Eco-Evolutionary Rescue of Fragmented Populations
This project aims to develop a predictive framework for eco-evolutionary rescue analyses to assess species' adaptability to environmental changes using long-term data from house sparrow populations.
Projectdetails
Introduction
Here I will establish eco-evolutionary rescue analyses as a predictive science. I will do this by developing theories, principles, and tools for assessing whether populations can cope with changes in the environment at both short (ecological) and long (evolutionary) timescales.
Theoretical Framework
I contend that analyses involving the capacity of organisms to adapt to environmental changes must be based on theories including realistic ecological assumptions. My aim is therefore to develop a common theoretical framework for analyses of eco-evolutionary dynamics that includes basic features that characterize almost all natural populations, such as:
- Stochastic fluctuations in population size
- Density-dependent feedback mechanisms
- Dispersal among geographically separate populations
Novel Quantities
I will be able to achieve this ambitious goal because I have recently been involved in developing a new set of theories that have identified novel quantities based on general ecological characteristics that eco-evolutionary processes tend to maximize. These provide objective measures of a population's capacity to change, which can be used to assess the consequences of habitat loss and changes in environmental variation, such as those expected due to climate change.
Data Access
I will be able to parameterize these models via my access to one of the largest individual-based long-term field studies of any vertebrate species, including data of more than 36,000 individual house sparrows from 18 populations on islands within a large geographical area of northern Norway. This will enable me to quantify processes rarely analyzed before in natural populations.
Central Focus
A central focus will be to derive new metrics that describe how the degree of persistence of a population to environmental change depends upon its size and population dynamic characteristics. Thus, this project will provide operationalization of eco-evolutionary rescue analyses as a research field for assessment of the vulnerability of species to global changes.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.500.000 |
Totale projectbegroting | € 2.500.000 |
Tijdlijn
Startdatum | 1-7-2023 |
Einddatum | 30-6-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNUpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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Spatio-Seasonal Eco-Evolutionary Dynamics
EcoEvoMove aims to develop new eco-evolutionary theories and empirical methods to predict how wild populations can adapt to extreme seasonal climate changes and avoid extinction.
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.
Evolutionary dynamics of genomic erosion and its application in biodiversity conservation
ERODE aims to assess genomic erosion in endangered bird species using advanced genomic techniques to inform conservation strategies and enhance species recovery efforts.
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.
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.