...
首页> 外文期刊>Scandinavian Journal of Forest Research >Models for prediction of basal area mean diameter and number of trees forforest stands in south-eastern Norway
【24h】

Models for prediction of basal area mean diameter and number of trees forforest stands in south-eastern Norway

机译:挪威东南部林区林地平均面积和树木数量的预测模型

获取原文
获取原文并翻译 | 示例
           

摘要

Basal area mean diameter and number of trees ha are important stand variables for projections made with large-scale forestry scenario models in Norway, The aim of this work was to develop models for an initial description of these variables. Multiplicative models. adapted to available variables from different types of inventories (relascope. photo and visual inventories) were developed, R-2 ranged from 0.85-0.87 in models where mean height by basal area was available to 0.62-0.68 without this variable. Validations provided few statistically significant differences between predicted and observed values, while the standard deviations for the differences were relatively large (7-43%). There are numerous sources of uncertainty in large-scale forestry analyses, but the developed models will probably produce a satisfactory standard of accuracy at an aggregated level. However, the large standard deviations, and large consequential losses in terms of net present value applying the models, indicate that one should avoid relying solely on the models with respect to decisions at stand level.
机译:基本面积平均直径和树木数量ha是挪威使用大型林业情景模型所做的预测的重要林分变量。这项工作的目的是开发模型以初步描述这些变量。乘法模型。根据不同类型的清单(相对清单,照片和视觉清单)的可用变量进行了开发,R-2的模型范围为0.85-0.87(无底面积的平均身高为0.62-0.68)。验证几乎没有提供预测值和观察值之间的统计学显着性差异,而差异的标准差相对较大(7-43%)。大规模林业分析中有许多不确定性来源,但是开发的模型可能会在总体水平上产生令人满意的精度标准。但是,采用模型的净现值方面存在较大的标准偏差和较大的后续损失,这表明在展位一级的决策中,应避免仅依赖于模型。

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