Objective
LUC4C will advance our fundamental knowledge of the climate change - land use change interactions, and develop a framework for the synthesis of complex earth system science into guidelines that are of practical use for policy and societal stakeholders.
Policies in support of climate change mitigation through land management, and the societal demand for other services from terrestrial ecosystems are currently rather disconnected, in spite of the large potential for co-benefits, but also the need for trade-offs. To identify the beneficial and detrimental aspects of alternative land use options, we will improve and evaluate a suite of modelling approaches at different levels of integration and complexity in order to (i) discern key elements of land-use that have the largest effect on climate, including dependencies across time and space, (ii) develop innovative methods to better quantify the dynamic interactions between land use and the climate system at different time and space scales, and (iii) deliver a portfolio of best practice guidelines for the identification of trade-offs, benefits or adverse effects of land-based mitigation policy options across different scenarios. In particular, LUC4C aims to:
1. enhance our ability to understand the societal and environmental drivers of land use and land cover change (LULCC) relevant to climate change;
2. assess regional and global effects of different mitigation policies and adaptation measures within alternative socio-economic contexts;
3. quantify how the LULCC-climate change interplay affects regional vs. global, and biophysical vs. biogeochemical ecosystem-atmosphere exchange, and how the relative magnitude of these interactions varies through time;
4. advance our ability to represent LULCC in climate models;
5. assess LULCC-climate effects on multiple land ecosystem services and analyse these in relation to other societal needs that provide either a synergy or trade-off to climate mitigation and adaptation.
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.
Programme(s)
Call for proposal
FP7-ENV-2013-two-stage
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Funding Scheme
CP - Collaborative project (generic)Coordinator
76131 Karlsruhe
Germany
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Participants (14)
EX4 4QJ Exeter
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75794 Paris
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EX1 3PB Exeter
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EH8 9YL Edinburgh
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1081 HV Amsterdam
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14473 Potsdam
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2500 EX Den Haag
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1049 Bruxelles / Brussel
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73100 Lecce
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1407 SOFIA
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127550 MOSKVA
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80301 Boulder
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7701 Rondebosch
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100871 BEIJING
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