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Effects of environmental and housing system factors on ammonia and greenhouse gas emissions from cattle barns: A meta-analysis of a global data collation

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posted on 2024-03-25, 00:41 authored by Gültac Çinar, Federico Dragoni, Christian Ammon, Vitaly Belik, Tony van der WeerdenTony van der Weerden, Alasdair NobleAlasdair Noble, Mélynda Hassouna, Barbara Amon

This study provides a meta-analysis on the relationships between cattle barn CH4, NH3 and N2O emission rates and their key drivers (i.e., housing type, floor type, environmental conditions). Understanding these relationships is essential to reduce uncertainties in emission inventories and suggest targeted mitigation measures. The total number of daily emission rates included in the analysis was 139 for CH4, 293 for NH3 and 100 for N2O emissions. Emission rates in the database showed a large variation with 45–803.5 g/LU d−1 for CH4, 0.036–146.7 gN LU−1 d−1 for NH3, and 0.002–18 gN LU−1 d−1 for N2O emissions. Despite the high emission variability, significant effects were identified·NH3 showed positive correlation with air temperature; NH3 emissions differed between housing types but not between floor types·NH3 emissions from tied stalls were lower than the ones from cubicle housing regardless of the floor type. Additionally, NH3 emissions from loose housings were lower than the ones from cubicle housing·NH3 and N2O emission rates from temperate wet zones were lower than the ones from temperate dry zones. CH4 emission rates were affected by environmental factors only and not by housing and floor type, showing negative correlation with air temperature and humidity. The factors investigated can be suggested as ancillary variables and descriptors when cattle barn emissions are measured, in order to make best use of emission data. Country-specific data of these key drivers can be included into national inventories to adapt them to different agroecosystems and support targeted policies.

Funding

Livestock Research Group of the Global Research Alliance (GRA)

History

Rights statement

© 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).

Publication date

2023-09-14

Project number

  • PRJ0245893

Language

  • English

Does this contain Māori information or data?

  • No

Publisher

Elsevier

Journal title

Waste Management

Volume/issue number

172

Page numbers

60-70

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