Multi-Criteria Area Selection Tool

The multi-criteria area selection tool demonstrator allows users to experiment with a tool for data-driven area selection for marine restoration actions. The demonstrator provides information on methods from systematic conservation planning and how they can be applied to area selection for marine restoration.  

 

Spatial prioritization tool demonstrator

In this demonstration, a spatial prioritization analysis using the restoptr software is used to explore the possibility of identifying and prioritizing restoration sites in two cases, one where fit-for-purpose data is available and one where appropriate data is not available. The aim of the demonstrator is to guide users in how spatial prioritization tools may be implemented conceptually and technically for marine restoration.  

Components of the demonstrator

Information on spatial prioritization tools and methodologies from systematic conservation planning

Data viewer to access and visualize data from two cases

(Meta) data used in the two demonstration cases

Technical information on how to use spatial prioritization in practice

Users can experiment with setting priorities for marine restoration actions (e.g., selecting habitat formers to restore)

Users can experiment with constraints that may limit the areas where restoration actions may be implemented (e.g., due to infrastructure, vessel traffic)

Blue,Topographic,Background,Pattern,With,Topographic,Or,Isolines.

The multi-criteria area selection tool demonstration is conducted for the Madeira archipelago as a small-scale example as the area is geographically constrained and due to the well-described nature of pressures in the area (e.g., high tourism pressures, near-shore aquaculture, and fishing). The demonstration relies primarily on open data accessed through EMODnet Human Activities. In addition, real-time biodiversity information is continuously being collected at local dive centers through the Dive Reporter application Dive Reporter.

How the tool works

The tool is built using the R shiny framework and allows users to interact with map layers and analyzed map layers (outputs from the restoptr framework). Users can easily navigate maps of the area using a drop-down menu, while additional information is provided in tabs on the data layers, analysis, and how to properly develop systematic conservation planning tools through stakeholder engagement. 

Accessing the Lab and BlueCloud

Instructional Video