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D1.10– Final version of the MAGIC Decision Support System (DSS)

Authors: McCullum, Ian; Monti, Andrea; Canetti, Federica; Elberson, Ferien; van Eupen, Michiel; Staritsky, Igor; Dahl, Svenja; +1 Authors

D1.10– Final version of the MAGIC Decision Support System (DSS)

Abstract

Several studies agree on the existence of a considerable amount of land in Europe deemed less favourable for conventional agriculture. This land has been either abandoned because of its productivity, or it is used as grassland. MAGIC is based on the premise that cultivation of selected industrial crops on areas facing natural constraints (e.g., extreme climatic conditions, low soil productivity, steep slope, etc.) can i) ensure the production of resource-efficient feedstocks, with low indirect land-use change (iLUC), for a growing bio-based industry, and ii) increase farmers’ incomes through access to new markets and the revalorization of marginal land. This Deliverable (D1.10) describes the final version of the Decision Support System (DSS), aiming to provide the underlying information as required from above and generated within the MAGIC project for various interested stakeholders across Europe. The marginal land area, marginality factors and associated information can now be visualized and queried at the Local Administrative Unit (LAU-2), which equates to the municipal level in most countries. For the Ukraine, the comparable administrative level was used. All three related information platforms (MAGIC-MAPS, MAGIC-CROPS and the MAGIC-DSS) are available at http://magic-h2020.eu/.

Keywords

Marginal Lands, BioFuels, Biomass, Biobased

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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