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林业科学 ›› 2002, Vol. 38 ›› Issue (1): 122-129.doi: 10.11707/j.1001-7488.20020119

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林分生长与产量模型系统研究综述

秦建华 Stephen J.Titus Shongming Huang   

  1. 南京林业大学森林资源与环境学院,南京210037;Dept. of Renwable Resources, University of Alberta, Edmonton, Alberta, Canada, T6G 2H1;Alberta Environment Protection, Edmonton, Alberta, Canada, T5K 2M4
  • 收稿日期:2000-01-24 修回日期:1900-01-01 出版日期:2002-01-25 发布日期:2002-01-25

TEH STUDY SYNTHESIS OF STAND GROWTH AND YIELD MODEL SYSTEMS

Qin Jianhua,Stephen J.Titus,Shongming Huang   

  1. College of Forest Resources and Environment, Nanjing Forestry University Nanjing 210037;Dept. of Renwable Resources, University of Alberta, Edmonton, Alberta, Canada, T6G 2H1;Alberta Environment Protection, Edmonton, Alberta, Canada, T5K 2M4
  • Received:2000-01-24 Revised:1900-01-01 Online:2002-01-25 Published:2002-01-25

摘要:

本文阐述了影响林分生长和产量的5个因子,即立地指数、林分年龄、林分密度、生境类型和林分结构。介绍了林分水平、径级水平和单株木水平的林分生长和产量预测模型系统的一些代表性模型系统。还介绍了一些典型的生长和死亡模型。林木和林分是两级不同水平的生态系统。作者提出了建立以生态系统特性(如系统的整体性、同时性、组成成分间交叉相关性等)为基础的系统化模型。通过建立联立方程系统,用3阶段最小二乘法拟合回归参数,可望提高林分生长和产量预测模型的真实性和估测精度。

关键词: 生长和产量预测, 模型系统, 系统模型

Abstract:

In this paper, the five main factors, site index, stand age, stand density, habitat type, and stand structure, markedly influencing stand growth and yield, were described, specially about habitat type and stand structure. Some representative model systems of stand growth and yield prediction were introduced, classified as the three model systems, e.g. whole stand model systems, stand class model systems, and individual tree model systems. Some typical growth and mortality models were also introduced. Tree and stand are two different level ecosystems. Based on ecosystem attributes, such as integrality and simultaneous feature of systems, intercross correlation among components, and so on, systematizing models were proposed. The reality and precsion of stand growth and yield prediction models will be improved by establishing simultaneous equation system and by fitting its regression parameters with three-stage least-squares method.

Key words: Growth and yield prediction, Model system, Systematizing model