A soil sampling design for arable land quality observation by using SPCOSA–CLHS hybrid approach

Arable land quality has been evaluated through weighted average of indicators related to soil properties and tillage technics to present the most basic function of cropland: food production potential. A hybrid sampling method spatial coverage sampling and random sampling–conditioned Latin hypercube...

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Veröffentlicht in:	Land degradation & development 2021-11, Vol.32 (17), p.4889-4906
Hauptverfasser:	Wan, Changjun, Kuzyakov, Yakov, Cheng, Changxiu, Ye, Sijing, Gao, Bingbo, Gao, Peichao, Ren, Shuyi, Yun, Wanqi
Format:	Artikel
Sprache:	eng
Schlagworte:	Agricultural land Arable land arable land quality Bulk density conditioned Latin hypercube sampling Divergence Entropy (Information theory) Food production Heterogeneity Homogeneity Hypercubes Indicators land computing Latin hypercube sampling observation network Organic matter Organic soils Plows Random sampling Sample size Sampling Sampling designs Sampling methods Soil density Soil properties Soil sampling Spatial heterogeneity spatial sampling Statistical sampling Thickness Tillage
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