IceCommunities SIGNED
Reconstructing community dynamics and ecosystem functioning after glacial retreat
Total Cost €
0EC-Contrib. €
0Partnership
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Explore the words cloud of the IceCommunities project. It provides you a very rough idea of what is the project "IceCommunities" about.
Project "IceCommunities" data sheet
The following table provides information about the project.
| Coordinator |
UNIVERSITA DEGLI STUDI DI MILANO
Organization address contact info |
| Coordinator Country | Italy [IT] |
| Total cost | 1˙845˙773 € |
| EC max contribution | 1˙845˙773 € (100%) |
| Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
| Code Call | ERC-2017-COG |
| Funding Scheme | ERC-COG |
| Starting year | 2018 |
| Duration (year-month-day) | from 2018-04-01 to 2023-03-31 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | UNIVERSITA DEGLI STUDI DI MILANO | IT (MILANO) | coordinator | 1˙720˙738.00 |
| 2 | CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS | FR (PARIS) | participant | 125˙035.00 |
Map
Project objective
Glaciers show a pattern of retreat at the global scale. Increasing areas are exposed and colonized by multiple organisms, but lack of global studies hampers a complete understanding of the future of recently deglaciated terrains. What will be the fate of these areas? How do animals, plants and microorganisms colonize them? How do they interact to perform successful colonization? Which are the climatic, geological and biogeographical processes determining colonization patterns? How does ecosystem functioning evolves through time? Until now, the complete reconstruction of soil communities was hampered by the complexity of identification of organisms, thus analyses at broad geographical and taxonomic scale have been so far impossible. IceCommunities will combine innovative methods and a global approach to boost our understanding of the evolution of ecosystems in recently deglaciated areas. I will investigate chronosequences ranging from recently deglaciated terrains to late successional stages of soil pedogenesis. Through environmental DNA metabarcoding I will identify species from multiple taxonomic groups (bacteria, fungi, protists, soil invertebrates, plants), to obtain a complete reconstruction of biotic communities along glacier forelands over multiple mountain areas across the globe. This will allow measuring the rate of colonization at an unprecedented detail. Information on assemblages will be combined with analyses of soil, landscape and climate to identify the drivers of community changes. I will also identify the impact of eco-geographical factors (climate, regional pool of potential colonizers) on colonization. Analysis of functional traits will allow reconstructing how functional diversity emerges during community formation, and how it scales to the functioning of food webs. IceCommunities will help to predict the future development of these increasingly important ecosystems, providing a supported rationale for the appropriate management of these areas
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2019 |
Lucie Zinger, Aurélie Bonin, Inger G. Alsos, Miklós Bálint, Holly Bik, Frédéric Boyer, Anthony A. Chariton, Simon Creer, Eric Coissac, Bruce E. Deagle, Marta De Barba, Ian A. Dickie, Alex J. Dumbrell, Gentile Francesco Ficetola, Noah Fierer, Luca Fumagalli, M. Thomas P. Gilbert, Simon Jarman, Ari Jumpponen, Håvard Kauserud, Ludovic Orlando, Johan Pansu, Jan Pawlowski, Leho Tedersoo, Philip F DNA metabarcoding—Need for robust experimental designs to draw sound ecological conclusions published pages: 1857-1862, ISSN: 0962-1083, DOI: 10.1111/mec.15060 |
Molecular Ecology 28/8 | 2019-12-16 |
| 2019 |
Mattia Falaschi, Raoul Manenti, Wilfried Thuiller, Gentile Francesco Ficetola Continentalâ€scale determinants of population trends in European amphibians and reptiles published pages: 3504-3515, ISSN: 1354-1013, DOI: 10.1111/gcb.14739 |
Global Change Biology 25/10 | 2019-12-16 |
| 2019 |
Wentao Chen, Gentile Francesco Ficetola Conditionally autoregressive models improve occupancy analyses of autocorrelated data: An example with environmental DNA published pages: 163-175, ISSN: 1755-098X, DOI: 10.1111/1755-0998.12949 |
Molecular Ecology Resources 19/1 | 2019-11-26 |
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