MAS-NBS: Multi-tiered Approach to assess Suitability for NBS
This tool aims to support the identification of areas with suitable conditions for implementing blue Nature-based Solutions
Nature-based Solutions (NBS) comprise various ecosystem-based approaches (e.g., ecosystem protection and ecosystem-based management) that work with and enhance nature to address multiple challenges, including biodiversity loss and climate change impacts. To maximise the success of blue NBS in helping us face those challenges, we need to carefully consider how to design and where to implement them.
To help understand where favourable conditions are for implementing interventions in marine and coastal ecosystems, MaCoBioS developed a new Multi-tiered Approach to assess Suitability for NBS (MAS-NBS). MAS-NBS provides a framework to identify suitable areas in which to implement blue NBS by combining environmental, social, economic, and governance dimensions. The framework is composed of three tiers that build upon each other and use different scales of analysis:
Within MaCoBioS we have applied the two first tiers of MAS-NBS to two important ecosystems in our ecoregions, namely seagrass in the Western Mediterranean and kelp forest in Northern Europe. You can view the results of these applications in our dedicated WebGIS.
So that you are able to apply MAS-NBS to your own area of interest, we have provided the following:
What is MAS-NBS?
MAS-NBS can act as a decision-support tool that helps to identify spatial areas with favourable conditions for supporting NBS design and implementation in a specific marine or coastal area.
Why should MAS-NBS be used?
MAS-NBS is a methodological framework designed to integrate environmental, social, economic, and governance dimensions for mapping suitable areas for blue NBS implementation. Choosing the best possible areas for intervention will increase the ecosystem’s chances of success and MAS-NBS can help inform decision-makers in prioritising strategic actions.
When should MAS-NBS be used?
Ideally, MAS-NBS should be applied early in strategic prioritisation planning and in problem framing to inform management options.
How does MAS-NBS work?
MAS-NBS integrates environmental suitability mapping (Tier 1) with key outcomes from risk assessment modelling (Tier 2) to identify and predict present and future areas where a specific ecosystem occurs and is likely to persist, the pressures it faces (and could face under mid- and long-term scenarios), and to prioritise areas for intervention. MAS-NBS then combines this information with context-specific social, economic, and governance features (Tier 3) to inform whether areas have the enabling conditions for real-world implementation and successful intervention actions.
What is the output of MAS-NBS?
The output consists of a wide array of spatial data and visualisations for the examined ecosystems, climate change scenarios, and targeted region. MAS-NBS can be applied at different spatial and temporal scales, while considering different ecosystems of interest and climate change scenarios based on the aim of the analysis and available data.
What do you need to use MAS-NBS?
To use MAS-NBS, the following are required:
(1) A clear notion of the key environmental variables that determine an ecosystem distribution;
(2) Spatial data at the relevant scale for ecosystem distribution, endogenic and exogenic variables, and projections of these over time under different climate change scenarios;
(3) Appropriate environmental suitability mapping and risk assessment modelling tools, and ways to combine these data;
(4) Awareness of the key enabling conditions for successfully implementing interventions and a clear strategy to identify context-specific social, economic, and governance information for priority areas, including a participatory strategy.
Meet the researchers:
This framework has been developed as a collaborative activity across the MaCoBioS consortium, led by Dr Elisa Furlan, Dr Hung Vuong Pham, Ozan Ozkiper, Elena Allegri, and Angelica Bianconi at the Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC) Daisy Taylor and Dr. Cindy Cornet at the University of Portsmouth (UoP)