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木麻黄生长与收获模型系统的研究     被引量:1

Growth and Yield Model System for Casuarina equisetifolia

文献类型:期刊文献

中文题名:木麻黄生长与收获模型系统的研究

英文题名:Growth and Yield Model System for Casuarina equisetifolia

作者:张连金[1] 惠刚盈[2] 孙长忠[1] 何楚林[3]

第一作者:张连金

机构:[1]中国林业科学研究院华北林业实验中心;[2]中国林业科学研究院林业研究所,国家林业局林木培育重点实验室;[3]海南省林业局

年份:2014

卷号:27

期号:1

起止页码:59-65

中文期刊名:林业科学研究

外文期刊名:Forest Research

收录:CSTPCD;;Scopus;北大核心:【北大核心2011】;CSCD:【CSCD2013_2014】;

基金:国家"十二五"科技支撑计划课题(2012BAD22B03)

语种:中文

中文关键词:木麻黄;Richards方程;蓄积量模型;模型系统;结构设计

外文关键词:Casuarina equisetifolia ; Richards' equation ; volume model ; model system ; structure design

分类号:S711

摘要:利用海南文昌2005年森林资源二类调查的木麻黄工业原料林样地资料,通过参数置换法,构建了以优势高模型为基础,以断面积预估为中心,将蓄积量作为目标变量的生长与收获模型系统。结果表明:组成模型系统的各模型的拟合精度较高,各模型的预估值与观测值差异不显著,适应性较好,能对木麻黄的优势高、断面积和蓄积量生长进行正确预估,可用于研究区木麻黄工业原料林的生长与收获预估。研究方法为一次性调查数据生长模型及类似模型的研建提供了经验和借鉴,并为当前缺少长期定位观测数据和大量解析木数据的森林经营单位编制森林经营方案提供了理论基础。
Based on the forest management chang, Hainan province in 2005, the forest inventory data of Casuarina equisetifolia fast-growing plantation in Wen- growth and yield model system was established by using parameter re- placement method. The model system takes the stand dominant height model as a basis, the stand basal area fore- cast as the centre and the stand volume as target variable. The results showed that: each model in the model system had much higher precision and a good adaptability, the difference between estimated value and observed value was not significant by testing, indicating that the dominant height, basal area and volume growth of C. equisetifolia can be properly evaluated. Therefore, this model system can be put into use to estimate the growth and yield of C. equi- setifolia fast-growing plantation in the research area. The method of establishing model system can provide a refer- ence for developing growth model and other similar models based on one-time data. And it can also provide theoreti- cal basis for forest management plan of forest management units, which lack of site-specific long-term observation data and a large amount of stem analysis data at present.

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