Resolving complex eco-evolutionary dynamics of aquatic ecosystems faced with human-induced and environmental alterations (COMPLEX-FISH)
Main funder
Funder's project number: 770884
Funds granted by main funder (€)
- 1 999 391,00
Funding program
Project timetable
Project start date: 01/06/2018
Project end date: 31/08/2024
Summary
Species ability to resist changes and to recover from disturbance are key determinants of species persistence and viability in a changing world. Populations exposed to rapid environmental changes and human-induced alterations are often affected by both ecological and evolutionary processes and their interactions, that is, eco-evolutionary dynamics. This integrated perspective is vital for understanding drivers of resilience and recovery of natural populations, but knowledge about the dynamic feedback mechanisms and the ways in which evolution and phenotypic changes scale up to interacting species and ecosystems remains poorly understood. The overarching concept of my proposal is to bridge and close this gap by merging the fields of ecology and evolution into a single concept of complex biological dynamics. I will do this in the context of conservation and sustainable harvest of aquatic ecosystems. I will develop a novel mechanistic theory of eco-evolutionary ecosystem dynamics, by coupling the theory of allometric trophic networks with the theory of life-history evolution. I will analyse eco-evolutionary dynamics of aquatic ecosystems, to identify mechanisms responsible for species and ecosystem resilience and recovery ability. This will be done through systematic simulation studies as well as detailed analyses of three empirical ecosystems. The project delves into the pathways and mechanisms through which anthropogenic and environmental drivers alter the biological dynamics of aquatic ecosystems. Mechanistic understanding of such dynamics has great potential to resolve fundamental yet puzzling patterns observed in natural populations, such as the key drivers of resilience and recovery. Identifying traits and species and ecosystem properties regulating resilience and recovery ability will drastically change our ability to assess the risks related to current and future anthropogenic and environmental influences to which aquatic ecosystems are likely to be exposed.
Principal Investigator
Primary responsible unit
Follow-up groups
Related publications and other outputs
- Effects of top predator re-establishment and fishing on a simulated food web : Allometric Trophic Network model for Lake Oulujärvi (2024) Kokkonen, Eevi; et al.; A1; OA
- Environmental forcing alters fisheries selection (2024) Thambithurai, Davide; et al.; A2; OA
- Fish with slow life‐history cope better with chronic manganese exposure than fish with fast life‐history (2024) Uusi‐Heikkilä, Silva; et al.; A1; OA
- Food-web complexity, consumer behavior, and diet specialism: impacts on ecosystem stability (2024) Perälä, Tommi; et al.; A1; OA
- Growth and longevity of the endangered freshwater pearl mussel (Margaritifera margaritifera) : Implications for conservation and management (2024) Nykänen, Sabrina; et al.; A1; OA
- Integrating pigment and fatty acid profiles for enhanced estimation of seston community composition (2024) Litmanen, Jaakko J.; et al.; A1; OA
- Mutually exclusive feeding yields Holling type III functional response (2024) Lehtinen, Sami O.; et al.; A1; OA
- Parameter estimation for allometric trophic network models : A variational Bayesian inverse problem approach (2024) Tirronen, Maria; et al.; A1; OA
- Parasite‐mediated changes in host traits alter food web dynamics (2024) Klemme, Ines; et al.; A1; OA
- Planetary well-being (2024) Kortetmäki, Teea; et al.; A3; OA; 978-1-003-33400-2