...
首页> 外文期刊>Biomass & bioenergy >Evaluation of predictive models for Douglas-fir bark thickness at breast height following 12 biomass harvest treatments
【24h】

Evaluation of predictive models for Douglas-fir bark thickness at breast height following 12 biomass harvest treatments

机译:12种生物量收获处理后胸高花旗松树皮厚度预测模型的评估

获取原文
获取原文并翻译 | 示例

摘要

Foresters often require an estimation of bark thickness from a reference height (typically breast height) to accurately estimate the bark or wood volume of a tree. Various models for estimating the bark thickness of interior Douglas-fir (Pseudotsuga menziesii var. glauca) from measured dbh (diameter at breast height) were evaluated. Sample trees were from northern Rocky Mountain mixed conifer stands that had been subjected to four levels of experimental woody biomass harvesting. Among simple linear, nonlinear, and segmented linear mixed effects models, the segmented linear model performed best. A join point (where the linear equations are linked) for the segmentation was statistically detected at approximately 19.0 cm dbh. The join point seems to indicate the size at which juvenile Douglas-fir trees boost the production of bark tissue, perhaps as those trees express dominance over competing under-story vegetation. Woody biomass utilization level had no impact on bark thickness, indicating that the bark:dbh relationship does not depend on biomass utilization intensity. The study results enable accurate bark thickness estimation for interior Douglas-fir in this region, and suggest several silvicultural applications for juvenile Douglas-fir stand management.
机译:林业工作者通常需要根据参考高度(通常是胸高)估算树皮厚度,以准确估算树木的树皮或木材体积。评估了各种模型,这些模型可从测量的dbh(胸高直径)估算道格拉斯冷杉(Pseudotsuga menziesii var.glauca)的树皮厚度。样本树木来自落基山北部的针叶树混交林,该林分经过了四个级别的实验性木质生物量收获。在简单的线性,非线性和分段线性混合效应模型中,分段线性模型表现最佳。在大约19.0 cm dbh处统计地检测到用于分割的连接点(在其中链接了线性方程)。连接点似乎表明幼小的花旗松树增加树皮组织产量的大小,也许是因为这些树在竞争性林下植被上占主导地位。木质生物质利用水平对树皮厚度没有影响,表明树皮:dbh关系不取决于生物质利用强度。研究结果使该地区室内花旗松的树皮厚度能够准确估算,并为花旗松幼林的管理提出了几种造林应用。

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