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作 者:Adzemi Mat Arshad Mustika Edi Armanto Juergen Lamp Elisa Wildayana
机构地区:[1]Faculty of Agrotechnology and Food science, Universiti Malaysia Terengganu, Kuala Terengganu 21030, Malaysia [2]Faculty of Agriculture, Sriwijaya University, South Sumatra 30662, Indonesia [3]Institute of Plant Nutrition and Soil Science, Kiel University, Kiel D-24118, Germany
出 处:《Journal of Environmental Science and Engineering(A)》2012年第12期1329-1337,共9页环境科学与工程(A)
摘 要:The objective of this research is to analyze optimal interpolation and Kriging mapping of soil characters in Glacial Moraine Landscapes. The research site is located in sloping landscapes, Kuehren, North Germany. The survey method was detailed using maps with scales of 1:5,000. Soil sampling was performed by soil pits and borings and completely analyzed in laboratory. Collected data were evaluated by Geostatistics program for spatial soil variability analyses. All maps (produced by Kriging interpolation) picture redistribution of soil nutrients and soil fractions and all map isolines run in similar directions according to landscape nets. The position in the landscape is responsible for increased soil variability. Soil variability becomes higher with decreasing elevation; this means it increases from hilltops to lower slopes. All observed soil characters show relationships to the soil variability. This variability system is caused by convex depressions and hedgerows (Knicks) function as barriers for the redistribution of transported material and offsite sedimentation. Therefore fluxes can be assessed by soil gain and loss balances.
关 键 词:Optimal interpolation Kriging mapping soil characters glacial moraine landscapes
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