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林业科学 ›› 2014, Vol. 50 ›› Issue (4): 47-54.doi: 10.11707/j.1001-7488.20140407

• 论文与研究报告 • 上一篇    下一篇

秦岭地区栓皮栎天然次生林地位指数表的编制

张瑜, 贾黎明, 郑聪慧, 张西   

  1. 北京林业大学省部共建森林培育与保护教育部重点实验室 北京 100083
  • 收稿日期:2013-08-16 修回日期:2013-11-07 出版日期:2014-04-25 发布日期:2014-05-06
  • 基金资助:

    北京市教育委员会科学研究与科研基地建设项目(SYSBL2009);国家林业局林业科技成果推广项目(2011-44);林业公益性行业科研专项经费项目(201004021)。

Establishment of a Site Index Table for Quercus variabilis Natural Secondary Stand in Qinling Mountains

Zhang Yu, Jia Liming, Zheng Conghui, Zhang Xi   

  1. Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University Beijing 100083
  • Received:2013-08-16 Revised:2013-11-07 Online:2014-04-25 Published:2014-05-06

摘要:

使用秦岭南北坡栓皮栎天然次生林的104块标准地和75株平均优势木解析木的498对树高-年龄数据,采用优势木树高生长与年龄关系的常用数学模型,编制秦岭地区栓皮栎天然次生林地位指数表,对该地区立地质量进行评价。运用ForStat 2.0和SPSS 18.0统计软件,选择12个数学模型拟合树高曲线,最终确定lgH=-0.014 6+0.743 8lgA作为导向曲线,基准年龄为35年,指数级距为2 m,运用标准差调整法导出树高值为10~20 m共6条地位指数曲线,最终形成秦岭地区栓皮栎天然次生林地位指数表。导向曲线适合性检验、树高理论值与实际值的X2检验、落点检验和树高生长量检验结果均表明:所编地位指数表精度较高,能够客观反映该地区栓皮栎天然次生林的立地质量。

关键词: 栓皮栎, 天然次生林, 地位指数表, 立地质量评价

Abstract:

This paper aims to build a site index table through mathematical models established with the relationships of age and height of the dominant individuals, so as to evaluate the site quality of the whole Qinling region. Totally 104 sample plots in a Quercus variabilis natural secondary stand on southern and northern slope in Qinling Mountains were selected, and 498 pairs of height-age relations data of 75 analytic and average dominant individuals were collected. Statistical software of ForStat 2.0 and SPSS 18.0 were used. The height-age curve model, lgH=-0.014 6 + 0.743 8lgA, was selected out of 12 mathematical models, with the reference age of 35 years and exponential distance of 2 meters. Six site index curves (10-20 m) of the Q. variabilis natural secondary stand were developed through the method of standard deviation adjustment. Eventually, the site index table for the Q. variabilis natural secondary stand was established. The table has high accuracy validated by the following four methods: correlation coefficient, X2 test, test of falling point and test of height growth increment. Thus, this method could be used on Q. variabilis natural secondary stand site evaluation in Qinling region.

Key words: Quercus variabilis, natural secondary stand, site index table, site quality evalucation

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