Objective
The goal of B4EST is to increase forest survival, health, resilience and productivity under climate change and natural disturbances, while maintaining genetic diversity and key ecological functions, and fostering a competitive EU bio-based economy.
B4EST will provide forest tree breeders, forest managers and owners, and policy makers with: 1) better scientific knowledge on adaptation profiles and sustainable productivity, and added value of raw materials in important European tree species for forestry, 2) new and flexible adaptive tree breeding strategies, 3) tree genotypes of highly adaptive and economical value, 4) decision-support tools for the choice and use of Forest Reproductive Material (FRM) while balancing production, resilience and genetic diversity, including case studies developed with industrial partners, 5) integrative performance models to guide FRM deployment at stand and landscape level, 6) economic analyses of risks/benefits/costs, and 6) policy recommendations.
B4EST will capitalise on the resources developed by past and current EU projects to produce -together with tree breeders, forest managers and owners, and the industry- operational solutions to better adapt forests to climate change and reinforce the competitiveness of the EU forest-based sector.
To cover the geographical, economic and societal needs of forestry in the EU, B4EST will work with 8 (six native, two non-native) conifers and broadleaves with advanced breeding programmes (Norway spruce, Scots pine, maritime pine, poplars, Douglas-fir, eucalypts) or that are case studies of pest-threatened forests (ash) or valuable non-wood products (stone pine).
Our approach will result in a high degree of data and knowledge integration, involving multiple and new target traits and their trade-offs; genomic information; temporal and spatial assessments in a wide range of environments; stakeholder demands; and forest owner and manager risk perception and acceptability of new breeding strategies.
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.
- agricultural sciencesagriculture, forestry, and fisheriesforestrysilviculture
- social scienceseconomics and businesseconomicsproduction economicsproductivity
- social scienceseconomics and businesseconomicsbioeconomy
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
Keywords
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
75007 Paris
France
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Participants (21)
GU10 4LH Farnham
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28006 Madrid
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75183 Uppsala
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00790 Helsinki
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80100 Joensuu
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751 05 Uppsala
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90014 Oulu
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750 07 Uppsala
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00185 Roma
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Participation ended
SN2 1FL Swindon
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6708 PB Wageningen
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75016 Paris
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00184 Roma
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1430 Aas
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31062 Toulouse Cedex 9
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
75794 Paris
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33200 Tampere
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3094 484 MARINHA DAS ONDAS
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75013 PARIS
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33610 Cestas
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OX10 8BB Oxford
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