Spatial variability of clay minerals in a semi-arid region of Turkiye

• Published in: Geoderma Regional Vol. 38; p. e00820
• Main Authors: Günal, Hikmet, Acir, Nurullah
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2024
• Subjects: algorithms; Artificial intelligence; calcium; cation exchange capacity; clay; Clay mineral; Covariate; ecosystems; fertilizer application; illite; kaolinite; magnesium; mineral content; Modeling; Prediction; regression analysis; semiarid zones; soil formation; Spatial distribution; Spatial distribution; Covariate; Modeling; Artificial intelligence; Clay mineral; Prediction

Clay minerals are the source of many chemical and physical properties that influence the provision of soil-based ecosystem services. This study aimed to identify the most significant soil characteristics contributing to the spatial variability of clay minerals in a semi-arid region of Turkiye. Addit...