TY - JOUR
T1 - Improving N2O emission estimates with the global N2O database
AU - Dorich, Christopher D.
AU - Conant, Richard T.
AU - Albanito, Fabrizio
AU - Butterbach-Bahl, Klaus
AU - Grace, Peter
AU - Scheer, Clemens
AU - Snow, Val O.
AU - Vogeler, Iris
AU - van der Weerden, Tony J.
N1 - Acknowledgements
The authors would like to thank USDA-NIFA for funding [Project Number = 2018-67019-27812].
This paper was given at the workshop on Climate Change, Reactive Nitrogen, Food Security and Sustainable Agriculture which took place in Garmisch-Partenkirchen, Germany, on 15–16 April 2019, and which was sponsored by the OECD Co-operative Research Programme: Biological Resource Management for Sustainable Agricultural Systems whose financial support helped make it possible for the authors to participate in the workshop.
PY - 2020/12
Y1 - 2020/12
N2 - Climate change will have dire consequences and collaborative efforts are required to quickly develop and assess mitigation solutions. Agriculture is the primary source of the powerful greenhouse gas (GHG) nitrous oxide (N2O) and an important source of GHG emissions. Due to sampling limitations, N2O measurements have traditionally been sparse; approximately 75% of sites we reviewed sampled for fewer than 50 days within a year. Nitrous oxide emissions are highly variable and short-lived peak emission periods may contribute more than 50% to annual emissions. Gap filling around these peaks, if measured at all, can result in poor estimations under the standard practice using area under the curve. Improved gap filling methods that reflect covariate data will likely reduce uncertainty and improve annual N2O estimates. The Global N2O Database was created to serve as a repository for these datasets as well as become a resource for publicly available data and analytical advances.
AB - Climate change will have dire consequences and collaborative efforts are required to quickly develop and assess mitigation solutions. Agriculture is the primary source of the powerful greenhouse gas (GHG) nitrous oxide (N2O) and an important source of GHG emissions. Due to sampling limitations, N2O measurements have traditionally been sparse; approximately 75% of sites we reviewed sampled for fewer than 50 days within a year. Nitrous oxide emissions are highly variable and short-lived peak emission periods may contribute more than 50% to annual emissions. Gap filling around these peaks, if measured at all, can result in poor estimations under the standard practice using area under the curve. Improved gap filling methods that reflect covariate data will likely reduce uncertainty and improve annual N2O estimates. The Global N2O Database was created to serve as a repository for these datasets as well as become a resource for publicly available data and analytical advances.
UR - http://www.scopus.com/inward/record.url?scp=85086607103&partnerID=8YFLogxK
U2 - 10.1016/j.cosust.2020.04.006
DO - 10.1016/j.cosust.2020.04.006
M3 - Article
VL - 47
SP - 13
EP - 20
JO - Current Opinion in Environmental Sustainability
JF - Current Opinion in Environmental Sustainability
SN - 1877-3435
ER -
