基于主成分分析和聚类分析的土壤养分特性研究
为明确吉林省中北部土壤养分变化特征,充分了解土壤本身的特性,达到合理施肥的目的,本研究对55个耕层土壤(0~30 cm)进行采样,测定分析了土壤pH以及土壤中速效氮、速效磷、速效钾、有机质和微量元素的含量,应用主成分分析和聚类分析方法评价了土壤肥力特性.结果表明,研究区的最佳分区数为6种养分类型:第Ⅰ类为缓效钾、有机质、锰和硼极低型;第Ⅱ类为速效钾、锰、铁和硼偏高,全磷偏低型;第Ⅲ类为有机质偏高,其他元素适中型;第Ⅳ类为速效钾偏低,缓效钾较高,硼偏低型,其他元素适中型;第Ⅴ类为速效钾、铁含量偏低,其他元素适中型;第Ⅵ类为速效钾、全磷、pH偏高,锰偏低型.6种类型占比分别为40%、5%、24%、...
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Published in | 华南农业大学学报 Vol. 34; no. 4; pp. 484 - 488 |
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Main Author | |
Format | Journal Article |
Language | Chinese |
Published |
吉林农业大学信息技术学院,吉林长春,130118%长春嘉和外科医院,吉林长春,130051
2013
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Subjects | |
Online Access | Get full text |
ISSN | 1001-411X |
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Abstract | 为明确吉林省中北部土壤养分变化特征,充分了解土壤本身的特性,达到合理施肥的目的,本研究对55个耕层土壤(0~30 cm)进行采样,测定分析了土壤pH以及土壤中速效氮、速效磷、速效钾、有机质和微量元素的含量,应用主成分分析和聚类分析方法评价了土壤肥力特性.结果表明,研究区的最佳分区数为6种养分类型:第Ⅰ类为缓效钾、有机质、锰和硼极低型;第Ⅱ类为速效钾、锰、铁和硼偏高,全磷偏低型;第Ⅲ类为有机质偏高,其他元素适中型;第Ⅳ类为速效钾偏低,缓效钾较高,硼偏低型,其他元素适中型;第Ⅴ类为速效钾、铁含量偏低,其他元素适中型;第Ⅵ类为速效钾、全磷、pH偏高,锰偏低型.6种类型占比分别为40%、5%、24%、13%、13%和5%.为了简化施肥操作流程,也可把其分为更少的类型. |
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AbstractList | S158; 为明确吉林省中北部土壤养分变化特征,充分了解土壤本身的特性,达到合理施肥的目的,本研究对55个耕层土壤(0~30 cm)进行采样,测定分析了土壤pH以及土壤中速效氮、速效磷、速效钾、有机质和微量元素的含量,应用主成分分析和聚类分析方法评价了土壤肥力特性.结果表明,研究区的最佳分区数为6种养分类型:第Ⅰ类为缓效钾、有机质、锰和硼极低型;第Ⅱ类为速效钾、锰、铁和硼偏高,全磷偏低型;第Ⅲ类为有机质偏高,其他元素适中型;第Ⅳ类为速效钾偏低,缓效钾较高,硼偏低型,其他元素适中型;第Ⅴ类为速效钾、铁含量偏低,其他元素适中型;第Ⅵ类为速效钾、全磷、pH偏高,锰偏低型.6种类型占比分别为40%、5%、24%、13%、13%和5%.为了简化施肥操作流程,也可把其分为更少的类型. 为明确吉林省中北部土壤养分变化特征,充分了解土壤本身的特性,达到合理施肥的目的,本研究对55个耕层土壤(0~30 cm)进行采样,测定分析了土壤pH以及土壤中速效氮、速效磷、速效钾、有机质和微量元素的含量,应用主成分分析和聚类分析方法评价了土壤肥力特性.结果表明,研究区的最佳分区数为6种养分类型:第Ⅰ类为缓效钾、有机质、锰和硼极低型;第Ⅱ类为速效钾、锰、铁和硼偏高,全磷偏低型;第Ⅲ类为有机质偏高,其他元素适中型;第Ⅳ类为速效钾偏低,缓效钾较高,硼偏低型,其他元素适中型;第Ⅴ类为速效钾、铁含量偏低,其他元素适中型;第Ⅵ类为速效钾、全磷、pH偏高,锰偏低型.6种类型占比分别为40%、5%、24%、13%、13%和5%.为了简化施肥操作流程,也可把其分为更少的类型. |
Abstract_FL | The objective of the study was to analyze and determine soil characteristics and apply fertilizer rationally by the results of available nitrogen , available phosphorus , available potassium , soil pH , organ-ic matter, trace elements content characteristics in Jilin Province .Principal component analysis and clus-ter analysis methods were applied to evaluate fertility characteristics in the soil research .Soil characteris-tics of available nitrogen , available phosphorus and available potassium and organic matter , pH value , soil trace element content index were explored based on 55 soil samples (0-30 cm).The results showed that the optimal partition number was 6 nutrient clusters:Ⅰ) The content of Slow-release potassium , or-ganic matter , manganese and boron was very low;Ⅱ) The content of total phosphorus was low , the con-tent of Fe and boron was high;Ⅲ) The content of organic matter was high;Ⅳ) The content of available potassium was high , the content of boron was low; Ⅴ) The content of available potassium and Fe was low;Ⅵ) The content of available potassium , total phosphorus , pH were high, the content of manganese was low .The ratios of these 6 various clusters were 40%, 5%, 24%, 13%, 13%and 5%.In order to simplify the fertilization process , the soil categories could be divided into fewer classes . |
Author | 赵月玲 林玉玲 曹丽英 马丽 陈桂芬 |
AuthorAffiliation | 吉林农业大学信息技术学院,吉林长春130118 长春嘉和外科医院,吉林长春130051 |
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Author_FL | ZHAO Yueling CAO Liying MA Li LIN Yuling CHEN Guifen |
Author_FL_xml | – sequence: 1 fullname: ZHAO Yueling – sequence: 2 fullname: LIN Yuling – sequence: 3 fullname: CAO Liying – sequence: 4 fullname: MA Li – sequence: 5 fullname: CHEN Guifen |
Author_xml | – sequence: 1 fullname: 赵月玲 林玉玲 曹丽英 马丽 陈桂芬 |
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DocumentTitleAlternate | A Study of Soil Nutrients Characteristics Based on Principal Component and Cluster Analysis |
DocumentTitle_FL | A Study of Soil Nutrients Characteristics Based on Principal Component and Cluster Analysis |
EndPage | 488 |
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Keywords | geostatistics soil nutrients 主成分分析 土壤养分 地学统计学 spatial variability cluster analysis 聚类分析 空间变异 principal component analysis |
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Notes | geostatisties; soil nutrients; spatial variability; principal component analysis; cluster analysis The objective of the study was to analyze and determine soil characteristics and apply fertilizer rationally by the results of available nitrogen , available phosphorus , available potassium , soil pH , organ-ic matter, trace elements content characteristics in Jilin Province .Principal component analysis and clus-ter analysis methods were applied to evaluate fertility characteristics in the soil research .Soil characteris-tics of available nitrogen , available phosphorus and available potassium and organic matter , pH value , soil trace element content index were explored based on 55 soil samples (0-30 cm).The results showed that the optimal partition number was 6 nutrient clusters:Ⅰ) The content of Slow-release potassium , or-ganic matter , manganese and boron was very low;Ⅱ) The content of total phosphorus was low , the con-tent of Fe and boron was high;Ⅲ) The content of organic matter was high;Ⅳ) The content |
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PublicationYear | 2013 |
Publisher | 吉林农业大学信息技术学院,吉林长春,130118%长春嘉和外科医院,吉林长春,130051 |
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Snippet | 为明确吉林省中北部土壤养分变化特征,充分了解土壤本身的特性,达到合理施肥的目的,本研究对55个耕层土壤(0~30... S158; 为明确吉林省中北部土壤养分变化特征,充分了解土壤本身的特性,达到合理施肥的目的,本研究对55个耕层土壤(0~30... |
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StartPage | 484 |
SubjectTerms | 主成分分析 土壤养分 地学统计学 空间变异 聚类分析 |
Title | 基于主成分分析和聚类分析的土壤养分特性研究 |
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