Global Bioenergy Crop Growth Projections and Efficiencies

Research output: Contribution to conferenceAbstractpeer-review

Abstract

EGU session
ITS4.3/BG2.54/CL5.11/ERE1.5/SSS13.28
Opportunities and impacts of terrestrial negative emission technologies (co-organized)
Convener: Fabian Stenzel
Co-conveners: Lena Boysen , Marta Dondini , Claudia Kammann , David Keller
Abstract submission:
Global Bioenergy Crop Growth Projections and Efficiencies
Anita Shepherd1, Emma Littleton2 Mirjam Roeder3 and Astley Hastings1
1Universitiy of Aberdeen, 2University of Exeter, 3Aston University
Using IPCC RCP 2.6 climate projections for this century, we show how bioenergy crops compare across different countries for dry matter yield and related growth, water use, growing season length and the carbon cost of production. Calculations of country totals use the SSP2 bioenergy land use projections of the RCP 2.6 scenario. We have used the MiscanFor model’s global simulations for the growth of bioenergy crops. This mechanistic model’s processes for crop water loss have been updated, the model modified to create versions which use data at global or regional scales, and its range of output extended. This work is a component of the multi-partner FAB-GGR project to assess the feasibility of supply chains involved in the RCP 2.6 projections which are largely dependent on afforestation and bioenergy use with carbon capture schemes. In conjunction, with MiscanFor, the JULES land surface model has been adapted for Miscanthus giganteus growth, and we show comparisons of output between this large-scale land process simulator and the global crop model.

Original languageEnglish
Publication statusUnpublished - Mar 2019
EventEGU General Assembly 2014 - Vienna, Austria, Vienna, Austria
Duration: 27 Apr 20142 May 2014

Conference

ConferenceEGU General Assembly 2014
Country/TerritoryAustria
CityVienna
Period27/04/142/05/14

Fingerprint

Dive into the research topics of 'Global Bioenergy Crop Growth Projections and Efficiencies'. Together they form a unique fingerprint.

Cite this