@article{JRC91701,
	address = {ABINGDON (ENGLAND)},
	year = {2015},
	author = {Perpiña Castillo C and Lavalle C and Baranzelli C and Mubareka S},
	abstract = {The main topic of this paper is modelling the spatial allocation of 2nd generation feedstock
		(lignocellulosic crops) under a reference policy scenario in Europe. The Land Use Modelling
		Platform (LUISA) has been used in order to simulate the land use changes from 2010 to 2050. The
		configuration of LUISA is detailed, highlighting the biophysical suitability aspects of two main
		energy crops groups: herbaceous and woody lignocellulosic crops. A suitability map for each
		energy crop was generated using multicriteria analysis (MCA). Biophysical factors (climate, soil
		properties and topographical aspects), natural and artificial constraints and location-specific
		land categories were defined as relevant components within the platform. A sensitivity analysis
		of the set of selected factors was then applied. The sensitive analysis provide insight into the
		most influent factors on the model, highlighting temperature, precipitation, length growing period
		and frost free days. The results of modelling 2nd generation feedstock in LUMP clearly reflected
		the significant renewable energy contribution from energy crops in EU-28, which was estimated
		in the range between 12.25 PJ/year (in 2020) and 33.18 PJ/year (in 2050). The aggregated
		results of 2nd generation feedstock per NUTS3 level were mapped to show the energy crop land
		allocation trend and to identify the regions where its demand is significantly high such as
		Germany, the United Kingdom and Poland.
		NOTE: The former acronym 'LUMP' is used in the paper instead of 'LUISA', due to the timing of submission and revision of the paper.
		},
	title = {Modelling the spatial allocation of 2nd-generation feedstock (lignocellulosic crops) in Europe},
	type = {Full paper},
	url = {http://www.tandfonline.com/doi/full/10.1080/13658816.2015.1051486},
	volume = {29},
	number = {10},
	journal = {INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE},
	pages = {1807-1825},
	issn = {1365-8816},
	publisher = {TAYLOR & FRANCIS LTD},
	doi = {10.1080/13658816.2015.1051486}
}