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兴安落叶松天然林单木高生长模型(PDF)

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2013年02期
Page:
169-172
Column:
研究简报
publishdate:
2013-03-31

Article Info:/Info

Title:
Single tree height growth models of Larix gmelinii natural forest
Author(s):
MA Liqiang1YU Bao2WANG Liming3ZHANG Qiuliang4*
1.The Research Institute of Forest Ecology, Environment and Protection, The Chinese Academy of Forestry, Beijing 100091, China;
2.State Academy of Forestry Administration, Beijing 102600, China;
3.Command College of Armed Police Forces Kinds of China, Beijing 102202, China;
4.College of Forestry, Inner Mongolia Agricultural University, Huhhot 010019, China
Keywords:
Larix gmelinii natural forest height growth model
Classification number :
S718
DOI:
10.3969/j.issn.1000-2006.2013.02.031
Document Code:
A
Abstract:
According to the 31 analyzed trees, Logistic and four-parameter Richards equations were used to fit the height growth models of the dominating stems, the average stems and the overtopped stems of natural Larix gmelinii forests. All models were highly significant at 0.01 level. Correlations among the age(A), the DBH(D), the tree height(H), the live height under branches(h1), the dead height under branches(h2)were analyzed and verified that there was a significantly positive correlation among D, H, h1 and h2 at 0.01 level. Live height under branches and dead height under branches significantly fit the model at 0.01 level. Results indicated that Logistic equation was better than the four-parameter Richards equation when fitting the growth, logistic equation was evidenced by their corresponding model determinant coefficients R2 of 0.829, 0.758, 0.807 for the dominating stem, the average stem and the overtopped stem respectively. In contrast, 0.771, 0.668, 0.824 were respectively derived by the four-parameter Richards equation. Obviously, two models were jointly well-performed when fitting the growth of the dominant trees and the overtopped trees compared to the average trees. After test, the measured values and the modeled values in terms of the growth of the dominant trees had statistically no significant difference(p>0.05), which indicated that the established models could be practical.

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Last Update: 2013-03-31