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dc.contributor.author
Ogle, Stephen M.  
dc.contributor.author
Smith, Pete  
dc.contributor.author
Tubiello, Francesco N.  
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Archibeque, Shawn  
dc.contributor.author
Taboada, Miguel Angel  
dc.contributor.author
Campbell, Donovan  
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Nevison, Cynthia  
dc.contributor.other
Poulter, Benjamin  
dc.contributor.other
Canadell, Joseph  
dc.contributor.other
Hayes, Daniel  
dc.contributor.other
Thompson, Rona L.  
dc.date.available
2023-04-03T11:47:51Z  
dc.date.issued
2022  
dc.identifier.citation
Ogle, Stephen M.; Smith, Pete; Tubiello, Francesco N. ; Archibeque, Shawn; Taboada, Miguel Angel; et al.; Agricultural Systems; Elsevier; 2022; 375-402  
dc.identifier.isbn
9780128149522  
dc.identifier.uri
http://hdl.handle.net/11336/192430  
dc.description.abstract
Future GHG emissions from agricultural systems will largely depend on landuse and management, livestock management, and management of supply chainsfor agricultural commodities. Accurate estimation of GHG emissions inregional inventories is needed to monitor and track progress in reducing theanthropogenic impact of agriculture on the climate system. Bottom-up inventoriesprovide the basis for monitoring GHG emissions at regional scales,and may be based on measurements, modeling, or some combination of thetwo methods (Ogle et al., 2019; Paustian et al., 2006). Inventories may beimproved with more complete datasets on management practices, in additionto improved models with a better understanding of the processes driving emissionsthat are developed with more rigorous parameterization methods. In addition,top-down inversion modeling may be used to verify GHG emissions atregional scales where agriculture is the dominant land use influencing emissions(Henne et al., 2016; Nevison et al., 2018; Ogle et al., 2015), and it couldpotentially provide a constraint on GHG inventories in the future.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
agricultural systems  
dc.subject
GHG emissions  
dc.subject.classification
Otras Ciencias de la Tierra y relacionadas con el Medio Ambiente  
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Agricultural Systems  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/bookPart  
dc.type
info:ar-repo/semantics/parte de libro  
dc.date.updated
2023-03-30T23:30:52Z  
dc.journal.pagination
375-402  
dc.journal.pais
Países Bajos  
dc.description.fil
Fil: Ogle, Stephen M.. Natural Resource Ecology Laboratory and Department of Ecosystem Science and Sustainability; Estados Unidos  
dc.description.fil
Fil: Smith, Pete. University of Aberdeen; Reino Unido  
dc.description.fil
Fil: Tubiello, Francesco N.. Food and Agriculture Organization of the United Nations; Italia  
dc.description.fil
Fil: Archibeque, Shawn. University of Colorado; Estados Unidos  
dc.description.fil
Fil: Taboada, Miguel Angel. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Suelos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Campbell, Donovan. The University of the West Indies; Jamaica  
dc.description.fil
Fil: Nevison, Cynthia. University of Colorado; Estados Unidos  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/book/9780128149522/balancing-greenhouse-gas-budgets  
dc.conicet.paginas
530  
dc.source.titulo
Balancing Greenhouse Gas Budgets Accounting for Natural and Anthropogenic Flows of CO2 and other Trace Gases