首页> 美国卫生研究院文献>Frontiers in Plant Science >Capturing spiral radial growth of conifers using the superellipse to model tree-ring geometric shape
【2h】

Capturing spiral radial growth of conifers using the superellipse to model tree-ring geometric shape

机译:使用超椭圆建模树环几何形状来捕获针叶树的螺旋状径向生长

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Tree-rings are often assumed to approximate a circular shape when estimating forest productivity and carbon dynamics. However, tree rings are rarely, if ever, circular, thereby possibly resulting in under- or over-estimation in forest productivity and carbon sequestration. Given the crucial role played by tree ring data in assessing forest productivity and carbon storage within a context of global change, it is particularly important that mathematical models adequately render cross-sectional area increment derived from tree rings. We modeled the geometric shape of tree rings using the superellipse equation and checked its validation based on the theoretical simulation and six actual cross sections collected from three conifers. We found that the superellipse better describes the geometric shape of tree rings than the circle commonly used. We showed that a spiral growth trend exists on the radial section over time, which might be closely related to spiral grain along the longitudinal axis. The superellipse generally had higher accuracy than the circle in predicting the basal area increment, resulting in an improved estimate for the basal area. The superellipse may allow better assessing forest productivity and carbon storage in terrestrial forest ecosystems.
机译:在估算森林生产力和碳动态时,通常假定树环近似为圆形。但是,年轮很少(如果有的话)是圆形的,因此可能导致对森林生产力和碳固存的低估或高估。考虑到年轮数据在全球变化背景下评估森林生产力和碳储量方面所起的关键作用,数学模型充分呈现来自年轮的横截面积增量尤为重要。我们使用超椭圆方程对树环的几何形状进行建模,并根据理论模拟和从三个针叶树收集的六个实际横截面检查了其有效性。我们发现,相比于常用的圆,超椭圆更好地描述了年轮的几何形状。我们发现随着时间的流逝,径向截面上存在螺旋形增长趋势,这可能与沿纵轴的螺旋形晶粒密切相关。在预测基础面积增加时,超椭圆通常具有比圆更高的精度,从而可以改善对基础面积的估计。超椭圆可能有助于更好地评估陆地森林生态系统中的森林生产力和碳储量。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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