首页> 外文期刊>Biotechnologie, Agronomie Societe et Environnement >Growth model for larch in pure and even-aged stands
【24h】

Growth model for larch in pure and even-aged stands

机译:纯林和均匀林中落叶松的生长模型

获取原文
获取原文并翻译 | 示例
       

摘要

A distance independent tree growth model has been determined for pure and even-aged larch stands (Larix sp.) growing in Walloon Region (South Belgium). This model has been built from 2578 larches (Japanese. European and Hybrid larches) in 99 stands.It enables to predict tree circumference increment from circumference, dominant height, basal area, age and site index of stands. Estimating increments of 1283 larches in 48 stands has been used to validate the model that gives unbiased estimates of theincrements (mean error = -0.002 cm with standard deviation of 0,60 cm). The mean absolute error of estimates is 0,46 cm.year~(-1). The model has also been tested to predict the increment of larches in French experimental plots having very different silvicultural treatments. The residues of these estimations depend on the stand basal area: the lesser the stand basal area, the higher the residues of the estimation. A correction factor, linked to basal area through a Bailey and Clutter curve, has been introduced to extend the validity of the model to stands with a basal area lower than 12 m~2 ha~(-1). This factor does not affect the increment estimations if the stand characteristics are close to mean value of the sample used to build the model (correction factor close to 1). The introduction in the model of competition indexes distance dependant or site qualitative variables does not significantly improve the growth model.
机译:已经确定了在Walloon地区(比利时南部)生长的纯正和年龄均匀的落叶松林(Larix sp。)的距离无关树生长模型。该模型是根据99个林分中的2578个幼虫(日本,欧洲和杂交林的幼虫)构建的。它可以根据林分的周长,优势高度,基础面积,年龄和立地指数来预测树木周长的增加。在48个林分中估算了1283个弧度的增量已用于验证该模型,该模型给出了增量的无偏估计(平均误差= -0.002 cm,标准偏差为0.60 cm)。估计的平均绝对误差为0.46 cm.year〜(-1)。还对该模型进行了测试,以预测在具有非常不同的造林方法的法国实验区中,幼虫的数量增加。这些估计的残差取决于林分基础面积:林分基础面积越小,估计的残差越高。通过贝利曲线和杂波曲线将校正因子与基础面积联系起来,以将模型的有效性扩展到基础面积小于12 m〜2 ha〜(-1)的林地。如果林分特性接近于用于构建模型的样本的平均值(校正因子接近1),则该因子不会影响增量估计。在竞争指标模型中引入距离相关变量或站点定性变量并不能显着改善增长模型。

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