Project description
New biodiversity monitoring tools
Monitoring wildlife is spatially and temporally fragmented, taxonomically biased, and lacks integration in Europe. All this prevents the implementation of the EU Biodiversity Strategy for 2030 and the Birds and Habitats Directives. The EU-funded MAMBO project will develop, test, and implement new tools for the cost-effective monitoring of conservation status and ecological requirements of protected species and habitats. MAMBO will combine the technical expertise of computer science, remote sensing, social science expertise on human-technology interactions, environmental economy, citizen science, and biological expertise on species, ecology, and conservation biology. The project will engage stakeholders in identifying biodiversity monitoring needs and investigate the establishment of a virtual lab to automate workflow deployment and efficient computing of the vast data streams.
Objective
EU policies, such as the EU biodiversity strategy 2030 and the Birds and Habitats Directives, demand unbiased, integrated and regularly updated biodiversity and ecosystem service data. However, efforts to monitor wildlife and other species groups are spatially and temporally fragmented, taxonomically biased, and lack integration in Europe. To bridge this gap, the MAMBO project will develop, test and implement enabling tools for monitoring conservation status and ecological requirements of species and habitats for which knowledge gaps still exist. MAMBO brings together the technical expertise of computer science, remote sensing, social science expertise on human-technology interactions, environmental economy, and citizen science, with the biological expertise on species, ecology, and conservation biology. MAMBO is built around stakeholder engagement and knowledge exchange (WP1) and the integration of new technology with existing research infrastructures (WP2). MAMBO will develop, test, and demonstrate new tools for monitoring species (WP3) and habitats (WP4) in a co-design process to create novel standards for species and habitat monitoring across the EU and beyond. MAMBO will work with stakeholders to identify user and policy needs for biodiversity monitoring and investigate the requirements for setting up a virtual lab to automate workflow deployment and efficient computing of the vast data streams (from on the ground sensors, and remote sensing) required to improve monitoring activities across Europe (WP4). Together with stakeholders, MAMBO will assess these new tools at demonstration sites distributed across Europe (WP5) to identify bottlenecks, analyze the cost-effectiveness of different tools, integrate data streams and upscale results (WP6). This will feed into the co-design of future, improved and more cost-effective monitoring schemes for species and habitats using novel technologies (WP7), and thus lead to a better management of protected sites and species.
Fields of science
- engineering and technologyenvironmental engineeringremote sensing
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesbiological sciencesecologyecosystems
- social sciencespolitical sciencespolitical policiescivil society
- natural sciencescomputer and information sciencessoftwaresoftware applicationsvirtual reality
Keywords
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
8000 Aarhus C
Denmark