Regional case studies
Assisting policy makers and actors in the agri-food chain in identifying effective and efficient adaptation and mitigation measures and potential consequence scenarios, e.g. impact on food yield, quality, nutritive value, disease load etc. in perceived hotspots of climate impacts
Adaptation Futures 2016
Presentations and summary available for download
Advancing science on the modeling of agriculture under climate change to improve food security through interdisciplinary European collaboration
MACSUR CropM now serves as the European hub for Coordinated Global and Regional Assessments (CGRA) of Climate Change Impacts. ⇒ "global" menu.
Summaries of results, events, presentations
The archives of FACCE MACSUR
Advancement in modelling the links between crops, farms, and socio-economy
Advancement in modelling of crops
Livestock systems
Livestock systems
Advancement in modelling of livestock, permanent grasslands, and farms
Advancement in modelling of markets and socio-economy

HungaryGeneral information

Name of region Hungary
Global Environmental Zone(s) (Metzger)  
Population density (persons per km2)  
Contact (general) Nándor Fodor
Contact (ag. scenarios) Nándor Fodor
Location (NUTS code) HU
Dominant regional farming system(s)
(SEAMLESS nomenclature)
The three most important
farming systems in region

(SEAMLESS nomenclature)
  • arable-cereal
  • arable-specialised crops
  • permanent crops
Main crop species  
Main livestock species  

Regional development goal in rural spatial planning

Specific issues the region deals with/will deal with

yield loss, land use optimization, low livestock density

Regional challenges with regard to climate change

summer droughts, heat waves, extreme weather events, desertification

Proposed solutions to overcome the challenges

Contribution to answering the focus question

Elaborate mitigation strategies, proposals for investments and land use changes, locating vulnerable areas

Important adaptation measures that are or will be considered in the study

Water management is important to this region.
Irrigation is important to this region AND is/will be included in the modelling exercise.
Species/varietal choice is important to this region AND is/will be included in the modelling exercise.
Plant breeding is important to this region.
Changed planting/sowing days is important to this region AND is/will be included in the modelling exercise.
Crop rotations is important to this region AND is/will be included in the modelling exercise.
Alternative tillage methods  
Pest/weed management  
Housing of livestock  
Land consolidation  
Management of feeding and reproduction of livestock  
Structure and scale of production adjustment  
Crop insurance  
Exit from agriculture  
Climate alertness is important to this region.
Political regulations at various administrative levels is important to this region AND is/will be included in the modelling exercise.

Models, stakeholders, advancement of knowledge

Models used in the study
none 4M (CERES clone) Biome-BGC none
How are results of of crop and livestock models assimilated in socio-economic models?How is technological progress in arable agriculture taken into account?How is technological progress in livestock farming taken into account?

Participating stakeholders

Agro-business or agro-food chainAdministrative bodies or regional or national governments
Hungarian Chamber of Agriculture Ministry of Agriculture (Hungary)
Approaches for involving stakeholders

Improvement of the modelling capability by involving stakeholders

How did the modelling capability improve by involving stakeholders?Effect of the involvement of stakeholders on the questions asked, on the assessment, or on the solutions suggested
Points that researchers learned from stakeholdersPoints that stakeholders learned from researchers

Further information

IPCC methodology used for vulnerability assessment, ecosystem services,