Modelling nitrous oxide emissions from mown-grass and grain-cropping systems : Testing and sensitivity analysis of DailyDayCent using high frequency measurements
| Contribuinte(s) |
University of Aberdeen, School of Biological Sciences, Biological Sciences University of Aberdeen, Environment and Food Security University of Aberdeen, Energy |
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| Data(s) |
05/08/2016
05/08/2016
31/07/2016
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| Resumo |
The lead author, Nimai Senapati (Post doc), was funded by the European community’s Seventh Framework programme (FP2012-2015) under grant agreement no. 262060 (ExpeER). The research leading to these results has received funding principally from the ANR (ANR-11-INBS-0001), AllEnvi, CNRS-INSU. We would like to thank the National Research Infrastructure ‘Agro-écosystèmes, Cycles Biogéochimique et Biodiversité (SOERE-ACBB http://www.soere-acbb.com/fr/) for their support in field experiment. We are deeply indebted to Christophe deBerranger, Xavier Charrier for their substantial technical assistance and Patricia Laville for her valuables suggestion regarding N2O flux estimation. Peer reviewed Postprint |
| Identificador |
Senapati , N , Chabbi , A , Giostri , A F , Yeluripati , J & Smith , P 2016 , ' Modelling nitrous oxide emissions from mown-grass and grain-cropping systems : Testing and sensitivity analysis of DailyDayCent using high frequency measurements ' Science of the Total Environment . 0048-9697 PURE: 69649870 PURE UUID: 815b5cca-e679-4476-9fad-99fa5e270084 |
| Idioma(s) |
eng |
| Relação |
Science of the Total Environment |
| Direitos |
© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Palavras-Chave | #QH301 Biology #QH301 |
| Tipo |
Journal article |
