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An Agent-Based Model For Studying The Effects Of Sustainable Intensification On Food Security In The Nation State, James Reilly, Terry Dawson, Robin Matthews, Gary Polhill, Pete Smith Jul 2016

An Agent-Based Model For Studying The Effects Of Sustainable Intensification On Food Security In The Nation State, James Reilly, Terry Dawson, Robin Matthews, Gary Polhill, Pete Smith

International Congress on Environmental Modelling and Software

Growth in World’s population, the expansion of human activities and the demand for land has and continues to damage the natural environment. Humans depend on the natural environment for essential life-preserving processes, for example food production. Damage to the environment has serious consequences for national (State) and human security and well-being. One concern is food security and, in particular, whether a growing World population will find enough food to eat. The consequences of using more land and resources to grow more food are an important area of research. The expansion of farming will leave less land for other important uses. …


An Integrated Modelling Approach To Climate Change And Malaria Vulnerability Assessments, Esther Achieng Onyango, Oz Sahin, Cordia Chu, Brendan Mackey Jul 2016

An Integrated Modelling Approach To Climate Change And Malaria Vulnerability Assessments, Esther Achieng Onyango, Oz Sahin, Cordia Chu, Brendan Mackey

International Congress on Environmental Modelling and Software

Malaria is one of the key research concerns in climate change-health relationships. Numerous risk assessments and modelling studies providing evidence that the transmission range of malaria will expand with rising temperatures resulting in adverse impacts on vulnerable communities. This risk is significant in East Africa whereby current research shows an expansion of malaria into the highland areas due to changes in temperature and rainfall. While there exist multiple lines of evidence for the influence of climate change on malaria and the risk posed to vulnerable communities, there is insufficient understanding of the complexity of factors influencing the spread of the …


Advances In Probabilistic And Parallel Agent-Based Simulation: Modelling Climate Change Adaptation In Agriculture, Christian Troost, Thomas Berger Jul 2016

Advances In Probabilistic And Parallel Agent-Based Simulation: Modelling Climate Change Adaptation In Agriculture, Christian Troost, Thomas Berger

International Congress on Environmental Modelling and Software

MPMAS is a software package for farm-level and agent-based simulation in agriculture that has been applied to a variety of agro-economic and bioeconomic case studies around the world in the last twenty years. We present recent advances to the software and its application that focus on uncertainty and sensitivity analysis, massive parallel computing, land market interactions and farm succession. These extensions improve the applicability of agent-based simulation for ex ante assessments of climate adaptation in agriculture.


Simulating Structural Change In Agriculture: Modelling Farming Households And Farm Succession, Christian Troost, Thomas Berger Jul 2016

Simulating Structural Change In Agriculture: Modelling Farming Households And Farm Succession, Christian Troost, Thomas Berger

International Congress on Environmental Modelling and Software

The majority of European farms are family farms. Farm succession, i.e. passing over the responsibility from farm owner and manager to their heir, is an important element of structural change in agriculture. We present a model implementation capturing farming household evolution in an agent- based model and explore the consequences of farm household composition and farm succession on agricultural production, investment and participation in agri-environmental policy schemes.


Swat-Sir Model For Predicting Fate And Transport Of Manure-Borne Pathogens In Fragmented Agriculture-Forest Ecosystems, Andrey K. Guber, David M. Williams, Amy C. Dechen Quinn, Sushil B. Tamrakar, Joan B. Rose, William F. Porter Jun 2014

Swat-Sir Model For Predicting Fate And Transport Of Manure-Borne Pathogens In Fragmented Agriculture-Forest Ecosystems, Andrey K. Guber, David M. Williams, Amy C. Dechen Quinn, Sushil B. Tamrakar, Joan B. Rose, William F. Porter

International Congress on Environmental Modelling and Software

The objective of this study was to develop and qualitatively evaluate a model predicting transmission of manure-borne pathogens between co-grazing cattle and wildlife. The developed add- on module SIR that we coupled with SWAT model included the following new components: wildlife population changes, resource selection, dose-response, compartmental susceptible-infectious- recovered (SIR) module and pathogen shedding. Probabilities of the wild and domestic animal infection by pathogens and numbers of infected animals were computed based on a dose-response approach, which included beta-Poisson and exponential models. Land use and plant biomass predicted with watershed-scale model SWAT were used as the input for the deer …