Artigo

What can be learned from using participatory landscape scenarios in Rio Doce State Park, Brazil?

Resumo: Context: The goal of this work is to describe and explain the conditions that trigger, enable or prevent the implementation of preferred land uses by local communities. Objective: The questions this paper addresses are as follows: Is there a set of preferred scenarios for land use change? What triggers, enables and prevents the implementation of preferred land uses? What did we learn by using participatory landscape scenarios? Methods: In order to answer the research questions, we synthesize knowledge from a long-term case study in the buffer zone of the Rio Doce State Park in Brazil by (1) Developing participatory landscape scenarios and spatially explicit models for exploring desirable futures and associated land uses, as seen by local communities; (2) Explaining the conditions that trigger, enable or prevent the implementation of preferred landscape scenarios; and (3) Synthesizing knowledge on research and practice for working towards preferred land use changes. Results: Preferred scenarios for land use change are agroforestry, animal husbandry, tourism and conservation. Although there is biophysical potential and funding available through multiple social and environmental programs, the Rio Doce State Park’s institutional setting is confusing. Although preferred land use scenarios will likely be implemented, participatory landscape approaches require a new, strategic role and leadership by regional institutions. Universities need to bring in social theories and institutional analysis to educate a new generation of landscape stewards. Conclusion: We highlight the role of more responsive social agents and their representative institutions, including the changing role of university-based research and practice for working towards sustainable landscape outcomes. © The Author(s) 2024.

  • Tipo de documento

    Artigo Científico

  • Tema

    Desenvolvimento Sustentável

  • Autor

    Carvalho Ribeiro S.; Fereira E.; Paula L.G.; Rodrigues R.; Drumond M.A.; Purcino H.; Oliveira B.; Moreira V.; Monteiro A.; Fonseca B.; Almeida N.; O’Riordan T.; Azevedo Ú.; Conti A.; Barbosa P.

  • Ano

    2024