Literature DB >> 23631661

Estimating net anthropogenic nitrogen inputs to U.S. watersheds: comparison of methodologies.

Bongghi Hong1, Dennis P Swaney, Robert W Howarth.   

Abstract

The net anthropogenic nitrogen input (NANI) approach is a simple quasi-mass-balance that estimates the human-induced nitrogen inputs to a watershed. Across a wide range of watersheds, NANI has been shown to be a good predictor of riverine nitrogen export. In this paper, we review various methodologies proposed for NANI estimation since its first introduction and evaluate alternative calculations suggested by previous literature. Our work is the first study in which a consistent NANI calculation method is applied across the U.S. watersheds and tested against available riverine N flux estimates. Among the tested methodologies, yield-based estimation of agricultural N fixation (instead of crop area-based) made the largest difference, especially in some Mississippi watersheds where the tile drainage was a significant factor reducing watershed N retention. Across the U.S. watersheds, NANI was particularly sensitive to farm N fertilizer application, cattle N consumption, N fixation by soybeans and alfalfa, and N yield by corn, soybeans, and pasture, although their relative importance varied among different regions.

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Year:  2013        PMID: 23631661     DOI: 10.1021/es303437c

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  10 in total

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8.  Nitrogen legacies in anthropogenic landscapes: a case study in the Mondego Basin in Portugal.

Authors:  João Marques; Joy Liu; Maria C Cunha; Kimberly J Van Meter; Nandita B Basu
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9.  County, subregional and regional nitrogen data derived from the Net Anthropogenic Nitrogen Inputs (NANI) toolbox.

Authors:  Dennis P Swaney; Robert W Howarth; Bongghi Hong
Journal:  Data Brief       Date:  2018-05-02

10.  Temporal and spatial variations of net anthropogenic nitrogen inputs (NANI) in the Pearl River Basin of China from 1986 to 2015.

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  10 in total

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