FLORES: a model to evaluate land-use options at the forest frontier, proceedings of a Conference on Advances in Methodology and Software for Decision Support Systems, 5-7 September 1997, Laxenburg, Austria

Policy issues are central to natural resource management, but the consequences of well-intended policies are not always obvious, especially for land use in frontier areas. A model is proposed to predict the behaviour of individuals in forest communities near the forest frontier, and the resulting impacts on, and response by the ecosystem. The underlying assumption is that individuals behave rationally to maximize their utility, and that their behaviour under various scenarios can thus be predicted. The model, FLORES (Forest Land Oriented Resource Envisioning System), will be spatially explicit, allowing strong empirical tests. Initially, the model will test hypotheses proposed by fellow researchers, and will help identify gaps and deficiencies in existing knowledge. Ultimately, it should help policy-makers and planners better understand consequences of their proposals, and may be implemented as an educational game (cf. SimCity, SimIsle, etc.).

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Bibliographic Details
Main Author: Vanclay, J.K.
Format: Book biblioteca
Language:English
Published: 1997
Subjects:models, land use, evaluation, conferences,
Online Access:https://hdl.handle.net/10568/17795
https://www.cifor.org/knowledge/publication/276
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spelling dig-cgspace-10568-177952016-05-30T17:48:31Z FLORES: a model to evaluate land-use options at the forest frontier, proceedings of a Conference on Advances in Methodology and Software for Decision Support Systems, 5-7 September 1997, Laxenburg, Austria Vanclay, J.K. models land use evaluation conferences Policy issues are central to natural resource management, but the consequences of well-intended policies are not always obvious, especially for land use in frontier areas. A model is proposed to predict the behaviour of individuals in forest communities near the forest frontier, and the resulting impacts on, and response by the ecosystem. The underlying assumption is that individuals behave rationally to maximize their utility, and that their behaviour under various scenarios can thus be predicted. The model, FLORES (Forest Land Oriented Resource Envisioning System), will be spatially explicit, allowing strong empirical tests. Initially, the model will test hypotheses proposed by fellow researchers, and will help identify gaps and deficiencies in existing knowledge. Ultimately, it should help policy-makers and planners better understand consequences of their proposals, and may be implemented as an educational game (cf. SimCity, SimIsle, etc.). 1997 2012-06-04T09:04:37Z 2012-06-04T09:04:37Z Book Vanclay, J.K. 1997. FLORES: a model to evaluate land-use options at the forest frontier, proceedings of a Conference on Advances in Methodology and Software for Decision Support Systems, 5-7 September 1997, Laxenburg, Austria . https://hdl.handle.net/10568/17795 https://www.cifor.org/knowledge/publication/276 en
institution CGIAR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cgspace
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CGIAR
language English
topic models
land use
evaluation
conferences
models
land use
evaluation
conferences
spellingShingle models
land use
evaluation
conferences
models
land use
evaluation
conferences
Vanclay, J.K.
FLORES: a model to evaluate land-use options at the forest frontier, proceedings of a Conference on Advances in Methodology and Software for Decision Support Systems, 5-7 September 1997, Laxenburg, Austria
description Policy issues are central to natural resource management, but the consequences of well-intended policies are not always obvious, especially for land use in frontier areas. A model is proposed to predict the behaviour of individuals in forest communities near the forest frontier, and the resulting impacts on, and response by the ecosystem. The underlying assumption is that individuals behave rationally to maximize their utility, and that their behaviour under various scenarios can thus be predicted. The model, FLORES (Forest Land Oriented Resource Envisioning System), will be spatially explicit, allowing strong empirical tests. Initially, the model will test hypotheses proposed by fellow researchers, and will help identify gaps and deficiencies in existing knowledge. Ultimately, it should help policy-makers and planners better understand consequences of their proposals, and may be implemented as an educational game (cf. SimCity, SimIsle, etc.).
format Book
topic_facet models
land use
evaluation
conferences
author Vanclay, J.K.
author_facet Vanclay, J.K.
author_sort Vanclay, J.K.
title FLORES: a model to evaluate land-use options at the forest frontier, proceedings of a Conference on Advances in Methodology and Software for Decision Support Systems, 5-7 September 1997, Laxenburg, Austria
title_short FLORES: a model to evaluate land-use options at the forest frontier, proceedings of a Conference on Advances in Methodology and Software for Decision Support Systems, 5-7 September 1997, Laxenburg, Austria
title_full FLORES: a model to evaluate land-use options at the forest frontier, proceedings of a Conference on Advances in Methodology and Software for Decision Support Systems, 5-7 September 1997, Laxenburg, Austria
title_fullStr FLORES: a model to evaluate land-use options at the forest frontier, proceedings of a Conference on Advances in Methodology and Software for Decision Support Systems, 5-7 September 1997, Laxenburg, Austria
title_full_unstemmed FLORES: a model to evaluate land-use options at the forest frontier, proceedings of a Conference on Advances in Methodology and Software for Decision Support Systems, 5-7 September 1997, Laxenburg, Austria
title_sort flores: a model to evaluate land-use options at the forest frontier, proceedings of a conference on advances in methodology and software for decision support systems, 5-7 september 1997, laxenburg, austria
publishDate 1997
url https://hdl.handle.net/10568/17795
https://www.cifor.org/knowledge/publication/276
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