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[中国南方喀斯特峰丛洼地小流域表层土壤矿物成分的空间异质性]

[Spatial heterogeneity of surface soil mineral components in a small catchment in Karst peak-cluster depression area, South China].

作者信息

Gao Peng, Fu Tong-Gang, Wang Ke-Lin, Chen Hong-Song, Zeng Fu-Ping

机构信息

Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China.

出版信息

Ying Yong Sheng Tai Xue Bao. 2013 Nov;24(11):3179-84.

Abstract

A total of 163 soil samples (0-20 cm layer) were collected from the grid sampling plots (80 m x 80 m) in Huanjiang Observation and Research Station of Karst Ecosystem in a small catchment in Karst cluster-peak depression area, South China. By using classical statistics and geostatistics, the spatial heterogeneity of mineral components (SiO2, Fe2O3, CaO, MgO, Al2O3, MnO, and TiO2) in the soils were studied. The contents of the seven soil mineral components in the study area differed greatly, being in the order of SiO2 > Al2O3 > CaO > MgO > Fe2O3 > TiO2 > MnO, and the variance coefficients also varied obviously, in the order of CaO > MgO > Fe2O3 > TiO2 > SiO2 > Al2O3 > MnO. The seven mineral components accounted for 69.4% of the total soil mass. The spatial patterns and the fittest models of the seven soil mineral components differed from each other. All the seven soil mineral components had a strong spatial autocorrelation, with shorter variation ranges and stronger spatial dependence. The Kriging contour maps indicated that the distribution patterns of soil SiO2, Fe2O3, Al2O3, MnO, and TiO2 were similar, being higher in south and east, lower in north and west, higher in depression, and lower in slope, while the distribution patterns of soil CaO and MgO were in adverse. Natural conditions (vegetation, bare rock rate, slope degree, and slope aspect, etc. ) and human disturbance were the most important factors affecting the spatial patterns of the soil mineral components.

摘要

在中国南方喀斯特峰丛洼地地区的一个小流域内,从环江喀斯特生态系统观测研究站的网格采样区(80米×80米)采集了总共163个土壤样本(0 - 20厘米土层)。运用经典统计学和地统计学方法,研究了土壤中矿物成分(二氧化硅、三氧化二铁、氧化钙、氧化镁、三氧化二铝、二氧化锰和二氧化钛)的空间异质性。研究区域内七种土壤矿物成分的含量差异很大,顺序为二氧化硅>三氧化二铝>氧化钙>氧化镁>三氧化二铁>二氧化钛>二氧化锰,变异系数也明显不同,顺序为氧化钙>氧化镁>三氧化二铁>二氧化钛>二氧化硅>三氧化二铝>二氧化锰。这七种矿物成分占土壤总质量的69.4%。七种土壤矿物成分的空间格局和最优模型各不相同。所有七种土壤矿物成分都具有很强的空间自相关性,变异范围较短且空间依赖性较强。克里金等值线图表明,土壤二氧化硅、三氧化二铁、三氧化二铝、二氧化锰和二氧化钛的分布格局相似,南部和东部较高,北部和西部较低,洼地较高,斜坡较低,而土壤氧化钙和氧化镁的分布格局则相反。自然条件(植被、裸岩率、坡度和坡向等)和人为干扰是影响土壤矿物成分空间格局的最重要因素。

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