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天然云冷杉针阔混交林立地质量评价

徐罗 亢新刚 郭韦韦 张嘉伟 陈日东 廖庆文 孔雷

北京林业大学学报2016,Vol.38Issue(5):11-22,12.
北京林业大学学报2016,Vol.38Issue(5):11-22,12.DOI:10.13332/j.1000--1522.20140126

天然云冷杉针阔混交林立地质量评价

Site quality evaluation of natural spruce-fir and broadleaf mixed stands

徐罗 1亢新刚 2郭韦韦 2张嘉伟 3陈日东 1廖庆文 1孔雷4

作者信息

  • 1. 广东生态工程职业学院生态工程系
  • 2. 北京林业大学林学院
  • 3. 国家林业局管理干部学院
  • 4. 国家林业局昆明勘察设计院
  • 折叠

摘要

Abstract

To establish a scientific, suitable and accurate site quality evaluation system of natural forest, we used 123 analytic fir trees for simulating the optimal competitive index of the natural spruce-fir and broadleaf mixed stands among 6 competitive indexes. Eligible firs from 26 clear cutting plots and analytic trees were picked out to simulate the height growth curve of dominant trees and the height growth curve of worst trees. Then the suitable site index of competition ( SIC) table was built by using the height growth curve of dominant trees and height growth curve of worst trees as guide curves. The optimal multiple regression prediction models for height growth were selected to analyze the height difference caused by competition. Then, the site quality of two site types was evaluated by using SIC. The results indicated:1 ) The optimal competition index of natural spruce-fir and broadleaf mixed stands is CI1 . Statistics of CI1 shows that different age grades have marked differences in competition. The pressure of competition decreases with aging. 2) Building competition tables with 2 m class interval, a standard age of 60 years and 7 levels of site indexes is more reasonable. 3 ) The power exponent model of two site types is most precise in three multiple regression prediction models for height growth. 4 ) Evaluation of two site types using site indexes of the competition table shows that site type 1 belongs to 17 m site index of competition, and site type 2 belongs to 15 m site index of competition. The site type 1 is superior in site quality to site type 2 .

关键词

竞争地位指数/优势木高/劣势木高/树高生长/多元回归预测模型

Key words

site index of competition/height of dominant tree/height of worst tree/height growth/multiple regression prediction model

分类

农业科技

引用本文复制引用

徐罗,亢新刚,郭韦韦,张嘉伟,陈日东,廖庆文,孔雷..天然云冷杉针阔混交林立地质量评价[J].北京林业大学学报,2016,38(5):11-22,12.

基金项目

“948”国家林业局引进项目(2013-4-66)。 (2013-4-66)

北京林业大学学报

OA北大核心CSCDCSTPCD

1000-1522

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