Thermal performance curves of Paramecium caudatum: A model selection approach
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
The ongoing climate change has motivated numerous studies investigating the temperature response of various organisms, especially that of ectotherms. To correctly describe the thermal performance of these organisms, functions are needed which sufficiently fit to the complete optimum curve. Surprisingly, model-comparisons for the temperature-dependence of population growth rates of an important ectothermic group, the protozoa, are still missing. In this study, temperature reaction norms of natural isolates of the freshwater protist Paramecium caudatum were investigated, considering nearly the entire temperature range. These reaction norms were used to estimate thermal performance curves by applying a set of commonly used model functions. An information theory approach was used to compare models and to identify the best ones for describing these data. Our results indicate that the models which can describe negative growth at the high- and low-temperature branch of an optimum curve are preferable. This is a prerequisite for accurately calculating the critical upper and lower thermal limits. While we detected a temperature optimum of around 29 °C for all investigated clonal strains, the critical thermal limits were considerably different between individual clones. Here, the tropical clone showed the narrowest thermal tolerance, with a shift of its critical thermal limits to higher temperatures.
Details
Original language | English |
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Pages (from-to) | 124-137 |
Number of pages | 14 |
Journal | European journal of protistology |
Volume | 47 |
Issue number | 2 |
Publication status | Published - May 2011 |
Peer-reviewed | Yes |
External IDs
PubMed | 21277756 |
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ORCID | /0000-0002-4951-6468/work/142256761 |
ORCID | /0000-0002-9301-1803/work/161409785 |
Keywords
Sustainable Development Goals
ASJC Scopus subject areas
Keywords
- Ciliate, Ecophysiological characteristics, Non-linear models, Paramecium, Population growth rate, Temperature