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利用超椭圆模拟年轮几何形状来捕捉针叶树的螺旋径向生长。

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

作者信息

Shi Pei-Jian, Huang Jian-Guo, Hui Cang, Grissino-Mayer Henri D, Tardif Jacques C, Zhai Li-Hong, Wang Fu-Sheng, Li Bai-Lian

机构信息

Co-Innovation Centre for Sustainable Forestry in Southern China, Bamboo Research Institute, Nanjing Forestry University Nanjing, China ; Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences Guangzhou, China.

Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences Guangzhou, China ; Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences Guangzhou, China.

出版信息

Front Plant Sci. 2015 Oct 15;6:856. doi: 10.3389/fpls.2015.00856. eCollection 2015.

Abstract

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.

摘要

在估算森林生产力和碳动态时,人们常常假定树木年轮近似圆形。然而,树木年轮极少是圆形的(即便有也极为罕见),因此可能导致对森林生产力和碳固存的低估或高估。鉴于树木年轮数据在全球变化背景下评估森林生产力和碳储存方面发挥着关键作用,数学模型能够充分反映从树木年轮得出的横截面积增量就显得尤为重要。我们使用超椭圆方程对树木年轮的几何形状进行建模,并基于理论模拟和从三种针叶树采集的六个实际横截面来检验其有效性。我们发现,超椭圆比常用的圆形能更好地描述树木年轮的几何形状。我们表明,随着时间推移,径向截面存在螺旋生长趋势,这可能与沿纵轴的螺旋纹理密切相关。在预测断面积增量方面,超椭圆通常比圆形具有更高的准确性,从而改进了对断面积的估计。超椭圆或许能更好地评估陆地森林生态系统中的森林生产力和碳储存。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7a5/4606055/4be3567ed278/fpls-06-00856-g0001.jpg

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