Stem flow of seed-maize under alternate furrow irrigation and double-row ridge planting in an arid region of Northwest China

Bo, Xiaodong; Du, Taisheng; Ding, Risheng; Tong, Ling; Li, Sien

doi:10.1016/s2095-3119(14)60930-8

Cited by 5 publications

(3 citation statements)

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“…However, lags in sap flow in response to Rs increased across plant growth stages with distinct changes in sap flow lags in each growth state. Differences in sap flow lags were not related to plant size because the height and leaf area were stable during the observation period (Bo et al, 2015). The differences in sap flow lags in various growth stages when the plant height and leaf area were stable could be due to the changes in capacitance tissues, probably confirming that variability in lags mainly correspond to the differences in plant capacitance (Schulze et al, 1985;Martin et al, 1997;Phillips et al, 1997;Goldstein et al, 1998;O'Brien et al, 2004;Čermák et al, 2007;Dragoni et al, 2009;Liu et al, 2015).…”

Section: Time Lags Between Seed-maize Stem Sap Flow and Environmental Factorsmentioning

confidence: 90%

“…The stem sap flow data on 132 DAS were used to validate the models. In multivariate regression model, the independent variables included Rs and VPDair, which were the mainly positive affecting factors of seed-maize stem flow (Bo et al, 2015). Likewise, we fitted the ARIMAX model to the stem sap flow series using independent variables as predictor variables.…”

Section: Data Analysis and Modelingmentioning

confidence: 99%

“…Determining the temporal coupling between water flux at the base of seed-maize plants and meteorological driving variables is needed to accurately estimate canopy transpiration or canopy gas exchange from sap flow measurements, and eventually scale up the time lag phenomena across many plants to obtain a field scale lag of water uptake in relation to evaporative demand. Using field crop sap flow and meteorological measurements in a mature seed-maize field, we applied cross correlation analysis to compare time lags due to solar radiation (Rs) and vapor pressure deficit of the air (VPDair), Rs and VPDair being the two factors that were previously demonstrated to affect transpiration in seed-maize (Bo et al, 2015). The objectives of the present study were to investigate dynamic relationships between stem sap flow and meteorological driving variables (Rs and VPDair) and also to analyze the effects of soil factors (i.e., soil water content) and plant factors (i.e., stored water use, plant growth, and interspecific differences) on the temporal coupling between basal stem flow and meteorological driving variables.…”

Section: Introductionmentioning

confidence: 99%

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Time lag characteristics of sap flow in seed-maize and their implications for modeling transpiration in an arid region of Northwest China

Ding

et al. 2017

J. Arid Land

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Plant capacity for water storage leads to time lags between basal stem sap flow and transpiration in various woody plants. Internal water storage depends on the sizes of woody plants. However, the changes and its influencing factors in time lags of basal stem flow during the development of herbaceous plants including crops remain unclear. A field experiment was conducted in an arid region of Northwest China to examine the time lag characteristics of sap flow in seed-maize and to calibrate the transpiration modeling. Cross-correlation analysis was used to estimate the time lags between stem sap flow and meteorological driving factors including solar radiation (Rs) and vapor pressure deficit of the air (VPDair). Results indicate that the changes in seed-maize stem sap flow consistently lagged behind the changes in Rs and preceded the changes in VPDair both on hourly and daily scales, suggesting that light-mediated stomatal closures drove sap flow responses. The time lag in the maize's sap flow differed significantly during different growth stages and the difference was potentially due to developmental changes in capacitance tissue and/or xylem during ontogenesis. The time lags between stem sap flow and Rs in both female plants and male plants corresponded to plant use of stored water and were independent of total plant water use. Time lags of sap flow were always longer in male plants than in female plants. Theoretically, dry soil may decrease the speed by which sap flow adjusts ahead of shifts in VPDair in comparison with wet soil and also increase the speed by which sap flow adjusts to Rs. However, sap flow lags that were associated with Rs before irrigation and after irrigation in female plants did not shift. Time series analysis method provided better results for simulating seed-maize sap flow with advantages of allowing for fewer variables to be included. This approach would be helpful in improving the accuracy of estimation for canopy transpiration and conductance using meteorological measurements.

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