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林业资源管理 ›› 2015, Vol. 0 ›› Issue (4): 84-91.doi: 10.13466/j.cnki.lyzygl.2015.04.015

• 科学研究 • 上一篇    下一篇

基于物元模型的青海省林地土壤养分评价

赵串串, 崔婷   

  1. 陕西科技大学 资源与环境学院,西安 710021
  • 出版日期:2015-08-28 发布日期:2020-12-01
  • 作者简介:赵串串(1976-),女,副教授,硕士,研究方向区域生态环境与水土保持研究。Email:sxkjdxzcc@126.com
  • 基金资助:
    青海省公益林监测横向项目

Evaluation of the Forest Soil Nutrient Based on Element-Matter Model in Qinghai

ZHAO Chuanchuan, CUI Ting   

  1. College of Resources and Environment,Shaanxi University of Science and Technology,Xi'an 710021,China
  • Online:2015-08-28 Published:2020-12-01

摘要: 为客观地评价青海省林地土壤养分,选择有机质、全氮、全磷、全钾、速效氮、速效磷与速效钾为评价指标,通过野外调查采样和室内分析测量获得土壤养分数据,将偏相关法与物元分析结合构建模型,对青海省72个样地开展林地土壤养分评价。结果表明,青海省林地整体土壤养分状况良好,等级分布主要集中在三级水平以上;单项评价指标除速效磷含量极贫乏,其余指标均含量丰富;各地区中西宁市养分状况最好,海西最差,其余地区较好;海西地区有机质与氮素等级低,导致地区整体养分差,表明有机质与氮素是影响整体土壤养分的主要因素。

关键词: 物元模型, 偏相关分析, 青海, 土壤养分评价

Abstract: Soil organic matter,total nitrogen,total phosphorus,total potassium,available nitrogen,available phosphorus,available potassium were chosen as the evaluation indexes,and the soil nutrients data obtained by means of field investigation,sampling and laboratory analysis.Based on the data,the forest soil nutrients evaluation for 72 samples in Qinghai province was carried out by building the model combined with partial correlation method and element-matter analysis.The results indicated that the situation of the forest soil nutrients in Qinghai province was in good condition,and the level distribution mainly concentrated above 3rd level.In addition,the available phosphorus content was so poor among the seven indexes,the contents of other indexes were all abundant.The situation of soil nutrients in Xining and Haixi was the best and the worst respectively,and other districts were better.The lower level of organic matter and nitrogen led to worst soil nutrient condition in Haixi,which manifested what the organic matter and nitrogen were the mainly influencing factors for the whole soil nutrients.

Key words: element-matter analysis, partial correlation, Qinghai, soil nutrients evaluation

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