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Registros recuperados: 14 | |
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Bell, Andrew Reid; Department of Environmental Studies, New York University; ab6176@nyu.edu; Ward, Patrick S.; International Food Policy Research Institute (IFPRI), Washington, D.C.; p.ward@cgiar.org; Shah, M. Azeem Ali; International Water Management Institute (IWMI), Lahore, Pakistan; Lahore University of Management Sciences (LUMS), Pakistan; a.shah@cgiar.org. |
Conventional wisdom in many agricultural systems across the world is that farmers cannot, will not, or should not pay the full costs associated with surface water delivery. Across Organisation for Economic Co-operation and Development (OECD) countries, only a handful can claim complete recovery of operation, maintenance, and capital costs; across Central and South Asia, fees are lower still, with farmers in Nepal, India, and Kazakhstan paying fractions of a U.S. penny for a cubic meter of water. In Pakistan, fees amount to roughly USD 1-2 per acre per season. However, farmers in Pakistan spend orders of magnitude more for diesel fuel to pump groundwater each season, suggesting a latent willingness to spend for water that, under the right conditions, could... |
Tipo: Peer-Reviewed Reports |
Palavras-chave: Agent-based model; Efficiency; Equity; Irrigation; Pakistan; Water. |
Ano: 2016 |
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Janssen, Marco A; School of Human Evolution and Social Change, Arizona State University; Marco.Janssen@asu.edu. |
Human societies have adapted to spatial and temporal variability, such as that found in the prehistoric American Southwest. A question remains as to what the implications are of different social adaptations to long-term vulnerability of small-scale human societies. A stylized agent-based model is presented that captures small-group decision making on movements and resource use in ancient arid environments. The impact of various assumptions concerning storage, exchange, sharing, and migration on indicators of aggregation and sustainability are explored. Climate variability is found to increase the resilience of population levels at the system level. Variability reduces the time a population stays in one location and can degrade the soils. In addition to... |
Tipo: Peer-Reviewed Reports |
Palavras-chave: Agent-based model; Archaeology; Arid landscapes; Climate variability. |
Ano: 2010 |
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Climate changes are occurring rapidly at both regional and global scales. Farmers are faced with the challenge of developing new agricultural practices to help them to cope with unpredictable changes in environmental, social, and economic conditions. Under these conditions, adaptive management requires a farmer to learn by monitoring provisional strategies and changing conditions, and then incrementally adjust management practices in light of new information. Exploring adaptive management will increase our understanding of the underlying processes that link farmer societies with their environment across space and time, while accounting for the impacts of an unpredictable climate. Here, we assessed the impacts of temperature and crop price, as surrogates... |
Tipo: Peer-Reviewed Reports |
Palavras-chave: Adaptive management; Agent-based model; Agro-ecosystems; Farmers; Pest. |
Ano: 2015 |
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The concept of resilience is widely promoted as a promising notion to guide new approaches to ecosystem and resource management that try to enhance a system's capacity to cope with change. A variety of mechanisms of resilience specific for different systems have been proposed. In the context of resource management those include but are not limited to the diversity of response options and flexibility of the social system to adaptively respond to changes on an adequate scale. However, implementation of resilience-based management in specific real-world systems has often proven difficult because of a limited understanding of suitable interventions and their impact on the resilience of the coupled social-ecological system. We propose an agent-based modeling... |
Tipo: Peer-Reviewed Reports |
Palavras-chave: Adaptive management; Agent-based model; Amudarya; Diversification; Fisheries; Irrigation; Mechanism; Resilience; River basin; Social-ecological system; Water use.. |
Ano: 2007 |
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Spies, Thomas A; USDA Forest Service; tom.spies@oregonstate.edu; White, Eric M.; Oregon State University; eric.white@oregonstate.edu; Kline, Jeffrey D; USDA Forest Service; jkline@fs.fed.us; Fischer, A. Paige; USDA Forest Service; paigefischer@fs.fed.us; Ager, Alan; USDA Forest Service; aager@fs.fed.us; Bailey, John; Oregon State University; john.bailey@oregonstate.edu; Bolte, John; Oregon State University; boltej@engr.orst.edu; Koch, Jennifer; North Carolina State University; kochje@onid.orst.edu; Platt, Emily; Oregon State University; emily.platt@oregonstate.edu; Olsen, Christine S; Oregon State University; christine.olsen@oregonstate.edu; Jacobs, Derric; Oregon State University; jacobsd@onid.orst.edu; Shindler, Bruce; Oregon State University; bruce.shindler@oregonstate.edu; Steen-Adams, Michelle M; University of New England; msteenadams@une.edu; Hammer, Roger; Oregon State University; rhammer@oregonstate.edu. |
Fire-prone landscapes are not well studied as coupled human and natural systems (CHANS) and present many challenges for understanding and promoting adaptive behaviors and institutions. Here, we explore how heterogeneity, feedbacks, and external drivers in this type of natural hazard system can lead to complexity and can limit the development of more adaptive approaches to policy and management. Institutions and social networks can counter these limitations and promote adaptation. We also develop a conceptual model that includes a robust characterization of social subsystems for a fire-prone landscape in Oregon and describe how we are building an agent-based model to promote understanding of this social-ecological system. Our agent-based model, which... |
Tipo: Peer-Reviewed Reports |
Palavras-chave: Agent-based model; CHANS; Coupled human and natural systems; Fire policy; Fire-prone landscapes. |
Ano: 2014 |
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Tian, Guangjin; State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University; tianguangjin@bnu.edu.cn; Qiao, Zhi; State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University; 386656602@qq.com. |
Policy makers and the human decision processes of urban planning have an impact on urban expansion. The behaviors and decision modes of regional authority, real estate developer, resident, and farmer agents and their interactions can be simulated by the analytical hierarchy process (AHP) method. The driving factors are regressed with urban dynamics instead of static land-use types. Agents’ behaviors and decision modes have an impact on the urban dynamic pattern by adjusting parameter weights. We integrate an agent-based model) (ABM) with AHP to investigate a complex decision-making process and future urban dynamic processes. Three policy scenarios for baseline development, rapid development, and green land protection have been applied to predict... |
Tipo: Peer-Reviewed Reports |
Palavras-chave: Agent-based model; Analytical hierarchy process; Guangzhou; Policy makers; Scenario analysis. |
Ano: 2014 |
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Kaye-Blake, William; Li, Frank Y.; Martin, A. McLeish; McDermott, Alan; Neil, Hayley; Rains, Scott. |
Multi-Agent Simulation (MAS) models are intended to capture emergent properties of complex systems that are not amenable to equilibrium analysis. They are beginning to see some use for analysing agricultural systems. The paper reports on work in progress to create a MAS for specific sectors in New Zealand agriculture. One part of the paper focuses on options for modelling land and other resources such as water, labour and capital in this model, as well as markets for exchanging resources and commodities. A second part considers options for modelling agent heterogeneity, especially risk preferences of farmers, and the impacts on decision-making. The final section outlines the MAS that the authors will be constructing over the next few years and the types of... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Multi-agent simulation models; Modelling; Agent-based model; Cellular automata; Decision-making; Crop Production/Industries; Environmental Economics and Policy; Farm Management; Land Economics/Use; Livestock Production/Industries. |
Ano: 2009 |
URL: http://purl.umn.edu/97165 |
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Matias,João; Cerveira,Adelaide; Santos,Cátia; Marta-Costa,Ana Alexandra. |
Resumo: Em Portugal, a disponibilidade de mão de obra tem-se revelado um fator-chave para a viticultura de montanha. Estatísticas mais recentes denotam valores preocupantes que poderão colocar em causa a produção de vinho de qualidade e o atraente conjunto de paisagens vitivinícolas consideradas um recurso potencial para o desenvolvimento do turismo. Por a região duriense ser uma das principais regiões vitivinícolas portuguesas, caracterizada por proeminente e acentuada viticultura de montanha, pretende-se, neste trabalho, simular o comportamento das suas explorações perante alterações do preço de mão de obra, recorrendo-se a modelos baseados em agentes (ABM). Foi ainda usado o software MATLAB para obter funções periódicas ajustadas aos dados... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Agent-based model; Setor vitivinícola; Desempenho; Sustentabilidade; Mão de obra. |
Ano: 2021 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032021000100209 |
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Registros recuperados: 14 | |
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