Sharpley Andrew, Kleinman Peter, Baffaut Claire, Beegle Doug, Bolster Carl, Collick Amy, Easton Zachary, Lory John, Nelson Nathan, Osmond Deanna, Radcliffe David, Veith Tamie, Weld Jennifer
J Environ Qual. 2017 Nov;46(6):1250-1256. doi: 10.2134/jeq2016.11.0427.
Critical source area identification through phosphorus (P) site assessment is a fundamental part of modern nutrient management planning in the United States, yet there has been only sparse testing of the many versions of the P Index that now exist. Each P site assessment tool was developed to be applicable across a range of field conditions found in a given geographic area, making evaluation extremely difficult. In general, evaluation with in-field monitoring data has been limited, focusing primarily on corroborating manure and fertilizer "source" factors. Thus, a multiregional effort (Chesapeake Bay, Heartland, and Southern States) was undertaken to evaluate P Indices using a combination of limited field data, as well as output from simulation models (i.e., Agricultural Policy Environmental eXtender, Annual P Loss Estimator, Soil and Water Assessment Tool [SWAT], and Texas Best Management Practice Evaluation Tool [TBET]) to compare against P Index ratings. These comparisons show promise for advancing the weighting and formulation of qualitative P Index components but require careful vetting of the simulation models. Differences among regional conclusions highlight model strengths and weaknesses. For example, the Southern States region found that, although models could simulate the effects of nutrient management on P runoff, they often more accurately predicted hydrology than total P loads. Furthermore, SWAT and TBET overpredicted particulate P and underpredicted dissolved P, resulting in correct total P predictions but for the wrong reasons. Experience in the United States supports expanded regional approaches to P site assessment, assuming closely coordinated efforts that engage science, policy, and implementation communities, but limited scientific validity exists for uniform national P site assessment tools at the present time.
通过磷(P)位点评估来识别关键源区是美国现代养分管理规划的基本组成部分,但目前对现有的多种版本的磷指数的测试还很稀少。每种磷位点评估工具都是为适用于特定地理区域内的一系列田间条件而开发的,这使得评估极其困难。一般来说,利用田间监测数据进行的评估有限,主要集中在证实粪便和肥料的“源”因素上。因此,开展了一项多区域工作(切萨皮克湾、中心地带和南部各州),使用有限的田间数据以及模拟模型(即农业政策环境扩展模型、年度磷流失估算器、土壤和水资源评估工具[SWAT]以及德克萨斯最佳管理实践评估工具[TBET])的输出结果来评估磷指数,以便与磷指数评级进行比较。这些比较显示出在推进定性磷指数成分的权重和制定方面的前景,但需要对模拟模型进行仔细审查。区域结论之间的差异突出了模型的优势和劣势。例如,南部各州地区发现,虽然模型可以模拟养分管理对磷径流的影响,但它们往往更准确地预测水文情况而非总磷负荷。此外,SWAT和TBET高估了颗粒态磷,低估了溶解态磷,导致总磷预测正确但原因错误。美国的经验支持扩大区域磷位点评估方法,前提是科学、政策和实施社区密切协调努力,但目前统一的国家磷位点评估工具的科学有效性有限。