Chen, Bingzhang 
ORCID: https://orcid.org/0000-0002-1573-7473, Montagnes, David, Wang, Qing, Liu, Hongbin and Menden-Deuer, Susanne
(2022)
Dataset and codes for: Partitioning the apparent temperature sensitivity between autotrophic and heterotrophic protists.
[Data Collection]
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.
| Keywords: | Dryad,Activation energy,OLS linear regression,variance,thermal adaptation,warming, |
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| Depositing User: | Data Catalogue Admin |
| Date Deposited: | 26 Jan 2023 17:29 |
| Last Modified: | 26 Jan 2023 18:45 |
| DOI: | 10.5061/dryad.dr7sqvb1v |
| Original Record Link: | https://datadryad.org/stash/share/qayi3C6ZwThJ_nzjqOF634LT_SvxZTq8QIs-YsZO1AM |
| URI: | https://datacat.liverpool.ac.uk/id/eprint/2014 |
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