Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: 

RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 3
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
Adapting Science to Adaptive Managers: Spidergrams, Belief Models, and Multi-agent Systems Modeling Ecology and Society
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
Imagem não selecionada

Imprime registro no formato completo
Adaptive Analysis of Locally Complex Systems in a Globally Complex World Ecology and Society
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
Imagem não selecionada

Imprime registro no formato completo
Assessing the Importance of Woodland Landscape Locations for Both Local Communities and Conservation in Gorongosa and Muanza Districts, Sofala Province, Mozambique Ecology and Society
Lynam, Timothy; Tropical Resource Ecology Program, University of Zimbabwe; tlynam@science.uz.ac.zw; Cunliffe, Robert T; ;; Mapaure, Isaac; ; imapaure@science.uz.ac.zw.
In collaboration with two communities living in, and on the edge of, Gorongosa National Park (GNP), Mozambique, we researched the importance of different landscape units to these communities and used the information to develop a management plan for GNP. We conceived the importance of a landscape to local people as a ratio of the benefits they derive from it and the costs of accessing or using those benefits. To test this expectation, we developed Bayesian belief models, for which the parameters were the relative preference weightings derived from community members (the relative preferences for benefits and relative expectations of costs). We then collected field data to confront the models for each of the two sites. In a parallel process, we conducted a...
Tipo: Peer-Reviewed Reports Palavras-chave: Bayesian Belief Network; Mozambique; Conservation importance; Landscape importance; Participatory methods.
Ano: 2004
Registros recuperados: 3
Primeira ... 1 ... Última
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional