Spatial and temporal variations of snow cover in the Loess Plateau, China

2014 ◽  
Vol 35 (8) ◽  
pp. 1721-1731 ◽  
Author(s):  
Xin Jin ◽  
Chang-Qing Ke ◽  
Yu-Yue Xu ◽  
Xiu-Cang Li
Keyword(s):  
Snow Cover ◽  
Loess Plateau ◽  
Temporal Variations ◽  
Spatial And Temporal Variations ◽  
The Loess Plateau

Spatial and temporal variations of soil moisture in three types of agroforestry boundaries in the Loess Plateau, China

2010 ◽  
Vol 21 (4) ◽  
pp. 415-422 ◽  
Author(s):  
Wen-zhong You ◽  
De-hui Zeng ◽  
Ming-guo Liu ◽  
Li-li Yun ◽  
Yan-hui Ye ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Loess Plateau ◽  
Temporal Variations ◽  
Spatial And Temporal Variations ◽  
The Loess Plateau

scholarly journals Spatial and Temporal Variations of Crop Fertilization and Soil Fertility in the Loess Plateau in China from the 1970s to the 2000s

PLoS ONE ◽  
2014 ◽  
Vol 9 (11) ◽  
pp. e112273 ◽  
Author(s):  
Xiaoying Wang ◽  
Yanan Tong ◽  
Yimin Gao ◽  
Pengcheng Gao ◽  
Fen Liu ◽  
...  
Keyword(s):  
Soil Fertility ◽  
Loess Plateau ◽  
Temporal Variations ◽  
Spatial And Temporal Variations ◽  
The Loess Plateau

scholarly journals Spatial and Temporal Variations of Snow Cover in the Karoon River Basin, Iran, 2003–2015

Water ◽  
2017 ◽  
Vol 9 (12) ◽  
pp. 965 ◽  
Author(s):  
Mohammad Keikhosravi Kiany ◽  
Seyed Masoodian ◽  
Robert Balling ◽  
Bohumil Svoma
Keyword(s):  
Snow Cover ◽  
River Basin ◽  
Temporal Variations ◽  
Spatial And Temporal Variations ◽  
Karoon River

scholarly journals Inter- and intra-event rainfall partitioning dynamics of two typical xerophytic shrubs in the Loess Plateau of China

2022 ◽  
Author(s):  
Jinxia An ◽  
Guangyao Gao ◽  
Chuan Yuan ◽  
Bojie Fu
Keyword(s):  
Loess Plateau ◽  
Water Storage ◽  
Temporal Variations ◽  
Individual Plant ◽  
The Loess Plateau ◽  
Event Scale ◽  
Caragana Korshinskii ◽  
Canopy Area ◽  
Interception Loss ◽  
Canopy Water

Abstract. Rainfall is known as the main water replenishment in dryland ecosystem, and rainfall partitioning by vegetation reshapes the spatial and temporal distribution patterns of rainwater entry into the soil. The dynamics of rainfall partitioning have been extensively studied at the inter-event scale, yet very few studies have explored its finer intra-event dynamics and the relating driving factors for shrubs. Here, we conducted a concurrent in-depth investigation of rainfall partitioning at inter- and intra-event scales for two typical xerophytic shrubs (Caragana korshinskii and Salix psammophila) in the Liudaogou catchment of the Loess Plateau, China. The event throughfall (TF), stemflow (SF), and interception loss (IC) and their temporal variations within the rainfall event as well as the meteorological factors and vegetation characteristics were systematically measured during the 2014–2015 rainy seasons. The C. korshinskii had significantly higher SF percentage (9.2 %) and lower IC percentage (21.4 %) compared to S. psammophila (3.8 % and 29.5 %, respectively) (p < 0.05), but their TF percentages were not significantly different (69.4 % vs. 66.7 %). At the intra-event scale, TF and SF of S. psammophila was initiated (0.1 vs. 0.3 h and 0.7 vs. 0.8 h) and peaked (1.8 vs. 2.0 h and 2.1 vs. 2.2 h) more quickly, and TF of S. psammophila lasted longer (5.2 vs. 4.8 h), delivered more intensely (4.3 vs. 3.8 mm∙h−1), whereas SF of C. korshinskii lasted longer (4.6 vs. 4.1 h), delivered more intensely (753.8 vs. 471.2 mm∙h−1). For both shrubs, rainfall amount was the most significant factor influencing inter-event rainfall partitioning, and rainfall intensity and duration controlled the intra-event TF and SF variables. The C. korshinskii with larger branch angle, more small branches and smaller canopy area, has an advantage to produce stemflow more efficiently over S. psammophila. The S. psammophila has lower canopy water storage capacity to generate and peak throughfall and stemflow earlier, and it has larger aboveground biomass and total canopy water storage of individual plant to produce higher interception loss compared to C. korshinskii. These findings contribute to the fine characterization of shrub-dominated eco-hydrological processes, and improve the accuracy of water balance estimation in dryland ecosystem.

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