| 注册
首页|期刊导航|中国林副特产|吉林省森工林区形高表编制

吉林省森工林区形高表编制

王鹤智 刘奇峰 朱万才

中国林副特产Issue(6):1-6,6.
中国林副特产Issue(6):1-6,6.DOI:10.13268/j.cnki.fbsic.2023.06.001

吉林省森工林区形高表编制

Compilation of Stand Form Height Table at Jilin Forest Industry General Administration Area

王鹤智 1刘奇峰 2朱万才2

作者信息

  • 1. 国家林业和草原局林草调查规划院,北京 100714
  • 2. 黑龙江省林业科学研究所,哈尔滨 150080
  • 折叠

摘要

Abstract

In forestry,stand height models are used to predict and control the growth and yield of stands,playing a significant role in the planning and management of forest resources.Based on data from 27,884 sample plots,this study classified and formed 18 stand types.Then,eight functions were selected for model fitting,following the prin-ciple of maximizing the adjusted coefficient of determination(Ra2)and minimizing the root mean square error(RMSE),to identify the optimal models for different stand types.Through cross-validation,four indicators-total relative error(TRE),mean systematic error(MSE),mean prediction error(MPE),and mean percentage standard error(MPSE)-were used to evaluate the optimal models.Ultimately,optimal stand height models were established for the 18 stand types,with TRE and MSE within±0.1%,and MPE and MPSE below 3%and 12%,respectively.This study developed a representative stand height model system for key state-owned forest areas in Jilin Province,filling the gap in stand height modeling in this region.These models exhibited good fit with their respective sample points,demonstrating good predictive ability,and can be widely applied in forest resource planning,design,survey-ing,and continuous inventory.Furthermore,the study further validated the feasibility of fitting models using all the data and verifying models using the"knife-edge"method.This approach helps to avoid overfitting and underfitting is-sues to some extent,improving the predictive accuracy of the models.

关键词

林分形高/重点国有林区/吉林/形高模型

Key words

Stand height/Key state-owned forest areas/Jilin Province/Stand height models

分类

林学

引用本文复制引用

王鹤智,刘奇峰,朱万才..吉林省森工林区形高表编制[J].中国林副特产,2023,(6):1-6,6.

基金项目

国家重点研发项目子课题(2022YFD2201004-02). (2022YFD2201004-02)

中国林副特产

1001-6902

访问量1
|
下载量0
段落导航相关论文