Discussing landscape compositional scenarios generated with maximization of non-expected utility decision models based on weighted entropies

Detalhes bibliográficos
Autor(a) principal: Casquilho, José Pinto
Data de Publicação: 2017
Outros Autores: Rego, Francisco Castro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/13724
Resumo: Concept Paper
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spelling Discussing landscape compositional scenarios generated with maximization of non-expected utility decision models based on weighted entropiesdecision modelsnon-expected utility methodsweighted Shannon entropyweighted Gini-Simpson indexeconomic valueslandscape diversityprecautionary approachlandscape servicessystem manifoldConcept PaperThe search for hypothetical optimal solutions of landscape composition is a major issue in landscape planning and it can be outlined in a two-dimensional decision space involving economic value and landscape diversity, the latter being considered as a potential safeguard to the provision of services and externalities not accounted in the economic value. In this paper, we use decision models with different utility valuations combined with weighted entropies respectively incorporating rarity factors associated to Gini-Simpson and Shannon measures. A small example of this framework is provided and discussed for landscape compositional scenarios in the region of Nisa, Portugal. The optimal solutions relative to the different cases considered are assessed in the two-dimensional decision space using a benchmark indicator. The results indicate that the likely best combination is achieved by the solution using Shannon weighted entropy and a square root utility function, corresponding to a risk-averse behavior associated to the precautionary principle linked to safeguarding landscape diversity, anchoring for ecosystem services provision and other externalities. Further developments are suggested, mainly those relative to the hypothesis that the decision models here outlined could be used to revisit the stability-complexity debate in the field of ecological studiesMDPIRepositório da Universidade de LisboaCasquilho, José PintoRego, Francisco Castro2017-06-06T13:40:48Z20172017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/13724eng"Entropy". ISSN 1099-4300. 19 (2017) 661099-430010.3390/e19020066info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-06T14:43:49Zoai:www.repository.utl.pt:10400.5/13724Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:59:40.101443Repositório 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 Discussing landscape compositional scenarios generated with maximization of non-expected utility decision models based on weighted entropies
title Discussing landscape compositional scenarios generated with maximization of non-expected utility decision models based on weighted entropies
spellingShingle Discussing landscape compositional scenarios generated with maximization of non-expected utility decision models based on weighted entropies
Casquilho, José Pinto
decision models
non-expected utility methods
weighted Shannon entropy
weighted Gini-Simpson index
economic values
landscape diversity
precautionary approach
landscape services
system manifold
title_short Discussing landscape compositional scenarios generated with maximization of non-expected utility decision models based on weighted entropies
title_full Discussing landscape compositional scenarios generated with maximization of non-expected utility decision models based on weighted entropies
title_fullStr Discussing landscape compositional scenarios generated with maximization of non-expected utility decision models based on weighted entropies
title_full_unstemmed Discussing landscape compositional scenarios generated with maximization of non-expected utility decision models based on weighted entropies
title_sort Discussing landscape compositional scenarios generated with maximization of non-expected utility decision models based on weighted entropies
author Casquilho, José Pinto
author_facet Casquilho, José Pinto
Rego, Francisco Castro
author_role author
author2 Rego, Francisco Castro
author2_role author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Casquilho, José Pinto
Rego, Francisco Castro
dc.subject.por.fl_str_mv decision models
non-expected utility methods
weighted Shannon entropy
weighted Gini-Simpson index
economic values
landscape diversity
precautionary approach
landscape services
system manifold
topic decision models
non-expected utility methods
weighted Shannon entropy
weighted Gini-Simpson index
economic values
landscape diversity
precautionary approach
landscape services
system manifold
description Concept Paper
publishDate 2017
dc.date.none.fl_str_mv 2017-06-06T13:40:48Z
2017
2017-01-01T00:00:00Z
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://hdl.handle.net/10400.5/13724
url http://hdl.handle.net/10400.5/13724
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv "Entropy". ISSN 1099-4300. 19 (2017) 66
1099-4300
10.3390/e19020066
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv 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
repository.mail.fl_str_mv
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