首页> 美国卫生研究院文献>other >Pitfalls in Root Trait Calculations: How Ignoring Diameter Heterogeneity Can Lead to Overestimation of Functional Traits
【2h】

Pitfalls in Root Trait Calculations: How Ignoring Diameter Heterogeneity Can Lead to Overestimation of Functional Traits

机译:根性状计算中的陷阱:如何忽略直径异质性会导致对功能性状的高估

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

Specific root length (SRL) and root tissue density (RTD) are ecologically functional traits which are calculated from root length or volume and root dry weight. Both can be converted into each other using the root diameter assuming roots are cylindrical. The calculation of volume from length or length from volume is, however, problematic because samples of roots do usually not have a constant diameter. Ignorance of the diameter heterogeneity leads to an overestimation of length and an underestimation of volume if standard formulas are used. Here I show for two datasets that SRL and RTD are overestimated on average 67% for the two analyzed datasets, but up to 150%, if calculated from each other. I further highlight that the volume values for the total sample as provided by the commonly used software WinRHIZOTM should only be used for objects with constant diameter. I recommend to use volume values provided for each diameter class of a sample if WinRHIZOTM is used. If manual methods, like the line-intersect method, are used, roots should be separated into diameter classes before length measurements if the volume is calculated from length. Trait to trait conversions for whole samples are not recommended.
机译:比根长(SRL)和根组织密度(RTD)是生态功能性状,可通过根长或根长和根干重计算得出。假设根是圆柱形,则可以使用根直径将两者相互转换。但是,根据长度计算体积或根据体积计算长度是有问题的,因为根样品通常没有恒定的直径。如果使用标准公式,则对直径异质性的无知会导致长度的高估和体积的低估。在这里,我显示了两个数据集,两个被分析的数据集的SRL和RTD平均被高估了67%,但如果相互计算得出的话,则被高估了150%。我进一步强调指出,常用软件WinRHIZO TM 提供的总样品的体积值应仅用于直径恒定的对象。如果使用WinRHIZO TM ,我建议使用为每种直径类别的样品提供的体积值。如果使用手动方法(如线相交方法),则如果根据长度计算体积,则在进行长度测量之前,应将根分成直径类别。不建议对整个样本进行性状到性状的转换。

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