Climate Change Adaptation Strategies at a Local Scale: The Portuguese Case Study

Int J Environ Res Public Health. 2022 Dec 12;19(24):16687. doi: 10.3390/ijerph192416687.

Abstract

Coastal areas are home to more than 2 billion people around the globe and, as such, are especially vulnerable to climate change consequences. Climate change adaptation has proven to be more effective on a local scale, contributing to a bottom-up approach to the problems related to the changing climate. Portugal has approximately 2000 km of coastline, with 75% of the population living along the coast. Therefore, this research had the main objective of understanding adaptation processes at a local scale, using Portuguese coastal municipalities as a case study. To achieve this goal, document analysis and a questionnaire to coastal municipalities were applied, and the existence of measures rooted in nature-based solutions, green infrastructures, and community-based adaptation was adopted as a variable. The main conclusion from this research is that 87% of the municipalities that answered the questionnaire have climate change adaptation strategies implemented or in development. Moreover, it was possible to conclude that 90% of the municipalities are familiar with the concept of nature-based solutions and all the municipalities with adaptation strategies include green infrastructure. However, it was also possible to infer that community-based adaptation is a concept that most municipalities do not know about or undervalue.

Keywords: coastal areas; community-based adaptation; green infrastructure; nature-based solutions.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acclimatization*
  • Cities
  • Climate Change*
  • Humans
  • Portugal

Grants and funding

This work had the support of national funds through Fundação para a Ciência e a Tecnologia (FCT I.P., Portugal), under the strategic projects UIDB/04292/2020 and UIDP/04292/2020 granted to MARE—Marine and Environmental Sciences Centre, and the project LA/P/0069/2020 granted to the Associate Laboratory ARNET—Aquatic Research Network.