2017
DOI: 10.1134/s1067413617020072
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Rapid thermal method for early diagnosis of the physiological state of Scots pine trees

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Cited by 4 publications
(3 citation statements)
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“…The parameters of bioelectric potentials (bioelectric potential, moisture of needles and shoots, speed of water flow, osmotic potential, impedance of the cambial complex of tissues, stem temperature) can be meaningful indicators for determining the degree of stability of trees in a plantation. Using these traits even allows an early diagnosis of trees regarding their stability and productivity [128,129].…”
Section: Selection Of Trees Resistant To H Annosummentioning
confidence: 99%
“…The parameters of bioelectric potentials (bioelectric potential, moisture of needles and shoots, speed of water flow, osmotic potential, impedance of the cambial complex of tissues, stem temperature) can be meaningful indicators for determining the degree of stability of trees in a plantation. Using these traits even allows an early diagnosis of trees regarding their stability and productivity [128,129].…”
Section: Selection Of Trees Resistant To H Annosummentioning
confidence: 99%
“…Only temperatures exceeding 47 °C appear to be fatal in the wild, but such temperatures only stay for a few hours and the bark beetles survive this without loss. Karasev et al (2017) used semiconductor thermoresistors to detect trends in stem temperatures of Scots pine in different groups based on the physiological state of trees. The temperature was found to have a strong inverse correlation with the state of the trees, confirming that the method of assessing physiological state using temperature parameters allows early diagnosis of decreased viability of conifers.…”
Section: Differences Between Healthy and Barkbeetle Infested Treesmentioning
confidence: 99%
“…They are trying to use the electrical response of plants to changes in the environment to determine optimal growing conditions, increase plant productivity, and study reactions to external stimuli. Compared to labor-intensive methods for assessing the condition of plants based on morphological characteristics, which give a 50% error, monitoring the electrical activity of plants seems to be more accurate, efficient and effective [4]. Implemented in automated systems, such monitoring simplifies the solution of problems of operational diagnostics, warning and forecasting [5].…”
Section: Introductionmentioning
confidence: 99%