ELUM: a spatial modelling tool to predict soil greenhouse gas changes from land conversion to bioenergy in the UK
Contribuinte(s) |
University of Aberdeen, School of Biological Sciences, Biological Sciences University of Aberdeen, Energy University of Aberdeen, Environment and Food Security |
---|---|
Data(s) |
05/08/2016
05/08/2016
01/10/2016
|
Resumo |
Acknowledgements This work is based on the Ecosystem Land Use Modelling & Soil Carbon GHG Flux Trial (ELUM) project, which was commissioned and funded by the Energy Technologies Institute (ETI). The authors are grateful to Niall McNamara (Centre for Ecology & Hydrology, Lancaster) for coordinating the project and to Dagmar Henner (University of Aberdeen) for project assistance. We are also grateful to staff at the ETI, particularly to Geraldine Newton-Cross, Geraint Evans and Hannah Evans for constructive advice and feedback, and to Jonathan Oxley for project support. The ELUM Software Package contains Ordnance Survey data © Crown copyright and database right 2012. Peer reviewed Postprint |
Formato |
9 |
Identificador |
Pogson , M , Richards , M , Dondini , M , Jones , E O , Hastings , A & Smith , P 2016 , ' ELUM: a spatial modelling tool to predict soil greenhouse gas changes from land conversion to bioenergy in the UK ' Environmental Modelling and Software , vol 84 , pp. 458-466 . , 10.1016/j.envsoft.2016.07.011 1364-8152 PURE: 69220909 PURE UUID: 31325884-e050-47d4-8f96-2efcfd4dde73 |
Idioma(s) |
eng |
Relação |
Environmental Modelling and Software |
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 | #land-use change #bio-energy #soil carbon #greenhouse gas #soil organic matter model #spatial model #QH301 Biology #QH301 |
Tipo |
Journal article |