15-17 March 2016, Berlin, Germany
MACSUR and AgMIP jointly presented the
International Crop Modelling Symposium
"Crop Modelling for Agriculture and Food Security under Global Change"
iCROPM Symposium 'keynotes' and 'pictures' available!
With more than 300 scientists from 47 nations, the iCROPM Symposium in Berlin brought together the major part of the international crop modellers’ scene to exchange ideas on improvement and application of crop simulation models to better support agricultural production and food security under global change. The 3-day symposium, 15-17 March, 2016, hosted by the Leibniz Centre for Agricultural Landscape Research (ZALF), was jointly organised by the MACSUR and AgMIP research networks.
A total of 85 oral and 130 poster presentations centred on recent scientific work related to model improvement, generation and use of experimental data, and on advancements in model applications considering new methods of model intercomparison, uncertainty propagation and scaling. While the main emphasis was on crops, progress in modelling in related fields, like grassland and vegetation modelling, was also addressed as well as new approaches of model implementation making use of recent software developments. Improvements in crop and cropping system modelling referred to models from field to global level and included efforts to link crop modelling to genetics. Studies to improve modelling of relationships between plant production, pest damage, resource use and management including effects on water and nutrient cycles were also presented.
In summary, the Symposium highlighted the enormous potential for the use of modelling in tackling societal challenges related to agriculture, food security and the environment in Europe and beyond if novelties in technology and data generation are embraced and if the interaction with related disciplines and stakeholders is further strengthened while keeping up good scientific standards.
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Agriculture, global change and food security are closely interrelated and are of increasing concern to society. Plant production is the most important primary process to obtain biomass for use as food and feed. Efforts to understand plant production and impacts on food and feed supply under a changing environment increasingly rely on mathematical models and data to develop and improve them. Additional demands on crop modelling are posed by integrated assessment modelling of agricultural systems. While progress has been made in crop and grassland modelling particularly in recent years in larger international programs such as AgMIP, MACSUR and CCAFS, a number of challenges still remain.
The symposium focuses on recent scientific work related to model improvement, generation and use of experimental data and on advancements in model application considering new methods of model intercomparison, uncertainty propagation and scaling. While the main emphasis is on crops, progress on grassland and vegetation modelling will also be considered as well as new approaches of model implementation making use of recent software developments. Improvements in crop and cropping system modelling will refer to the field level but also to the higher landscape and regional level and will include efforts to link crop modelling to genetics. Studies to improve the modelling of relationships between plant production, resource use and management including effects on water and nutrient cycles are welcome. Impact studies can refer to the wider context of global change but must emphasize methodological advances in assessments. Integrated modelling studies linking crop and other models, e.g. economic models, may be considered but need to be presented from a crop modelling perspective.
Jointly organized by
The Knowledge Hub FACCE MACSUR brings together the excellence of research in modelling grasslands, livestock, crops, farms, and agricultural trade in order to illustrate to political decision makers how climate will affect regional farming systems and food production in Europe. To achieve this goal, MACSUR engages in a range of activities, including methodological comparisons of models and use of their outputs, linking of complementary models from different sectors, involvement of stakeholders, training of young scientists, and establishing a community of practice across a broad range of scientific disciplines.
The Agricultural Model Intercomparison and Improvement Project (AgMIP) is a major international collaborative effort to assess the state of global agricultural modelling and to understand climate impacts on the agricultural sector. AgMIP''s mission is to substantially improve the characterization of world food security as affected by climate variability and change, and to enhance adaptation capacity in both developing and developed countries.
- Andy Challinor
(University of Leeds, UK)
- Achim Dobermann
- Graeme Hammer
(University of Queensland, AUS)
- James Jones
(University of Florida, US)
- Brian Keating
- Martin Kropff
- Serge Savary
- Frank Ewert (University of Bonn, DE)
- Kenneth J. Boote (University of Florida, US)
- Peter Thorburn (CSIRO, AUS)
- Reimund P. Rötter (LUKE, FI)
Scientific Committee members
- Senthold Asseng (University of Florida, US)
- Andy Challinor (University of Leeds, UK)
- Melanie Correll (University of Florida, US)
- Delphine Deryng (University of East Anglia, UK)
- Katrien Descheemaeker (Wageningen University, NL)
- Michael Dingkuhn (International Rice Research Institute, PH)
- Marcello Donatelli (Agricultural Research Council, IT)
- Graeme Hammer (University of Queensland, AU)
- Mario Herrero (CSIRO, AU)
- Cesar Izaurralde (University of Maryland, US)
- Pierre Martre (INRA, FR)
- Claas Nendel (ZALF, DE)
- Jørgen Olesen (Aarhus University, DK)
- Matthew Reynolds (CIMMYT, MX)
- Claudio Stöckle (Washington State University, US)
- Francois Tardieu (INRA, FR)
- Phillip Thornton (CCAFS, KE)
- Yan Zhu (Nanjing Agricultural University, CN)