Multi-agent simulations and ecosystem management: a review

By François Bousquet, C. Page. 2004

716 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Nature and Landscape Conservation, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/8c16dc41e71675a0b8f5f368ddf45ac7e6750561

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

In Nature and Landscape Conservation

In Sociology and Political Science

Citations in the corpus

OECD pressure–state–response indicators for managing biodiversity: a realistic perspective for a French biosphere reserve (2009, background): “They have been used successfully in many contexts to get a better understanding of how social and ecological interactions work and to facilitate collective discussion regarding natural resource management (Costanza and Ruth 1998; Rouwette et al. 2002; Etienne et al. 2003; Bousquet and Le Page 2004;”
Artificial Intelligence techniques: An introduction to their use for modelling environmental systems (2008, background): “Recently MASs have been widely applied in natural-resource management [22,16,20,72].”
Equity, Power Games, and Legitimacy: Dilemmas of Participatory Natural Resource Management (2013, background): “The nonneutrality of these methodological choices implies a continuous and critical reflection on the legitimacy of participatory methods and of their designers.”
An agent-based approach to model future residential pressure on a regional landscape (2009, methodology): “Agent-based modelling is seen as a promising technique for spatial modelling, for which there are few examples of real data application (Gilbert and Bankes 2002; Parker et al. 2003; Bousquet and Le Page 2004; Batty 2005; Phan and Amblard 2007).”
From Lilliput to Brobdingnag: Extending Models of Mycorrhizal Function across Scales (2006, background): “Agent-based models, sometimes referred to as “individual-based” models or “multiagent systems” ( Bousquet and Le Page 2004 ), have their origins in computer science and complex-systems theory.”
Competing Claims on Natural Resources: What Role for Science? (2008, background): “Agent-based models (e.g., Bousquet and Le Page 2004, Bousquet et al. 1999) of the impacts of stakeholder behavior under different circumstances, and their feedbacks, can be helpful in identifying likely scenarios, realistic options, thresholds for sustainable natural resource management and poverty…”
Agent-based land-use models: a review of applications (2007, background): “Since then, a number of agentbased land-use models (ABLUMs) have been developed (see recent reviews by Parker et al. 2002; Bousquet and Le Page 2004; Hare and Deadman 2004).”
A Third Wave in the Economics of Climate Change (2015, background): “ABMs are also frequently used to model land use (Parker et al. 2003; Matthews et al. 2007), ecosystemmanagement (Bousquet and Page 2004) and have been used to explore climate change related issues (Balbi and Giupponi 2009).”
Multi-criteria decision analysis in natural resource management: A critical review of methods and new modelling paradigms (2006, background): “Unless it is made explicit in the decision problem, the first aspect involves the identification of participants, which should be a clear and transparent process (Buchy and Hoverman, 2000). As Ravnborg and Westermann (2002) pointed, it should also be an ‘‘actor-oriented and social constructivist’’ a”