Modelling Soil Color and Soil Fertility Relations on Cultivated Semi-Arid Sloping Landscapes

Zeinab Abdi Djama, Seval SÜNAL KAVAKLIGİL, S. Erşahin
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Abstract

Soil color is a critical property, providing important information on soil properties. Soil color highly spatially varies on cultivated semi-arid sloping landscapes, indicating differences in soil properties that affect soil fertility. This study evaluated the relationships between color variables (L*: soil brightness, a*: redness, and b*: yellowness) and some basic soil properties on air dry and wet (around field capacity) soil samples, in a semi-arid sloping landscape having been under wheat cultivation for a long time. The values of color variables and soil properties were graphed and relationships between them were modeled using most proper regression models. The soil properties were poorly related to values of a* and b*, while CaCO3, sand, clay, and K contents and EC were highly significantly correlated with values of L*-wet (L*-values obtained on moist soil samples). Soil EC and CaCO3 content can be safely predicted by L*-wet in the study area. Also, the L*-wet should be preferred over L*-dry in predicting soil properties from soil color components in the study area and similar soils.
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半干旱耕地坡地景观土壤颜色与肥力关系模拟
土壤颜色是一种重要的性质,提供了土壤性质的重要信息。半干旱耕地坡地土壤颜色在空间上存在较大差异,表明影响土壤肥力的土壤性质存在差异。本研究以长期种植小麦的半干旱坡地为研究对象,对空气干、湿(田间容量)土壤样品的颜色变量(L*:土壤亮度、a*:红度和b*:黄度)与土壤基本性状的关系进行了评价。绘制了颜色变量与土壤性质的关系图,并用最合适的回归模型对它们之间的关系进行了建模。土壤性质与a*和b*值相关性较差,而CaCO3、砂、粘土、K含量和EC与L*-wet值(在湿土样品上获得的L*值)相关性极显著。L*-wet可以较安全地预测研究区土壤EC和CaCO3含量。此外,在研究区和类似土壤中,从土壤颜色成分预测土壤性质时,应优先采用L*湿法而不是L*干法。
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