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林业资源管理 ›› 2018, Vol. 0 ›› Issue (5): 35-41.doi: 10.13466/j.cnki.lyzygl.2018.05.007

• 科学研究 • 上一篇    下一篇

我国主要树种二元立木材积表的检验

曾伟生()   

  1. 国家林业局调查规划设计院,北京 100714
  • 收稿日期:2018-08-31 修回日期:2018-09-12 出版日期:2018-10-28 发布日期:2020-09-24
  • 作者简介:曾伟生(1966-),男,湖南涟源人,教授级高工,博士,主要从事森林资源清查与林业数表研制工作。Email: zengweisheng0928@126.com
  • 基金资助:
    国家自然科学基金(31570628)

Validation of Two-Variable Tree Volume Tables for Main Tree Species in China

ZENG Weisheng()   

  1. Academy of Forest Inventory and Planning,SFA,Beijing 100714,China
  • Received:2018-08-31 Revised:2018-09-12 Online:2018-10-28 Published:2020-09-24

摘要:

我国现行的二元立木材积表行业标准已经颁布实施了整整40年,它们是否还适用于目前的森林资源状况,已经成为日益关注的问题。基于近年来采集的16个树种(组)41个建模总体范围的5 055株样木的立木材积实测数据,利用统计检验和误差检验方法,对相应部颁标准的43个二元立木材积表进行了适用性检验。结果表明:43个材积表中目前仍然适用或基本适用的材积表不到10个,其它材积表均超出了规定的±3%的误差限;大约一半的材积表超出了±5%的误差限,少量的材积表其估计误差已经达到了10%以上。利用检验样本建立的41个相容性二元立木材积模型,有23个达到了预定的精度要求,只有5个材积模型的平均预估误差超过了5%,完全可供实践中参考使用。建议对现行的二元立木材积表进行更新、修订和补充,逐步完善我国的立木材积计量体系。

关键词: 材积表, 预估误差, 有偏估计, 检验

Abstract:

The ministerial standard of two-variable tree volume tables has been applied for a total of 40 years.Whether or not the volume tables are still suitable for current status of forest resources has become a growing concern.Based on the recently collected individual tree volume data of 5 055 sample trees for 16 tree species or groups involving 41 modeling populations,the corresponding 43 two-variable tree volume tables in the ministerial standard were validated using statistical test and error test methods.The results showed that only less than 10 of 43 volume tables were still suitable or almost suitable for volume estimation nowadays,the other volume tables had prediction errors exceeding the allowance of ±3%,and about half of all volume tables had prediction errors exceeding ±5%,and a few of them even more than 10%.Based on the data of validation sample trees,41 compatible two-variable tree volume models were developed,of which 23 models have achieved the required precision,and only 5 models had prediction errors more than 5%,indicating that the developed volume models might be used in practice.It is suggested to update,revise and supplement the current two-variable tree volume tables,and gradually improve the tree volume accounting system of China.

Key words: volume table, prediction error, biased estimation, validation

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