Application of Canonical Correlation for Soil -Vegetation Interrelationship in the Cocoa Belt of South Western Nigeria

O. Ekanade, Oluwagbenga O. I. Orimoogunje
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引用次数: 14

Abstract

This paper investigates the multivariate relationships between the soil and vegetation characteristics of plant communities of forest, fallow and cocoa for two reasons. The first is to bringing out the interactions among a set of inde- pendent variables and pinpoint the relative importance of each of these variables on a dependent variable be it a soil or a vegetation element. The second is to illustrate the changes that occur to the soil-vegetation properties as the tropical rainforest is cultivated to cocoa and field crops. The processes of choosing the study sites followed a random selection of sample points under three land use types: forest, fallow and cocoa (Theobroma cacao). A total of 300 sample points were selected under each of fallow and cocoa and 260 were selected under the forest. From each sample point soil samples were collected to a depth of 45 cm (i.e. 0-15 cm; 15-45 cm) placed into well-labelled polythene bags and taken to the laboratory for analysis. The results for the forest shows that the canonical variate of the vegetation variables account for 31% of the variance extracted by the soil factors, while the soil variables also account for 31% of the variance extracted by the vegetation variables while the result of the canonical correlation for fallow soil and vegetation extracted for the first and second canonical variates are 0.91 and 0.61 respectively. The result for the canonical correlation coefficients for cocoa for the first and second canonical variates is 0.68 and 0.51 respectively. The study concluded that while simple relationships were observed among soil and vegetation properties in the forest and fallow, complex relationships were recognised in the cocoa plant community.
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典型相关在尼日利亚西南部可可带土壤-植被相互关系中的应用
本文从两个方面探讨了森林、休耕和可可植物群落土壤与植被特征之间的多元关系。首先是找出一组自变量之间的相互作用,并精确指出这些变量中每个变量对因变量的相对重要性,无论是土壤还是植被元素。第二个是为了说明随着热带雨林种植可可和大田作物,土壤植被特性发生的变化。在选择研究地点的过程中,随机选择了三种土地利用类型的样本点:森林、休耕和可可(可可可可)。休耕区和可可区各选300个样本点,森林区各选260个样本点。从每个采样点采集45 cm深度的土壤样本(即0-15 cm;15-45厘米),放入贴有标签的塑料袋中,带到实验室进行分析。结果表明,森林植被变量的典型变量占土壤因子提取方差的31%,土壤变量也占植被变量提取方差的31%,而休耕土壤和植被的典型相关提取的第一和第二典型变量的结果分别为0.91和0.61。可可的第一和第二典型变量的典型相关系数分别为0.68和0.51。该研究得出的结论是,虽然在森林和休耕地观察到土壤和植被特性之间存在简单的关系,但在可可植物群落中发现了复杂的关系。
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