Comparison of Different Methods to Estimate Canopy Water Storage Capacity of Two Shrubs in the Semi-Arid Loess Plateau of China

The canopy water storage capacity of vegetation has great significance for the hydrological cycle. We used the Pereira regression analysis method, scale-up method, and simulated rainfall method to determine canopy water storage capacity from 2014 to 2018. The Pereira regression analysis was affected...

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Bibliographic Details
Main Authors: Caihong Hu, Xueli Zhang, Xinming Ding, Denghua Yan, Shengqi Jian
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Forests
Subjects:
Online Access:https://www.mdpi.com/1999-4907/13/8/1187
Description
Summary:The canopy water storage capacity of vegetation has great significance for the hydrological cycle. We used the Pereira regression analysis method, scale-up method, and simulated rainfall method to determine canopy water storage capacity from 2014 to 2018. The Pereira regression analysis was affected mainly by the seasonal variation in the leaf area index and the observation method of throughfall. The canopy water storage capacity was 0.68 mm and 0.72 mm for <i>C. korshinskii</i> and <i>H. rhamnoides</i>, respectively. The canopy water storage capacity of <i>C. korshinskii</i> and <i>H. rhamnoides</i> was 0.73 mm and 0.76 mm, respectively, using the scale-up method. The scale-up method showed that water storage capacity per area of the canopy components was in the order of branches (0.31 mm) > leaves (0.27 mm) > trunks (0.15 mm) for <i>C. korshinskii</i>, and trunks (0.33 mm) > branches (0.29 mm) > leaves (0.14 mm) for <i>H. rhamnoides</i>. We used eight simulated rainfall intensities to determine the canopy water storage capacity for <i>C. korshinskii</i> and <i>H. rhamnoides</i>, which was 0.63 mm and 0.59 mm, respectively.
ISSN:1999-4907