Estimating soil water‐holding capacities by linking the Food and Agriculture Organization Soil map of the world with global pedon databases and continuous pedotransfer functions
Estimating soil water‐holding capacities by linking the Food and Agriculture Organization Soil map of the world with global pedon databases and continuous pedotransfer functions
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DOI：
10.1029/2000wr900130
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发表时间：
2000-12
影响因子：
5.4
通讯作者：
C. Reynolds;T. Jackson;W. Rawls
中科院分区：
文献类型：
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作者：
C. Reynolds;T. Jackson;W. Rawls
通过在全球土壤数据库中使用连续土壤转移函数(PTF)并将这些结果与数字土壤地图联系起来，估计了粮食及农业组织(FAO)世界数字土壤地图(SMW)的土壤空间持水能力。该程序首先通过统计分析和赋税转移深度算法估计粮农组织土壤单元的代表性土壤性质[粮食及农业组织(粮农组织)，1996年]。两层深度(0-30和30-100 cm)估算的代表性土壤性质包括粒度分布、主要土壤质地、有机碳含量、粗碎块、容重和孔隙度。在估算了FAO土壤单元的代表性土壤性质后，Rawls等人将这些值代入了三种不同的土壤迁移函数(PTF)模型。[1982]，Saxton等人。[1986]和Batjes[1996a]。最终选择Saxton PTF模型来计算有效水含量，因为它只需要颗粒分布数据，并且结果与同时使用颗粒分布和有机质数据的Rawls和Batjes PTF模型非常吻合。土壤持水能力的估算方法是将土壤有效水分乘以土层厚度，然后对有效作物根深为1米或更小(即遇到浅层不透水层)和另一土层深度为2.5米或更小的土层进行积分。
Spatial soil water‐holding capacities were estimated for the Food and Agriculture Organization (FAO) digital Soil Map of the World (SMW) by employing continuous pedotransfer functions (PTF) within global pedon databases and linking these results to the SMW. The procedure first estimated representative soil properties for the FAO soil units by statistical analyses and taxotransfer depth algorithms [Food and Agriculture Organization (FAO), 1996]. The representative soil properties estimated for two layers of depths (0–30 and 30–100 cm) included particle‐size distribution, dominant soil texture, organic carbon content, coarse fragments, bulk density, and porosity. After representative soil properties for the FAO soil units were estimated, these values were substituted into three different pedotransfer functions (PTF) models by Rawls et al. [1982], Saxton et al. [1986], and Batjes [1996a]. The Saxton PTF model was finally selected to calculate available water content because it only required particle‐size distribution data and results closely agreed with the Rawls and Batjes PTF models that used both particle‐size distribution and organic matter data. Soil water‐holding capacities were then estimated by multiplying the available water content by the soil layer thickness and integrating over an effective crop root depth of 1 m or less (i.e., encountered shallow impermeable layers) and another soil depth data layer of 2.5 m or less.