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茶叶科学 ›› 2008, Vol. 28 ›› Issue (1): 14-21.doi: 10.13305/j.cnki.jts.2008.01.008

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四川蒙顶山低山茶园土壤主要微量元素空间变异特征及影响因素研究

王永东1, 廖桂堂1, 李廷轩1,2,*, 张锡洲1, 黄平1,2   

  1. 1. 四川农业大学资源环境学院,四川 雅安 625014;
    2. 中国科学院南京土壤研究所,江苏 南京 210008
  • 收稿日期:2007-05-29 修回日期:2007-11-08 出版日期:2008-02-15 发布日期:2019-09-16
  • 通讯作者: *E-mail: ltx@sicau.edu.cn
  • 作者简介:王永东(1972— ),男,四川绵阳人,硕士,讲师,主要从事土地信息、土壤生态研究
  • 基金资助:
    国家自然科学基金(32230250); 四川省青年基金(06ZQ026-020); 四川省教育厅重点项目(2006A008); 四川省教育厅青年基金(2006B009); 四川农业大学科技创新基金(2005)

Studies on the Spatial Variability and Influencing Factors of Trace Elements in Sichuan Mengshan Montanic Tea Plantation Soils

WANG Yong-dong1, LIAO Gui-tang1, LI Ting-xuan1,2,*, ZHANG Xi-zhou1, HUANG Ping1,2   

  1. 1. College of Environmental and Resource Since, Sichuan Agriculture University, Ya’an 625014, China;
    2. Institute of Soil Science, Chinese Academy of Science, Nanjing 210008, China
  • Received:2007-05-29 Revised:2007-11-08 Online:2008-02-15 Published:2019-09-16

摘要: 亚热带低山区是我国茶园的主要分布区域,微量元素对茶叶的品质具有十分重要的影响,研究其空间变异特性是实现低山茶园精确管理的基础。利用地统计学、主成分分析方法对四川蒙顶山茶园土壤微量元素空间变异性、影响因素及多元素综合制图进行了研究。结果表明:(1)蒙顶山茶园土壤四种微量元素的空间变异具有相似性。四种元素均为指数模型,步长间距为120 m时变程为206~1 860 m,铁、锰和锌均具有中等程度的空间相关性[C0/(C0+C)值在25.1%~49.6%之间],锰和铜在NE111º方向上具有相似的各向异性特征,铁和锌则具有各向同性的趋势。(2)主成分综合制图较好地反映了微量元素分布的总体规律。两种主成分均具有较明确的物理意义,其插值图体现了微量元素特性沿坡面方向的带状变化特点,与半方差函数分析的结果完全吻合。(3)土壤条件对蒙顶山茶园土壤微量元素影响较大,而坡度是影响土壤微量元素空间分布形态的主要地形因素。

关键词: 空间变异, 地统计学, 微量元素, 茶园土壤

Abstract: The subtropical hill region is the main area where the tea plantations are distributed in Chian, Trace elements are very important to tea quality, Study on the spatial variability of trace elements in tea plantation soils is the foundation of precision agriculture. With the original data as basis, the spatial variability of trace elements of montanic tea plantation soil in Mengshan is studied with the aid of principal component analysis and geostatistics model. The result showed: (1) The spatial variability of four trace elements(Fe, Mn, Zn, Cu) in tea plantation soils are similar. All of the theoretical model of trace elements are exponential model, the range of spatial correlation is 206~1 860 m. The spatial correlation of Fe, Mn, Zn belong to medium levels [C0/(C0+C): 25.1%~49.6%], the spatial variability between Mn and Cu similar anisotropic characteristic in NE111º, Fe and Zn trends to isotropy. (2) Principal component of comprehensive cartography describe the distribution rule of trace elements in general. Maps of Kriged estimates with principal component showed that the characters of trace elements distributed in a belt shape across the Mengshan mountain, which are in accordance with the result of geostatistic analysis. (3)The mainly influencing factors of tea plantation soil in Mengshan are soil condition and slope.

Key words: spatial variability, geostatistics, trace elements, tea fields

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