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Understanding Social-Ecological Systems: Coupling population and satellite remotely sensed environmental data to improve the evidence base for sustainable development

Objective

In developing countries the majority of rural communities rely on natural resources and environmental products for food, fuel, building materials and medicines. Rapidly changing socioeconomic conditions can have important consequences for environmental resources and ecosystem services. Consequently, the pressure that natural resources experience from population growth is a significant barrier to sustainable human development. This research project will broaden the approach to sustainable development research by studying population-environment relationships using data with unrivalled spatial and temporal resolutions. The objectives of the research are to identify: (1) How satellite data can be used to estimate aspects of environmental resources and ecosystem services important for livelihoods; (2) the relationships between household poverty and remotely sensed environmental conditions? And are these relationships consistent at different time periods? and; (3) how changes in poverty relate to changes in environmental conditions and vice versa? To study these relationships household panel survey data and remotely sensed environmental data will be coupled using GIS and non-parametric Classification and Regression Trees (CART) and random forests models which can handle and represent meaningfully the complex, nonlinear relationships between poverty and environment. The project will contribute to the Horizon 2020 aim of furthering sustainability science by exploring how changes in society and the environment are linked and contribute to society beginning to think about interventions to managing environmental resources which could contribute to development and to understand the changes likely in environmental resources when development occurs. It will contribute to the Work Programme as the fellow will gain new skills and training in geospatial and computational ecology and become an EU leading specialist in a research field with a lot of growth potential.

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.

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Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

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.

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-2014

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Coordinator

AARHUS UNIVERSITET
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.

€ 212 194,80
Address
NORDRE RINGGADE 1
8000 Aarhus C
Denmark

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Region
Danmark Midtjylland Østjylland
Activity type
Higher or Secondary Education Establishments
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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.

€ 212 194,80
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