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KeyDynamics

Addressing key challenges for forecasting climate change effects on biodiversity: an assessment of dispersal limitation, priority effects and intra-species trait variation in range dynamics

Total Cost €

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EC-Contrib. €

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Partnership

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Project "KeyDynamics" data sheet

The following table provides information about the project.

Coordinator
AARHUS UNIVERSITET 

Organization address
address: NORDRE RINGGADE 1
city: AARHUS C
postcode: 8000
website: www.au.dk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Denmark [DK]
 Project website http://bios.au.dk/en/about-bioscience/organisation/ecoinformatics-and-biodiversity/
 Total cost 212˙194 €
 EC max contribution 212˙194 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2017
 Duration (year-month-day) from 2017-04-01   to  2019-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    AARHUS UNIVERSITET DK (AARHUS C) coordinator 212˙194.00

Map

 Project objective

Active adaptation to current climate change related threats and the utilization of possible opportunities is hindered by three key limits in our understanding of the reaction of species and associated ecosystem services to climate dynamics. There is limited knowledge i) to which extend current species’ distributions are in equilibrium with their climatic niches, ii) how necessary range shifts are modulated by complex biotic interactions, which may depend on arrival order in a community i.e. “priority effects”, and iii) if ‘species’ is the adequate unit for impact assessments and predictive modelling given large within-species variability in adaptive capacity. This project will address all three key limits at once by applying novel methodology tracking species range shift dynamics through time since the Last Glacial Maximum. The project improves established migration models and utilizes newly available high-resolution vegetation community information to quantify biotic interactions comparing functional similarity between arriving species and the established community. Pollen and macrofossil records will be used for independent model evaluation and to identify responsible drivers for time lags between climate suitability and actual arrival of species at sites across Europe. Extending the approach accounting for differently adapted ecotypes within species will identify effects of intra-species variation on range dynamics. The proposed research has the potential to greatly enhance our understanding of climate-biosphere interactions, and results will have immediate practical applicability. Strong contributions to fundamental ecological theory are to be expected. The candidate’s experience in geospatial modelling and theoretical ecology, together with the host’s expertise in empirical and geospatial ecology and ecosystem services, will provide new insights into the mechanisms shaping range dynamics particularly in the context of anthropogenic climate change.

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The information about "KEYDYNAMICS" are provided by the European Opendata Portal: CORDIS opendata.

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