safeGUARDing biodivErsity aNd critical ecosystem services across sectors and scales

Food, Bioeconomy & Natural ResourcesHORIZON-RIAID: 101060693
EC Contribution
€45,569
Consortium Size
18 orgs
Start Year
2022
Summary

GUARDEN’s main mission is to safeguard biodiversity and its contributions to people by bringing them at the forefront of policy and decision-making. This will be achieved through the development of user-oriented Decision Support Applications (DSAs), and leveraging on Multi-Stakeholder Partnerships (MSPs). They will take into account policy and management objectives and priorities across sectors and scales, build consensus to tackle data gaps, analytical uncertainties or conflicting objectives, and assess options to implement adaptive transformative change. To do so, GUARDEN will make use of a suite of methods and tools using Deep Learning, Earth Observation, and hybrid modelling to augment the amount of standardized and geo-localized biodiversity data, build-up a new generation of predictive models of biodiversity and ecosystem status indicators under multiple pressures (human and climate), and propose a set of complementary ecological indicators likely to be incorporated into local management and policy. The GUARDEN approach will be applied at sectoral case studies involving end users and stakeholders through Multi-Stakeholder Partnerships, and addressing critical cross-sectoral challenges (at the nexus of biodiversity and deployment of energy/transport infrastructure, agriculture, and coastal urban development). Thus, the GUARDEN DSAs shall help stakeholders engaged in the challenge to improve their holistic understanding of ecosystem functioning, biodiversity loss and its drivers and explore the potential ecological and societal impacts of alternative decisions. Upon the acquisition of this new knowledge and evidence, the DSAs will help end-users not only navigate but also (re-)shape the policy landscape to make informed all-encompassing decisions through cross-sectoral integration.

Consortium (18)

Project Results (40)

Source: CORDIS, the EU research results database.

Publications (17)
Efficient Speech Detection in Environmental Audio Using Acoustic Recognition and Knowledge Distillation
Sensors· 2024DOI
Drew Priebe, Burooj Ghani and Dan Stowell
LifeCLEF 2024 teaser: Species Identification and Prediction Challenges
Advances in Information Retrieval· 2024DOI
Joly & al
Mapping global orchid assemblages with deep learning provides novel conservation insights
Ecological Informatics· 2024DOI
Joaquim Estopinan, Maximilien Servajean, Pierre Bonnet, Alexis Joly, François Munoz
Modelling Species Distributions with Deep Learning to Predict Plant Extinction Risk and Assess Climate Change Impacts
· 2024DOI
Estopinan, Joaquim; Bonnet, Pierre; Servajean, Maximilien; Munoz, François; Joly, Alexis
A framework for assessing changes in ecosystem services within the priorities of the new EU Green Deal.
Proceedings of the 11th Congress of the Hellenic Ecological Society· 2023
Lorilla, R.S. & Drakou, E.
A predictive approach to determining the joint conservation status of species
UM PhD Thesis· 2023
Joaquim Estopina
Decision-making in citizen science technologies: a spectrum of possibilities
Conference XIX Biennial IASC Conference 'The Commons We Want: Between Historical Legacies and Future Collective Actions'· 2023
Karen Soacha Godoy and Jaume Piera
Developing and Validating Tools for the Automated Analysis and Enhancement of Online Discussions
Frontiers in Artificial Intelligence and Applications· 2023DOI
Bjoern Komander, Jesus Cerquides, Jaume Piera
Expert Finding for Citizen Science
Artificial Intelligence Research and Development· 2023DOI
Bjoern Komander, Jesus Cerquides, Jaume Piera, Jeffrey Chan, Azadeh Alavi
Mapping joint species distribution model predictions on the known species interactions space to increase causal understanding.
European Conference on Ecological Modelling - ECOLOGICAL MODELLING FOR TRANSFORMATION· 2023
Christophe Van Neste, Quentin Groom
Overview of GeoLifeCLEF 2023: Species Composition Prediction with High Spatial Resolution at Continental Scale Using Remote Sensing
Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023)· 2023
Christophe Botella, Benjamin Deneu, Diego Marcos Gonzalez, Maximilien Servajean, Théo Larcher, César Leblanc, Joachim Estopinan, Pierre Bonnet, Alexis Joly
Overview of LifeCLEF 2023: evaluation of AI models for the identification and prediction of birds, plants, snakes and fungi
Experimental IR Meets Multilinguality, Multimodality, and Interaction· 2023DOI
Alexis Joly, Christophe Botella, Lukáš Picek, Stefan Kahl, Hervé Goëau, Benjamin Deneu, Diego Marcos, Joaquim Estopinan, César Leblanc, Théo Larcher
Overview of PlantCLEF 2023: Image-based Plant Identification at Global Scale
Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023)· 2023
Hervé Goëau, Pierre Bonnet, and Alexis Joly
Quantifying spatio-temporal patterns of forest fragmentation in Hymettus Mountain, Greece
11th Congress of the Hellenic Ecological Society· 2023
Lorilla, R.S. & Drakou, E.
Spatio-temporal changes of forest boundaries with the use of landscape metrics, at the geographical edges of the Greek inland
11th Congress of the Hellenic Ecological Society· 2023
Boutsios, S. & Drakou, E.
Synergizing Digital, Biological, and Participatory Sciences for Global Plant Species Identification: Enabling access to a worldwide identification service
Biodiversity Information Science and Standards· 2023DOI
P. Bonnet, A. Affouard, J.-Ch. Lombardo, M. Chouet, H. Gresse, V. Hequet, R. Palard, M. Fromholtz, V. Espitalier, H. Goëau, B. Deneu, C. Botella, J. Estopinan, C. Leblanc, M. Servajean, F. Munoz, A. Joly
The GeoLifeCLEF 2023 Dataset to evaluate plant species distribution models at high spatial resolution across Europe
https://hal.science/hal-04152362· 2023DOI
Botella, Christophe; Deneu, Benjamin; Marcos, Diego; Servajean, Maximilien; Estopinan, Joaquim; Larcher, Théo; Leblanc, César; Bonnet, Pierre; Joly, Alexis
Deliverables (22)
Websites, patent fillings, videos etc.
Other Results (1)
Periodic Reporting for period 1 - GUARDEN (safeGUARDing biodivErsity aNd critical ecosystem services across sectors and scales)