基于瞬态热耗散的物联网传感器在三种不同温带树种木质部液流密度测量中的校准。

IF 3.5 2区 农林科学 Q1 FORESTRY
David Dluhosch, Shahla Asgharinia, Francesco Renzi, Benjamin D Hesse, Lasse Löffelbein, Riccardo Valentini, Thorsten E E Grams, Timo Gebhardt
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引用次数: 0

摘要

测量木质部液流对于计算树木和森林的水分利用至关重要,但远程测量具有挑战性,特别是在电力供应方面。瞬态散热(TTD)系统通过高效节能和鲁棒性解决了这些挑战。本研究评估了TreeTalker©系统(版本TT+),这是一种新开发的电池供电,基于物联网的测量系统,与以前的版本相比,在结构和材料方面采用了新的探针。为了校准系统,使用由木屑制成的人工液压柱,在不同的液流密度(SFD)下,在不同的加热/冷却循环下,得出了不同的流动指数(Ki)。为了提供不同树种的校正方程,在控制条件下,使用了温带树种栎(栎,环孔栎)和冷杉(Abies alba MILL)三种不同木质部结构的新鲜切下的茎段。(杉木,针叶树)和Fagus sylvatica L.(山毛榉,扩散多孔)。线性模型最适合描述木屑和橡木的Ki与SFD之间的关系,而幂函数模型适合杉木和山毛榉。与文献相比,回归陡度随导管尺寸的增大而增大。使用橡木木屑方程导致SFD低估55±3%。对于杉木和山毛榉,使用木屑方程分别高估了149±116%和71±41%的日用水量。在所有测试介质中使用多媒体方程,与木屑方程相比,橡木的低估值降低到19±3%,但冷杉和山毛榉的高估值分别增加到352±210%和209±75%。为了更准确地估计绝对值,建议使用特定物种的校准方程来使用TTD方法评估SFD。然而,当比较不同的线性校准方程与相应的树种导管尺寸时,似乎存在依赖性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Calibration of a new transient thermal dissipation-based Internet of Things (IoT)-sensor for xylem sap flow density measurements for three different temperate tree species.

Measuring xylem sap flow is crucial for calculating water use in trees and forests, but remote measurements are challenging, especially regarding power supply. The transient thermal dissipation (TTD) system addresses these challenges by being power-efficient and robust. This study assesses the TreeTalker© system (version TT+), a newly developed battery-powered, Internet of Things (IoT)-based measurement system with new probes in terms of structure and material compared with previous versions. To calibrate the system, different flow indices (Ki) were derived for various heating/cooling cycles at several sap flow densities (SFD) using an artificial hydraulic column made of sawdust. To provide a calibration equation for different species, freshly cut stem segments with three distinct xylem structures of temperate trees were used under controlled conditions: Quercus robur L. (oak, ring-porous), Abies alba Mill. (fir, coniferous) and Fagus sylvatica L. (beech, diffuse-porous). A linear model best described the relationship between Ki and SFD for sawdust and oak, while a power function suited fir and beech. Compared with the literature, the regression steepness increased with the conduit size. Using the sawdust equation for oak resulted in a 55 ± 3% underestimation of SFD. For fir and beech, using the sawdust equation overestimated daily water use by 149 ± 116% and 71 ± 41%, respectively. A multi-media equation across all tested media reduced the underestimation in oak to 19 ± 3% but increase the overestimation for fir and beech compared with the sawdust equation to 352 ± 210% and 209 ± 75%, respectively. For more accurate estimation of absolute values, species-specific calibration equations are recommended assess SFD using the TTD method. However, there appears to be a dependency when comparing different linear calibration equations with the corresponding conduit sizes of the tree species.

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来源期刊
Tree physiology
Tree physiology 农林科学-林学
CiteScore
7.10
自引率
7.50%
发文量
133
审稿时长
1 months
期刊介绍: Tree Physiology promotes research in a framework of hierarchically organized systems, measuring insight by the ability to link adjacent layers: thus, investigated tree physiology phenomenon should seek mechanistic explanation in finer-scale phenomena as well as seek significance in larger scale phenomena (Passioura 1979). A phenomenon not linked downscale is merely descriptive; an observation not linked upscale, might be trivial. Physiologists often refer qualitatively to processes at finer or coarser scale than the scale of their observation, and studies formally directed at three, or even two adjacent scales are rare. To emphasize the importance of relating mechanisms to coarser scale function, Tree Physiology will highlight papers doing so particularly well as feature papers.
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