Quantifying Key Points of Hydraulic Vulnerability Curves From Drought-Rewatering Experiment Using Differential Method
Precise and accurate estimation of key hydraulic points of plants is conducive to mastering the hydraulic status of plants under drought stress. This is crucial to grasping the hydraulic status before the dieback period to predict and prevent forest mortality. We tested three key points and compared...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2021-02-01
|
| Series: | Frontiers in Plant Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2021.627403/full |
| id |
doaj-23f3a3a38adc4895849f18fa1f80ceaa |
|---|---|
| record_format |
Article |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Xiao Liu Xiao Liu Xiao Liu Ning Wang Ning Wang Ning Wang Rong Cui Rong Cui Rong Cui Huijia Song Huijia Song Huijia Song Feng Wang Feng Wang Feng Wang Xiaohan Sun Xiaohan Sun Xiaohan Sun Ning Du Ning Du Ning Du Hui Wang Hui Wang Hui Wang Renqing Wang Renqing Wang Renqing Wang |
| spellingShingle |
Xiao Liu Xiao Liu Xiao Liu Ning Wang Ning Wang Ning Wang Rong Cui Rong Cui Rong Cui Huijia Song Huijia Song Huijia Song Feng Wang Feng Wang Feng Wang Xiaohan Sun Xiaohan Sun Xiaohan Sun Ning Du Ning Du Ning Du Hui Wang Hui Wang Hui Wang Renqing Wang Renqing Wang Renqing Wang Quantifying Key Points of Hydraulic Vulnerability Curves From Drought-Rewatering Experiment Using Differential Method Frontiers in Plant Science calculated result differential method experimental result hydraulic loss of conductivity water potential |
| author_facet |
Xiao Liu Xiao Liu Xiao Liu Ning Wang Ning Wang Ning Wang Rong Cui Rong Cui Rong Cui Huijia Song Huijia Song Huijia Song Feng Wang Feng Wang Feng Wang Xiaohan Sun Xiaohan Sun Xiaohan Sun Ning Du Ning Du Ning Du Hui Wang Hui Wang Hui Wang Renqing Wang Renqing Wang Renqing Wang |
| author_sort |
Xiao Liu |
| title |
Quantifying Key Points of Hydraulic Vulnerability Curves From Drought-Rewatering Experiment Using Differential Method |
| title_short |
Quantifying Key Points of Hydraulic Vulnerability Curves From Drought-Rewatering Experiment Using Differential Method |
| title_full |
Quantifying Key Points of Hydraulic Vulnerability Curves From Drought-Rewatering Experiment Using Differential Method |
| title_fullStr |
Quantifying Key Points of Hydraulic Vulnerability Curves From Drought-Rewatering Experiment Using Differential Method |
| title_full_unstemmed |
Quantifying Key Points of Hydraulic Vulnerability Curves From Drought-Rewatering Experiment Using Differential Method |
| title_sort |
quantifying key points of hydraulic vulnerability curves from drought-rewatering experiment using differential method |
| publisher |
Frontiers Media S.A. |
| series |
Frontiers in Plant Science |
| issn |
1664-462X |
| publishDate |
2021-02-01 |
| description |
Precise and accurate estimation of key hydraulic points of plants is conducive to mastering the hydraulic status of plants under drought stress. This is crucial to grasping the hydraulic status before the dieback period to predict and prevent forest mortality. We tested three key points and compared the experimental results to the calculated results by applying two methods. Saplings (n = 180) of Robinia pseudoacacia L. were separated into nine treatments according to the duration of the drought and rewatering. We established the hydraulic vulnerability curve and measured the stem water potential and loss of conductivity to determine the key points. We then compared the differences between the calculated [differential method (DM) and traditional method (TM)] and experimental results to identify the validity of the calculation method. From the drought-rewatering experiment, the calculated results from the DM can be an accurate estimation of the experimental results, whereas the TM overestimated them. Our results defined the hydraulic status of each period of plants. By combining the experimental and calculated results, we divided the hydraulic vulnerability curve into four parts. This will generate more comprehensive and accurate methods for future research. |
| topic |
calculated result differential method experimental result hydraulic loss of conductivity water potential |
| url |
https://www.frontiersin.org/articles/10.3389/fpls.2021.627403/full |
| work_keys_str_mv |
AT xiaoliu quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT xiaoliu quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT xiaoliu quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT ningwang quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT ningwang quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT ningwang quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT rongcui quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT rongcui quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT rongcui quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT huijiasong quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT huijiasong quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT huijiasong quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT fengwang quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT fengwang quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT fengwang quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT xiaohansun quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT xiaohansun quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT xiaohansun quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT ningdu quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT ningdu quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT ningdu quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT huiwang quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT huiwang quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT huiwang quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT renqingwang quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT renqingwang quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod AT renqingwang quantifyingkeypointsofhydraulicvulnerabilitycurvesfromdroughtrewateringexperimentusingdifferentialmethod |
| _version_ |
1724304856555978752 |
| spelling |
doaj-23f3a3a38adc4895849f18fa1f80ceaa2021-02-02T04:50:13ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2021-02-011210.3389/fpls.2021.627403627403Quantifying Key Points of Hydraulic Vulnerability Curves From Drought-Rewatering Experiment Using Differential MethodXiao Liu0Xiao Liu1Xiao Liu2Ning Wang3Ning Wang4Ning Wang5Rong Cui6Rong Cui7Rong Cui8Huijia Song9Huijia Song10Huijia Song11Feng Wang12Feng Wang13Feng Wang14Xiaohan Sun15Xiaohan Sun16Xiaohan Sun17Ning Du18Ning Du19Ning Du20Hui Wang21Hui Wang22Hui Wang23Renqing Wang24Renqing Wang25Renqing Wang26Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, ChinaShandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, ChinaQingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, ChinaInstitute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, ChinaShandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, ChinaQingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, ChinaInstitute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, ChinaShandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, ChinaQingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, ChinaInstitute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, ChinaShandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, ChinaQingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, ChinaInstitute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, ChinaShandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, ChinaQingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, ChinaInstitute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, ChinaShandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, ChinaQingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, ChinaInstitute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, ChinaShandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, ChinaQingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, ChinaInstitute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, ChinaShandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, ChinaQingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, ChinaInstitute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, ChinaShandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, ChinaQingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, ChinaPrecise and accurate estimation of key hydraulic points of plants is conducive to mastering the hydraulic status of plants under drought stress. This is crucial to grasping the hydraulic status before the dieback period to predict and prevent forest mortality. We tested three key points and compared the experimental results to the calculated results by applying two methods. Saplings (n = 180) of Robinia pseudoacacia L. were separated into nine treatments according to the duration of the drought and rewatering. We established the hydraulic vulnerability curve and measured the stem water potential and loss of conductivity to determine the key points. We then compared the differences between the calculated [differential method (DM) and traditional method (TM)] and experimental results to identify the validity of the calculation method. From the drought-rewatering experiment, the calculated results from the DM can be an accurate estimation of the experimental results, whereas the TM overestimated them. Our results defined the hydraulic status of each period of plants. By combining the experimental and calculated results, we divided the hydraulic vulnerability curve into four parts. This will generate more comprehensive and accurate methods for future research.https://www.frontiersin.org/articles/10.3389/fpls.2021.627403/fullcalculated resultdifferential methodexperimental resulthydraulicloss of conductivitywater potential |