The Index of Function Suitability (IFS): A new tool for assessing the capacity of landscapes to provide amenity functions

• Autor(a) principal: Pinto-Correia, Teresa
• Data de Publicação: 2012
• Outros Autores: Carvalho-Ribeiro, Sónia
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10174/3549; https://doi.org/10.1016/j.landusepol.2011.05.001
• topic: Index of Function Suitability; Integrated landscape management; Social demands; Amenity functions; Indicators; User based preferences

Integrating social demands into landscape management has been proven difficult because of a lack of suitable measures. In order to address this issue this article describes the development of the Index of Function Suitability (IFS). This offers an integrated conceptual tool for incorporating social demands into landscape management. The IFS links preferences to land cover spatial patterns as it uses quantitative indicators for gauging differences between the preferred landscape patterns by users, for a certain activity related to an amenity function (e.g. hunting), and the land cover patterns of a given rural area (either at the present or from scenarios developed for the future). Introducing the measurement of the difference between the preferred spatial patterns and the landscape patterns occurring in a given landscape is a fundamental conceptual development represented in the IFS. By using the same set of indicators to quantify different land cover patterns, the IFS gauges quantitatively the differences between their spatial patterns, thus providing landscape managers with an indication of the suitability of changing land covers to support the selected amenity functions. In this paper, the conceptual aspects, as well as the methodological steps of the IFS were explained and further applied to one empirical case study in the Alentejo region of Portugal. This paper also examines both the strengths and weaknesses of the IFS approach along with a discussion for improvement.