Review of the A nnual P hosphorus L oss E stimator tool - a new model for estimating phosphorus losses at the field scale
Review of the A nnual P hosphorus L oss E stimator tool - a new model for estimating phosphorus losses at the field scale
复制标题
年度磷损失 E 估算器工具的回顾 - 用于估算田间磷损失的新模型
DOI：
10.1111/sum.12128
复制
发表时间：
2014
影响因子：
3.8
通讯作者：
Benskin C
中科院分区：
文献类型：
--
作者：
Benskin C
估算从农田到地表水的磷流失的模型是土壤学家、集水区科学家和土地管理者使用的重要工具，有助于识别高风险地区并确定可以减少此类损失的措施。一种广泛使用的预测农田磷流失的方法是由LeMunyon和Gilbert[生产农业杂志(1993)，6,483-486]开发的磷指数(PI)工具，该工具需要相对基本的输入数据，并提供对农田磷流失风险的定性估计。PI提供了一个单一的数字得分，通常表示为一个风险因素，范围从“低”到“非常高”。在整个美国，全州范围内对原始PI的调整导致了截然不同的指数。为了缩小这些州际差异，美国农业部开发了年度磷损失估算器(APLE；Vadaset等人，Journal of Environmental Quality(2009)，38,1645-1653)工具，以提供更透明和定量(而不是定性)的颗粒态和溶解态磷的输出。这篇简短的综述将APLE工具中PI的最新体现与其他P管理指数进行了比较，并探索了模型内置方程中包含的各种特征和机会。
Models that estimate P‐loss from agricultural land to surface waters are important tools used by soil scientists, catchment scientists and land managers, to help identify high‐risk areas and determine measures that can reduce such losses. A widely used method for predicting P‐loss from agricultural land is the ‘Phosphorus Index’ (PI) tool, developed by Lemunyon and Gilbert [Journal of Production Agriculture(1993),6, 483–486], which requires relatively basic input data and provides a qualitative estimate of the risk of P‐loss from agricultural fields. The PI delivers a single numerical score, typically expressed as a risk factor ranging from ‘low’ to ‘very high’. Across the USA, state‐wide adaptations to the original PI resulted in widely differing indices. In an attempt to reduce these interstate discrepancies, the US Department for Agriculture developed the Annual Phosphorus Loss Estimator (APLE; Vadaset al.,Journal of Environmental Quality(2009),38, 1645–1653) tool to provide a more transparent and quantitative (rather than qualitative) output for both particulate and dissolved P fractions. This short review compares the latest incarnation of the PI in the APLE tool with other P management indices and explores the various features and opportunities included in the model's inbuilt equations.