Objective
A range of advanced modelling approaches has been used so far to assess the impact of global change on biodiversity and ecosystems. These assessments include advanced socio-economic scenarios and yield projections of the distribution of species, communities and biomes and the functioning of ecosystems. Future goods and services are then assessed from these projections.
However, four main limitations remain associated with these approaches:
1. Knowledge and data of past species' distribution is still limited, yet necessary for testing them in the past before projecting them to the future
2. We miss sound estimates of species' long distance migration rates in order to assess whether species will be able to keep pace with rapid global change
3. Some key assumptions of models, such as niche stability over time and/or space, are not well tested
4. We need more reliable estimate of uncertainties in model predictions.
Our project specifically proposes to go one step further by:
1. Integrating different modelling app roaches currently in use (niche-based, dynamic, dispersal, etc.), and by developing robust methodologies to estimate uncertainties associated with these projections
2. Generating required new data (palaeo & migration) by using innovative DNA-based appr oaches, and global change scenarios
3. Testing niche conservatism and temporal evolution of biological communities
4. Using the new data in improved and integrated models to make projections more robust and realistic
5. Testing these approaches in case study areas and expanding the current projections to all of Europe.
Our consortium encompasses a wide spectrum of skills required to meet these objectives. Our final goal is to provide data, scenarios and associated confidence limits so that policy markers and land managers can use them for anticipating societal problems and for designing sustainable conservation strategies by accounting the most likely global change effects on biodiversity and ecosystems.
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.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Call for proposal
FP6-2005-GLOBAL-4
See other projects for this call
Funding Scheme
IP - Integrated ProjectCoordinator
PARIS
France
See on map
Participants (23)
BIRMENSDORF
See on map
WIEN
See on map
KOBENHAVN
See on map
OSLO
See on map
SOUTHAMPTON
See on map
BASEL
See on map
KRAKOW
See on map
CLUJ-NAPOCA
See on map
TOULOUSE
See on map
WIEN
See on map
TROMSOE
See on map
TARTU
See on map
MADRID
See on map
POZNAN
See on map
WAGENINGEN
See on map
LIEGE
See on map
SINT PETERSBURG
See on map
NORWICH
See on map
9101 WAGENINGEN
See on map
EDINBURGH
See on map
Box 117 LUND
See on map
ZURICH
See on map
LAUSANNE
See on map