文献类型：期刊文献

中文题名：三峡库区主要森林类型的林分蓄积生长预测

英文题名：Forest Volume Growth Prediction of Main Forest Types in the Three Gorges Reservoir Area

作者：付甜[1] 朱建华[1] 肖文发[1] 曾立雄[1]

第一作者：付甜

机构：[1]中国林业科学研究院森林生态环境与保护研究所

年份：2014

卷号：27

期号：3

起止页码：429-434

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：国家林业局948引进项目"林业碳收支模型CBM-CFS3引进(2012-4-78);十二五科技支撑项目"长江流域防护林体系整体优化与调控技术研究"(2011BAD38B04)

语种：中文

中文关键词：三峡库区;生长函数;Richards;Logistic;Korf

外文关键词：Three Gorges Reservoir; growth function; Richards; Logistic; Korf

分类号：S758.4

摘要：利用林分生长收获模型预测林分生长收获量是森林经营和管理的重要手段。早在200年前欧洲学者就编制了林分产量表，根据林分年龄预测林分产量。20世纪70年代随着计算机的普及，科学家们开始研究林分生长和产量预测模型系统，80年代后趋于成熟。
Based on the optimal model of Richards, Logistic and Korf growth function, the age-volume growth mod- els 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.