Co‐ordinated elevational diversity patterns for soil bacteria, fungi, and plants in alkaline soils of arid northwestern China

Author(s):  
Zhi‐Bin He ◽  
Long‐Fei Chen ◽  
Wen‐Zhi Zhao ◽  
Ji‐Liang Liu ◽  
Ming‐Dan Song ◽  
...  
2004 ◽  
Vol 23 (23-24) ◽  
pp. 2537-2548 ◽  
Author(s):  
B YANG ◽  
Y SHI ◽  
A BRAEUNING ◽  
J WANG

2009 ◽  
Vol 19 (2) ◽  
pp. 164-174 ◽  
Author(s):  
Jianrong Liu ◽  
Xianfang Song ◽  
Xiaomin Sun ◽  
Guofu Yuan ◽  
Xin Liu ◽  
...  

PLoS ONE ◽  
2015 ◽  
Vol 10 (8) ◽  
pp. e0135376 ◽  
Author(s):  
Wenchao Sun ◽  
Hao Song ◽  
Xiaolei Yao ◽  
Hiroshi Ishidaira ◽  
Zongxue Xu

2020 ◽  
Vol 20 (3) ◽  
pp. 860-870 ◽  
Author(s):  
Tao Li ◽  
Jian-feng Zhang ◽  
Si-yuan Xiong ◽  
Rui-xi Zhang

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.


2020 ◽  
Vol 34 (16) ◽  
pp. 3524-3538 ◽  
Author(s):  
Lei Wu ◽  
Changbin Li ◽  
Liuming Wang ◽  
Zhibin He ◽  
Yuan Zhang ◽  
...  

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