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Published on: February 14, 2021
Hatch success and temperature-dependent development time in two broadly distributed topminnows (Fundulidae)
1Department of Biological Sciences, University of Southern Mississippi, Hattiesburg, MS 39406, USA. jake.schaefer@usm.edu
Die Naturwissenschaften
|July 4, 2012
Summary
Metabolic scaling laws are challenged by evolutionary tradeoffs. This study on topminnows shows species-specific thermal performance, with deviations from universal laws occurring outside optimal temperatures.
Area of Science:
- Ecology
- Evolutionary Biology
- Physiology
Background:
- Metabolic scaling laws offer insights into biological systems but face criticism for oversimplification and neglecting evolutionary trade-offs.
- Understanding temperature-dependent physiological processes is crucial for predicting species' responses to environmental changes.
Purpose of the Study:
- To investigate hatch success and egg development time in two topminnow species across their latitudinal ranges.
- To assess if thermal performance varies between species and across latitudinal populations.
- To evaluate the predictive accuracy of universal metabolic scaling laws in light of evolutionary adaptations.
Main Methods:
- Experimental measurement of hatch success and egg development time for 12 populations of two Fundulus species.
- Exposure of eggs to six different temperatures across their natural latitudinal distribution.
- Analysis of reaction norms and mass-corrected development time in relation to temperature and population origin.
Main Results:
- Fundulus notatus exhibited broader thermal tolerance (eurythermic) with a lower optimal temperature compared to Fundulus olivaceus.
- Temperature was the primary factor influencing mass-corrected development time.
- Significant differences in development time were observed between the two species, but not between northern and southern populations.
Conclusions:
- Evolutionary adaptations lead to species-specific thermal performance curves, challenging universal metabolic scaling predictions.
- Deviations from predicted scaling laws are most significant at temperatures outside the species' thermal optima.
- The findings highlight the importance of considering evolutionary context in ecological and physiological models.
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