursery methods could be applied in different periods.
出处
《福建林业科技》
2009年第3期41-43,53,共4页
Journal of Fujian Forestry Science and Technology
基金
福建省林木种苗科技攻关二期项目"光皮桦西南桦遗传改良和培育技术研究"部分内容
关键词
光皮桦
苗期
生长节律
Betula luminifera H. Winkl
seedling stage
growth rhythm
