Quantification of uncertainties introduced by data-processing procedures of sap flow measurements using the cut-tree method on a large mature tree

Motivation: Sap flow sensors are crucial instruments to understand whole-tree water use. The lack of direct calibration of the available methods on large trees and the application of several data-processing procedures may jeopardize our understanding of water uptake dynamics by increasing the uncertainties around sensor-based estimates. We directly compared the heat ratio method (HRM) sap flow measurements to water uptake measured gravimetrically using the cut-tree method on a large mature aspen tree to quantify those uncertainties for ten consecutive days. Dataset: In this dataset, we provide sap flux density (ten-minutes intervals; g.cm-2.hr-1; corrected for wounding and sapwood thermal diffusivity) obtained from four HRM sap flow sensors installed at 2.5 m high on the focus tree (20 m tall, 60 years old trembling aspen in the boreal mixedwood region of Alberta) between July 18th and August 22nd 2017. We present the code and data (weather data from neighboring weather station) used...研究背景与动机：树干液流传感器是解析整树水分利用过程的关键仪器。当前现有监测方法缺乏针对大尺寸树木的直接校准流程，且多种数据处理步骤会增大基于传感器的估算不确定性，进而削弱我们对树木水分吸收动态的认知准确性。本研究针对一株成熟大型山杨，将热比率法（Heat Ratio Method, HRM）测得的树干液流数据，与通过伐树称重法（cut-tree method）测得的水分吸收量进行对比，连续10天量化上述不确定性来源。数据集：本数据集包含2017年7月18日至8月22日期间，安装于目标树木（高度20米、树龄60年的北美颤杨，生长于加拿大阿尔伯塔省北方混交林区域）2.5米高度处的4台HRM树干液流传感器采集的液流通量密度（sap flux density）数据，采样间隔为10分钟，单位为g·cm⁻²·hr⁻¹，已针对伤口效应与边材热扩散率完成校正。本数据集同时附带研究所用代码及周边气象站获取的气象数据。