Family farmers and biodiesel production: Systems thinking and multi-level decisions in Northern Minas Gerais, Brazil

Florin, M.J.; Ittersum, M.K. van; Ven, G.W.J. van de

doi:10.1016/j.agsy.2013.07.002

Cited by 22 publications

(13 citation statements)

References 24 publications

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“…Useful examples of the applicability of Bayesian Networks include: environmental management (Low Choy, Stewart-Koster et al 2005;Henriksen, Rasmussen et al 2007;Ticehurst, Newham et al 2007;Stewart-Koster, Bunn et al 2010), reliability engineering (Trucco, Cagno et al 2008), software engineering (Fenton, Marsh et al 2004) and project management (Khodakarami and Abdi 2014). In fact, Bayesian Networks have been used for knowledge integration tools and systems analysis in an agricultural context within a number of studies (Henderson and Burn 2004;Bashari, Smith et al 2008;Florin, van Ittersum et al 2013;Stewart-Koster, Dieu Anh et al 2017).…”

Section: Comments On the Methodologymentioning

confidence: 99%

A Bayesian network model to explore practice change by smallholder rice farmers in Lao PDR

Moglia

Alexander

Thephavanh³

et al. 2018

Agricultural Systems

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Highlights  A Bayesian Network was built to explore the chances of practice change amongst farmers.  The focus of the study is smallholder farmers in southern Lao PDR.  The model emphasizes systemic barriers and enablers relating to practices and context.  Coordinated multi-stakeholder action can improve the likelihood of practice change.  The model supports examination of data gaps, perspectives and knowledge management.

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Section: Comments On the Methodologymentioning

confidence: 99%

A Bayesian network model to explore practice change by smallholder rice farmers in Lao PDR

Moglia

Alexander

Thephavanh³

et al. 2018

Agricultural Systems

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“…Systems thinking approaches, modelling tools and decision support systems have been used in agricultural systems research and development around the world (e.g. Bawden, 1991;Eastwood et al, 2012;Florin et al, 2013;Lamprinopoulou et al, 2014;81 Macadam & Packham, 1989;Mainland, 1994;Paracchini et al, 2015). However, so far no study has been conducted using systems dynamics modelling to analyse and compare the complexity of women farmers' determinants of life and the interactions amongst different subsystems beyond the production systems in the two regions of Vietnam.…”

Section: Introductionmentioning

confidence: 99%

System dynamics modelling for defining livelihood strategies for women smallholder farmers in lowland and upland regions of northern Vietnam: A comparative analysis

Bosch

Nguyen

et al. 2017

Agricultural Systems

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This study aims to compare the main determinants of the quality of lives and livelihood options for women smallholder farmers between the lowland and upland regions of northern Vietnam. A systems approach and relevant systems tools were used to develop rich pictures (systems models) that depict the current situations and interrelationships amongst different factors within the systems. The comparative analysis showed similar and distinctive characteristics of the farming systems and women farmers in the two regions. Patterns of relationships and interplays amongst different variables reflect the complexity and multidimensional nature of the lives of the women, who are part of and influenced by the interwoven social, economic, cultural and environmental systems. The study provided insights and practical guidance for making "strategic decisions" towards sustainable agricultural systems and livelihoods of the target group in the respective regions. The systems approach, framework and process steps employed in this study are of a generic nature and can therefore be applied to solve complex problems in various other contexts around the world. Theoretical and practical contributions of using systems approaches in agricultural research and development are discussed.

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“…Based on the systems thinking (Florin et al, ; Forrester, ; Ison et al, ; Meadows, ) and essence of sustainable development (Brundtland & Khalid, ), integrating environmental, social, and economic systems, this study proposes the TM‐SDM analytical framework, synthesising the advantages of both methods organically (Figure ). TM could characterise the case study (Figure ), such as TGRR (Jiang et al, ), and characterise research fields or aspects of sustainable agriculture (Figure ), such as sustainable poverty reduction of farmers in rural areas (Sen, ; Suich, Howe, & Mace, ), sustainable development and resource scarcity (Zhang, Prouty, Zimmerman, & Mihelcic, ), and agro‐ecosystems (Kropff et al, ).…”

Section: Methodsmentioning

confidence: 99%

“…Modelling is a good tool for understanding the complex interactions among different parts of the agricultural systems (Pandey & Hardaker, ). Currently, the systems methodologies (Ison, Maiteny, & Carr, ), systems thinking (Florin, van Ittersum, & van de Ven, ), integrated systemic framework (Tipraqsa, Craswell, Noble, & Schmidt‐Vogt, ), systems approaches (Kropff, Bouma, & Jones, ), decision support systems (Eastwood, Chapman, & Paine, ), and various modelling methods (Ha, Bosch, Nguyen, & Trinh, ) have been used in the studies of sustainable agriculture and agricultural systems. However, few studies have used a combined method of topic modelling (TM) and system dynamics modelling (SDM) to analyse and simulate the agricultural system, considering factors about environment, poverty, and sustainable agriculture.…”

Section: Introductionmentioning

confidence: 99%

Modelling environment and poverty factors for sustainable agriculture in the Three Gorges Reservoir Regions of China

et al. 2018

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Modelling is a good tool for understanding the complex interactions of the agricultural systems; however, few studies have used a combined method of text mining and system dynamics to analyse and simulate the agricultural system. We propose the topic modelling-system dynamics modelling (TM-SDM) analytical framework to extract, synthesise, and dynamically simulate the factors of land management, disaster, pollution, and poverty in the system. Specifically, 1,598 English language publications were collected to analyse the main concerns and conceptual structure of the sustainable development in the case study area based on topic modelling. Historical data from 2000 to 2014 are used for simulation and prediction based on system dynamics modelling, exploring and comparing different policy scenarios. The results show that policies about education and training, sewage treatment, infrastructure construction, and soil erosion control would help poverty reduction significantly. Sewage treatment policy reduces the incidence of human disease and sewage discharge significantly.Education and training policy has the greatest impact on the improvement of poverty reduction and yield of crops, and the environmental protection scenario has the best performance on maintaining the cultivated land. The balanced development scenario benefits both the poverty reduction and environmental protection concurrently.Focussing on a systems approach to improve the sustainability of agriculture, this paper could have a positive impact on the development and implementation of sustainable agricultural systems. The TM-SDM analysis and modelling framework that we proposed has a generic nature, which could be applied to the further research and decision-making on sustainable agriculture and other fields involving complex systems.

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Family farmers and biodiesel production: Systems thinking and multi-level decisions in Northern Minas Gerais, Brazil

Cited by 22 publications

References 24 publications

A Bayesian network model to explore practice change by smallholder rice farmers in Lao PDR

A Bayesian network model to explore practice change by smallholder rice farmers in Lao PDR

System dynamics modelling for defining livelihood strategies for women smallholder farmers in lowland and upland regions of northern Vietnam: A comparative analysis

Modelling environment and poverty factors for sustainable agriculture in the Three Gorges Reservoir Regions of China

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