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| Lynam, Timothy; Tropical Resource Ecology Program, University of Zimbabwe; tlynam@science.uz.ac.zw; Bousquet, Francois; CIRAD Tera; bousquet@cirad.fr; Le Page, Christophe; CIRAD Tera; lepage@cirad.fr; d'Aquino, P.; CIRAD Tera; daquino@telecomplus.sn; Barreteau, Olivier; Cemagref Division Irrigation; barreteau@montpellier.cemagref.fr; Chinembiri, Frank C; Agritex;; Mombeshora, Bright; ;. |
| Two case studies are presented in which models were used as focal tools in problems associated with common-pool resource management in developing countries. In the first case study, based in Zimbabwe, Bayesian or Belief Networks were used in a project designed to enhance the adaptive management capacity of a community in a semiarid rangeland system. In the second case study, based in Senegal, multi-agent systems models were used in the context of role plays to communicate research findings to a community, as well as to explore policies for improved management of rangelands and arable lands over which herders and farmers were in conflict. The paper provides examples of the use of computer-based modeling with stakeholders who had limited experience with... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Adaptive management; Bayesian belief networks; Developing country; Dynamic modeling; Multi-agent systems; Participatory modeling; Semiarid rangeland; Senegal; Spidergrams; Zimbabwe. |
| Ano: 2002 |
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| Lynam, Timothy; Tropical Resource Ecology Program, University of Zimbabwe; tlynam@science.uz.ac.zw. |
| Zambezi Valley agro-ecosystems are environmentally, economically, and institutionally variable. This variability means that it is not possible to measure everything necessary to develop a predictive understanding of them. In particular, because people and their environments are constantly changing, what was measured yesterday may change by tomorrow. Here, I describe elements of the approach that I have developed to address this problem. Called DAAWN, for Detail as and When Needed, the approach advocates an iterative and multiscaled methodology in which we first capture as broad an understanding of the system as possible and then use awareness developed at this scale to identify where to focus subsequent, more detailed, investigations. Because we cannot... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Comples adaptive systems; Household and resource economics; Livelihood strategies; Modeling; Multi-agent simulation models; Natural resource use; Participatory systems analysis; Southern Africa; Spidergrams. |
| Ano: 1999 |
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