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环境指标评估农业氮素扩散损失风险。

Environmental indicators to assess the risk of diffuse Nitrogen losses from agriculture.

机构信息

University Rostock, Justus-von-Liebig-Weg 6, Rostock, Germany.

出版信息

Environ Manage. 2010 May;45(5):1201-22. doi: 10.1007/s00267-010-9448-8. Epub 2010 Mar 20.

Abstract

Diffuse Nitrogen (N) loss from agriculture is a major factor contributing to increased concentrations of nitrate in surface and groundwater, and of N(2)O and NH(3) in the atmosphere. Different approaches to assess diffuse N losses from agriculture have been proposed, among other direct measurements of N loads in leachate and groundwater, and physically-based modelling. However, both these approaches have serious drawbacks and are awkward to use at a routine base. N loss indicators (NLIs) are environmental management tools for assessing the risk of diffuse N losses from agricultural fields. They range in complexity from simple proxy variables to elaborate systems of algebraic equations. Here we present an overview of NLIs developed in different parts of the world. NLIs can be categorized into source-based, transport-based, and composite approaches. Several issues demand more attention in future studies. (1) Is incorporation of leaching losses and gaseous losses into one single NLI warranted? (2) Is it sufficient to restrict the focus on the rooted soil zone without considering the vadose zone and aquifer? (3) Calibration and validation of NLIs using field data of N loss seems not sufficient. Comparisons of several different NLIs with each other needs more attention; however, the different scaling of NLIs impedes comparability. (4) Sensitivity of input parameters with regard to the final NLI output needs more attention in future studies. (5) For environmental management purposes, factors addressing management decision by farmers deserve more attention.

摘要

农业的弥散性氮(N)损失是导致地表水和地下水中硝酸盐浓度增加、大气中 N2O 和 NH3 浓度增加的主要因素。已经提出了多种评估农业弥散性 N 损失的方法,包括渗滤液和地下水 N 负荷的直接测量以及基于物理的建模。然而,这两种方法都存在严重的缺陷,并且在常规基础上使用起来很麻烦。N 损失指标(NLIs)是用于评估农业领域弥散性 N 损失风险的环境管理工具。它们的复杂程度从简单的代理变量到复杂的代数方程系统不等。在这里,我们概述了世界各地开发的 NLIs。NLIs 可以分为基于源的、基于传输的和综合方法。未来的研究需要关注几个问题。(1)将淋溶损失和气体损失纳入单个 NLI 是否合理?(2)是否足以将重点限制在扎根土壤区而不考虑包气带和含水层?(3)使用 N 损失的田间数据对 NLIs 进行校准和验证似乎还不够。需要更多关注比较几种不同的 NLIs 彼此之间的差异;然而,NLIs 的不同缩放阻碍了可比性。(4)在未来的研究中,需要更多关注输入参数对最终 NLI 输出的敏感性。(5)为了进行环境管理,需要更多关注农民管理决策的因素。

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