Being an important desert riparian forest in the lower reaches of the Heihe River Basin, Populus euphratica Oliv. forest functions as a natural barrier in maintaining and preserving the stability of local oases. Accor...Being an important desert riparian forest in the lower reaches of the Heihe River Basin, Populus euphratica Oliv. forest functions as a natural barrier in maintaining and preserving the stability of local oases. Accordingly, accurately estimating the water use of P. euphratica is important for vegetation protection and water resource allocation. To date, little data are available for evaluating the hysteretic effects between sap flow and environmental variables, and for estimating the water use of desert riparian forest. In this study, we measured the sap flow velocity （Vs） of P. euphratica using the heat ratio method during the growing season of 2012. Based on the response of Vs to solar radiation （R,） and vapor pressure deficit （VPD）, we estimated the hourly Vs and daily Vs using the multivariable linear regression and a modified Jarvis-Stewart （JS） model, respectively. Hysteretic response of Vs to environmental variables was then evaluated using a sap flow model. We found the thresholds of V, responses to Rs and VPD at both hourly and daily scales during the growing season, and successfully estimated the seasonal variations of hourly V, and daily Vs using the JS model. At an hourly scale, the maximum V~ occurred earlier than the maximum VPD by approximately 0.5 h but later than the maximum R, by approximate 1.0 h. At a daily scale, the maximum Vs lagged behind the maximum VPD by approximately 2.5 h while occurred earlier than the maximum Rs by approximately 2 h. However, hysteretic response of V, was weakened when Rs and VPD were measured together using the JS model at both hourly and daily scales. Consequently, short-term and intensive field campaigns, where Vs and environmental variables can be measured, may be used to estimate short-run sap flow and stand transpiration using only two environmental variables.展开更多
基金supported by the National Natural Science Foundation of China (91425301,91025024)the Key Project of Chinese Academy of Sciences (KZZD-EW-04-05)the West Light Foundation of Chinese Academy of Sciences
文摘Being an important desert riparian forest in the lower reaches of the Heihe River Basin, Populus euphratica Oliv. forest functions as a natural barrier in maintaining and preserving the stability of local oases. Accordingly, accurately estimating the water use of P. euphratica is important for vegetation protection and water resource allocation. To date, little data are available for evaluating the hysteretic effects between sap flow and environmental variables, and for estimating the water use of desert riparian forest. In this study, we measured the sap flow velocity （Vs） of P. euphratica using the heat ratio method during the growing season of 2012. Based on the response of Vs to solar radiation （R,） and vapor pressure deficit （VPD）, we estimated the hourly Vs and daily Vs using the multivariable linear regression and a modified Jarvis-Stewart （JS） model, respectively. Hysteretic response of Vs to environmental variables was then evaluated using a sap flow model. We found the thresholds of V, responses to Rs and VPD at both hourly and daily scales during the growing season, and successfully estimated the seasonal variations of hourly V, and daily Vs using the JS model. At an hourly scale, the maximum V~ occurred earlier than the maximum VPD by approximately 0.5 h but later than the maximum R, by approximate 1.0 h. At a daily scale, the maximum Vs lagged behind the maximum VPD by approximately 2.5 h while occurred earlier than the maximum Rs by approximately 2 h. However, hysteretic response of V, was weakened when Rs and VPD were measured together using the JS model at both hourly and daily scales. Consequently, short-term and intensive field campaigns, where Vs and environmental variables can be measured, may be used to estimate short-run sap flow and stand transpiration using only two environmental variables.
