safeGUARDing biodivErsity aNd critical ecosystem services across sectors and scales

Informazioni relative al progetto

GUARDEN

ID dell’accordo di sovvenzione: 101060693

DOI

10.3030/101060693

Progetto chiuso

Data della firma CE 8 Giugno 2022

Data di avvio 1 Novembre 2022

Data di completamento 31 Ottobre 2025

Finanziato da

• Food, Bioeconomy Natural Resources, Agriculture and Environment

Costo totale

€ 4 556 888,75

Contributo UE

€ 4 556 888,75

Coordinato da

CENTRE DE COOPERATION INTERNATIONALE EN RECHERCHE AGRONOMIQUE POUR LEDEVELOPPEMENT - C.I.R.A.D. EPIC
France

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Websites, patent fillings, videos etc. (4)

D2.1 - MSP and functional requirements elicitation and analysis

MSP and functional requirements elicitation and analysis (DRAXIS) [M14]: Version including the MSP guidelines, and the methodological framework of the co-creation processes, providing the assessment of end-user needs according to the results and the produced matrixes.

D6.3 - Capacity building, literacy and trainings

Final version presenting the implemented capacity building activities and training material.

D6.1 - Dissemination, communication and data governance plan - Initial

Initial report presenting the dissemination, communication, and data governance plan and undertaken activities.

D6.2 - Dissemination, communication and data governance plan - Final

Updated report presenting the dissemination, communication, and data governance plan and undertaken activities.

Documents, reports (6)

D5.3 - Performance evaluation, impact assessment and replication guidelines - Initial

Initial report on the performance evaluation and impact analysis, as well as the replication guidelines.

D5.1 - Planning and setup handbook, and operational management report - Initial

Initial version including the planning and setup handbook

D2.2 - Case studies requirements, dimensions and target KPIs - Initial

Case studies requirements, dimensions and target KPIs (DRAXIS) [M07]: Initial version including the initial collection of (non-)functional requirements, selected KPIs and target values, following up on analysis and feedback from the technical deliverables and end-users’ final requirements.

D5.4 - Performance evaluation, impact assessment and replication guidelines - Final

Final report on the performance evaluation and impact analysis, as well as the replication guidelines.

D2.4 - Policy and impact indicators for biodiversity and NCPs

Version including the list of potential indicators based on the literature review, with the selected ones.

D2.3 - Case studies requirements, dimensions and target KPIs - Final

Final version including the initial collection of (non-)functional requirements, selected KPIs and target values, following up on analysis and feedback from the technical deliverables and end-users’ final requirements.

Other (11)

D4.3 - Integrated GUARDEN system and DSAs - Intial

Initial version of the integrated GUARDEN system and the five developed DSAs

D2.5 - GUARDEN system architecture design and technical specifications - Initial

GUARDEN system architecture design and technical specifications (INRIA) [M09]: Initial version with the technical specifications.

D3.3 - Improving species assemblages' prediction through species interactions - Initial

Initial version including the construction of species interaction networks.

D3.6 - Future trajectories of biodiversity and ecosystem services

Future trajectories of biodiversity and ecosystem services (HUA) [M25]: Version including data for future states of ecosystem service supply, flow and demand at the European and case studies levels.

D3.1 - Community-level species identification services

Community-level species identification services (NBC) [M22]: Version including the recognition algorithms of the web services of Community-level Species Identification.

D4.4 - Integrated GUARDEN system and DSAs - Final

Final version of the integrated GUARDEN system and the five developed DSAs, including the feedback received after users’ experience.

D4.2 - GUARDEN ICT tools - Final

Final version of the GUARDEN ICT tools after integrating the feedback received from the first validation cycle during the case studies

D4.1 - GUARDEN ICT tools - Initial

Initial version of the GUARDEN ICT tools

D3.5 - Maps of biodiversity indicators, habitats and ecosystem level

Maps of biodiversity indicators, habitats and ecosystem level (INRIA) [M24]: Version (after the first case studies’ cycle) of maps of biodiversity indicators, habitats and ecosystem levels.

D2.6 - GUARDEN system architecture design and technical specifications - Final

GUARDEN system architecture design and technical specifications (INRIA) [M18]: Final (B) version with the technical specifications and with the final GUARDEN system architecture.

D3.7 - Enhanced planning and management of ecosystem services

Enhanced planning and management of ecosystem services (HUA) [M26]: Version including the analysis of a set of management alternatives for ecosystem services and the plug-in function for the GUARDEN system, for the visualisation of scenarios.

Demonstrators, pilots, prototypes (1)

D5.2 - Planning and setup handbook, and operational management report - Final

Final version presenting the GUARDEN system validation and field trial results of the 5 undertaken case studies.

Pubblicazioni

Conference proceedings (18)

Mapping biodiversity at very-high resolution in Europe

Autori: César Leblanc, Lukas Picek, Benjamin Deneu, Pierre Bonnet, Maximilien Servajean, Rémi Palard, Alexis Joly
Pubblicato in: arXiv, 2025
Editore: Cornell University
DOI: 10.48550/ARXIV.2504.05231

Expert Finding for Citizen Science

Autori: Bjoern Komander, Jesus Cerquides, Jaume Piera, Jeffrey Chan, Azadeh Alavi
Pubblicato in: Artificial Intelligence Research and Development, Numero Volume 375: Artificial Intelligence Research and Development, 2023, ISBN 978-1-64368-448-2
Editore: IOS Press
DOI: 10.3233/FAIA230659

An approximate process for designing ethical environments with multi-agent reinforcement learning

Autori: An approximate process for designing ethical environments with multi-agent reinforcement learning Download PDF Arnau Mayoral Macau, Manel Rodriguez-Soto, Maite López-Sánchez, Juan Antonio Rodriguez Aguilar, Enrico Marchesini, Alessandro Farinelli
Pubblicato in: The Sixteenth Workshop on Adaptive and Learning Agents, 2024
Editore: OpenReview

Synergizing Digital, Biological, and Participatory Sciences for Global Plant Species Identification: Enabling access to a worldwide identification service

Autori: 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
Pubblicato in: Biodiversity Information Science and Standards, Numero 7.112545, 2023, ISSN 2535-0897
Editore: ARPHA
DOI: 10.3897/biss.7.112545

Spatio-temporal changes of forest boundaries with the use of landscape metrics, at the geographical edges of the Greek inland

Autori: Boutsios, S. & Drakou, E.
Pubblicato in: 11th Congress of the Hellenic Ecological Society, 2023
Editore: Hellenic Ecological Society

InsectSet459: an open dataset of insect sounds for bioacoustic machine learning

Autori: Marius Faiß, Burooj Ghani, Dan Stowell
Pubblicato in: arXiv, 2025
Editore: Cornell University
DOI: 10.48550/ARXIV.2503.15074

Overview of PlantCLEF 2025: Multi-Species Plant Identification in Vegetation Quadrat Images

Autori: Giulio Martellucci, Herve Goeau, Pierre Bonnet, Fabrice Vinatier, Alexis Joly
Pubblicato in: arXiv, 2025
Editore: Cornell University
DOI: 10.48550/ARXIV.2509.17602

Overview of GeoLifeCLEF 2023: Species Composition Prediction with High Spatial Resolution at Continental Scale Using Remote Sensing

Autori: Christophe Botella, Benjamin Deneu, Diego Marcos Gonzalez, Maximilien Servajean, Théo Larcher, César Leblanc, Joachim Estopinan, Pierre Bonnet, Alexis Joly
Pubblicato in: Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), Numero Vol-3497, 2023, ISSN 1613-0073
Editore: CEUR-WS Workshop Proceedings

Quantifying spatio-temporal patterns of forest fragmentation in Hymettus Mountain, Greece

Autori: Lorilla, R.S. & Drakou, E.
Pubblicato in: 11th Congress of the Hellenic Ecological Society, 2023
Editore: Hellenic Ecological Society

Developing and Validating Tools for the Automated Analysis and Enhancement of Online Discussions

Autori: Bjoern Komander, Jesus Cerquides, Jaume Piera
Pubblicato in: Frontiers in Artificial Intelligence and Applications, Numero Volume 368, 2023, ISBN 978-1-64368-394-2
Editore: IOS Press
DOI: 10.3233/FAIA230120

LifeCLEF 2024 teaser: Species Identification and Prediction Challenges

Autori: Joly & al
Pubblicato in: Advances in Information Retrieval, 2024, ISBN 978-3-031-56072-9
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-56072-9_3

Mapping joint species distribution model predictions on the known species interactions space to increase causal understanding.

Autori: Christophe Van Neste, Quentin Groom
Pubblicato in: European Conference on Ecological Modelling - ECOLOGICAL MODELLING FOR TRANSFORMATION, Numero ECEM23, 2023
Editore: International Society for Ecological Modelling

Decision-making in citizen science technologies: a spectrum of possibilities

Autori: Karen Soacha Godoy and Jaume Piera
Pubblicato in: Conference XIX Biennial IASC Conference 'The Commons We Want: Between Historical Legacies and Future Collective Actions', 2023
Editore: IASC

A framework for assessing changes in ecosystem services within the priorities of the new EU Green Deal.

Autori: Lorilla, R.S. & Drakou, E.
Pubblicato in: Proceedings of the 11th Congress of the Hellenic Ecological Society, 2023
Editore: Hellenic Ecological Society

Overview of PlantCLEF 2023: Image-based Plant Identification at Global Scale

Autori: Hervé Goëau, Pierre Bonnet, and Alexis Joly
Pubblicato in: Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), Numero Vol-3497, 2023, ISSN 1613-0073
Editore: CEUR-WS Workshop Proceedings

An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning

Autori: Rodríguez Soto, M., Rodriguez-Aguilar, J. A., & Lopez-Sanchez, M.
Pubblicato in: 2024
Editore: NeurIPS

Decoding Cheese Ripening: A Deep Learning Approach to Non-Invasive Monitoring

Autori: Daniel Pardo, Mehmet Oguz Mulayim, Manuel Castillo
Pubblicato in: Artificial Intelligence Research and Development, 2025
Editore: IOS Press
DOI: 10.3233/FAIA250613

Overview of LifeCLEF 2023: evaluation of AI models for the identification and prediction of birds, plants, snakes and fungi

Autori: Alexis Joly, Christophe Botella, Lukáš Picek, Stefan Kahl, Hervé Goëau, Benjamin Deneu, Diego Marcos, Joaquim Estopinan, César Leblanc, Théo Larcher
Pubblicato in: Experimental IR Meets Multilinguality, Multimodality, and Interaction, Numero 14163, 2023, ISBN 978-3-031-42447-2
Editore: Springer, Cham
DOI: 10.1007/978-3-031-42448-9_27

Other (2)

Modelling Species Distributions with Deep Learning to Predict Plant Extinction Risk and Assess Climate Change Impacts

Autori: Estopinan, Joaquim; Bonnet, Pierre; Servajean, Maximilien; Munoz, François; Joly, Alexis
Pubblicato in: 2024
Editore: arXiv
DOI: 10.48550/ARXIV.2401.05470

The GeoLifeCLEF 2023 Dataset to evaluate plant species distribution models at high spatial resolution across Europe

Autori: Botella, Christophe; Deneu, Benjamin; Marcos, Diego; Servajean, Maximilien; Estopinan, Joaquim; Larcher, Théo; Leblanc, César; Bonnet, Pierre; Joly, Alexis
Pubblicato in: https://hal.science/hal-04152362, 2023, ISSN 0415-2362
Editore: hal
DOI: 10.48550/arxiv.2308.05121

Peer reviewed articles (6)

Mapping global orchid assemblages with deep learning provides novel conservation insights

Autori: Joaquim Estopinan, Maximilien Servajean, Pierre Bonnet, Alexis Joly, François Munoz
Pubblicato in: Ecological Informatics, Numero 81, 2024, ISSN 1574-9541
Editore: Elsevier BV
DOI: 10.1016/j.ecoinf.2024.102627

Efficient Speech Detection in Environmental Audio Using Acoustic Recognition and Knowledge Distillation

Autori: Drew Priebe, Burooj Ghani and Dan Stowell
Pubblicato in: Sensors, Numero 7, 2024, ISSN 1424-8220
Editore: MDPI
DOI: 10.3390/s24072046

Adapting a global plant identification model to detect invasive alien plant species in high-resolution road side images

Autori: Vincent Espitalier, Jean-Christophe Lombardo, Hervé Goëau, Christophe Botella, Toke Thomas Høye, Mads Dyrmann, Pierre Bonnet, Alexis Joly
Pubblicato in: Ecological Informatics, Numero 89, 2025, ISSN 1574-9541
Editore: Elsevier BV
DOI: 10.1016/J.ECOINF.2025.103129

Spatial identification of areas suitable for other effective area‐based conservation measures in the European Union

Autori: George Kefalas, Roxanne Suzette Lorilla, Stefanos Boutsios, Dimitrios Bormpoudakis, Pierre Bonnet, Alexandra Demertzi, Camino Liquete, Ioannis Ν. Vogiatzakis, Joseph Tzanopoulos, Jasmin Upton, Emily Howland, Heather Bingham, Konstantina Apostolopoulou, Neil Burgess, Evangelia G. Drakou
Pubblicato in: Conservation Biology, 2026, ISSN 0888-8892
Editore: Wiley
DOI: 10.1111/COBI.70263

Revealing biases in insect observations: A comparative analysis between academic and citizen science data

Autori: Joan Díaz-Calafat, Sebastià Jaume-Ramis, Karen Soacha, Ana Álvarez, Jaume Piera
Pubblicato in: PLOS ONE, Numero 19, 2024, ISSN 1932-6203
Editore: Public Library of Science (PLoS)
DOI: 10.1371/JOURNAL.PONE.0305757

Co-developing ecosystem services indicators for sustainable local decision-making

Autori: R.S. Lorilla, G. Kefalas, J. Ducrettet, A. Stritih, S. Boutsios, L. Sirvent, R. Palard, A. Joly, P. Bonnet, E.G. Drakou
Pubblicato in: Environmental and Sustainability Indicators, Numero 30, 2026, ISSN 2665-9727
Editore: Elsevier BV
DOI: 10.1016/J.INDIC.2026.101233

Book chapters (1)

Overview of LifeCLEF 2025: Challenges on Species Presence Prediction and Identification, and Individual Animal Identification

Autori: Lukáš Picek, Stefan Kahl, Hervé Goëau, Lukáš Adam, Théo Larcher, Cesar Leblanc, Maximilien Servajean, Klára Janoušková, Jiří Matas, Vojtěch Čermák, Kostas Papafitsoros, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Juan Sebastián Cañas, Giulio Martellucci, Fabrice Vinatier, Pierre Bonnet, Alexis Joly
Pubblicato in: Lecture Notes in Computer Science, Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-04354-2_19

Thesis and dissertations (1)

A predictive approach to determining the joint conservation status of species

Autori: Joaquim Estopina
Pubblicato in: UM PhD Thesis, 2023
Editore: University of Montpellier