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Creating Agents and Landscapes for Multiagent Systems from Random Samples Ecology and Society
Berger, Thomas; University of Hohenheim; 490e@uni-hohenheim.de; Schreinemachers, Pepijn; University of Hohenheim; pepijn@uni-hohenheim.de.
An important goal of modeling human–environment interactions is to provide scientific information to policymakers and stakeholders in order to better support their planning and decision-making processes. Modern technologies in the fields of GIS and data processing, together with an increasing amount of accessible information, have the potential to meet the varying information needs of policymakers and stakeholders. Multiagent modeling holds the promise of providing an enhanced collaborative framework in which planners, modelers, and stakeholders may learn and interact. The fulfillment of this promise, however, depends on the empirical parameterization of multiagent models. Although multiagent models have been widely applied in experimental and...
Tipo: Peer-Reviewed Reports Palavras-chave: Common sampling frame; Generation of statistically consistent agent populations; Integrated modeling; Interdisciplinary data collection; Monte Carlo approach; Uganda..
Ano: 2006
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Managing the Resilience of Lakes: A Multi-agent Modeling Approach Ecology and Society
Janssen, Marco A; Indiana University; maajanss@indiana.edu; Carpenter, Stephen R; University of Wisconsin-Madison; srcarpen@wisc.edu.
We demonstrate an approach for integrating social and ecological models to study ecosystem management strategies. We focus on the management of lake eutrophication. A model has been developed in which the dynamics of the lake, the learning dynamics of society, and the interactions between ecology and society are included. Analyses with the model show that active learning is important to retain the resilience of lakes. Although very low levels of phosphorus in the water will not be reached, active learning reduce the chance of catastrophic high phosphorus levels.
Tipo: Peer-Reviewed Reports Palavras-chave: Active learning; Eutrophication; Integrated modeling; Lake dynamics; Lake management; Multi-agent modeling; Phosphorus; Resilience; Restoration; Simulation.
Ano: 1999
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An integrated social and ecological modeling framework—impacts of agricultural conservation practices on water quality Ecology and Society
Daloğlu, Irem; School of Natural Resources and Environment, University of Michigan; daloglu@umich.edu; Nassauer, Joan Iverson; School of Natural Resources and Environment, University of Michigan; nassauer@umich.edu; Riolo, Rick; Center for the Studies of Complex Systems, University of Michigan; rlriolo@umich.edu; Scavia, Donald; School of Natural Resources and Environment, University of Michigan; Graham Environmental Sustainability Institute, University of Michigan; scavia@umich.edu.
We present a modeling framework that synthesizes social, economic, and ecological aspects of landscape change to evaluate how different agricultural policy and land tenure scenarios and land management preferences affect landscape pattern and downstream water quality. We linked a stylized agent-based model (ABM) of farmers’ conservation practice adoption decisions with a water quality model, the Soil and Water Assessment Tool (SWAT), to simulate the water quality effects of changing land tenure dynamics and different policies for crop revenue insurance in lieu of commodity payments over 41 years (1970–2010) for a predominantly agricultural watershed of Lake Erie. Results show that non-operator owner involvement in land management...
Tipo: Peer-Reviewed Reports Palavras-chave: ABM; Agricultural policy; Agriculture; Conservation practice; Integrated modeling; SWAT; Water quality.
Ano: 2014
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Aspects of Mussel-Farming Activity in Chalastra, Thermaikos Gulf, Greece: An Effort to Untie a Management Gordian Knot Ecology and Society
Konstantinou, Zoi I.; Division of Hydraulics and Environment, Department of Civil Engineering, Aristotle University of Thessaloniki; zkon@civil.auth.gr; Krestenitis, Yannis N.; Division of Hydraulics and Environment, Department of Civil Engineering, Aristotle University of Thessaloniki ; ynkrest@civil.auth.gr; Latinopoulos, Dionysis; Department of Spatial Planning and Development, Faculty of Engineering, Aristotle University of Thessaloniki;; Pagou, Kalliopi; Hellenic Center for Marine Research, Institute of Oceanography;; Galinou-Mitsoudi, Sofia; Department of Fisheries and Aquaculture Technology, Alexander Technological Educational Institute of Thessaloniki;; Savvidis, Yiannis; Department of Fisheries and Aquaculture Technology, Alexander Technological Educational Institute of Thessaloniki;.
Tipo: Peer-Reviewed Reports Palavras-chave: Integrated management; Integrated modeling; Mussel farming; Stakeholder involvement; Systems Approach Framework (SAF) implementation.
Ano: 2012
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Agentenbasierte Modellierung von Landnutzungsdynamiken und Politikoptionen AgEcon
Berger, Thomas.
Agent-based modeling offers the technical opportunity to spatially integrate biophysical and socio-economic model components, thereby capturing the interactions between agricultural and environmental policy measures, land use decisions and ecological processes. Development paths in the use of resources can be calculated with the help of computer stimulations which determine the range of possible farm adjustments and policy interventions. Through coupling with global modeling systems, scenario analyses can be run to investigate the impacts of global change on land and water resources at regional and local level. This article gives an overview of agent-based modeling applied to the study of land use dynamics and policy options. It outlines an agricultural...
Tipo: Journal Article Palavras-chave: Multi-agent systems; Integrated modeling; Land and water resources; Decision support; Agricultural and environmental policy; Land Economics/Use; Research Methods/ Statistical Methods.
Ano: 2004 URL: http://purl.umn.edu/97430
Registros recuperados: 5
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