Dataset: Estimated thermal capacities for phytoplankton strains

Final no updates expectedDOI: 10.26008/1912/bco-dmo.839713.1Version 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 capacities for phytoplankton strains assessed in Anderson et al., Marine Phytoplankton Functional Types Exhibit Diverse Responses to Thermal Change (in review).

Metrics for thermal capacity were calculated for phytoplankton strains of known origin (coccolithophores = 24, cyanobacteria = 31, diatoms = 115, dinoflagellates = 38). Trait values (derived_traits.csv) were used to compute the TSM (Topt – Thabitat) and the WT (Tmax-Thabitat). Additionally, we defined a new metric termed the distance to the growth equivalence (DGE), which describes the distance (ºC) to the temperature at which growth is equivalent to that at the organism’s mean habitat temperature (Tµequiv – Thabitat), but on the opposite side of the reaction norm.

To estimate past and future habitat temperatures for each phytoplankton strain, we utilized an ensemble mean of modeled sea surface temperature (SST) projections from the Coupled Model Intercomparison Project phase 5 (CMIP5), available at a 1.25° resolution, and presented in the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (Collins et al., 2013). This data was extracted from the Royal Netherlands Meteorological Institute Climate Explorer portal (http://climexp.knmi.nl). Projections for sea surface temperature (SST) warming were calculated between a baseline (1950-1970) and future (2080-2100) time period under Representative Concentration Pathway RCP8.5.

All analyses were conducted in R 3.6.1 (2019).

Complete information on each isolate and their thermal traits can be found in related dataset, https://www.bco-dmo.org/dataset/839689.


Related Datasets

IsRelatedTo

Dataset: Modeled thermal traits
Relationship Description: Contains complete information on each isolate and their thermal traits.
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 doi:10.26008/1912/bco-dmo.839689.1

Related Publications

Methods

Collins, M. et al. Long-term Climate Change: Projections, Commitments and Irreversibility. in Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (eds. Stocker, T. F. et al.) 1029–1136 (Cambridge University Press, 2013).
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/