Studying the effect of land use change on soil properties using multivariate analysis methods

سال انتشار: 1402
محل انتشار: سومین همایش بین المللی و ششمین همایش ملی علوم کواترنری- انجمن کواترنری ایران
کد COI اختصاصی: IQA06_056
زبان مقاله: انگلیسی
تعداد مشاهده: 128

نویسندگان

Department of Soil Science, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran

Department of Soil Sciences, Faculty of Water and Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resource, Iran

Kazem Khavazi

Iranian Soil and Water Institute, Karaj, Iran

Ali Mokhtassi Bidgoli

Department of Agronomy, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran

چکیده

Deforestation greatly affected soil properties. Soil samples were collected from six land uses of the forest, pasture, maize+C۳, maize+C۳ (R), Oat, and garden with three replications at ۰-۳۰, ۳۰-۶۰, and ۶۰-۱۰۰ cm depths. Statistical analysis was performed using cluster (CA) and principal component analysis (PCA). The purpose of this study was to investigate the effect of deforestation on soil properties using cluster (CA) and principal component analysis (PCA). Results show that the forest and pasture at ۰-۳۰ cm depth are located in separate clusters, but the maize+C۳, maize+C۳(R), oat, and garden lands at ۰-۳۰ cm depth are located in one cluster. The other land uses in lower depths are located in a cluster. The PCA results showed that the soil chrasticrics in the forest and pasture land uses are more similar than the agricultural and garden lands. The variables more associated with the forest and pasture were different carbon forms, organic carbon in aggregate with ۲-۴.۷۵ mm size, soil respiration, MBC, and Cellulase enzyme activity (CEL). Conversely, the variables associated with the maize+C۳, maize+C۳(R), and garden were Invertase enzyme activity (INV), organic carbon in aggregate with the size of ۰.۲۵-۲ and ۰.۰۵۳-۰.۲۵ mm.

کلیدواژه ها

Deforestation, soil, cluster analysis, principal component analysis

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