Using Multi-Agent Systems in a Companion Modelling Approach for Agroecosystem Management in South-East Asia

Bousquet, François; Castella, Jean‐Christophe; Trébuil, Guy; Barnaud, Cécile; Boissau, Stanislas; Kam, Suan Pheng

doi:10.5367/000000007780223650

Cited by 32 publications

(23 citation statements)

References 8 publications

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“…Participatory modeling is an efficient way to gather information and, more importantly, to stimulate discussion among different stakeholders (van Noordwijk et al 2001;Bousquet et al 2007). Because data is often lacking on the relationships among components of modeled socioecological systems, such simulations largely reflect local expert opinion.…”

Section: Role Of Participatory Modelingmentioning

confidence: 99%

Exploring the effectiveness of integrated conservation and development interventions in a Central African forest landscape

et al. 2009

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Integrated conservation and development projects (ICDPs) have had limited success in addressing the often conflicting objectives of conservation and development. We developed a model with local participants to explore the trade-offs between conservation and development in southeastern Cameroon, where illegal hunting is regarded as the greatest challenge to conservation. We simulated the effects of different ICDP strategies by varying the degree of focus on antipoaching activities, anticorruption measures and direct development investments, and by varying the overall budget for such activities. Our outcome variables were numbers of selected wildlife species and household incomes. The model outcomes from the different scenarios were used to stimulate debate among stakeholders. Contributing to poverty alleviation while maintaining current animal population sizes will be extremely difficult and will require long-term external financial support. Devoting greater attention to improving local environmental governance emerged as the highest priority for this investment. We used the model outputs to inform some of the major policy makers in the region. Participatory modeling is a valuable means of capturing the complexities of achieving conservation at landscape scales and of stimulating innovative solutions to entrenched problems.

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Section: Role Of Participatory Modelingmentioning

confidence: 99%

Exploring the effectiveness of integrated conservation and development interventions in a Central African forest landscape

et al. 2009

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“…Second, participatory modeling approaches can be problematic because of limitations associated with time, cost, bias, and validation (Matthews et al 2007). However, participatory modeling is a growing area of research, which can take many forms (Voinov and Bousquet 2010), and is especially promising given the advent of more http://www.ecologyandsociety.org/vol19/iss3/art41/ (Gurung et al 2006, Bousquet et al 2007, Smajgl 2010, Flaxman and Vargas-Moreno 2011, VargasMoreno and Flaxman 2012.…”

Section: Simulation Challenges and Opportunitiesmentioning

confidence: 99%

Integrating Research Tools to Support the Management of Social-Ecological Systems Under Climate Change

Miller¹,

Morisette²

2014

E&S

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ABSTRACT. Developing resource management strategies in the face of climate change is complicated by the considerable uncertainty associated with projections of climate and its impacts and by the complex interactions between social and ecological variables. The broad, interconnected nature of this challenge has resulted in calls for analytical frameworks that integrate research tools and can support natural resource management decision making in the face of uncertainty and complex interactions. We respond to this call by first reviewing three methods that have proven useful for climate change research, but whose application and development have been largely isolated: species distribution modeling, scenario planning, and simulation modeling. Species distribution models provide datadriven estimates of the future distributions of species of interest, but they face several limitations and their output alone is not sufficient to guide complex decisions for how best to manage resources given social and economic considerations along with dynamic and uncertain future conditions. Researchers and managers are increasingly exploring potential futures of social-ecological systems through scenario planning, but this process often lacks quantitative response modeling and validation procedures. Simulation models are well placed to provide added rigor to scenario planning because of their ability to reproduce complex system dynamics, but the scenarios and management options explored in simulations are often not developed by stakeholders, and there is not a clear consensus on how to include climate model outputs. We see these strengths and weaknesses as complementarities and offer an analytical framework for integrating these three tools. We then describe the ways in which this framework can help shift climate change research from useful to usable.

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“…In this strategy, models are not used to quantify all of the key dynamics in qualitative narratives (cf. Bousquet et al 2007), but rather to challenge certain pivotal, recurring beliefs. For example, a belief that appears in mainstream discourse, detectable in several of the stories, is that large-scale irrigation development will reduce poverty (Molle et al 2009).…”

Section: Challenge and Reconstruct Strategymentioning

confidence: 99%

“…Before elaborating narratives, explore systemic relations qualitatively, using influence diagrams (SEI and CIFOR 2009), as well as more formal techniques, such as fuzzy cognitive mapping (Kok 2009), agent-based simulation (Bousquet et al 2007, Smajgl 2010, and system dynamics modeling (Alcamo 2008 Ecology and Society 18(4): 6 http://www.ecologyandsociety.org/vol18/iss4/art6/ 3. For a given specific scenario framework, generate additional, contrasting character-driven narratives.…”

Section: Refining Strategymentioning

confidence: 99%

Developing Detailed Foresight Narratives: a Participatory Technique from the Mekong Region

Foran¹,

Ward²,

Kemp-Benedict³

et al. 2013

E&S

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ABSTRACT. Narratives that explore uncertain events are central to a variety of future-oriented approaches ranging from planning to community visioning. Techniques to create interesting narratives, however, have been overlooked in the peer-reviewed environmental foresight literature. We describe a participatory, multidimensional, pragmatic technique to generate qualitative foresight ("scenario") narratives. We applied this technique in the Mekong region of Southeast Asia during 11 workshops conducted in 5 countries and 1 regional setting. To improve consideration of systemic connections, narratives were shared between the six settings, allowing participants to understanding cross-scale enablers and inhibitors of desired development outcomes. A second innovative feature is elaboration of character-oriented narratives. We discuss how the technique responds to ongoing methodological challenges of critical inquiry, policy salience, and agency.

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Using Multi-Agent Systems in a Companion Modelling Approach for Agroecosystem Management in South-East Asia

Cited by 32 publications

References 8 publications

Exploring the effectiveness of integrated conservation and development interventions in a Central African forest landscape

Exploring the effectiveness of integrated conservation and development interventions in a Central African forest landscape

Integrating Research Tools to Support the Management of Social-Ecological Systems Under Climate Change

Developing Detailed Foresight Narratives: a Participatory Technique from the Mekong Region

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