HORIZON EUROPE GUARDEN project: safeguarding biodiversity and critical ecosystem services across all sectors and scales
- Type Project
- Status Firmado
- Execution 2022 -2025
- Assigned Budget 4.556.888,75 €
- Scope Europeo
- Main source of financing Horizonte
- Project website Proyecto GUARDEN
Healthy communities depend on well-functioning ecosystems. Preserving global biodiversity is critical to successful climate change mitigation and adaptation, as well as to the continued well-being of wildlife, flora, and all life. However, this is not easy. The EU-funded GUARDEN project will introduce a user-oriented decision-support application.
It will create multi-stakeholder partnerships and collect data that will help organizations, key stakeholders, and policymakers make informed decisions. To increase the amount of geolocated biodiversity data and develop a new generation of predictive models for indicators of the state of biodiversity and ecosystems, GUARDEN will utilize deep learning, Earth observation, and hybrid modeling.
GUARDEN's primary mission is to safeguard biodiversity and its contributions to people by placing them at the forefront of policy and decision-making. This will be achieved through the development of user-oriented decision support applications (DSAs) and the leveraging of multi-stakeholder partnerships (MSPs).
They will consider policy and management objectives and priorities across sectors and scales, build consensus to address data gaps, analytical uncertainties, or conflicting objectives, and assess options for implementing adaptive transformative change. To do so, GUARDEN will leverage a suite of methods and tools that utilize deep learning, Earth observation, and hybrid modeling to increase the amount of standardized and geolocated biodiversity data, build a new generation of predictive biodiversity models and indicators of ecosystem status under multiple pressures (human and climate), and propose a set of complementary ecological indicators that will likely be incorporated into local management and policies.
The GUARDEN approach will be applied in sectoral case studies involving end-users and stakeholders through multi-stakeholder partnerships, and will address critical cross-sectoral challenges (at the nexus of biodiversity and energy/transport infrastructure deployment, agriculture, and coastal urban development).
Therefore, GUARDEN DSAs will help stakeholders involved in the challenge improve their holistic understanding of ecosystem functioning, biodiversity loss, and its drivers, and explore the potential ecological and social impacts of alternative decisions. Following the acquisition of this new knowledge and evidence, DSAs will help end-users not only navigate but also (re)configure the policy landscape to make informed and comprehensive decisions through cross-sector integration.
- Website of CENTER DE COOPERATION INTERNATIONALE EN RECHERCHE AGRONOMIQUE POUR L…
- ZABALA INNOVATION CONSULTING SA website
- Aalborg University website
- D2.1 - Obtaining and analyzing MSP and functional requirements
- D6.1 - Data dissemination, communication and governance plan - Initial
- D4.3 - Integrated GUARDEN System and DSAs - Initial
- D2.5 - GUARDEN system architecture design and technical specifications - Initial
- D3.3 - Improving the prediction of species assemblages through species interact…
- D4.1 - GUARDEN ICT Tools - Initial
- D5.1 - Planning and Configuration Manual and Operational Management Report - In…
- D2.2 - Case studies: requirements, dimensions and target KPIs - Initial
- Modeling species distributions with deep learning to predict plant extinction r…
- The GeoLifeCLEF 2023 dataset for assessing plant species distribution models at…
- Synergizing digital, biological, and participatory sciences for global plant sp…
- Development and validation of tools for automated analysis and improvement of o…
- LifeCLEF 2024 Teaser: Species Identification and Prediction Challenges
- Mapping global orchid assemblages with deep learning provides new insights into…
- Efficient speech detection in ambient audio using acoustic recognition and know…
- Involving the community in marine biodiversity research