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作 者:Jiaxing Guo Peng Wang Yuting Wang Huadong Xu
机构地区:[1]College of Engineering and Technology,Northeast Forestry University,Harbin 150040,People’s Republic of China [2]Forest Science Research Institute of Tibet Municipality,Lhasa 850000,People’s Republic of China
出 处:《Journal of Forestry Research》2023年第5期1503-1510,共8页林业研究(英文版)
基 金:supported by the National Natural Science Foundation of China (Grant No.31870537);Innovation Foundation for Doctoral Program of Forestry Engineering of Northeast Forestry University (Grant No.LYGC202115);National Key Research and Development Program of China (Grant No.2021YFD2201205)。
摘 要:Accurate decay detection and health assessment of trees at low temperatures is an important issue for forest management and ecology in cold areas.Low temperature ice formation on tree health assessment is unknown.Because electric resistance tomography and stress wave tomography are two widely used methods for the detection of tree decay,this study investigated the effect of ice content on trunk electrical resistance and stress wave velocity to improve tree health assessment accuracy.Moisture content,trunk electrical resistance and stress wave velocity using time domain reflectometry were carried out on Larix gmelinii and Populus simonii.Ice content is based on moisture content data.The ice content of both species showed a trend of increasing and then decreasing.This was opposite with ambient temperatures.With the decrease of temperatures,daily average ice content increased,but the range narrowed gradually and both electrical resistance and stress wave velocity increased.Both increased rapidly near 0℃,mainly caused by ice formation(phase change and freezing of free water)in live trees.In addition,both are positively correlated with ice content.The results suggest that ice content should be considered for improving the accuracy of tree decay detection and health evaluation using electric resistance tomography and stress wave velocity methods under low temperatures.
关 键 词:Cross-section electrical resistance Cross-section stress wave velocity Ambient temperatures Ice content Wood decay detection Tree heath
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