Vadas P A, Kleinman P J A, Sharpley A N, Turner B L
USDA-ARS, Pasture Systems and Watershed Management Research Unit, Building 3702, Curtin Road, University Park, PA 16802-3702, USA.
J Environ Qual. 2005 Mar-Apr;34(2):572-80. doi: 10.2134/jeq2005.0572.
Phosphorus transport from agricultural soils contributes to eutrophication of fresh waters. Computer modeling can help identify agricultural areas with high potential P transport. Most models use a constant extraction coefficient (i.e., the slope of the linear regression between filterable reactive phosphorus [FRP] in runoff and soil P) to predict dissolved P release from soil to runoff, yet it is unclear how variations in soil properties, management practices, or hydrology affect extraction coefficients. We investigated published data from 17 studies that determined extraction coefficients using Mehlich-3 or Bray-1 soil P (mg kg(-1)), water-extractable soil P (mg kg(-1)), or soil P sorption saturation (%) as determined by ammonium oxalate extraction. Studies represented 31 soils with a variety of management conditions. Extraction coefficients from Mehlich-3 or Bray-1 soil P were not significantly different for 26 of 31 soils, with values ranging from 1.2 to 3.0. Extraction coefficients from water-extractable soil P were not significantly different for 17 of 20 soils, with values ranging from 6.0 to 18.3. The relationship between soil P sorption saturation and runoff FRP (microg L(-1)) was the same for all 10 soils investigated, exhibiting a split-line relationship where runoff FRP rapidly increased at P sorption saturation values greater than 12.5%. Overall, a single extraction coefficient (2.0 for Mehlich-3 P data, 11.2 for water-extractable P data, and a split-line relationship for P sorption saturation data) could be used in water quality models to approximate dissolved P release from soil to runoff for the majority of soil, hydrologic, or management conditions. A test for soil P sorption saturation may provide the most universal approximation, but only for noncalcareous soils.
农业土壤中的磷素迁移会导致淡水富营养化。计算机建模有助于识别具有高磷素迁移潜力的农业区域。大多数模型使用恒定的提取系数(即径流中可过滤活性磷[FRP]与土壤磷之间线性回归的斜率)来预测土壤中溶解态磷向径流的释放,但尚不清楚土壤性质、管理措施或水文条件的变化如何影响提取系数。我们研究了17项研究中的已发表数据,这些研究使用Mehlich-3或Bray-1土壤磷(mg kg⁻¹)、水可提取土壤磷(mg kg⁻¹)或通过草酸铵提取测定的土壤磷吸附饱和度(%)来确定提取系数。这些研究涵盖了3种具有不同管理条件的土壤。31种土壤中有26种土壤,来自Mehlich-3或Bray-1土壤磷的提取系数没有显著差异,取值范围为1.2至3.0。20种土壤中有17种土壤,来自水可提取土壤磷的提取系数没有显著差异,取值范围为6.0至18.3。在所研究的所有10种土壤中,土壤磷吸附饱和度与径流FRP(μg L⁻¹)之间的关系相同,呈现出一种分段线性关系,即当磷吸附饱和度值大于12.5%时,径流FRP迅速增加。总体而言,单一的提取系数(Mehlich-3磷数据为2.0,水可提取磷数据为11.2,磷吸附饱和度数据为分段线性关系)可用于水质模型,以近似大多数土壤、水文或管理条件下土壤中溶解态磷向径流的释放。土壤磷吸附饱和度测试可能提供最通用的近似值,但仅适用于非石灰性土壤。