Dataset and codes for: Partitioning the apparent temperature sensitivity between autotrophic and heterotrophic protists
Authors/Creators
- 1. University of Strathclyde
- 2. University of Liverpool
- 3. Jinan University
- 4. The Hong Kong University of Science and Technology
- 5. University of Rhode Island
Description
Conventional analyses suggest the metabolism of heterotrophs is thermally more sensitive than that of autotrophs, implying that warming leads to pronounced trophodynamic imbalances. However, these analyses inappropriately combine within- and across-taxa trends. We present a novel mathematic framework to separate these, revealing that the higher temperature sensitivity of heterotrophs is mainly caused by within-taxa responses which account for 92% of the difference between autotrophic and heterotrophic protists. This dataset contains both the datasets and R codes of per capita growth rates of autotrophic and heterotrophic protists as well as heterotrophic bacteria and insects.
Notes
We use the free software R (version 4.2.0) with R packages (foreach, nlme, plyr, dplyr) to analyse these datasets. R codes are also provided.
Funding provided by: Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100019651
Award Number: SMSEGL20SC02
Funding provided by: Universitetet i Bergen
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100005036
Award Number: FILAMO mobility grant
Funding provided by: Leverhulme Trust
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000275
Award Number: RPG-2020-389
Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: OCE-1736635
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Additional details
Related works
- Is source of
- 10.5061/dryad.dr7sqvb1v (DOI)