Global manure nitrogen production and application in cropland during 1860–2014: a 5 arcmin gridded global dataset for Earth system modeling

Given the important role of nitrogen input from livestock systems in terrestrial nutrient cycles and the atmospheric chemical composition, it is vital to have a robust estimation of the magnitude and spatiotemporal variation in manure nitrogen production and its application to cropland across the...

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Main Authors: B. Zhang, H. Tian, C. Lu, S. R. S. Dangal, J. Yang, S. Pan
Format: Article
Language:English
Published: Copernicus Publications 2017-09-01
Series:Earth System Science Data
Online Access:https://www.earth-syst-sci-data.net/9/667/2017/essd-9-667-2017.pdf
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spelling doaj-c5fc9a25f3ea495bbcfbb7c6227c8d392020-11-24T22:35:59ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162017-09-01966767810.5194/essd-9-667-2017Global manure nitrogen production and application in cropland during 1860–2014: a 5 arcmin gridded global dataset for Earth system modelingB. Zhang0H. Tian1H. Tian2C. Lu3C. Lu4S. R. S. Dangal5J. Yang6S. Pan7S. Pan8International Center for Climate and Global Change Research, Auburn University, Auburn, AL 36849, USAInternational Center for Climate and Global Change Research, Auburn University, Auburn, AL 36849, USAState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, ChinaInternational Center for Climate and Global Change Research, Auburn University, Auburn, AL 36849, USADepartment of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50011, USAInternational Center for Climate and Global Change Research, Auburn University, Auburn, AL 36849, USAInternational Center for Climate and Global Change Research, Auburn University, Auburn, AL 36849, USAInternational Center for Climate and Global Change Research, Auburn University, Auburn, AL 36849, USAState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, ChinaGiven the important role of nitrogen input from livestock systems in terrestrial nutrient cycles and the atmospheric chemical composition, it is vital to have a robust estimation of the magnitude and spatiotemporal variation in manure nitrogen production and its application to cropland across the globe. In this study, we used the dataset from the Global Livestock Impact Mapping System (GLIMS) in conjunction with country-specific annual livestock populations to reconstruct the manure nitrogen production during 1860–2014. The estimated manure nitrogen production increased from 21.4 Tg N yr<sup>−1</sup> in 1860 to 131.0 Tg N yr<sup>−1</sup> in 2014 with a significant annual increasing trend (0.7 Tg N yr<sup>−1</sup>, <i>p</i> &lt; 0.01). Changes in manure nitrogen production exhibited high spatial variability and concentrated in several hotspots (e.g., Western Europe, India, northeastern China, and southeastern Australia) across the globe over the study period. In the 1860s, the northern midlatitude region was the largest manure producer, accounting for ∼ 52 % of the global total, while low-latitude regions became the largest share (∼ 48 %) in the most recent 5 years (2010–2014). Among all the continents, Asia accounted for over one-fourth of the global manure production during 1860–2014. Cattle dominated the manure nitrogen production and contributed ∼ 44 % of the total manure nitrogen production in 2014, followed by goats, sheep, swine, and chickens. The manure nitrogen application to cropland accounts for less than one-fifth of the total manure nitrogen production over the study period. The 5 arcmin gridded global dataset of manure nitrogen production generated from this study could be used as an input for global or regional land surface and ecosystem models to evaluate the impacts of manure nitrogen on key biogeochemical processes and water quality. To ensure food security and environmental sustainability, it is necessary to implement proper manure management practices on cropland across the globe. Datasets are available at <span style="" class="text"><a href="https://doi.org/10.1594/PANGAEA.871980" target="_blank">https://doi.org/10.1594/PANGAEA.871980</a></span> (Zhang et al., 2017).https://www.earth-syst-sci-data.net/9/667/2017/essd-9-667-2017.pdf
collection DOAJ
language English
format Article
sources DOAJ
author B. Zhang
H. Tian
H. Tian
C. Lu
C. Lu
S. R. S. Dangal
J. Yang
S. Pan
S. Pan
spellingShingle B. Zhang
H. Tian
H. Tian
C. Lu
C. Lu
S. R. S. Dangal
J. Yang
S. Pan
S. Pan
Global manure nitrogen production and application in cropland during 1860–2014: a 5 arcmin gridded global dataset for Earth system modeling
Earth System Science Data
author_facet B. Zhang
H. Tian
H. Tian
C. Lu
C. Lu
S. R. S. Dangal
J. Yang
S. Pan
S. Pan
author_sort B. Zhang
title Global manure nitrogen production and application in cropland during 1860–2014: a 5 arcmin gridded global dataset for Earth system modeling
title_short Global manure nitrogen production and application in cropland during 1860–2014: a 5 arcmin gridded global dataset for Earth system modeling
title_full Global manure nitrogen production and application in cropland during 1860–2014: a 5 arcmin gridded global dataset for Earth system modeling
title_fullStr Global manure nitrogen production and application in cropland during 1860–2014: a 5 arcmin gridded global dataset for Earth system modeling
title_full_unstemmed Global manure nitrogen production and application in cropland during 1860–2014: a 5 arcmin gridded global dataset for Earth system modeling
title_sort global manure nitrogen production and application in cropland during 1860–2014: a 5 arcmin gridded global dataset for earth system modeling
publisher Copernicus Publications
series Earth System Science Data
issn 1866-3508
1866-3516
publishDate 2017-09-01
description Given the important role of nitrogen input from livestock systems in terrestrial nutrient cycles and the atmospheric chemical composition, it is vital to have a robust estimation of the magnitude and spatiotemporal variation in manure nitrogen production and its application to cropland across the globe. In this study, we used the dataset from the Global Livestock Impact Mapping System (GLIMS) in conjunction with country-specific annual livestock populations to reconstruct the manure nitrogen production during 1860–2014. The estimated manure nitrogen production increased from 21.4 Tg N yr<sup>−1</sup> in 1860 to 131.0 Tg N yr<sup>−1</sup> in 2014 with a significant annual increasing trend (0.7 Tg N yr<sup>−1</sup>, <i>p</i> &lt; 0.01). Changes in manure nitrogen production exhibited high spatial variability and concentrated in several hotspots (e.g., Western Europe, India, northeastern China, and southeastern Australia) across the globe over the study period. In the 1860s, the northern midlatitude region was the largest manure producer, accounting for ∼ 52 % of the global total, while low-latitude regions became the largest share (∼ 48 %) in the most recent 5 years (2010–2014). Among all the continents, Asia accounted for over one-fourth of the global manure production during 1860–2014. Cattle dominated the manure nitrogen production and contributed ∼ 44 % of the total manure nitrogen production in 2014, followed by goats, sheep, swine, and chickens. The manure nitrogen application to cropland accounts for less than one-fifth of the total manure nitrogen production over the study period. The 5 arcmin gridded global dataset of manure nitrogen production generated from this study could be used as an input for global or regional land surface and ecosystem models to evaluate the impacts of manure nitrogen on key biogeochemical processes and water quality. To ensure food security and environmental sustainability, it is necessary to implement proper manure management practices on cropland across the globe. Datasets are available at <span style="" class="text"><a href="https://doi.org/10.1594/PANGAEA.871980" target="_blank">https://doi.org/10.1594/PANGAEA.871980</a></span> (Zhang et al., 2017).
url https://www.earth-syst-sci-data.net/9/667/2017/essd-9-667-2017.pdf
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