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Socio-ecological System Models for Supporting Farm Resilience: Research Needs, Gaps and Promising Approaches - Public Seminar at Department of Biological Sciences, NUS

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Title Socio-ecological System Models for Supporting Farm Resilience: Research Needs, Gaps and Promising Approaches - Public Seminar at Department of Biological Sciences, NUS
 
Creator Le, Quang Bao
 
Subject agent-based systems
bio-economic modeling
foresight study
multi-agent systems (mas)
transdisciplinary
trade-off
scenarios
interdisciplinary
 
Description It is important to increase the resilience of food production systems in the face of a changing climate, land scarcity, and changing demographics and market conditions. As farm resilience is a high-level system property emerged from social-ecological interactions, its direct measurement is difficult because it requires measuring the thresholds or boundaries that separate alternate stability regimes of the farm system. However, systems' modeling for supporting agricultural resilience is still in an early stage. Through critical review of state-of-the art literature, we highlighted the new requirements of agricultural system modeling as they apply to management for farm resilience, limitations of contemporary agricultural systems modeling approaches, and promising directions for future research on the field. We conceptualized criteria for evaluating models' suitability for farm resilience studies. Multi-agent systems (MAS) modeling has appeared as a promising approach for understanding farming resilience that results from rich interactions and feedback among adaptive decision-making and natural processes (e.g. energy, mineral nutrient and water flows). Using the above-mentioned criteria we also analyzed the current limitations of this model family and elaborate possible future developments as subjects of follow-up studies. I will show progresses of our on-going projects on agrarian landscape transitions using hybrid MAS modeling. At the end, I introduce a CGIAR working group on Integrated Systems Analysis and Modeling (iSAMG), in which our work embedded, to support building agricultural livelihood security in dryland at scale.
 
Date 2016-02-10T10:39:30Z
2016-02-10T10:39:30Z
 
Type Presentation
 
Identifier https://mel.cgiar.org/reporting/download/hash/2RGZ4W44
Quang Bao Le. (1/7/2015). Socio-ecological System Models for Supporting Farm Resilience: Research Needs, Gaps and Promising Approaches - Public Seminar at Department of Biological Sciences, NUS.
https://hdl.handle.net/20.500.11766/4300
Open access
 
Language en
 
Rights CC-BY-NC-SA-4.0
 
Format PDF