The geostatistics were used for analyzing the spatial variability of the soil particle composition in Mengding tea plantation with two sampling scales at Sichuan province. The result indicated that all of the composition of the soil particle-size in tea plantation soil with the small scale in Mengding mountain had a strong spatial relativity
but only clay had a strong spatial relativity with the micro scale in a representative tea plantation field. Clay had the longest interrelated range in soil with small scale
on contrary
it hand the shortest interrelated range with micro scale. Anisotropy analysis illuminated that the primary aspect of the spatial variability was strong at north
northwest and northeast in tea plantation soil with the small scale
and all of the composition of the particle-size had a strong spatial variability in northwest except sand; All except sand had strong spatial variability in northwest
and the spatial variability of sand was not so obvious with small scale. The ordinary Kriging analysis indicated that there was not any visible rule in the spatial distribution of the particle composition with small scale. The equivalence of the particle composition changed at the aspect of northwest with micro scale. The micro-terrain such as gradient
the length of gradient and the special modeof the mantle with tea plant were the primary factor that controlling the distribution of the particle composition.
Spatial Variability of Soil Particle Composition in Hilly Tea Plantation Soils With Different Sampling Scales
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Spatial Variability of Soil Organic Carbon in Catchment Scale of Loess Hilly Area
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Related Author
FENG Na-na
LI Ting-xuan
LIAO Gui-tang
WANG Yong-dong
ZHANG Xi-zhou
SU Yong-zhong
WANG Fang
XUE Zhi-jing
Related Institution
XUE Zhi-jing1,HOU Xiao-rui1,CHENG Man1,AN Shao-shan1,2(1.College of Resources and Environment,Northwest A&F University,Yangling,Shaanxi 712100,2.Instititue of Soil and Water Conservation,)
西北农林科技大学水土保持研究所,陕西杨凌
Institute of Water Conservancy History, China Academy of Water Resources and Hydropower Sciences
College of Urban and Environmental Sciences,Central China Normal University
Hubei Key Laboratory for Geographical Process Analyzing&Modeling