With expertise in science communication, dissemination and exploitation, Pensoft became part of this project dedicated to new technologies for species and habitat monitoring across Europe
The European Union puts a great value in monitoring the health of ecosystems, as comprehensive mapping can aid policy makers’ work in adopting appropriate legislation for nature conservation. It allows for understanding the impact of human activities and making informed decisions for effective management of nature’s resources. This is particularly important for the EU, as it has set ambitious goals to halt biodiversity loss and restore degraded ecosystems by 2030, as outlined in the EU Biodiversity Strategy for 2030.
Effective biodiversity monitoring can help the EU track progress towards these goals, assess the effectiveness of conservation policies and initiatives, and identify emerging threats to biodiversity.
Despite this awareness, efforts to monitor animals and plants remain spatially and temporally fragmented. This lack of integration regarding data and methods creates a gap in biodiversity monitoring, which can negatively impact policy-making. Today, modern technologies such as drones, artificial intelligence algorithms, or remote sensing are still not widely used in biodiversity monitoring.
MAMBO project (Modern Approaches to the Monitoring of BiOdiversity) recognises this need and aims to develop, test, and implement enabling tools for monitoring conservation status and ecological requirements of species and habitats. Having started in late 2022, the project is set to run for four years until September 2026.
Pensoft – with its proven expertise in communicating scientific results – is committed to amplifying the impact of MAMBO. Pensoft supports the project through tailored approaches to communication, dissemination and exploitation so as to reach the most appropriate target audience and achieve maximum visibility of the project.
Deep-dive into the project
In order to enrich the biodiversity monitoring landscape, MAMBO will implement a multi-disciplinary approach by utilising the technical expertise in the fields of computer science, remote sensing, and social science expertise on human-technology interactions, environmental economy, and citizen science. This will be combined with knowledge on species, ecology, and conservation biology.
More specifically, the project will develop, evaluate and integrate image and sound recognition-based AI solutions for EU biodiversity monitoring from species to habitats as well as promote the standardised calculation and automated retrieval of habitat data using deep learning and remote sensing.
“Technical breakthroughs in the realm of high spatial resolution remote sensing set the future of ecological monitoring and can greatly enrich traditional approaches to biodiversity monitoring.”
In order to achieve its goals, the project will test existing tools in combination with MAMBO-developed new technologies at the project’s demonstration sites geographically spread across Europe. This will contribute to an integrated European biodiversity monitoring system with potential for dynamic adaptations.
Pensoft is part of MAMBO’s Work Package 7 (WP7): “Science-policy interface and dissemination”, led by Helmholtz Centre for Environmental Research (UFZ). The work package is dedicated to providing a distinct identity of the project and its services through branding, visualisation and elaborated dissemination and communication strategy.
Within WP7, Pensoft will also be taking care after the launch of an open-science collection of research outputs in the scholarly journal Research Ideas and Outcomes (RIO).
Full list of partners
- Aarhus University (AU)
- Naturalis Biodiversity Centre (Naturalis)
- Helmholtz Centre for Environmental Research (UFZ)
- National Institute for Research in Digital Science and Technology (INRIA)
- University of Amsterdam (UvA)
- The French Agricultural Research Centre for International Development (CIRAD)
- Pensoft Publishers (Pensoft)
- Ecostack Innovations Limited (EcoINN)
- University of Reading (UREAD)
- UK Centre For Ecology & Hydrology (UKCEH)