03.06.2019 – 16:01
PRESS RELEASE/ PRESSEMITTEILUNG: Farmers and end users now benefit from a new database of industrial crops growing on marginal land!
The European Union's Horizon 2020 project MAGIC has reached a milestone by uploading a beta version of its Decision Support System for farmers and end users, showing marginal land and an overview of industrial crops suitable to be grown on this land. Bitte entnehmen Sie den deutschen Pressetext dem Anhang. Visuals free for press purposes / Bildmaterial frei für Pressezwecke Download at: http://nova-institute.eu/press/?id=118
The 4-year MAGIC project aims to promote the sustainable development of resource-efficient and economically profitable industrial crops on marginal land. Industrial crops can provide resources for high value-added products and bioenergy. This approach can strengthen the growing bio-based industry, help to mitigate competition in land use and increase farmers' incomes through access to new markets, as well as increasing the value of marginal land. In the first project period, a preliminary version of the decision support system providing access to three data sets (MAGIC MAPS, MAGIC CROPS and the MAGIC DSS) was developed and is now available at http://magic-h2020.eu.
The dataset MAGIC CROPS contains information on existing resource-efficient industrial crops suitable for cultivation on different types of marginal land. Industrial crops can broadly be classified into oil, lignocellulosic, carbohydrate or specialty crops. Moreover, MAGIC CROPS provides information on agronomic management, input requirements, yield performance and quality characteristics for end user applications. For this purpose, the results of several long-term field trials with important industrial plants such as Miscanthus, Giant Reed, Reed Canary Grass, Camelina, Hemp and Poplar, which are carried out European-wide under the most important marginal growth conditions, are collected and evaluated in MAGIC. Many of these field trials are still on-going. In addition, the best low-input agricultural cultivation strategies for crop categories such as 'tillage', 'nitrogen fertilization', 'weed control' and 'irrigation' will be identified and made accessible over the next project years through MAGIC CROPS.
The purpose of MAGIC MAPS is to characterize and analyse projections for current and future marginal lands in Europe facing natural constraints. The elements that were considered in building the classification include biophysical limitations clustered in six main groups. In addition, the resulting marginal land map was further classified according to, land use management, socio-economic limitations, ecosystem services and drivers and pressures influencing the ecosystem functions present. As a result, in total 29% of the agricultural land (i.e. land classified as agricultural by Corine Land Cover since 1992) in the European Union are classified as marginal. The most common limitations are rooting limitations, over 12% of the agricultural area. This is followed by adverse climate and excessive soil moisture occurring in respectively 11% and 8% of the agricultural land. Further assessments are now made to identify more precisely the current status of land management and abandonment in these marginal lands. This is important information to have as it provides a better understanding of the opportunities to use these marginal lands for industrial crops without competing with food production on these lands. Further characteristics on current and future land use opportunities will be made accessible over the next project years through MAGIC MAPS.
MAGIC Decision Support System (DSS)
The MAGIC DSS combines both datasets and is designed to allow practitioners, policy-makers and the general public to gain access to information about marginal land and potential industrial crops across Europe. Information is provided at the NUTS3 administrative level. On the map, users can visualize the proportion of marginal land that is estimated to occur within each administrative unit and the main factors determining the marginal conditions. The individual marginal land types are depicted on a graph, as are the potential industrial crops and the amount of marginal land by country. As users explore the map, zooming in and out or select features, the graphs are updated in real-time. Clicking on any administrative unit on the map exposes the full database, which is also available for download. It is also possible to change the underlying base map to add for example satellite imagery. Additional features and an increase in information is planned for the future and all feedback is welcome.
The impact of the MAGIC project will be maximized by integrating sustainability aspects (covering environmental, social and economic aspects) of the value chains, which will serve as a basis for developing sustainable best-practice options for industrial crops growing on marginal land in Europe. The practitioners will benefit from the MAGIC results by implementing low-input agricultural practices for industrial crop cultivation, which are adapted to both the marginality conditions of their locations and to the market requirements in their region. In the long term, this strategy will foster the sustainable development of the EU bio-based economy and will contribute to achieving EU energy and climate targets.
This project has received funding from the European Union's Horizon 2020 research and innovation programme und grant agreement No 727698.
Responsible under press legislation (V.i.S.d.P.): Dipl.-Phys. Michael Carus (Managing Director), nova-Institut GmbH, Chemiepark Knapsack, Industriestrasse 300, 50354 Hürth (Germany), www.nova-institute.eu - all studies and services at www.bio-based.eu nova-Institute is a private and independent research institute, founded in 1994; nova offers research and consultancy with a focus on bio-based and CO2-based economy in the fields of food and feedstock, techno-economic evaluation, markets, sustainability, dissemination, B2B communication and policy. Every year, nova organises several large conferences on these topics; nova-Institute has 30 employees and an annual turnover of more than 3 million EUR.
Further material to download document: 19-05-15_Pressemitteilung.docx document: 19-05-15_Press release.docx