Does agroecosystem model improvement increase simulation accuracy for agricultural N2O emissions?

Zhang, Y Yu, Q

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Field	Value	Language
dc.contributor.author	Zhang, Y
dc.contributor.author	Yu, Q https://orcid.org/0000-0001-6950-1821
dc.date.accessioned	2022-01-30T00:59:58Z
dc.date.available	2022-01-30T00:59:58Z
dc.date.issued	2021-02-15
dc.identifier.citation	AGRICULTURAL AND FOREST METEOROLOGY, 2021, 297
dc.identifier.issn	0168-1923
dc.identifier.issn	1873-2240
dc.identifier.uri	http://hdl.handle.net/10453/153822
dc.language	English
dc.publisher	ELSEVIER
dc.relation.ispartof	AGRICULTURAL AND FOREST METEOROLOGY
dc.relation.isbasedon	10.1016/j.agrformet.2020.108281
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	04 Earth Sciences, 06 Biological Sciences, 07 Agricultural and Veterinary Sciences
dc.subject.classification	Meteorology & Atmospheric Sciences
dc.title	Does agroecosystem model improvement increase simulation accuracy for agricultural N2O emissions?
dc.type	Journal Article
utslib.citation.volume	297
utslib.for	04 Earth Sciences
utslib.for	06 Biological Sciences
utslib.for	07 Agricultural and Veterinary Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	closed_access	*
dc.date.updated	2022-01-30T00:59:55Z
pubs.publication-status	Published
pubs.volume	297

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