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EE-Dynamics

Financiado

Dynamics of eco evolutionary systems

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... ver más

31/12/2024

CNRS

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 2 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2018-04-25

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

ERC-2017-COG: ERC Consolidator Grant

I+D

Cerrada hace 7 años

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2 Participantes

CNRS

1.99M€ | Lider

CONSERVAS JARCHA

713.66K€ | Participante

Últimas noticias

29-11-2024: IDAE En las últimas 48 horas el Organismo IDAE ha otorgado 4 concesiones

29-11-2024: ECE En las últimas 48 horas el Organismo ECE ha otorgado 2 concesiones

29-11-2024: CMVAMADRID En las últimas 48 horas el Organismo CMVAMADRID ha otorgado 37 concesiones

Duración del proyecto: 80 meses Fecha Inicio: 2018-04-25
Fecha Fin: 2024-12-31

Presupuesto del proyecto 2M€

Descripción del proyecto 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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