Ecomosaic Composition and Expected Utility Indices
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522011000100005 |
Resumo: | Forest planning is a major issue for future development of regions, and landscape changes reflect to a large extent land-use/cover patterns related to economic and option's values as driving forces. Managing for reducing variability may have high costs of stability or resilience. Decision theory relies on maximizing an average or expected value of a preference pattern expressed by utility functions. In this paper I discuss quantitative indices bonded to expected utility concepts that may provide diagnosis tools and become generators of the relative extension of the different habitats that compose an ecomosaic. The indices combine characteristic values and context values in contributive values, defined in a normalized measure space. Scenarios of composition for forest planning in the region of Nisa, Portugal, are discussed and benchmarked with standard measures: mean economic value, related to recover costs of forest habitats, and landscape diversity. Situation theory and relevance theory are axiomatic baselines of the abductive process and heuristic procedures here developed. |
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Ecomosaic Composition and Expected Utility IndicesForest planningdecision theorycontributive valuesheuristic procedureNisaPortugalForest planning is a major issue for future development of regions, and landscape changes reflect to a large extent land-use/cover patterns related to economic and option's values as driving forces. Managing for reducing variability may have high costs of stability or resilience. Decision theory relies on maximizing an average or expected value of a preference pattern expressed by utility functions. In this paper I discuss quantitative indices bonded to expected utility concepts that may provide diagnosis tools and become generators of the relative extension of the different habitats that compose an ecomosaic. The indices combine characteristic values and context values in contributive values, defined in a normalized measure space. Scenarios of composition for forest planning in the region of Nisa, Portugal, are discussed and benchmarked with standard measures: mean economic value, related to recover costs of forest habitats, and landscape diversity. Situation theory and relevance theory are axiomatic baselines of the abductive process and heuristic procedures here developed.Unidade de Silvicultura e Produtos Florestais2011-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522011000100005Silva Lusitana v.19 n.1 2011reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522011000100005Casquilho,José Pintoinfo:eu-repo/semantics/openAccess2024-02-06T16:59:20Zoai:scielo:S0870-63522011000100005Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:15:41.223814Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Ecomosaic Composition and Expected Utility Indices |
title |
Ecomosaic Composition and Expected Utility Indices |
spellingShingle |
Ecomosaic Composition and Expected Utility Indices Casquilho,José Pinto Forest planning decision theory contributive values heuristic procedure Nisa Portugal |
title_short |
Ecomosaic Composition and Expected Utility Indices |
title_full |
Ecomosaic Composition and Expected Utility Indices |
title_fullStr |
Ecomosaic Composition and Expected Utility Indices |
title_full_unstemmed |
Ecomosaic Composition and Expected Utility Indices |
title_sort |
Ecomosaic Composition and Expected Utility Indices |
author |
Casquilho,José Pinto |
author_facet |
Casquilho,José Pinto |
author_role |
author |
dc.contributor.author.fl_str_mv |
Casquilho,José Pinto |
dc.subject.por.fl_str_mv |
Forest planning decision theory contributive values heuristic procedure Nisa Portugal |
topic |
Forest planning decision theory contributive values heuristic procedure Nisa Portugal |
description |
Forest planning is a major issue for future development of regions, and landscape changes reflect to a large extent land-use/cover patterns related to economic and option's values as driving forces. Managing for reducing variability may have high costs of stability or resilience. Decision theory relies on maximizing an average or expected value of a preference pattern expressed by utility functions. In this paper I discuss quantitative indices bonded to expected utility concepts that may provide diagnosis tools and become generators of the relative extension of the different habitats that compose an ecomosaic. The indices combine characteristic values and context values in contributive values, defined in a normalized measure space. Scenarios of composition for forest planning in the region of Nisa, Portugal, are discussed and benchmarked with standard measures: mean economic value, related to recover costs of forest habitats, and landscape diversity. Situation theory and relevance theory are axiomatic baselines of the abductive process and heuristic procedures here developed. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-01-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522011000100005 |
url |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522011000100005 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522011000100005 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Unidade de Silvicultura e Produtos Florestais |
publisher.none.fl_str_mv |
Unidade de Silvicultura e Produtos Florestais |
dc.source.none.fl_str_mv |
Silva Lusitana v.19 n.1 2011 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799137256318959616 |