Mesoscale spatial variability of soil‐water content in an alpine meadow on the northern Tibetan Plateau

2019 ◽  
Vol 33 (19) ◽  
pp. 2523-2534 ◽  
Author(s):  
Xuchao Zhu ◽  
Mingan Shao ◽  
Yin Liang ◽  
Zhiyuan Tian ◽  
Xin Wang ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
Spatial Variability ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Alpine Meadow ◽  
Northern Tibetan Plateau

scholarly journals Application of cosmic-ray neutron sensing to monitor soil water content in an alpine meadow ecosystem on the northern Tibetan Plateau

2016 ◽  
Vol 536 ◽  
pp. 247-254 ◽  
Author(s):  
Xuchao Zhu ◽  
Ming’an Shao ◽  
Chen Zeng ◽  
Xiaoxu Jia ◽  
Laiming Huang ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Alpine Meadow ◽  
Cosmic Ray ◽  
Northern Tibetan Plateau

scholarly journals Response of ecosystem respiration to experimental warming and clipping in Tibetan alpine meadow at three elevations

2013 ◽  
Vol 10 (8) ◽  
pp. 13015-13047 ◽  
Author(s):  
G. Fu ◽  
Y.-J. Zhang ◽  
X.-Z. Zhang ◽  
P.-L. Shi ◽  
Y.-T. Zhou ◽  
...  
Keyword(s):  
Seasonal Variation ◽  
Tibetan Plateau ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Water Availability ◽  
Alpine Meadow ◽  
Ecosystem Respiration ◽  
The Tibetan Plateau ◽  
Experimental Warming

Abstract. This study aims to understand the response of ecosystem respiration (Reco) to warming and clipping in the alpine meadow of Tibet. A field warming experiment using open top chambers was conducted in three alpine meadow sites at elevation 4313 m, 4513 m and 4693 m on the Tibetan Plateau since July 2008. Clipping was conducted three times a year since 2009. Reco was measured from June to September in 2010–2012. For most cases, the seasonal variation of Reco was mainly affected by soil water content rather than soil and air temperature, especially under warmer environment. Experimental warming tended to decrease seasonal average Reco by 21.6% and 10.9% at elevation 4313 m and 4513 m, respectively, but significantly increased seasonal average Reco by 11.3% at elevation 4693 m. The different responses of Reco to experimental warming could be mainly dependent on temperature and water availability condition. Clipping decreased seasonal average Reco by 6.9%, 36.9% and 31.6% at elevation 4313 m, 4513 m and 4693 m. The consistent declines caused by clipping may be mainly attributed to clipping-induced decline in aboveground biomass. Our findings suggested that the response of Reco to warming differed among the alpine meadow and was regulated by soil water content on the Tibetan Plateau.

scholarly journals Temporal stability of electrical conductivity in a sandy soil

2016 ◽  
Vol 30 (3) ◽  
pp. 349-357 ◽  
Author(s):  
Aura Pedrera-Parrilla ◽  
Eric C. Brevik ◽  
Juan V. Giráldez ◽  
Karl Vanderlinden
Keyword(s):  
Electrical Conductivity ◽  
Spatial Variability ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Precision Agriculture ◽  
Temporal Stability ◽  
Principal Component ◽  
Model Parameters ◽  
Soil Spatial Variability

Abstract Understanding of soil spatial variability is needed to delimit areas for precision agriculture. Electromagnetic induction sensors which measure the soil apparent electrical conductivity reflect soil spatial variability. The objectives of this work were to see if a temporally stable component could be found in electrical conductivity, and to see if temporal stability information acquired from several electrical conductivity surveys could be used to better interpret the results of concurrent surveys of electrical conductivity and soil water content. The experimental work was performed in a commercial rainfed olive grove of 6.7 ha in the ‘La Manga’ catchment in SW Spain. Several soil surveys provided gravimetric soil water content and electrical conductivity data. Soil electrical conductivity values were used to spatially delimit three areas in the grove, based on the first principal component, which represented the time-stable dominant spatial electrical conductivity pattern and explained 86% of the total electrical conductivity variance. Significant differences in clay, stone and soil water contents were detected between the three areas. Relationships between electrical conductivity and soil water content were modelled with an exponential model. Parameters from the model showed a strong effect of the first principal component on the relationship between soil water content and electrical conductivity. Overall temporal stability of electrical conductivity reflects soil properties and manifests itself in spatial patterns of soil water content.

scholarly journals The spatial variability of soil water content in a potato field before and after spray irrigation in arid northwestern China

2020 ◽  
Vol 20 (3) ◽  
pp. 860-870 ◽  
Author(s):  
Tao Li ◽  
Jian-feng Zhang ◽  
Si-yuan Xiong ◽  
Rui-xi Zhang
Keyword(s):  
Spatial Variability ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Precision Agriculture ◽  
Field Experiments ◽  
Soil Layer ◽  
Northwestern China ◽  
Potato Field ◽  
Arid Northwestern China

Abstract Assessing the spatial variability of soil water content is important for precision agriculture. To measure the spatial variability of the soil water content and to determine the optimal number of sampling sites for predicting the mean soil water content at different stages of the irrigation cycle, field experiments were carried out in a potato field in northwestern China. The soil water content was measured in 2016 and 2017 at depths of 0–20 and 20–40 cm at 116 georeferenced locations. The average coefficient of variation of the soil water content was 20.79% before irrigation and was 16.44% after irrigation at a depth of 0–20 cm. The spatial structure of the soil water content at a depth of 20–40 cm was similar throughout the irrigation cycle, but at a depth of 0–20 cm a relatively greater portion of the variation in the soil water content was spatially structured before irrigation than after irrigation. The autocorrelation of soil water contents was influenced by irrigation only in the surface soil layer. To accurately predict mean soil moisture content, 40 and 20 random sampling sites should be chosen with errors of 5% and 10%, respectively.

scholarly journals Spatial variability of soil water content and related factors across the Hexi Corridor of China

2018 ◽  
Vol 11 (1) ◽  
pp. 123-134 ◽  
Author(s):  
Xiangdong Li ◽  
Ming’an Shao ◽  
Chunlei Zhao ◽  
Xiaoxu Jia
Keyword(s):  
Spatial Variability ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Hexi Corridor ◽  
Related Factors
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