Forest Volume Growth Prediction of Main Forest Types in the Three Gorges Reservoir Area

FU Tian; ZHU Jian-hua; XIAO Wen-fa; ZENG Li-xiong

Based on the optimal model of Richards, Logistic and Korf growth function, the age-volume growth models of main forest types in the Three Gorges Reservoir Area were estimated using nonlinear regression. By comparing the results of model-fitted statistics and accuracy test, the most suitable models for every forest type were determined. It shows that the Richards growth function has a strong adaptability, which is most suitable for Masson pine forest, Chinese fir forest, cypress forest, temperate pine forests, deciduous broad-leaved forest, coniferous broad-leaved mixed forest and mixed coniferous forest; while the Logistic or Richards model is applicable for evergreen broad-leaved forest. All the curves of forest types showed good fitting results. These results can provide references for stand growth prediction and forest management in this region.

1. Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China

Received Date: 2013-05-18

Abstract: Based on the optimal model of Richards, Logistic and Korf growth function, the age-volume growth models of main forest types in the Three Gorges Reservoir Area were estimated using nonlinear regression. By comparing the results of model-fitted statistics and accuracy test, the most suitable models for every forest type were determined. It shows that the Richards growth function has a strong adaptability, which is most suitable for Masson pine forest, Chinese fir forest, cypress forest, temperate pine forests, deciduous broad-leaved forest, coniferous broad-leaved mixed forest and mixed coniferous forest; while the Logistic or Richards model is applicable for evergreen broad-leaved forest. All the curves of forest types showed good fitting results. These results can provide references for stand growth prediction and forest management in this region.

HTML

Reference (16)

[1]	秦建华. 林分生长与产量模型系统研究综述[J]. 林业科学,2002,38(1):122-129
[2]	朱绍辉,钱桂芝,疏贵平. Richards生长函数在意大利杨树无性系人工林生长预测上的应用[J]. 江苏林业科技,2000,27(1):27-30
[3]	周元满,谢正生,刘新田. Richards函数在桉树无性系林分生长预测上的应用研究[J]. 西南农业大学学报:自然科学版,2005, 27(2):240-243
[4]	刘建敏. 基于小班数据库的忻城县森林优势树种组生长模型研究[J]. 广西科学,2011,18(3):294-297
[5]	Liu Z, Li F. The generalized Chapman-Richards function and application to tree and stand growth[J]. Journal of Forestry Research, 2003, 14(1):19-26
[6]	孙楠,张怡春. 林口林业局优势树种林分蓄积生长曲线表的编制[J]. 吉林林业科技,2007,36(1):27-30
[7]	程瑞梅,肖文发,李建文,等. 三峡库区森林植被分类系统初探[J]. 环境与开发, 1999,14 (2):4-8
[8]	肖文发,李建文,于长青,等. 长江三峡库区陆生动植物生态[M]. 重庆:西南师范大学出版社, 2000,5-11
[9]	曾立雄,王鹏程,肖文发,等. 三峡库区主要植被生物量与生产力分配特征[J]. 林业科学,2008, 44(8):16-22
[10]	Zeide B. Analysis of growth equations[J]. Forest Science, 1993, 39(3):594-616
[11]	马鸿,韩国涛,惠淑荣. 日本落叶松林分生长数学模型的建立[J]. 沈阳大学学报:自然科学版,1998,4(38):102-104
[12]	王璞,段劼,马履一,等. 森林生长与收获模型国内外研究进展[J]. 广东农业科学,2012,39(17):173-177
[13]	徐国祥. 统计预测与决策[M]. 上海:上海财经大学出版社,2008
[14]	王春胜,赵志刚,曾翼,等. 广西凭祥西南桦中幼林林木生长过程与造林密度的关系[J]. 林业科学研究,2013,26(2):257-262
[15]	林建华. 马尾松造林密度与林分生长效应实验[J].福建林业科技,2005,32(3):137-139
[16]	符利勇,孙华,张会儒,等. 不同郁闭度下胸高直径对杉木冠幅特征因子的影响[J]. 生态学报,2013,33(8):2434-2443

Forest Volume Growth Prediction of Main Forest Types in the Three Gorges Reservoir Area

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Proportional views