dc.contributor.author
Ouatahar, Latifa
dc.contributor.author
Amon, Barbara
dc.contributor.author
Amon, Thomas
dc.contributor.author
Zentek, Jürgen
dc.contributor.author
Deng, Jia
dc.contributor.author
Janke, David
dc.contributor.author
Hempel, Sabrina
dc.contributor.author
Beukes, Pierre
dc.contributor.author
van der Weerden, Tony
dc.date.accessioned
2025-02-13T09:44:32Z
dc.date.available
2025-02-13T09:44:32Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/46580
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-46294
dc.description.abstract
The assessment of greenhouse gases (GHG) and nitrogen (N) emissions is essential for climate change mitigation. The Intergovernmental Panel on Climate Change (IPCC) provides guidelines for GHG quantification at both national and global levels. However, the IPCC Tier 1 (T1) and Tier 2 (T2) estimates, mostly used in national inventories, rely on generic emission factors (EFs) and empirical equations that are not suitable for case-specific assessments on individual farms. Thus, a more advanced Tier 3 (T3) methodology is needed to reflect the impact of key factors on emissions and reveal the effect of emission mitigation measures. Here we compare the IPCC T1 and T2 estimates to results from a cascade of process-based (PB) models referred to as T3 approach, for farm-level emissions. The results showed that the estimates from PB models differ significantly from those of the IPCC T1 and T2 estimates and allow more capability to predict variation. Moreover, PB models account for temporal changes and the underlying mechanisms responsible for GHG and N emissions. These models can be adopted for case-specific GHG assessment and project future mitigation strategies under different climate scenarios, regional contexts and on-farm management. Additional to the known applicability of PB models to estimate enteric methane (CH4)and soil emissions, the present study demonstrates for the first time in Germany and Europe the effectiveness of Manure-DNDC model in simulating ammonia (NH3) and CH4 barn emissions, highlighting the potential for using PB models in case-specific GHG and N assessments for the whole manure management chain. Overall, this study presents options for a methodology in case-specific GHG assessment that can capture the effect of climate change and mitigation measures.
en
dc.format.extent
14 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Dairy cattle
en
dc.subject
Biogeochemical models
en
dc.subject
IPCC methodology
en
dc.subject
Model evaluation
en
dc.subject
Tier 3 approach
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::630 Landwirtschaft::630 Landwirtschaft und verwandte Bereiche
dc.title
An integral assessment of carbon and nitrogen emissions in dairy cattle production systems: Comparing dynamic process-based greenhouse gas emissions factors with IPCC Tier 1 and Tier 2 approaches in confinement and pasture-based systems
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
144479
dcterms.bibliographicCitation.doi
10.1016/j.jclepro.2024.144479
dcterms.bibliographicCitation.journaltitle
Journal of Cleaner Production
dcterms.bibliographicCitation.volume
486
dcterms.bibliographicCitation.url
https://doi.org/10.1016/j.jclepro.2024.144479
refubium.affiliation
Veterinärmedizin
refubium.affiliation.other
Institut für Tier- und Umwelthygiene

refubium.affiliation.other
Institut für Tierernährung

refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1879-1786
refubium.resourceType.provider
WoS-Alert