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EE-Dynamics SIGNED

Dynamics of eco-evolutionary systems

Total Cost €

EC-Contrib. €

Partnership

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EE-Dynamics project word cloud

Explore the words cloud of the EE-Dynamics project. It provides you a very rough idea of what is the project "EE-Dynamics" about.

stabilising organisation predictions buffered stability connectivity experimental disturbance timema uses sudden species recover genomic biological until ecosystems dynamics meta arthropod variation local light prone environmental ecological theories outlines causes loops populations evolutionary settings communities drivers causal levels loci insects hypotheses receive positive negative governed ecosystem concerning plants rapid host thought associations tests mutations genetic untested capacity stick basis maintenance interact first evolution interactions model theoretical nature periods eco largely transform functioning resilience resilient population ecology limited feedback fundamentally natural ranging

Project "EE-Dynamics" data sheet

The following table provides information about the project.

Coordinator	CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS Organization address address: RUE MICHEL ANGE 3 city: PARIS postcode: 75794 website: www.cnrs.fr 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	France [FR]
Total cost	1˙990˙733 €
EC max contribution	1˙990˙733 € (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 2018-10-01 to 2023-09-30

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS Organization address address: RUE MICHEL ANGE 3 city: PARIS postcode: 75794 website: www.cnrs.fr contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	FR (PARIS)	coordinator	1˙990˙733.00

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Project objective

Evolutionary and ecological processes can affect one another. For example, adaptation can affect population dynamics or species interactions in communities, and thus ecosystem functioning. Eco-evolutionary systems show periods of both stability and of sudden change, but the following general hypotheses for the causes of these complex dynamics are largely untested in natural settings. First, eco-evolutionary systems are thought to be governed by feedback loops, with positive feedback promoting rapid change and negative feedback stabilising dynamics. However, drivers with one-way effects likely also contribute, such as sudden environmental changes or mutations that do not interact with other genetic loci. Second, the capacity of meta-populations or communities to recover from disturbance (i.e., their resilience) can be affected by connectivity, with high connectivity making a system buffered and resilient to local change, but prone to system-wide change. Our understanding of how eco-evolutionary systems respond to environmental change will remain fundamentally limited until these hypotheses receive focused tests.

This proposal outlines field-based, experimental, genomic, and model-based tests of these hypotheses, and also tests theories for the maintenance of genetic variation and the genetic basis of adaptation. The work uses meta-populations of Timema stick insects on different host plants and their associated arthropod communities. It tests how adaptation within species affects ecological dynamics across levels of biological organisation ranging from populations to ecosystems. It is novel via examining causal associations between ecology and evolution in nature, in light of theoretical predictions concerning feedback and connectivity. The results could help transform our understanding of complex systems in ecology, evolution, and beyond.

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The information about "EE-DYNAMICS" are provided by the European Opendata Portal: CORDIS opendata.