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EVOTROPIA ECOLOGICAL FINANCE ARCHITECTURES IKE

Country: Greece

EVOTROPIA ECOLOGICAL FINANCE ARCHITECTURES IKE

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2 Projects, page 1 of 1
  • Funder: French National Research Agency (ANR) Project Code: ANR-22-PRIM-0001
    Funder Contribution: 292,670 EUR

    The project SIRAM (Sustainable Innovations for Regenerative Agriculture in the Mediterranean area) aims at developing, scaling-up and disseminate innovative regenerative agriculture approaches to tackle issues related to climate change, desertification, loss of biodiversity excessive use of chemical and low incomes in small-holders farms in the Mediterranean. The tested approaches will be in line with the main principles of regenerative agriculture, namely the adoption of no-tillage practices, the use of cover-crops, the screening of local varieties with resistant traits, the synergic application of biostimulant and bioprotecting microbial strains co-formulated with organic fertilizers from recycled wastes. The project goals will be achieved through a lab-to-farm approach that starts from the molecular and chemical screening of existing crop varieties, microbial strains and organic waste biomasses, in order to select and tailor the best ones which will be tested in 8 case studies representing different Mediterranean scenarios under different pedoclimatic conditions but facing common issues. SIRAM will adopt a systemic approach focused on the tripartite soil-plant-microbiome system. At soil level, mechanisms of soil organic matter stabilisation and greenhouse gases reduction through no-till, cover crops and amendments will be tested; at microbial level, advancements in the understating of basic mechanisms through which certain microorganisms induce plant systematic resistances to insects and fungal attacks will be provided; at plant level the focus will be on the selection of resistant local varieties and on the understanding and exploitation of mechanisms by which plants can select beneficial microorganisms in the rhizosphere, especially after biotic and abiotic stresses (e.g. severe pathogens outbreaks and climate change related droughts).

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  • Funder: European Commission Project Code: 101112768
    Overall Budget: 6,992,050 EURFunder Contribution: 6,992,050 EUR

    EDAPHOS proposes a holistic and innovative land management approach to contribute to the Mission “A Soil Deal for EU” and to its specific objective “Reduce soil pollution and enhance restoration”. EDAPHOS will develop a framework for land rehabilitation and ecological restoration of contaminated areas featuring nature-based solutions (NBS) technologies, to accelerate the recovery of contaminated lands to a healthy ecosystem status and making ecological restoration a mainstream business endeavor. EDAPHOS will improve the monitoring of contaminated soils and the understanding of precise pollution sources at selected EU regions by combining robust remote sensing tools and GIS-based methods that will be applied at representative territorial lands. Site-specific risk assessment methods and metrics, based on the TRIAD concept and considering the sources, the pathways, the exposure and effects of soil pollution, will be developed and applied on 7 case studies. EDAPHOS will perform lab and field studies to validate the technological readiness and the cost-effectiveness of NBS as effective remediation strategy for reducing soil contamination in urban, peri-urban and rural settings and land uses. EDAPHOS will assess the environmental, social and economic impacts of selected NBS sites and will develop the most suitable quantitative metrics and KPIs that depict accurately and reliably their integrated socio-environmental performance in both terms of economic benefit (e.g. growth of ecosystem services value, final phytoremediation compounds for further industrial valorization) and cost prevention (e.g. environmental footprint reduction) potentials, along with tailored ecological finance instruments for establishing a self-sustained and replicable EU NBS market. With the aim of providing data-driven tools for forecasting, analyzing and establishing quantitative relationship of multi-scale processes, artificial intelligence techniques will be implemented throughout the project.

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