Ewert, F., Rötter, R., & Brüser, K. (2015). CropM: Understanding and Modelling Impacts of Climate Change on Crop Production. In FACCE MACSUR Reports (Vol. 6, pp. SP6–2). Brussels.
Abstract: Key ambition:To developa shared comprehensive information system on the impacts of climate change on European crop production and food securityfirst shared pan-continental assessments and tools(Full) range of important crops and important crop rotationsImproved management and analysis of dataModel improvement (stresses and factors not yet accounted for)Advanced scaling methodsAdvanced link to farm and sector modelsComprehensive uncertainty assessment and reportingTo train integrative crop modelerData. for better understanding and modelling climate change impactEvaluation of data quality (platinum, gold, silver)Quantify data gaps for modellingEmpirical analysis of crop responses to past climate variability and changeObserved adaptation options and their efficacyEffect of extreme events (past analysis and projections)Climate change scenariosConcept for data management, data journalUncertaintyMethodology & protocols for uncertainty analysisMethodology for standardized model evaluationLocal-scale climate scenarios & uncertainties in climate projectionsBasic methodology for probabilistic assessment of CC impacts using impact response surfacesMethodology for probabilistic evaluation of alternative adaptation options Main aims in MACSUR2:Improve crop model to better capture extremesComplement knowledge from crop models with empirical crop-weather analysisConsider management variables in simulationsFull range of methods for analysing uncertainty in climate impact assessmentsEvaluate potential adaptation optionsContributing to cross-cutting issues and case studies.Further the links with other modelling activitiesLink local to European and global responses No Label
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Banse, M. (2015). Climate-change impacts on farming systems in the next decades: Why worry when you have CAP? A FACCE MACSUR workshop for policymakers – Introduction. In FACCE MACSUR Reports (Vol. 6, pp. SP6–1). Brussels.
Abstract: 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
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Ahmadi, V. (2015). Impacts of Common Agricultural Policy 2015 reforms on animal health and welfare of Scottish dairy herds (Vol. 5).
Abstract: The latest Common Agricultural Policy (CAP) 2015 reforms bring a substantial change in the way farm support is paid in Scotland where previous direct CAP payments were largely based on historical entitlements. Under the new payment scheme, three rates of payment are designated based on land uses and capabilities. As a result, it is anticipated that, average large dairy farms will lose out up to 32% of their farm net margins, while small dairy farms will lose out between 7-20% of their farm net margins. Such reductions of payment support may force dairy farmers to cut costs of production on farms especially livestock variable costs including labour costs and costs of prevention, control, treatment and management of livestock diseases and welfare conditions. This will have direct and indirect consequences on health and welfare of dairy cattle. This study aims to assess the impact of new support payments under CAP 2015 reforms on financial capabilities of dairy herds in tackling three conditions namely: infertility, mastitis and lameness. A detailed inventory of 42 commercial dairy farms in Scotland that contains both physical (i.e. farm area, nutrition and labour supply, etc.) and health data collected in 2013 and was used to parameterise an optimisation model. The model is a linear programme (LP) model which optimises farm net margin under limiting farm resources. The model also consists of feed demand and supply components that are used to determine monthly feed requirements for each of the animals on a farm as well as grass yield for pasture area of the land. The model is run for both ‘healthy’ and ‘diseased’ herds under previous and future CAP support payments. Details of the model and the dataset used as well as some results will be presented at the conference. No Label
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Zander, P. (2015). Modelling regional agricultural land use and climate change adaptation strategies in 4 case study regions Northern Germany (Vol. 4).
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Steen, M. (2015). Warmer, Wetter, Wilder? Climatic Evidence from the Grain Markets (Vol. 4).
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