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Discussing landscape compositional scenarios generated with maximization of non-expected utility decision models based on weighted entropies
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Orientador(es)
Resumo(s)
The 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 studies
Descrição
Concept Paper
Palavras-chave
decision models non-expected utility methods weighted Shannon entropy weighted Gini-Simpson index economic values landscape diversity precautionary approach landscape services system manifold
Contexto Educativo
Citação
"Entropy". ISSN 1099-4300. 19 (2017) 66
Editora
MDPI