Eco-evolutionary dynamics and the maintenance of organismal diversity
This project aims to experimentally test the interplay between species diversity and genetic variation in tropical rainforest Drosophila networks to enhance understanding of biodiversity maintenance and conservation.
Projectdetails
Introduction
There is growing evidence of rapid evolution leading to entangled eco-evolutionary dynamics. However, we are only beginning to address what this implies for the maintenance of biodiversity in nature.
Community Ecology and Population Biology
Community ecology studies how species diversity is maintained in communities despite negative interactions. Separately, population biology studies how phenotypic and genetic variation is maintained in populations despite selection and drift.
These two questions are interlinked, but usually addressed independently, not considering the other level. Intriguingly, genetic variation could help maintain species diversity, and reciprocally, diversity could help maintain variation, forming a positive feedback loop. However, this hypothesis has not been empirically tested in complex ecological networks, because maintaining such networks in the laboratory is a major challenge.
Proposed Experiment
I propose to experimentally test this hypothesis using a uniquely tractable network of tropical rainforest Drosophila and their parasitoids (6 fly and 5 wasp species), that I developed to allow multigenerational microcosm experiments.
- We will manipulate species diversity and genetic variation of all species in a factorial design to test the hypothesis.
- We will then explore the mechanisms of interactions between diversity and variation, focusing on rapid evolution.
- To link the findings to natural eco-evolutionary dynamics, we will investigate mechanisms maintaining diversity and variation in the wild.
Based on the empirical work, we will advance eco-evolutionary concepts of organismal diversity and stability.
Significance of the Project
This project will provide a causal test of the interaction between the maintenance of diversity and variation, thus linking two key questions in ecology and evolutionary biology. Uncovering the specific coexistence mechanisms will allow us to predict the importance of diversity – variation feedbacks in other systems with important implications for the conservation of biodiversity.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.995.250 |
Totale projectbegroting | € 1.995.250 |
Tijdlijn
Startdatum | 1-1-2024 |
Einddatum | 31-12-2028 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- BIOLOGICKE CENTRUM AKADEMIE VID CESKE REPUBLIKY VEREJNA VYZKUMNA INSTITUCEpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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Evolutionary feedback between traits and species diversification: convergence and divergence in sympatric butterflies of the Amazonian rainforest
This project investigates the evolutionary dynamics of sympatric Morpho butterflies to understand how trait diversification influences niche specialization and speciation in the Amazon.
Feedback between population dynamics and evolution of interactions in a tri-trophic system
DYNAMICTRIO aims to analyze eco-evolutionary dynamics in a tri-trophic system to develop tools for predicting ecosystem responses to environmental changes.
The role of structural genomic variants in eco-evolutionary processes
EVOL-SV aims to explore the role of structural variants in genetic diversity and their impact on ecology and evolution, using Coelopa flies as a model to enhance understanding across taxa.
Coevolutionary Consequences of Biodiversity Change
This project investigates how climate change alters plant-microbe interactions and coevolutionary dynamics, revealing impacts on biodiversity and ecosystem functioning over 35 years.
Prediction of genetic values and adaptive potential in the wild
This project aims to enhance understanding of eco-evolutionary processes in wild populations using advanced genomic data and statistical methods to address biodiversity loss and species adaptability.