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Evolutionary simulations clarify and reconcile biodiversity-disturbance models
Euan N Furness1,2, Russell J Garwood3,4, Philip D Mannion5
1Department of Earth Sciences and Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK.
Proceedings. Biological Sciences
|April 21, 2021
Summary
Environmental instability
Area of Science:
- Ecology
- Evolutionary Biology
- Biodiversity Science
Background:
- Species richness varies geographically, but the relationship with environmental stability is not fully understood.
- Conflicting hypotheses exist: stability-time suggests instability decreases richness, while patch-mosaic suggests it increases richness at small scales.
- Reconciling these hypotheses is crucial for understanding biodiversity distribution patterns.
Purpose of the Study:
- To model the impact of environmental instability on the evolution of sessile organisms.
- To reconcile the stability-time and patch-mosaic hypotheses within a unified framework.
- To identify environmental conditions influencing the biodiversity-disturbance relationship.
Main Methods:
- Utilized REvoSim, an individual-based, eco-evolutionary simulation system.
- Modeled sessile organism evolution across environments with varied instability magnitudes and scales.
- Analyzed the effects of localized and broad-scale environmental instability.
Main Results:
- Localized instability reduces biodiversity in permanently heterogeneous environments.
- Localized instability increases biodiversity in environments lacking permanent heterogeneity.
- Broad-scale instability consistently reduces biodiversity across all tested environments.
Conclusions:
- The impact of localized environmental instability on biodiversity is context-dependent.
- Broad-scale instability poses a consistent threat to biodiversity.
- Findings offer insights for conserving adaptive potential amidst the biodiversity crisis.
Keywords:
biodiversitydiversity gradientindividual-based simulationpatch-mosaic hypothesisstability-time hypothesisMore Related Videos
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