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(Re)Planning of green infrastructure and nature-based solutions for sustainable urban transition
- Publication Year :
- 2022
-
Abstract
- Landscape approaches are important for planning of urban sprawl in peri-urban landscapes, continuously emerging in many metropolitan regions. In the case of Stockholm Region, land-take and incremental urbanisation is a continouous process, while the regional development plan has ambitions to steer the overall development in a sustainable direction. This plan contains a green infrastructure effort building on a set of green wedges, mainly serving as support to the needs of the city and suburbs and their citizens. This initiative differ from the later green infrastructure action plan provided by the county administrative board, related to the EU biodiversity strategy and guidelines. The latter has a different approach, mainly targeting biodiversity goals as well as ecosystem services. These approaches differ from each other in several ways while both have unclear roles when it comes to municipal planning on different levels. Furthermore, the municipalities have their own initiatives when it comes to green infrastructure and nature-based solutions and it is not clear how the different planning tiers are linked to each other, to planning and management, and to multifunctional landscapes. The aim of the REPLAN project is to investigate how the different green infrastructure initiatives are linked to planning, to each other on different scales, and whether they can serve multi-functional landscapes when it comes to biodiversity and different ecosystem services. The REPLAN project involves stakeholders and practitioners on different planning levels for co-producing knowledge, methods and strategies for green infrastructure and nature-based solutions to serve as tools for sustainable transition of metropolitan areas and their peri-urban landscapes.<br />QCR 20220819
Details
- Database :
- OAIster
- Notes :
- English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1372243511
- Document Type :
- Electronic Resource