Objective
HOMED will provide a full set of science-based, innovative practical methods and tools to assess and control emerging or invasive pests and pathogens threatening EU forests, following a holistic and multi-actor approach. Holistic because it will improve strategies of risk assessment and management by targeting the successive phases of invasion (transport, introduction, establishment, spread), and developing mitigation methods for each phase, i.e. prevention, detection and diagnosis, surveillance, eradication and control tools. Multi-actor because scientists will communicate with stakeholders all along the project; forest managers, biosecurity agencies, policy makers and environmental NGOs will be asked to express their needs and constrains and validate the tools as they develop. Innovation will be central, as the new tools for pest management will benefit from the most advanced technology, e.g. electronic sensors, hyper spectral cameras, the latest satellite constellation, high-throughput sequencing, unmanned aerial vehicles and artificial intelligence. As it is impossible to foresee the next invasive or emerging pest or pathogen, the overall approach will be generic. However, the new tools will be tested on four main types of pests and pathogens, i.e. foliar moths and needle blights causing tree growth loss, wood boring beetles and dieback fungi causing tree mortality. Prominent experts from the main forested countries of EU and the main regions of origin of invasive pests, e.g. North America, Australasia, China and South Africa, will contribute to the project, and ensure continuity and complementarity with past and current Euphresco and EU projects. By developing cost-effective, environmentally friendly tools for the prevention, detection and control, the project will reduce the tremendous economic losses caused by invasive forest pests and pathogens and help to maintain the critical ecosystem services provided by EU forests, including climate change mitigation.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencesartificial intelligence
- natural sciencesbiological sciencesmicrobiologymycology
- agricultural sciencesagriculture, forestry, and fisheriesforestrysilviculture
- natural sciencesbiological sciencesecologyecosystems
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
75007 Paris
France
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Participants (22)
Legal entity established in a non-associated third country that is not eligible for funding under Article 10 of the Regulation (EU) No 1290/2013 laying down the rules for participation and dissemination in Horizon 2020.
97331 Corvallis
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33610 Cestas
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OX10 8DE Wallingford
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100101 Beijing
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2601 Acton Act
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00185 Roma
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CV1 5FB Coventry
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8903 Birmensdorf
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80100 Joensuu
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75013 PARIS
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1349 017 Lisboa
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613 00 Brno Sever
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3046 Rotorua
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1111 Sofia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
SW1P 2PE London
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750 07 Uppsala
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31023 Toulouse
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4072 Brisbane
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35122 Padova
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0002 Pretoria
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6708 PB Wageningen
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33610 Cestas
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