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Understanding forest growth dynamics using novel 3D measurements and modelling approaches

Project description

Technology reveals new insights on forest ecosystems

A better understanding of forest growth dynamics can only enhance our knowledge of the carbon cycle and the mechanisms responsible for terrestrial carbon sources and sinks, reducing uncertainties about their magnitude and distribution. The EU-funded 3D-FOGROD project will employ LiDAR techniques to shed light on forest growth dynamics, in addition to helping evaluate the role of elevated CO2 levels in forest growth. The insights revealed will benefit the EU not only by generating new knowledge and publications in high-profile scientific journals but also by contributing to the EU's commitments to the Paris climate conference (the agreement that aims to limit the increase in global temperature to 1.5 °C).

Objective

Forest ecosystems are an essential terrestrial carbon sink, and deforestation and forest degradation account for about 12% of global anthropogenic carbon emissions. However, estimates of the global distribution of terrestrial carbon sinks and sources are highly uncertain. Constraining the inaccuracy of carbon estimates is essential to support effective forest management and future climate mitigation. A better understanding of forest growth dynamics will improve our understanding of the carbon cycle and mechanisms responsible for terrestrial carbon sources and sinks, reducing uncertainties on their magnitude and distribution. In the 3D-FOGROD project, I aim to improve our understanding of forest growth dynamics and evaluate the role of elevated CO2 levels on forest growth. I will achieve this by using novel 3D laser scanning (LiDAR) techniques, unique datasets and state-of-the-art modelling approaches to (1) accurately quantify forest growth using terrestrial LiDAR data in a free-air CO2 enrichment experiment; (2) improve historical and future simulated forest growth dynamics using LiDAR derived forest structure for a range of forest ecosystems; and (3) develop and disseminate recommendations for climate mitigation actions to policy makers based on new insights in forest growth dynamics and carbon cycling. The proposed scientific innovation and applicability will benefit the EU not only by generating new knowledge and publications in high-profile scientific journals, which will contribute to the enhancement of EU scientific excellence, but also by contributing to EU commitments to the Paris climate conference (COP 21) agreement that aims to limit the increase in global temperature to 1.5°C. The science excellence and training through 3D-FOGROD will enable me to apply for senior research positions or an ERC starting grant in the future, which would allow me to establish my own research group focused on 3D terrestrial ecology.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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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.

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.

(opens in new window) H2020-MSCA-IF-2018

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Coordinator

UNIVERSITEIT GENT
Net EU contribution

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.

€ 178 320,00
Address
SINT PIETERSNIEUWSTRAAT 25
9000 GENT
Belgium

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Region
Vlaams Gewest Prov. Oost-Vlaanderen Arr. Gent
Activity type
Higher or Secondary Education Establishments
Links
Total cost

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.

€ 178 320,00
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