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| Author |
Schmid, E. |
| Title |
Integrated land use modelling — a course for doctoral students |
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Report |
| Year |
2017 |
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FACCE MACSUR Reports |
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10 |
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T4.1-4.2-XC4.3-4.4-D |
| Keywords |
TradeM |
| Abstract |
The course on “Integrated land use modelling” took place at BOKU Vienna between 24. – 28. April 2017. It was a five-days course capturing many aspects in quantitative integrated land use modelling using GAMS (see course outline). 10 students have participated the course coming from several countries. Students finishing the course have received 3 ECTS points. The course was offered by BOKU and the Doctoral Certificate Program in Agricultural Economics (https://www.agraroekonomik.de/index.html ). |
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MA @ admin @ |
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5036 |
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| Author |
Sharif, B. |
| Title |
Data mining techniques for quantifying and projecting crop yield responses to climate change |
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2017 |
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Ph.D. thesis |
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Aarhus University |
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Aarhus |
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PhD |
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CropM |
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MA @ admin @ |
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5165 |
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| Author |
Iocola, I. |
| Title |
Past experience supports future choices for cropping systems management: the Italian long-term agro-ecosystem experiments (LTAEs) through the IC-FAR network |
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2017 |
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Ph.D. thesis |
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University of Sassari |
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Sassari |
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PhD |
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MA @ admin @ |
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5166 |
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Francioni, M. |
| Title |
Soil CO2 emissions and C stock as ecosystem services: a comparison between transhumant and conventional farming systems |
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2017 |
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Ph.D. thesis |
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Università Politecnica delle Marche |
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PhD |
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LiveM |
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MA @ admin @ |
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5167 |
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| Author |
Janssen, S. |
| Title |
Open data journal as a publishing and data sharing mechanism |
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2017 |
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FACCE MACSUR Reports |
Abbreviated Journal |
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10 |
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C2.3-D |
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This deliverable lays out the work as done as part of MACSUR CropM on data publishing, with the focus on improving data sharing and discovery and have shared data curation for future use. As part of the first phase MACSUR, The Open Data Journal for Agricultural Research (www.odjar.org) was started and documented in Deliverable C2.2 as part of Crop M. Odjar.org mainly focuses on long term data archival and citation of data sets, as input and outputs to the modelling work, as part of MACSUR, lead by Wageningen UR This deliverable is a short update on the process of creating such a data journal by demonstrating a set of articles published through the journal, some of which are based on MACSUR results, as well as related networks. The deliverable does not further explain what the journal is, as this is part of the previous deliverable. |
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MA @ admin @ |
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