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Temperature-Dependent Evolutionary Speed Shapes the Evolution of Biodiversity Patterns Across Tetrapod Radiations
A Skeels1,2, W Bach1,2, O Hagen1,2,3
1Department of Environmental Systems Sciences, Landscape Ecology, Institute of Terrestrial Ecosystems, ETH Zürich, Zurich 8092, Switzerland.
Systematic Biology
|July 9, 2022
Summary
Environmental energy influences biodiversity through evolutionary speed. This study shows temperature-dependent speciation rates best explain global biodiversity patterns in tetrapods.
Area of Science:
- Macroevolutionary biology
- Eco-evolutionary dynamics
- Biogeography
Background:
- Global biodiversity patterns are linked to environmental energy, but the underlying evolutionary mechanisms are not fully understood.
- The evolutionary speed hypothesis posits that environmental kinetic energy influences speciation rates via temperature or life history.
- Testing this hypothesis requires integrating ecological and evolutionary processes over geological timescales.
Purpose of the Study:
- To test whether evolutionary speed, specifically temperature-dependent speciation, explains the relationship between environmental energy and biodiversity.
- To investigate the roles of temperature and life history in shaping macroevolutionary diversification.
- To compare process-based simulation modeling with statistical inference for understanding biodiversity patterns.
Main Methods:
- Developed a spatially explicit eco-evolutionary simulation model to simulate tetrapod diversification over 65 million years.
- Modeled four scenarios: speciation rates dependent on temperature (M1), life history (M2), both (M3), or neither (M0).
- Employed supervised machine learning for model selection to compare simulated data with empirical biodiversity patterns.
Main Results:
- The model with temperature-dependent speciation rates (M1) showed the strongest support across multidimensional biodiversity patterns.
- Process-based modeling revealed a significant role for temperature in driving speciation, contrasting with some statistical findings.
- Environmental energy, particularly temperature, is demonstrated as a fundamental driver of biodiversity evolution over deep time.
Conclusions:
- Temperature-dependent evolutionary rates are a key mechanism explaining the link between environmental energy and global biodiversity.
- Eco-evolutionary simulation models provide powerful insights into macroevolutionary processes that may be missed by statistical analyses alone.
- Environmental energy has played a critical role in shaping the diversification of life throughout Earth's history.
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