The Contribution of Agriculture, Forestry and other Land Use activities to Global Warming, 1990-2012

Date of Acceptance: 16/12/2014 Acknowledgements: This work was carried out with generous funding by the Governments of Germany (GCP/GLO/286/GER) and Norway (GCP/GLO/325/NOR) to the ‘Monitoring and Assessment of GHG Emissions and Mitigation Potential from Agriculture’ Project of the FAO Climate, Energy and Tenure Division. P. Smith is a Royal Society Wolfson Merit Award holder, and his input contributes to the University of Aberdeen Environment and Food Security Theme and to Scotland's ClimateXChange. J. House was funded by a Leverhulme Research Fellowship. The FAO Statistics Division maintains the FAOSTAT Emissions database with regular program funds allocated through Strategic Objective 6. © 2015 John Wiley & Sons Ltd.

Global Change Pressures on Soils from Land Use and Management

This work contributed to The input of PS and PCW contributes to the Belmont Forum/FACCE-JPI funded DEVIL project (NE/M021327/1) and for PS also contributes to the EU FP7 SmartSoil project (Project number: 289694)

Global Change Pressures on Soils from Land Use and Management

This work contributed to The input of PS and PCW contributes to the Belmont Forum/FACCE-JPI funded DEVIL project (NE/M021327/1) and for PS also contributes to the EU FP7 SmartSoil project (Project number: 289694)

Simulation of greenhouse gases following land-use change to bioenergy crops using the ECOSSE model : a comparison between site measurements and model predictions

This work contributes to the ELUM (Ecosystem Land Use Modelling & Soil Carbon GHG Flux Trial) project, which was commissioned and funded by the Energy Technologies Institute (ETI). We acknowledge the E-OBS data set from the EU-FP6 project ENSEMBLES (http://ensembles-eu.metoffice.com) and the data providers in the ECA&D project (http://www.ecad.eu).

High-resolution spatial modelling of greenhouse gas emissions from land-use change to energy crops in the United Kingdom

Funded by Energy Technologies Institute EPSRC-Supergen. Grant Number: EP/M013200/1

Semantic Support for Computational Land-Use Modelling

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