2023
DOI: 10.1016/j.ecolind.2023.110254
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Water use efficiency at multi-time scales and its response to episodic drought and wet periods in a typical subtropical evergreen forest of Southeast China

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Cited by 7 publications
(3 citation statements)
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“…Previous studies have indicated that relative humidity and vapor pressure deficit predominantly influence actual and potential evapotranspiration. The air's relative humidity to some extent determines the sensitivity of transpiration to stomatal conductance [51], with an increase in relative humidity facilitating plant water transpiration [52][53][54][55]. Our study corroborates this perspective, demonstrating that WUE decreases with rising RH.…”
Section: The Main Drivers Of Wue Variation In Ecosystemssupporting
confidence: 84%
“…Previous studies have indicated that relative humidity and vapor pressure deficit predominantly influence actual and potential evapotranspiration. The air's relative humidity to some extent determines the sensitivity of transpiration to stomatal conductance [51], with an increase in relative humidity facilitating plant water transpiration [52][53][54][55]. Our study corroborates this perspective, demonstrating that WUE decreases with rising RH.…”
Section: The Main Drivers Of Wue Variation In Ecosystemssupporting
confidence: 84%
“…The SM and RH were obtained from ERA5-Land and ERA5 reanalysis datasets, respectively (Muñoz Sabater, 2019;Hersbach et al, 2023). The VPD was calculated using RH and TEM (Jiao et al, 2019;Li et al, 2023). These datasets were processed into annual values with a spatial resolution of 0.05° for the period from 2003 to 2018.…”
Section: Datamentioning
confidence: 99%
“…The influencing factors of WUE had significant spatial heterogeneity and varied with the time scales. Li et al (2023) employed structural equation modeling (SEM) to investigate the influences of WUE in a subtropical evergreen forest in southeastern China and found that WUE responded significantly to soil moisture (SM) at different time scales (from half-hourly to monthly scales). Qin et al (2023) used geographic detector modeling (GDM) to discover that land surface temperature (LST) had the strongest driving effect on WUE in Central Asia, and temperature (TEM) had the largest interaction effect with vegetation cover.…”
Section: Introductionmentioning
confidence: 99%