Consulta: subjectFacets:"Participatory modeling"
Registros recuperados: 13
Data/hora: 09/06/2024 13:36:40

Evaluation of Bayesian Networks in Participatory  Water Resources Management, Upper Guadiana Basin, Spain
Provedor de dados: 7
Autores: Zorrilla, Pedro; Department of Geodynamics, Faculty of Geological Sciences, Complutense University of Madrid, Spain; pedro.zorrilla@geo.ucm.es; Carmona, Gema; Technical University of Madrid, Department of Agricultural Economics, Spain;; Varela-Ortega, Consuelo; Technical University of Madrid, Department of Agricultural Economics, Spain;; Bromley, John; Oxford University School of Geography and the Environment, Centre for Water Research, United Kingdom;; Henriksen, Hans Jorgen; Geological Survey of Denmark and Greenland (GEUS), Copenhagen, Denmark;.
Stakeholder participation is becoming increasingly important in water resources management. In participatory processes, stakeholders contribute by putting forward their own perspective, and they benefit by enhancing their understanding of the factors involved in decision making. A diversity of modeling tools can be used to facilitate participatory processes. Bayesian networks are well suited to this task for a variety of reasons, including their ability to structure discussions and visual appeal. This research focuses on developing and testing a set of evaluation criteria for public participation. The advantages and limitations of these criteria are discussed in the light of a specific participatory modeling initiative. Modeling work was conducted in the...
Tipo: Peer-Reviewed Reports
Palavras-chave: Bayesian networks; Decision support system; Evaluation; Groundwater management; Guadiana Basin; Participatory modeling; Spain; Water management; Water use conflicts.
Ano: 2010

The Importance of Social Learning in Restoring the Multifunctionality of Rivers and Floodplains
Provedor de dados: 7
Tipo: Peer-Reviewed Reports
Palavras-chave: Conflict resolution; Social learning; Adaptive management; Participatory modeling; Floodplain restoration.
Ano: 2006

Using fuzzy cognitive mapping as a participatory approach to analyze change, preferred states, and perceived resilience of social-ecological systems
Provedor de dados: 7
Autores: Gray, Steven A; University of Massachusetts, School for the Environment; stevenallangray@gmail.com; Gray, Stefan; Coastal &amp; Marine Research Centre, Environmental Research Institute, University College Cork; S.Gray@ucc.ie; De Kok, Jean Luc; VITO NV, Flemish Institute for Technological Research; Jean-Luc.DeKok@vito.be; Helfgott, Ariella E. R.; Environmental Change Institute, University of Oxford; ariella.helfgott@ouce.ox.ac.uk; O'Dwyer, Barry; Coastal &amp; Marine Research Centre, Environmental Research Institute, University College Cork; B.ODwyer@ucc.ie; Jordan, Rebecca; Rutgers University, Department of Human Ecology; jordan@aesop.rutgers.edu; Nyaki, Angela; University of Hawaii Manoa, Department of Natural Resources and Environmental Management; angelsolow@yahoo.com.
There is a growing interest in the use of fuzzy cognitive mapping (FCM) as a participatory method for understanding social-ecological systems (SESs). In recent years, FCM has been used in a diverse set of contexts ranging from fisheries management to agricultural development, in an effort to generate transparent graphical models of complex systems that are useful for decision making, illuminate the core presumptions of environmental stakeholders, and structure environmental problems for scenario development. This increase in popularity is because of FCM&amp;#8217;s bottom-up approach and its ability to incorporate a range of individual, community-level, and expert knowledge into an accessible and standardized format. Although there has been an increase in...
Tipo: NON-REFEREED
Palavras-chave: Bushmeat; Fuzzy cognitive mapping; Participatory modeling; Resilience.
Ano: 2015

Navigating Trade-Offs: Working for Conservation and Development Outcomes
Provedor de dados: 7
Autores: Campbell, Bruce M; CGIAR Challenge Program on Climate Change, Agriculture and Food Security (CCAFS); brca@life.ku.dk; Sayer, Jeffrey A; IUCN - International Union for Conservation of Nature ; jeff.sayer@iucn.org; Walker, Brian; CSIRO - Australian Commonwealth Scientific and Research Organization ; Brian.Walker@csiro.au.
Tipo: Peer-Reviewed article
Palavras-chave: Adaptive capacity; Governance; ICDP; Institutions; Integrated conservation and development; Land-use planning; Local knowledge; Participatory modeling; Participatory research; Resilience perspective.
Ano: 2010

Adapting Science to Adaptive Managers: Spidergrams, Belief Models, and Multi-agent Systems Modeling
Provedor de dados: 7
Autores: 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

A Toolkit Modeling Approach for Sustainable Forest Management Planning:  Achieving Balance between Science and Local Needs
Provedor de dados: 7
Autores: Sturtevant, Brian R.; Northern Research Station, U.S. Forest Service; bsturtevant@fs.fed.us; Fall, Andrew; Gowlland Technologies Ltd; fall@cs.sfu.ca; Simon, Neal P. P.; Newfoundland and Labrador Department of Natural Resources; nealsimon@gov.nl.ca; Morgan, Don G.; British Columbia Ministry of Forests; Don.Morgan@gems7.gov.bc.ca.
Tipo: Peer-Reviewed Reports
Palavras-chave: Decision support; Ecosystem management; Forest sustainability; Interdisciplinary modeling; Land planning; Participatory modeling; Scaling.
Ano: 2007

Baltic Herring Fisheries Management: Stakeholder Views to Frame the Problem
Provedor de dados: 7
Autores: Kuikka, Sakari; University of Helsinki, Department of Environmental Sciences, Fisheries and Environmental Management Group (FEM); sakari.kuikka@helsinki.fi.
Comprehensive problem framing that includes different perspectives is essential for holistic understanding of complex problems and as the first step in building models. We involved five stakeholders to frame the management problem of the Central Baltic herring fishery. By using the Bayesian belief networks (BBNs) approach, the views of the stakeholders were built into graphical influence diagrams representing variables and their dependencies. The views of the scientists involved concentrated on biological concerns, whereas the fisher, the manager, and the representative of an environmental nongovernmental organization included markets and fishing industry influences. Management measures were considered to have a relatively small impact on the development...
Tipo: Peer-Reviewed Reports
Palavras-chave: Bayesian belief networks; Influence diagrams; Objectives; Participatory modeling; Problem framing; Stakeholders; Structural uncertainty.
Ano: 2012

Implementing Participatory Water Management: Recent Advances in Theory, Practice, and Evaluation
Provedor de dados: 7
Autores: von Korff, Yorck; Lisode; Cemagref / Irstea UMR G-EAU; yorck.von-korff@lisode.com; Daniell, Katherine A; The Australian National University; Cemagref / Irstea UMR G-EAU; k.a.daniell@gmail.com; Moellenkamp, Sabine; University of Osnabrueck; sabine.moellenkamp@gmx.de; Bots, Pieter; Delft University of Technology; p.w.g.bots@tudelft.nl; Bijlsma, Rianne M; University of Twente; Deltares; r.m.bredenhoff@gmail.com.
Many current water planning and management problems are riddled with high levels of complexity, uncertainty, and conflict, so-called &amp;#8220;messes&amp;#8221; or &amp;#8220;wicked problems.&amp;#8221; The realization that there is a need to consider a wide variety of values, knowledge, and perspectives in a collaborative decision making process has led to a multitude of new methods and processes being proposed to aid water planning and management, which include participatory forms of modeling, planning, and decision aiding processes. However, despite extensive scientific discussions, scholars have largely been unable to provide satisfactory responses to two pivotal questions: (1) What are the benefits of using participatory approaches?; (2) How exactly...
Tipo: Peer-Reviewed article
Palavras-chave: Adaptive management; Collaborative decision making; Evaluation; Interactive planning; Participatory modeling; Participatory research; Process design; Public participation; Social learning; Stakeholder participation; Water resources management.
Ano: 2012

ARDI: A Co-construction Method for Participatory Modeling in Natural Resources Management
Provedor de dados: 7
Autores: Etienne, Michel; INRA-Ecodevelopment Unit; etienne@avignon.inra.fr; Du Toit, Derick R; AWARD; derick@award.org.za; Pollard, Sharon; AWARD; sharon@award.org.za.
Tipo: Peer-Reviewed Reports
Palavras-chave: Co-construction; Collective mental model; Conceptual model; Facilitation; Natural resources management; Participatory modeling.
Ano: 2011

Improving ecosystem service frameworks to address wicked problems
Provedor de dados: 7
Autores: Davies, Kathryn K.; National Institute of Water and Atmospheric Research; Kate.Davies@niwa.co.nz; Fisher, Karen T.; The University of Auckland; k.fisher@auckland.ac.nz; Dickson, Mark E.; The University of Auckland; m.dickson@auckland.ac.nz; Thrush, Simon F.; Institute of Marine Science; The University of Auckland; s.thrush@auckland.ac.nz; Le Heron, Richard; The University of Auckland; r.leheron@auckland.ac.nz.
Complex problems often result from the multiple interactions between human activities and ecosystems. The interconnected nature of ecological and social systems should be considered if these &amp;#8220;wicked problems&amp;#8221; are to be addressed. Ecosystem service approaches provide an opportunity to link ecosystem function with social values, but in practice the essential role that social dynamics play in the delivery of outcomes remains largely unexplored. Social factors such as management regimes, power relationships, skills, and values, can dramatically affect the definition and delivery of ecosystem services. Input from a diverse group of stakeholders improves the capacity of ecosystem service approaches to address wicked problems by acknowledging...
Tipo: Peer-Reviewed Insight
Palavras-chave: Ecosystem services; Participatory modeling; Social capital; Social values; Wicked problems.
Ano: 2015

Crossing Scales and Disciplines to Achieve Forest Sustainability
Provedor de dados: 7
Autores: Sturtevant, Brian; Institute for Applied Ecosystems Studies, Northern Research Station, US Forest Service; bsturtevant@fs.fed.us.
Tipo: Peer-Reviewed Synthesis
Palavras-chave: Decision support; Ecosystem management; Forest sustainability; Interdisciplinary modeling; Land planning; Participatory modeling; Scaling; Sustainable forest management.
Ano: 2008

The Role of Participatory Modeling in Landscape Approaches to Reconcile Conservation and Development
Provedor de dados: 7
Autores: Sandker, Marieke; Autonomous University of Madrid, Spain; Marieke.Sandker@uam.es; Campbell, Bruce M.; Center for International Forestry Research,  Bogor, Indonesia; Challenge Program for Climate Change, Agriculture and Food Security, University of Copenhagen, Denmark; b.campbell@cgiar.org; Sayer, Jeffrey A.; International Union for Conservation of Nature, Gland, Switzerland; Faculty of Earth and Environmental Sciences, James Cook University, Cairns, Queensland, Australia ; jeff.sayer@iucn.org; Cowling, Richard; Botany Department, Nelson Mandela Metropolitan University, Port Elizabeth, South Africa; rmc@kingsley.co.za; Kassa, Habtemariam; Center for International Forestry Research, Addis Ababa, Ethiopia; HKassa@cgiar.org; Knight, Andrew T.; Botany Department, Nelson Mandela Metropolitan University, Port Elizabeth, South Africa; current affiliation: Department of Conservation Ecology and Entomology, Stellenbosch University, Matieland, South Africa; tawnyfrogmouth@gmail.com.
Tipo: Peer-Reviewed Reports
Palavras-chave: Conservation and development; Landscape approach; Multiple stakeholders; Natural resource policy; Participatory modeling; Systems modeling.
Ano: 2010

Reconciling complex system models and fisheries advice: Practical examples and leads
Provedor de dados: 5
Autores: Lehuta, Sigrid; Girardin, Raphael; Mahevas, Stephanie; Travers-trolet, Morgane; Vermard, Youen.
The move toward an ecosystem-based fisheries management (EBFM) requires new operational tools in order to support management decisions. Among them, ecosystem- and fisheries-based models are critical to quantitatively predict the consequences of future scenarios by integrating available knowledge about the ecosystem across different scales. Despite increasing development of these complex system models in the last decades, their operational use is still currently limited in Europe. Many guidelines are already available to help the development of complex system models for advice yet they are often ignored. We identified three main impediments to the use of complex system models for decision support: (1) their very complexity which is a source of uncertainty;...
Tipo: Text
Palavras-chave: Ecosystem-based fisheries management; Complex models; Decision support; Methodological solutions; Participatory modeling; Model sensitivity analysis; Examples.
Ano: 2016
URL: http://archimer.ifremer.fr/doc/00358/46945/46851.pdf