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DATAMAN: A global database of nitrous oxide and ammonia emission factors for excreta deposited by livestock and land-applied manure

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DOI

  • Ignacio Beltran, Instituto de Investigaciones Agropecuarias, AgResearch
  • ,
  • Tony J. van der Weerden, AgResearch
  • ,
  • Marta A. Alfaro, Instituto de Investigaciones Agropecuarias
  • ,
  • Barbara Amon, Leibniz Institute for Agricultural Engineering and Bioeconomy, University of Zielona Gora
  • ,
  • Cecile A.M. de Klein, AgResearch
  • ,
  • Peter Grace, Queensland University of Technology
  • ,
  • Sasha Hafner
  • Mélynda Hassouna, INRAE
  • ,
  • Nicholas Hutchings
  • Dominika J. Krol, Teagasc
  • ,
  • April B. Leytem, United States Department of Agriculture
  • ,
  • Alasdair Noble, AgResearch
  • ,
  • Francisco Salazar, Instituto de Investigaciones Agropecuarias
  • ,
  • Rachel E. Thorman, ADAS
  • ,
  • Gerard L. Velthof, Wageningen University & Research

Nitrous oxide (N2O), ammonia (NH3), and methane (CH4) emissions from the manure management chain of livestock production systems are important contributors to greenhouse gases (GHGs) and NH3 emitted by human activities. Several studies have evaluated manure-related emissions and associated key variables at regional, national, or continental scales. However, there have been few studies focusing on the drivers of these emissions using a global dataset. An international project was created (DATAMAN) to develop a global database on GHG and NH3 emissions from the manure management chain (housing, storage, and field) to identify key variables influencing emissions and ultimately to refine emission factors (EFs) for future national GHG inventories and NH3 emission reporting. This paper describes the “field” database that focuses on N2O and NH3 EFs from land-applied manure and excreta deposited by grazing livestock. We collated relevant information (EFs, manure characteristics, soil properties, and climatic conditions) from published peer-reviewed research, conference papers, and existing databases. The database, containing 5,632 observations compiled from 184 studies, was relatively evenly split between N2O and NH3 (56 and 44% of the EF values, respectively). The N2O data were derived from studies conducted in 21 countries on five continents, with New Zealand, the United Kingdom, Kenya, and Brazil representing 86% of the data. The NH3 data originated from studies conducted in 17 countries on four continents, with the United Kingdom, Denmark, Canada, and The Netherlands representing 79% of the data. Wet temperate climates represented 90% of the total database. The DATAMAN field database is available at http://www.dataman.co.nz.

Original languageEnglish
JournalJournal of Environmental Quality
Volume50
Issue2
Pages (from-to)513-527
Number of pages15
ISSN0047-2425
DOIs
Publication statusPublished - Mar 2021

Bibliographical note

Publisher Copyright:
© 2020 The Authors. Journal of Environmental Quality published by Wiley Periodicals LLC on behalf of American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

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