|   | 
Details
   web
Records
Author Banse, M.
Title Climate-change impacts on farming systems in the next decades: Why worry when you have CAP? A FACCE MACSUR workshop for policymakers – Introduction Type Conference Article
Year 2015 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 6 Issue Pages SP6-1
Keywords
Abstract (up) MACSUR’s aims•To analyze the effects of climate change for farming conditions in European regions •To identify risks for farmers, to jointly develop mitigation and adaptation options•To analyze consequences of mitigation and adaptation for farming competitiveness, the environment and rural developmentMACSUR’S mission •improve and integratemodels – crop and livestock production, farms, and national & international agri-food markets•demonstrate integration and links – models for selected farming systems and regions •provide hands-on training- young and experienced researchers in integrative modelingProgramme of the workshop•Presentation of current achievements—Regional Pilots on climate adaptation —EU-level assessments •Intensive discussion with all participants—What are your knowledge needs ?—What can MACSUR-2 contribute ?—How to collaborate ?—Next steps of interaction No Label
Address
Corporate Author Thesis
Publisher Place of Publication Brussels Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference Climate-change impacts on farming systems in the next decades: Why worry when you have CAP? A FACCE MACSUR workshop for policymakers
Notes Approved no
Call Number MA @ admin @ Serial 2082
Permanent link to this record
 

 
Author Köchy, M.; Bannink, A.; Banse, M.; Brouwer, F.; Brüser, K.; Ewert, F.; Foyer, C.; Kipling, R.; Rötter, R.; Scollan, N.; Sinabell, F.
Title MACSUR Phase 1 Final Administrative Report: Public release Type Report
Year 2015 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 6 Issue Pages D-H3.5.3
Keywords Hub;
Abstract (up) MACSUR’s foremost charge is improving the methodology for integrative inter-disciplinary modelling of European agriculture. In addition to technical changes, improvements include the involvement of stakeholders for setting research priorities, scenarios (if-then evaluations), and model parameters to more realistic or region-specific values. The Knowledge Hub currently brings together 300 members from 18 countries and has generated 300 scientific papers, over 500 presentations and 20 workshops and conferences within the first three years. Scientific results are communicated in conferences and workshops, where policymakers take part by invitation or because of professional interest. These events also provide opportunities for direct dialogues between policy­makers and scientists. The primary form of output of the research network is scientific publications that are cited in policy documents by relevant administrative depart­ments, ministries, intergovern­mental agencies, and directorate-generals, and non-governmental interest groups. MACSUR members also contribute directly to policy documents as authors, e.g. the EEA’s indicator report on CC impacts or the IPCC’s 5th assessment report’s chapter on food security.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number MA @ admin @ Serial 2080
Permanent link to this record
 

 
Author Marton, T.
Title Assessing the impact of agro-climatic factors and farm characteristics on the yield variation of the Norwegian fruit sector Type Report
Year 2016 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 9 C6 - Issue Pages Sp9-5
Keywords
Abstract (up) Main drivers of ag. yields:–Technology–R&D (new hybrids etc.)–Weather–Etc.•Common sense and anecdotal observations (remember the Tromsø presentation) revealed extreme events tended to impact wide geographic areas•This was called the «systemic» nature of agriculture No semi-aggregation  farm-level•Not the boring corn, maize, wheat  fruits•No OLS-like Pearson correlation or functional form approach for conditioning spatial correlations on weather  SDM•Finally, if we are smart enough to set the explanatory proxies in a meaningful way presumably we can make the distinction between the effects of, say draught and extreme heat.•And much more in policy relevance
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number MA @ admin @ Serial 4857
Permanent link to this record
 

 
Author Savary, S.; Nelson, A.D.; Djurle, A.; Esker, P.; Sparks, A.; Amorim, L.; Bergamin Filho, A.; Caffi, T.; Castilla, N.; Garrett, K.; McRoberts, N.; Rossi, V.; Yuen, J.; Willocquet, L.
Title Concepts, approaches, and avenues for modelling crop health and crop losses Type Report
Year 2017 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 10 Issue Pages C1.5-D
Keywords
Abstract (up) Main text in preparation for publication in a peer-reviewed journal)
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes CropM Approved no
Call Number MA @ admin @ Serial 4952
Permanent link to this record
 

 
Author Dalgaard, T.; Kjeldsen, C.; Graversgard, M.
Title Review of regional scale models in the EU and methods commonly used when modelling outcomes of the implementation of the climate change mitigation policies Type Report
Year 2015 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 6 Issue Pages D-L4.1
Keywords
Abstract (up) Management of Nitrogen (N) losses and the related greenhouse gas emissions is one of the most important environmental issues related to agriculture. This report shows examples of an integrated model tool, developed to quantify the N-dynamics at the complex interface between agriculture and the environment, and quantify effects of different management practices. Based on results from the EU funded research projects NitroEurope (www.NitroEurope.eu) and MEAscope (www.MEA-scope.org), examples from the quantification of farm N-losses in European agricultural landscapes are demonstrated. Applications of the dynamic whole farm model FASSET (www.FASSET.dk), and the Farm-N tool (www.farm-N.dk/FarmNTool) to calculate farm N balances, and distribute the surplus N between different types of N-losses (volatilisation, denitrification, leaching), and the related greenhouse gas emissions, show significant variation between landscapes and management practices. Moreover, significant effects of the nonlinearities, appearing when integrating over time, and scaling up from farm to landscape, are demonstrated. Finally, perspectives for stakeholder involvement is included and general recommendations for landscape level management of farm related nitrogen and greenhouse gas fluxes are made, and discussed in relation to ongoing research in the European research projects. No Label
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number MA @ admin @ Serial 2110
Permanent link to this record