孙聪, 徐新文, 范敬龙, 李生宇, 孙旭伟. 塔中沙漠植物园土壤水盐空间变异性及合理取样数研究[J]. 中国生态农业学报(中英文), 2010, 18(3): 514-520. DOI: 10.3724/SP.J.1011.2010.00514
引用本文: 孙聪, 徐新文, 范敬龙, 李生宇, 孙旭伟. 塔中沙漠植物园土壤水盐空间变异性及合理取样数研究[J]. 中国生态农业学报(中英文), 2010, 18(3): 514-520. DOI: 10.3724/SP.J.1011.2010.00514
SUN Cong, XU Xin-Wen, FAN Jing-Long, LI Sheng-Yu, SUN Xu-Wei. Spatial variability and rational sample number of soil water and salt in the Central Taklimakan Desert Botanical Garden[J]. Chinese Journal of Eco-Agriculture, 2010, 18(3): 514-520. DOI: 10.3724/SP.J.1011.2010.00514
Citation: SUN Cong, XU Xin-Wen, FAN Jing-Long, LI Sheng-Yu, SUN Xu-Wei. Spatial variability and rational sample number of soil water and salt in the Central Taklimakan Desert Botanical Garden[J]. Chinese Journal of Eco-Agriculture, 2010, 18(3): 514-520. DOI: 10.3724/SP.J.1011.2010.00514

塔中沙漠植物园土壤水盐空间变异性及合理取样数研究

Spatial variability and rational sample number of soil water and salt in the Central Taklimakan Desert Botanical Garden

  • 摘要: 本研究运用经典统计学和地质统计学方法, 分析了塔中沙漠植物园内下层根系土壤水盐的空间变异特性, 结果表明: 塔中沙漠植物园下层根系的土壤水盐分布具有中等空间变异性, 80 cm、100 cm、120 cm、140 cm土层土壤水分变异系数分别为44.16%、41.30%、45.53%、55.44%, 盐分变异系数为41.51%、34.00%、42.28%、30.52%。各层土壤质量含水量分别满足指数、高斯、指数和线性模型, 土壤电导率变异函数的最佳理论模型分别为球状、球状、线性和线性模型。结合经典统计学和土壤水盐变程及空间分布图, 选取并定位了85个土壤剖面监测塔中植物园下层根系的土壤水盐含量。通过结合监测取样容量和土壤水盐分布的空间特性制定出塔中沙漠植物园下层根系土壤水盐变化的监测方案, 为塔中植物园的持久性发展提供科学依据。

     

    Abstract: This study by using typical statistical and geostatistical methods analyzed spatial variation characteristics of water and salt in soil of lower root zones in the Central Taklimakan Desert Botanical Garden. The results show a medium spatial variability of soil water and salt distribution in the lower root zones in the garden. The coefficients of variation of water in the 80 cm, 100 cm, 120 cm and 140 cm soil depths are respectively 44.16%, 41.30%, 45.53% and 55.44%. Also, the coefficients of variation of salt in the respective soil layers are 41.51%, 34.00%, 42.28% and 30.52%. Soil water content in the respective layers satisfies the exponential, Gaussian, exponential and linear models. Soil electrical conductivity meets spherical, spherical, linear and linear models in respective layers. A good monitoring alternative is formulated in the garden for soil water and salt of the lower root zones, in which 85 soil profiles are orientated by taking into account of the typical statistic theory, range and isograms of soil water and salt of the lower soil root zone. Given the need for long-time development of the Central Taklimakan Desert Botanical Garden, this study advances reasonable strategies for the monitor of lower soil root zone water and salt conditions. This has significant implications for optimizing irrigating systems for the sustainability of artificial forests in desert hinterlands.

     

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