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Soil Nutrients as Influenced by Different Natural Vegetation Types in the Western Ghats Region of Kerala, India - Factor Analysis

机译:印度喀拉拉邦西高止山脉地区不同自然植被类型对土壤养分的影响-因子分析

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Two significant factors viz., soil aggrading factor(55 36 per cent) and nutrient and cation exchange capacity (CEC) factor (15.68 per cent) were identified through factor analysis of soil nutrient distribution pattern in three natural vegetation typesviz., evergreen, semi evergreen and moist deciduous forests in Kerala. The two factors together accounted for 71 per cent of the total variation in the twelve selected soil properties, The model explained 90% of variance in organic P; 85% of the variance in total S; >=80% of the variance in available S and total P; >=75% of variance in available P and organic S; >=70% variance in ammoniacal N; >=65% variance in total N; >=60% variance in organic carbon and nitrate N; >=54% variance in available N and 45% variance in cation exchange capacity (CEC). The inter - factor correlations indicate that this model is suitable for assessing the soil status in evergreen, semi evergreen and moist deciduous forests in Kerala, India.
机译:通过对三种自然植被类型的土壤养分分布格局进行因子分析,确定了土壤凝结因子(55 36%)和养分和阳离子交换能力(CEC)因子(15.68%)这两个重要因子。喀拉拉邦常绿湿润的落叶林。这两个因素合起来构成了所选择的十二种土壤特性总变化的71%。该模型解释了有机磷90%的变化。总S方差的85%; > =可用S和总P的方差的80%;有效磷和有机硫方差> = 75%;氨氮变化≥70%;总氮方差> = 65%;有机碳和硝酸盐氮的变化≥60%;有效氮变化> = 54%,阳离子交换容量(CEC)变化> 45%。因子间的相关性表明,该模型适合评估印度喀拉拉邦常绿,半常绿和湿润落叶林的土壤状况。

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