Assessing how green space types affect ecosystem services delivery in Porto, Portugal

• Tipo: Artigo em Revista Científica Internacional
• Data: 2018

Autores

Marisa Graça (Autor) Outra; Paulo Alves (Autor) Outra; João F Gonçalves (Autor) Outra; David Nowak (Autor) Outra; Robert Hoehn (Autor) Outra; Paulo Farinha Marques (Autor) FCUP; Mario Cunha (Autor) FCUP

Revista

Título: Landscape and Urban Planning

Vol. 170

Páginas: 195-208

ISSN: 0169-2046

Editora: Elsevier

Indexação

ISI Web of Knowledge - 56 Citações

Scopus - 61 Citações

Outras Informações

ID Authenticus: P-00N-9XF

DOI: 10.1016/j.landurbplan.2017.10.007

Abstract (EN): Significant advances have been made in identifying, quantifying and valuing multiple urban ecosystem services (UES), yet this knowledge remains poorly implemented in urban planning and management. One of the reasons for this low implementation is the insufficient thematic and spatial detail in UES research to provide guidance for urban planners and managers. Acknowledging how patterns of UES delivery are related with vegetation structure and composition in urban green areas could help these stakeholders to target structural variables that increase UES provision. This investigation explored how different types of urban green spaces influence UES delivery in Porto, a Portuguese city, and how this variation is affected by a socioeconomic gradient. A stepwise approach was developed using two stratification schemes and a modelling tool to estimate urban forest structure and UES provision. This approach mapped explicit cold and hotspots of UES provision and discriminated the urban forest structural variables that influence UES at the local scale. Results revealed that different types of green spaces affect UES delivery as a direct result of the influence of structural variables of the urban forest. Furthermore, the uneven distribution of green spaces types across socioeconomic strata alters UES delivery across the city. This case study illustrates how a methodology adaptable to other geographic contexts can be used to map and analyze coupled social and ecological patterns, offering novel insights that are simple to understand and apply by urban planners and managers.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 14