Objective
The changes in precipitation patterns that are projected for the coming decades are expected to increase the frequency and intensity of droughts. Despite the potentially dramatic impacts on wood and forest-based ecosystem services, the effect of these changes in the hydrological cycle on European forests is still highly uncertain. One reason for this gap in the knowledge is the inadequacy of the tools currently used to address large-scale land-atmosphere processes at continental scales, the land surface models (LSMs). Indeed, the predictive power of LSMs is hampered by their heavy parameterization of empirical hydrological modules, with parameters fixed per broad plant type irrespective of the environmental conditions. This representation is contradictory to the ecological processes of acclimation and selection and makes the LSMs unsuitable outside of their calibration range especially under extreme conditions. Ecologists have now made progress in describing traits – tree characteristics that define plant growth strategies. Plant traits vary as much within species as between species, as individuals and communities adapt to their environmental conditions.
M-TRAIT will bring the latest ecological findings together with a state-of-the-art LSM to model large-scale forest response to droughts. The trait determinants to the drought response of trees will be determined from analysis of worldwide trait databases. The relationships between traits and with the environment will be formulated. The key traits will then be integrated into a forestry-enhanced LSM with an individuals-sampling approach in which a large number of plant growth strategies are initialized and allowed to interact with environmental conditions. The outcome of M-TRAIT will be 100-year simulations of the drought effect on forests under different climate change scenarios, as well as an analysis of the consequences for forest-based ecosystem services based on proxy ecological variables.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences databases
- natural sciences biological sciences ecology ecosystems
- natural sciences earth and related environmental sciences atmospheric sciences climatology climatic changes
- agricultural sciences agriculture, forestry, and fisheries forestry
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2016
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
08193 Bellaterra
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.