Détail de l'auteur
Auteur Carolina Perpina Castillo |
Documents disponibles écrits par cet auteur (1)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externes
Modelling the spatial allocation of second-generation feedstock (lignocellulosic crops) in Europe / Carolina Perpina Castillo in International journal of geographical information science IJGIS, vol 29 n° 10 (October 2015)
[article]
Titre : Modelling the spatial allocation of second-generation feedstock (lignocellulosic crops) in Europe Type de document : Article/Communication Auteurs : Carolina Perpina Castillo, Auteur ; Carlo Lavalle, Auteur ; Claudia Baranzelli, Auteur ; Sarah Mubareka, Auteur Année de publication : 2015 Article en page(s) : pp 1807 - 1825 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] allocation
[Termes IGN] analyse de sensibilité
[Termes IGN] analyse multicritère
[Termes IGN] bioénergie
[Termes IGN] changement d'utilisation du sol
[Termes IGN] lignocellulose
[Termes IGN] Union EuropéenneRésumé : (auteur) This paper presents a modelling approach for the spatial allocation of second-generation feedstock (lignocellulosic crops) under a reference policy scenario in European Union of 28 Member State (EU-28). The land-use modelling platform (LUMP) was used in order to simulate the land-use changes from 2010 to 2050. Within the LUMP, the land demand for these lignocellulosic energy crops was derived from the Common Agricultural Policy Regionalised Impact analysis model. Suitability maps were generated for two main energy crop groups: herbaceous and woody lignocellulosic crops, using multicriteria analysis techniques. 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 determined the most influential factors to be temperature, precipitation, length of growing period and number of frost-free days. The results of the modelling exercise in the LUMP reflect the significant renewable energy contribution from energy crops in EU-28, which was estimated to be between 2.3 EJ/year (in 2020) and 6.3 EJ/year (in 2050), accounting for 2.3% and 9.6% of total energy consumption in the EU-28. The results of the allocation were aggregated at regional level to analyse trends. Regions with considerably high demand were identified in Germany, the United Kingdom and Poland. Numéro de notice : A2015-533 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1051486 En ligne : https://doi.org/10.1080/13658816.2015.1051486 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77781
in International journal of geographical information science IJGIS > vol 29 n° 10 (October 2015) . - pp 1807 - 1825[article]