Random forests as a tool for analyzing partial drought stress based on CO<inf>2</inf>concentrations in the rootzone of longan trees
This study aims at establishing a relationship between water supply and CO2concentration in the rootzone, and to identify disturbing factors using data-driven modelling. In our previous study, 10 longan trees were planted in split-root technique and kept under controlled conditions. During six month...
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th-cmuir.6653943832-581592018-09-05T04:20:34Z Random forests as a tool for analyzing partial drought stress based on CO<inf>2</inf>concentrations in the rootzone of longan trees Shinji Fukuda Wolfram Spreer Winai Wiriya-Alongkorn Klaus Spohrer Eriko Yasunaga Chantalak Tiyayon Agricultural and Biological Sciences This study aims at establishing a relationship between water supply and CO2concentration in the rootzone, and to identify disturbing factors using data-driven modelling. In our previous study, 10 longan trees were planted in split-root technique and kept under controlled conditions. During six months, 5 trees were partially irrigated on one side of the root system, while the other side was kept non-irrigated. The sides were switched in a two-week interval. Five control trees received full irrigation on both sides. Monitoring results on CO2concentration in the rootzone, soil moisture and stomatal conductance indicated a weak correlation between the CO2concentration in the rootzone and the soil moisture, but without a statistically significant correlation, partially because air temperature was a main disturbing factor. In this study, Random Forests was applied to establish a CO2-water stress relationship based on air temperature, relative humidity, vapour pressure deficit and soil moisture. It was shown that the most important factor on CO2concentration in the rootzone was soil moisture, followed by air temperature. Together with the information retrieved, the results suggest a potential of CO2monitoring in the rootzone for assessing plant water status continuously and with a minimum level of invasion. 2018-09-05T04:20:34Z 2018-09-05T04:20:34Z 2018-01-01 Journal 18830986 1880554X 2-s2.0-85045836000 10.2525/ecb.56.25 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85045836000&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58159 |
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Agricultural and Biological Sciences Shinji Fukuda Wolfram Spreer Winai Wiriya-Alongkorn Klaus Spohrer Eriko Yasunaga Chantalak Tiyayon Random forests as a tool for analyzing partial drought stress based on CO<inf>2</inf>concentrations in the rootzone of longan trees |
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This study aims at establishing a relationship between water supply and CO2concentration in the rootzone, and to identify disturbing factors using data-driven modelling. In our previous study, 10 longan trees were planted in split-root technique and kept under controlled conditions. During six months, 5 trees were partially irrigated on one side of the root system, while the other side was kept non-irrigated. The sides were switched in a two-week interval. Five control trees received full irrigation on both sides. Monitoring results on CO2concentration in the rootzone, soil moisture and stomatal conductance indicated a weak correlation between the CO2concentration in the rootzone and the soil moisture, but without a statistically significant correlation, partially because air temperature was a main disturbing factor. In this study, Random Forests was applied to establish a CO2-water stress relationship based on air temperature, relative humidity, vapour pressure deficit and soil moisture. It was shown that the most important factor on CO2concentration in the rootzone was soil moisture, followed by air temperature. Together with the information retrieved, the results suggest a potential of CO2monitoring in the rootzone for assessing plant water status continuously and with a minimum level of invasion. |
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author |
Shinji Fukuda Wolfram Spreer Winai Wiriya-Alongkorn Klaus Spohrer Eriko Yasunaga Chantalak Tiyayon |
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Shinji Fukuda Wolfram Spreer Winai Wiriya-Alongkorn Klaus Spohrer Eriko Yasunaga Chantalak Tiyayon |
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Shinji Fukuda |
title |
Random forests as a tool for analyzing partial drought stress based on CO<inf>2</inf>concentrations in the rootzone of longan trees |
title_short |
Random forests as a tool for analyzing partial drought stress based on CO<inf>2</inf>concentrations in the rootzone of longan trees |
title_full |
Random forests as a tool for analyzing partial drought stress based on CO<inf>2</inf>concentrations in the rootzone of longan trees |
title_fullStr |
Random forests as a tool for analyzing partial drought stress based on CO<inf>2</inf>concentrations in the rootzone of longan trees |
title_full_unstemmed |
Random forests as a tool for analyzing partial drought stress based on CO<inf>2</inf>concentrations in the rootzone of longan trees |
title_sort |
random forests as a tool for analyzing partial drought stress based on co<inf>2</inf>concentrations in the rootzone of longan trees |
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2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85045836000&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58159 |
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