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Modelling Farmer Decision Making For Natural Resource Management Outcomes, Brett A. Bryan, J. Ward, Neville D. Crossman
Modelling Farmer Decision Making For Natural Resource Management Outcomes, Brett A. Bryan, J. Ward, Neville D. Crossman
International Congress on Environmental Modelling and Software
This paper presents a conceptual modelling and simulation methodology that incorporates dryland farmer decision making into regional- and landscape-level natural resource management (NRM) planning. Decision making for many NRM on ground actions is made at the farm level so it makes sense to incorporate farmer behaviour into regional planning for meeting regional environmental objectives. Our model applies multi-attribute farmer utility functions within an agent-based simulation environment to model temporal change in land use and landscapes resulting from farmer implementation of on ground NRM actions. Farmer decision profiles are characterized using a survey of over 500 farmers. Landscape futures can also …
Rank-Equivalence Method For Sensitivity Analysis Of An Integrated Model Of A River Catchment, J. K. Ravalico, Graeme C. Dandy, Holger R. Maier
Rank-Equivalence Method For Sensitivity Analysis Of An Integrated Model Of A River Catchment, J. K. Ravalico, Graeme C. Dandy, Holger R. Maier
International Congress on Environmental Modelling and Software
Integrated Assessment Modelling (IAM) incorporates knowledge from different disciplines to provide an overarching assessment of the impact of different management decisions. Integrated models generally require numerous parameters from varying sources, many not known with certainty. Rapid increases in model size and complexity, particularly in the case of integrated models for decision-making, pose new challenges for effective sensitivity analysis. Some of the identified shortcomings of existing sensitivity analysis methods in the context of IAM include: computational inefficiency, failure to assess parameter interactions, excessive data requirements (e.g. requiring parameter probability distributions), assumptions of model linearity and monotonicity and, in particular, difficulty of …
Without A Common Mental Model A Dss Makes No Sense (A New Approach To Frame Analysis Using Mental Models), M. J. Kolkman, A. Van Der Veen
Without A Common Mental Model A Dss Makes No Sense (A New Approach To Frame Analysis Using Mental Models), M. J. Kolkman, A. Van Der Veen
International Congress on Environmental Modelling and Software
In order to understand why the use of model software and its results in decision making is surrounded with a diversity of problems, this paper presents a new theoretical framework. The framework is based on the notions of frame and mental model that are commonly used in social sciences and psychology. Mental models are found to guide the activities of knowledge producing scientists, DSS builders, decision makers and stakeholders. These activities are described in a modelling cycle and a decision making cycle. The model – both software and mental – functions as an intermediate for knowledge transfer. The theoretical framework, …
A Protocol For The Development, Evaluation And Application Of Environmental Models In Decision Making, Noha Gaber, Pasky Pascual, Gary Foley, Neil Stiber, Elsie Sunderland
A Protocol For The Development, Evaluation And Application Of Environmental Models In Decision Making, Noha Gaber, Pasky Pascual, Gary Foley, Neil Stiber, Elsie Sunderland
International Congress on Environmental Modelling and Software
Models have emerged as essential tools in environmental management, whether used to further the understanding of complex environmental processes or to inform decisions for environmental planning, remediation, protection or regulation. However, their utility aside, there is also an acknowledgment of their limitations. The question is not whether or not to use models, but rather how best to develop and use models to arrive at credible, defensible and robust decisions and what attributes make a model useful for a given situation. To understand the role of models and decision support tools in environmental management, we must first consider the different types …
Modelling Farmer Decision Making For Natural Resource Management Outcomes, Brett A. Bryan, J. Ward, Neville D. Crossman
Modelling Farmer Decision Making For Natural Resource Management Outcomes, Brett A. Bryan, J. Ward, Neville D. Crossman
International Congress on Environmental Modelling and Software
This paper presents a conceptual modelling and simulation methodology that incorporates dryland farmer decision making into regional- and landscape-level natural resource management (NRM) planning. Decision making for many NRM on ground actions is made at the farm level so it makes sense to incorporate farmer behaviour into regional planning for meeting regional environmental objectives. Our model applies multi-attribute farmer utility functions within an agent-based simulation environment to model temporal change in land use and landscapes resulting from farmer implementation of on ground NRM actions. Farmer decision profiles are characterized using a survey of over 500 farmers. Landscape futures can also …
Rank-Equivalence Method For Sensitivity Analysis Of An Integrated Model Of A River Catchment, J. K. Ravalico, Graeme C. Dandy, Holger R. Maier
Rank-Equivalence Method For Sensitivity Analysis Of An Integrated Model Of A River Catchment, J. K. Ravalico, Graeme C. Dandy, Holger R. Maier
International Congress on Environmental Modelling and Software
Integrated Assessment Modelling (IAM) incorporates knowledge from different disciplines to provide an overarching assessment of the impact of different management decisions. Integrated models generally require numerous parameters from varying sources, many not known with certainty. Rapid increases in model size and complexity, particularly in the case of integrated models for decision-making, pose new challenges for effective sensitivity analysis. Some of the identified shortcomings of existing sensitivity analysis methods in the context of IAM include: computational inefficiency, failure to assess parameter interactions, excessive data requirements (e.g. requiring parameter probability distributions), assumptions of model linearity and monotonicity and, in particular, difficulty of …
Without A Common Mental Model A Dss Makes No Sense (A New Approach To Frame Analysis Using Mental Models), M. J. Kolkman, A. Van Der Veen
Without A Common Mental Model A Dss Makes No Sense (A New Approach To Frame Analysis Using Mental Models), M. J. Kolkman, A. Van Der Veen
International Congress on Environmental Modelling and Software
In order to understand why the use of model software and its results in decision making is surrounded with a diversity of problems, this paper presents a new theoretical framework. The framework is based on the notions of frame and mental model that are commonly used in social sciences and psychology. Mental models are found to guide the activities of knowledge producing scientists, DSS builders, decision makers and stakeholders. These activities are described in a modelling cycle and a decision making cycle. The model – both software and mental – functions as an intermediate for knowledge transfer. The theoretical framework, …
A Protocol For The Development, Evaluation And Application Of Environmental Models In Decision Making, Noha Gaber, Pasky Pascual, Gary Foley, Neil Stiber, Elsie Sunderland
A Protocol For The Development, Evaluation And Application Of Environmental Models In Decision Making, Noha Gaber, Pasky Pascual, Gary Foley, Neil Stiber, Elsie Sunderland
International Congress on Environmental Modelling and Software
Models have emerged as essential tools in environmental management, whether used to further the understanding of complex environmental processes or to inform decisions for environmental planning, remediation, protection or regulation. However, their utility aside, there is also an acknowledgment of their limitations. The question is not whether or not to use models, but rather how best to develop and use models to arrive at credible, defensible and robust decisions and what attributes make a model useful for a given situation. To understand the role of models and decision support tools in environmental management, we must first consider the different types …