Objective
The boreal forest is one of the most important global carbon sinks but its carbon fluxes and total amount of sequestered carbon depend on the regional climate variability. Because of this sensitivity to climate, boreal trees are also important natural archives of current and past climate change. During this project, we will use a data-model approach to improve our understanding of the links between forests and climate in a Canadian boreal region over the last millennium. More specifically, we will adapt the process-based ecophysiological model MAIDENiso to investigate factors influencing the growth and underlying biogeochemical processes of black spruce (Picea mariana (Mill.) B.S.P.) the most representative species of the North American boreal biome. This will give an insight into carbon storage in the taiga and will provide the first multiproxy (ring widths and δ18O and δ13C in tree-ring cellulose) regional climate reconstruction in Eastern North America over the last millennium. MAIDENiso will be calibrated on a recently developed network of tree-ring data from the taiga of Quebec. This project will have important implications. First, we will get information on the capacity of black spruce forests to adapt to climate change and to act as carbon sink using an innovative approach that can be transferred to study European boreal ecosystems as well. Second, we will reduce the uncertainties on the estimates of the climate variability of the last millennium in a region that has historically been under-represented in the Northern Hemisphere network of climate reconstructions (see IPCC AR5). Finally, we will be able to analyze the impact of each climate forcing (volcanism, solar activity, CO2 concentration) on the regional climate and carbon sink variability. An important aspect of this project is its multidisciplinarity. Climatology, geochemistry, dendrochronology, tree physiology and numerical modelling will be used linking together European and Canadian scientists.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences earth and related environmental sciences atmospheric sciences climatology dendrochronology
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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-2014
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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.
13284 Marseille
France
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.