ELUM: a spatial modelling tool to predict soil greenhouse gas changes from land conversion to bioenergy in the UK

Mark Pogson; Mark Richards; Marta Dondini; Edward O. Jones; Astley Hastings; Pete Smith

doi:10.1016/j.envsoft.2016.07.011

ELUM: a spatial modelling tool to predict soil greenhouse gas changes from land conversion to bioenergy in the UK

Mark Pogson
, Mark Richards
, Marta Dondini
, Edward O. Jones
, Astley Hastings
, Pete Smith

Research output: Contribution to journal › Article › peer-review

19 Citations (Scopus)

20 Downloads (Pure)

Abstract

The ELUM Software Package spatially predicts the net soil greenhouse gas balance of land-use change to grow energy crops in the UK up to 2050. It is able to support a range of analyses of bioenergy, and was developed in consultation with anticipated users. Results can be obtained according to specific interests, viewed in the graphical interface and exported for a variety of purposes. The functionality of the software is demonstrated through different case studies, which show an array of applications.

Original language	English
Pages (from-to)	458-466
Number of pages	9
Journal	Environmental Modelling and Software
Volume	84
Early online date	29 Jul 2016
DOIs	https://doi.org/10.1016/j.envsoft.2016.07.011
Publication status	Published - Oct 2016

Bibliographical note

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.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 15 Life on Land

Keywords

land-use change
bio-energy
soil carbon
greenhouse gas
soil organic matter model
spatial model

Access to Document

10.1016/j.envsoft.2016.07.011Licence: Unspecified

Accepted Manuscript
© 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/
Accepted author manuscript, 1.52 MBLicence: CC BY-NC-ND

Cite this

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title = "ELUM: a spatial modelling tool to predict soil greenhouse gas changes from land conversion to bioenergy in the UK",

abstract = "The ELUM Software Package spatially predicts the net soil greenhouse gas balance of land-use change to grow energy crops in the UK up to 2050. It is able to support a range of analyses of bioenergy, and was developed in consultation with anticipated users. Results can be obtained according to specific interests, viewed in the graphical interface and exported for a variety of purposes. The functionality of the software is demonstrated through different case studies, which show an array of applications.",

keywords = "land-use change, bio-energy, soil carbon, greenhouse gas, soil organic matter model, spatial model",

author = "Mark Pogson and Mark Richards and Marta Dondini and Jones, \{Edward O.\} and Astley Hastings and Pete Smith",

note = "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 {\textcopyright} Crown copyright and database right 2012. ",

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doi = "10.1016/j.envsoft.2016.07.011",

language = "English",

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pages = "458--466",

journal = "Environmental Modelling and Software",

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T1 - ELUM: a spatial modelling tool to predict soil greenhouse gas changes from land conversion to bioenergy in the UK

AU - Pogson, Mark

AU - Richards, Mark

AU - Dondini, Marta

AU - Jones, Edward O.

AU - Hastings, Astley

AU - Smith, Pete

N1 - 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.

PY - 2016/10

Y1 - 2016/10

N2 - The ELUM Software Package spatially predicts the net soil greenhouse gas balance of land-use change to grow energy crops in the UK up to 2050. It is able to support a range of analyses of bioenergy, and was developed in consultation with anticipated users. Results can be obtained according to specific interests, viewed in the graphical interface and exported for a variety of purposes. The functionality of the software is demonstrated through different case studies, which show an array of applications.

AB - The ELUM Software Package spatially predicts the net soil greenhouse gas balance of land-use change to grow energy crops in the UK up to 2050. It is able to support a range of analyses of bioenergy, and was developed in consultation with anticipated users. Results can be obtained according to specific interests, viewed in the graphical interface and exported for a variety of purposes. The functionality of the software is demonstrated through different case studies, which show an array of applications.

KW - land-use change

KW - bio-energy

KW - soil carbon

KW - greenhouse gas

KW - soil organic matter model

KW - spatial model

U2 - 10.1016/j.envsoft.2016.07.011

DO - 10.1016/j.envsoft.2016.07.011

M3 - Article

SN - 1364-8152

VL - 84

SP - 458

EP - 466

JO - Environmental Modelling and Software

JF - Environmental Modelling and Software

ER -

ELUM: a spatial modelling tool to predict soil greenhouse gas changes from land conversion to bioenergy in the UK

Abstract

Bibliographical note

UN SDGs

Keywords

Access to Document

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Cite this