首页> 外文期刊>Southern Journal of Applied Forestry >A Random-Parameter Height-Dbh Model for Cherrybark Oak
【24h】

A Random-Parameter Height-Dbh Model for Cherrybark Oak

机译:Cherrybark Oak的随机参数Height-Dbh模型

获取原文
获取原文并翻译 | 示例
       

摘要

A random-parameter model was used to relate total height to diameter at breast height (dbh) for cherrybark oak (Quercus pagoda Raf,), Data were obtained from 561 trees located in 50 stands occurring on bottomland hardwood sites in East Texas, near thewestern extent of the cherrybark oak natural range. Mixed-model estimation techniques were used to fit fixed-effects parameters to the height-dbh relationship for cherrybark oak, with random-effects parameters representing sample stands from which treedata were obtained. The fixed-effect parameter estimates can be used to predict average cherrybark oak height for a given dbh in the region from which the data were obtained. Because random parameters associated with stands were used in the data-fittingprocess, the models can be calibrated to fit new stands by obtaining measurements to fit appropriate random parameters for that stand. This calibration improves height predictions for individual stands while requiring less data than would the developmentof a completely new height prediction model for that stand.
机译:樱桃树皮栎(Quercus pagoda Raf,)的随机参数模型用于将总高度与胸高(dbh)处的直径相关联。数据来自位于德克萨斯州东部,西南近陆的硬木林地的50个林分中的561棵树樱桃树皮橡木的自然范围。混合模型估计技术用于使固定效果参数适合樱桃树栎的高度-dbh关系,而随机效果参数代表从中获取树数据的样本林。固定效果参数估计值可用于预测从中获取数据的区域中给定dbh的平均樱桃树皮橡木高度。由于在数据拟合过程中使用了与支架相关的随机参数,因此可以通过获取适合该支架的合适随机参数的测量值来对模型进行校准以适应新支架。该校准改进了单个机架的高度预测,同时所需的数据少于开发该机架的全新高度预测模型所需的数据。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号