广东省典型赤红壤区耕层土壤养分的空间变异

廖琪; 胡月明; 胡小飞; 赵锦玉; 王璐

doi:10.13961/j.cnki.stbctb.2015.06.055

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广东省典型赤红壤区耕层土壤养分的空间变异

试验研究

- 广东省典型赤红壤区耕层土壤养分的空间变异
- Spatial Variability of Topsoil Nutrients in Typical Lateritic Red Soil Areas of Guangdong Province
- 水土保持通报 2015年35卷第6期页码：322-328
- 作者机构：
  
  1. 华南农业大学资源环境学院,广东,广州,510642
  2. 广东省土地利用与整治重点实验室,广东,广州,510642
  3. 青海大学农牧学院,青海,西宁,810016
  4. 广东友元国土信息工程有限公司,广东,广州,510642
- 作者简介：
- 基金信息：
  
  国土资源部公益性行业科研专项"面向现代循环农业的用地效益提升关键技术"(20131100403)
- DOI：10.13961/j.cnki.stbctb.2015.06.055
  中图分类号：
- 纸质出版：2015
- 稿件说明：
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廖琪, 胡月明, 胡小飞, 等. 广东省典型赤红壤区耕层土壤养分的空间变异[J]. 水土保持通报, 2015,35(6):322-328.

LIAO Qi, HU Yueming, HU Xiaofei, et al. Spatial Variability of Topsoil Nutrients in Typical Lateritic Red Soil Areas of Guangdong Province[J]. Bulletin of Soiland Water Conservation, 2015, 35(6): 322-328.
廖琪, 胡月明, 胡小飞, 等. 广东省典型赤红壤区耕层土壤养分的空间变异[J]. 水土保持通报, 2015,35(6):322-328. DOI： 10.13961/j.cnki.stbctb.2015.06.055.

LIAO Qi, HU Yueming, HU Xiaofei, et al. Spatial Variability of Topsoil Nutrients in Typical Lateritic Red Soil Areas of Guangdong Province[J]. Bulletin of Soiland Water Conservation, 2015, 35(6): 322-328. DOI： 10.13961/j.cnki.stbctb.2015.06.055.

摘要

[目的] 探讨我国典型赤红壤区——广州市增城区耕层土壤有机质、全氮、有效磷和速效钾含量的空间变异规律

为赤红壤区耕层种植的平衡施肥、水土保持和环境保护提供依据。[方法] 利用地统计学方法和地理信息系统技术。[结果] 研究区耕层土壤有效磷的含量较高

速效钾的变异系数最大(107.78%)

有机质的变异系数最小(32.51%)

变异系数由大到小依次为:速效钾>有效磷>全氮>有机质;有机质、全氮具有强烈的各向同性空间自相关性

有效磷与速效钾有着较明显的各向异性空间自相关性;有机质、全氮有着相似的空间分布规律

含量呈东南部高西北低的趋势

有效磷含量处于中上偏高水平

空间分布从北向南呈逐步增多趋势

速效钾空间分布相对比较复杂

各个养分级别都有一定量的分布

总体由北到南逐渐增多。[结论] 在一定空间范围内

耕层土壤有机质、全氮、有效磷和速效钾具有不同强度的空间相关性

且选取合适的方向性半方差函数模型能更好地拟合其空间变异情况。

Abstract

[Objective]The spatial variabilities and spatial distribution patterns of topsoil organic matter(SOM)

total nitrogen(TN)

available phosphorus(P) and available potassium(K) in Zengchen District of Guangzhou City were analyzed in order to provide some hints on how to improve fertilizer use efficiency and to prevent water and soil pollution in analogous area with lateritic red soil.[Method] Geostatistic and GIS methods are used in this study.[Result] The results showed that P content is high overall in the district. The maximum coefficient of spatial variation comes with K

up to 107.78%; whereas the minimum nutrient is SOM

about 32.51%. Coefficients of variation have a rank of K >P >TN >SOM. SOM and total N have distinct spatially isotropy auto-correlations; On the contrary

available P and K behave obvious anisotropy auto-correlations. The contents of SOM and TN are higher in the southeast and northwest

but lower in the central; P content of the district increases from north to south gradually. A general increase from north to south displays for the spatial distribution of K content

but it seems to be more complicated.[Conclusion] If observed within a certain space

topsoil SOM

P and K have their different spatial correlations

upon which

a suitable directional semi-variance function model need to be find out to describe their spatial variabilities better.

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references

马媛,龚新梅,塔西甫拉提·特依拜,等.干旱区典型流域土壤肥力空间变异特征[J].生态学杂志,2006,25(10):1208-1213.

Weindorf D C, Zhu Y. Spatial Variability of Soil Properties at Capulin Volcano, New Mexico, USA:Implications for Sampling Strategy[J]. Pedosphere, 2010,20(2):185-197.

Haefele S M, Wopereis M C S. Spatial variability of indigenous supplies for N, P and K and its impact on fertilizer strategies for irrigated rice in West Africa[J]. Plant and Soil, 2005,270(1):57-72.

刘序,李华兴,胡月明,等.大尺度下广东赤红壤全钾含量与地形因子相关分析[J].土壤通报,2010,41(4):886-891.

钟继洪,郭庆荣,谭军.南亚热带丘陵赤红壤理化性质变化及其原因[J].地理研究,2004,23(3):312-320.

刘序,胡月明,李华兴,等.基于DEM的广东省赤红壤全氮含量与地形特征相关分析[J].华南农业大学学报,2010,31(1):17-21.

冯宏,郭彦彪,韦翔华,等.赤红壤丘陵坡地不同侵蚀部位土壤养分和微生物特征变异性研究[J].水土保持学报,2008,22(6):149-152.

广东省土壤普查办公室.广东土壤[M].北京:科学出版社,1993.

林新坚,章明清,林琼,等.不同施肥模式对赤红壤旱地作物产量和土壤肥力的影响[J].中国土壤与肥料,2011(5):27-31.

Cho S E. Effects of spatial variability of soil properties on slope stability[J]. Engineering Geology, 2007,92(3/4):97-109.

Chen Fusheng, Zeng Dehui, He Xingyuan. Small-scale spatial variability of soil nutrients and vegetation properties in semi-arid northern China[J]. PEDOSPHERE,2006,16(6):778-787.

Tesfahunegn G B, Tamene L, Vlek P L G. Catchment-scale spatial variability of soil properties and implications on site-specific soil management in northern Ethiopia[J]. Soil and Tillage Research, 2011,117(0):124-139.

Wei Yichang, Bbi Youlu, Jin Jiyun, et al. Spatial variability of soil chemical properties in the reclaiming marine foreland to Yellow Sea of China[J]. Agricultural Sciences in China, 2009,8(9):1103-1111.

杨帆,章光新,尹雄锐,等.松嫩平原西部土壤盐碱化空间变异与微地形关系研究[J].地理科学,2009,29(6):869-873.

唐发静,祖艳群.土壤重金属空间变异的研究方法[J].云南农业大学学报:自然科学版,2008,23(4):558-561.

甘海华,彭凌云,卢瑛,等.广东新会地区耕地土壤肥力指标的时空变异性[J].应用生态学报,2007,18(7):1464-1470.

史舟,李艳.地统计学在土壤学中的应用[M].北京:中国农业出版社,2006.

朱红霞,陈效民,杜臻杰.基于地统计学的土壤氮素与pH的空间变异性研究[J].土壤通报,2010,41(5):1086-1090.

赵倩倩,赵庚星,董超,等.高密市农田土壤养分空间变异特征研究[J].土壤通报,2012,43(3):643-650.

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