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Estimating the parameters of a 3-D root distribution function from root observations with the trench profile method: case study with simulated and field-observed root data

机译:使用沟槽轮廓法从根部观察估计3-D根部分布函数的参数:模拟和现场观察到的根部数据的案例研究

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摘要

Root length density (RLD) is a parameter that is difficult to measure, but crucial to estimate water and nutrient uptake by plants. In this study a novel approach is presented to characterize the 3-D root length distribution by supplementing data of the 3-D distribution of root intersections with data of root length density from a limited number of soil cores. The method was evaluated in a virtual experiment using the RootTyp model and a field experiment with cauliflower (Brassica oleracea L. botrytis) and leek (Allium porrum, L.). The virtual experiment shows that total root length and root length distribution can be accurately estimated using the novel approach. Implementation of the method in a field experiment was successful for characterizing the growth of the root distribution with time both for cauliflower and leek. In contrast with the virtual experiment, total root length could not be estimated based upon root intersection measurements in the field. The novel method of combining root intersection data with root length density data from core samples is a powerful tool to supply root water uptake models with root system information.
机译:根长密度(RLD)是一个很难测量的参数,但对于估计植物对水和养分的吸收至关重要。在这项研究中,提出了一种新颖的方法来表征3-D根长分布,方法是用有限数量的土壤核心的根长密度数据补充根交点的3-D分布数据。在虚拟实验中使用RootTyp模型对该方法进行了评估,并在花椰菜(Brassica oleracea L. botrytis)和韭菜(Allium porrum,L.)的田间实验中进行了评估。虚拟实验表明,使用该新方法可以准确估算总根长和根长分布。该方法在田间试验中的实施成功地表征了花椰菜和韭菜根部分布随时间的增长。与虚拟实验相反,无法基于野外的根部相交测量来估计总根长。将根部相交数据与岩心样品的根部长度密度数据相结合的新颖方法是为根系吸水模型提供根系信息的强大工具。

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