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Improving N2O emission estimates with the global N2O database

journal contribution
posted on 2023-05-03, 21:12 authored by Christopher Dorich, Richard Conant, Fabrizio Albanito, Klaus Butterbach-Bahl, Peter Grace, Clemens Scheer, Val SnowVal Snow, Iris Vogeler, Tony VanDerWeerden
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.

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Rights statement

© 2020 Published by Elsevier B.V

Language

  • English

Does this contain Māori information or data?

  • No

Publisher

Elsevier

Journal title

Current Opinion in Environmental Sustainability

ISSN

1877-3435

Citation

Dorich, C. D., Conant, R. T., Albanito, F., Butterbach-Bahl, K., Grace, P., Scheer, C., … van der Weerden, T. J. (2020). Improving N2O emission estimates with the global N2O database. Current Opinion in Environmental Sustainability, 47, 13–20. doi:10.1016/j.cosust.2020.04.006

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