Dataset: Estimated thermal traits for phytoplankton

Final no updates expectedDOI: 10.26008/1912/bco-dmo.839689.1Version 1 (2021-02-04)Dataset Type:Other Field Results

Principal Investigator: Tatiana A. Rynearson (University of Rhode Island)

Contact: Stephanie I. Anderson (University of Rhode Island)

BCO-DMO Data Manager: Shannon Rauch (Woods Hole Oceanographic Institution)

Program: Dimensions of Biodiversity (Dimensions of Biodiversity)

Project: Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients (Phytoplankton Community Responses)

Abstract

Estimated thermal traits for phytoplankton assessed in Anderson et al., Marine Phytoplankton Functional Types Exhibit Diverse Responses to Thermal Change (in review).

Cite Dataset

Phytoplankton thermal traits were estimated for diatoms (n=135), dinoflagellates (n=46), coccolithophores (n=30), and cyanobacteria (n=32). This dataset contains estimated traits and parameters presented in Thomas et al (2012) as well as those for 59 additional strains (Anderson et al, in review). Study selection followed the criteria outlined in Thomas et al (2012) and Anderson et al (in review).

Related Datasets

IsRelatedTo
Dataset: Thermal capacities
Relationship Description: Contains complete information on each isolate and their thermal traits.
Rynearson, T. A. (2021) Estimated thermal capacities for phytoplankton strains. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-02-04 doi:10.26008/1912/bco-dmo.839713.1
IsRelatedTo
Dataset: Thermal growth rates
Relationship Description: Contains the thermal growth rates used to fit thermal reaction norms.
Rynearson, T. A. (2021) Literature compilation of thermal growth rates from four phytoplankton functional types. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-02-04 doi:10.26008/1912/bco-dmo.839696.1

Related Publications

Methods
Thomas, M. K., Kremer, C. T., & Litchman, E. (2015). Environment and evolutionary history determine the global biogeography of phytoplankton temperature traits. Global Ecology and Biogeography, 25(1), 75–86. doi:10.1111/geb.12387
Methods
Thomas, M. K., Kremer, C. T., Klausmeier, C. A., & Litchman, E. (2012). A Global Pattern of Thermal Adaptation in Marine Phytoplankton. Science, 338(6110), 1085–1088. doi:10.1126/science.1224836
Software
R Core Team (2019). R: A language and environment for statistical computing. R v3.5.1. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/

Rynearson, T. A. (2021) Estimated thermal traits for phytoplankton. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-02-04 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.839689.1 [access date]

Terms of Use

This dataset is licensed under Creative Commons Attribution 4.0.


If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.

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Funded by the U.S. National Science Foundation