Projektbeschreibung
Die Auswirkungen des Verhaltens von Landwirten auf Klimaveränderungen
Klimaveränderungen können zu einer Abnahme der landwirtschaftlichen Produktivität führen. Steigende Temperaturen, weniger Regenfälle, Hochwasser und Dürren sind in diesem Zusammenhang häufige Ereignisse, sodass das Problem unbedingt angegangen werden muss. Die Reaktionen einzelner Landwirte spielen hinsichtlich der Verringerung der Anfälligkeit und der Sicherstellung der Beständigkeit von mehrfunktionalen Bewässerungssystemen eine wichtige Rolle. Das EU-finanzierte Projekt MODFaBe plant eine Modellierung des Verhaltens von Landwirten sowie die Information von Marktakteuren über die Effizienz alternativer Maßnahmen. Es wird eine Untersuchung des Verhaltens von Landwirten im Kontext des Muzza-Bewässerungsgebiets in Mailand in Norditalien durchführen. Das Projekt analysiert außerdem, inwieweit die Modellierung des Verhaltens Landwirtschaft nachhaltiger und flexibler machen und eine bessere Anpassung an Klimaveränderungen erreicht werden kann.
Ziel
Agriculture is one of the sectors most affected by climate change, especially in lower latitude areas, were climate change will result in increased temperature, reduced rainfall, and increased frequency of extreme weather events such as floods and droughts. Water and food nexus, often embedded in seemingly endless ecological, social and political interactions, are context-dependent, socially constructed and technically uncertain. Modelling techniques have been recognized, also in social sciences, as effective computational techniques to simulate social influence processes in human-nature systems from interactions within community of individual agents. The aim of the proposal is to reduce the vulnerability and improve the resilience of multifunctional irrigation systems to climate change scenarios by modelling individual farmer’ behaviour and informing managers and decision-makers about the effectiveness of different types of interventions. Through the combination of qualitative and quantitative methods and evidence-based analysis from social learning process (survey sample, interviews, statistical analyses, behavioural modelling simulations, artificial intelligence), insights are collected on how individual farmer and key stakeholders behave with respect to climate change adaptation in Coupled Human Natural Systems (CHNS), such as hydrosocial systems (e.g. multifunctional irrigation systems). A key question in today climate change adaptation research will be addressed: Can behaviour modelling help farmers to promote actions and anticipate decisions to adapt to climate change and become more sustainable and resilient? The assessment of farmer’ behavioural on climate change adaptation measures will be conducted on the Muzza irrigation district, located southeast of the city of Milan (Northern Italy). Modelling human behaviour can be used as a safe laboratory for policy experimentation, testing the effectiveness of strategies and policy measures on climate change.
Wissenschaftliches Gebiet
- natural sciencescomputer and information sciencesartificial intelligence
- engineering and technologycivil engineeringwater engineeringirrigation
- agricultural sciencesagriculture, forestry, and fisheriesagriculture
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
Schlüsselbegriffe
Programm/Programme
Thema/Themen
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenFinanzierungsplan
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Koordinator
20133 Milano
Italien