SOURCE-LINKED INTELLIGENCE
safeGUARDing biodivErsity aNd critical ecosystem services across sectors and scales
le 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
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 4556888.75
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T00:21:03.701Z. This is not the publication date.