| Contributors | Affiliation | Role |
|---|---|---|
| Litchman, Elena | Michigan State University (MSU) | Principal Investigator |
| Edwards, Kyle F. | University of Hawaii at Manoa (SOEST) | Co-Principal Investigator |
| Klausmeier, Christopher | Michigan State University (MSU) | Co-Principal Investigator |
| Copley, Nancy | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
This dataset combines Tables 1 and 2 from Edwards et al (2015) Ecology. Cell volume measurements for nearly all species in the nutrient trait data set is also available, see Table 3. Nutrient utilization traits. Each row presents a single species/strain from one publication. If multiple traits were measured on that strain in that publication, they are all listed in the same row. If the same strain was tested at multiple temperatures, the measurements from each temperature are recorded in different rows. Temperature of the experiment, irradiance, day length, taxon, system (freshwater/marine), isolate ID, cell volume, C per cell, and citation source are all included as well.
These data were obtained from http://www.esapubs.org/archive on 2016-01-21.
Related Reference:
Kyle F. Edwards, Christopher A. Klausmeier, and Elena Litchman. 2015. Nutrient utilization traits of phytoplankton. Ecology 96:2311. http://dx.doi.org/10.1890/14-2252.1
Data acquisition, methodology, and criteria for inclusion: We comprehensively searched the literature for studies that used unialgal cultures to measure how phytoplankton growth, nutrient content, and nutrient uptake rate respond to nutrient supply. We focused on experiments using nitrate, ammonium, or phosphate as the limiting nutrient. We only compiled studies where light was not strongly limiting, and where only a single nutrient was limiting. For one diazotroph (Trichodesmium), the experiments compiled here did not include nitrogen in the medium.
BCO-DMO data manager processing notes
* Version 2 (2021-06-10) replaces version 1 (2016-01-21). There was an unsupported character in the source file. Converted to utf-8. Author's name in comment now reads "Toxic Marine Phytoplankton vol. 4, eds. A. Gran´li, B. Sundstr_m, and L. Edler."
| File |
|---|
nut_traits_T1-2.csv (Comma Separated Values (.csv), 140.00 KB) MD5:4cf20e74f1c1c2152a369f074aebc0b2 Primary data file for dataset ID 636127 |
| Parameter | Description | Units |
| species | Species name | text |
| isolate | Isolate ID | text |
| taxon | Taxon name | text |
| system | Freshwater/marine | text |
| temperature | Culture temperature | degrees Celsius |
| irradiance | Culture irradiance | umol photons/m^2/s^1 |
| light_hours | Culture daylength | hr |
| synonym | Former species name | text |
| volume | Cell volume | um3 |
| c_per_cell | Carbon per cell | umol cell-1 |
| c_citation | C per cell citation | integer |
| mu_inf_amm | u(infinity) for ammonium-limited growth | day-1 |
| mu_amm | umax for ammonium-limited growth | day-1 |
| k_amm_m | Km for ammonium-limited growth | umol L-1 |
| k_amm | K for ammonium uptake | umol L-1 |
| vmax_amm | Vmax for ammonium uptake | umol N cell-1 day-1 |
| vmax_amm_c | Vmax:C for ammonium uptake | umol N umol C-1 day -1 |
| qmin_amm | Qmin for ammonium-limited growth | umol N cell-1 |
| qmin_amm_c | Qmin:C for ammonium-limited growth | umol N umol C-1 |
| qmax_amm | Qmax for ammonium-limited growth | umol N cell-1 |
| qmax_amm_c | Qmax:C for ammonium-limited growth | umol N umol C-1 |
| mu_inf_nit | u(infinity) for nitrate-limited growth | day-1 |
| mu_nit | umax for nitrate-limited growth | day-1 |
| k_nit_m | Km for nitrate-limited growth | umol L-1 |
| k_nit | K for nitrate uptake | umol L-1 |
| vmax_nit | Vmax for nitrate uptake | umol N cell-1 day-1 |
| vmax_nit_c | Vmax:C for nitrate uptake | umol N umol C-1 day-1 |
| qmin_nit | Qmin for nitrate-limited growth | umol N cell-1 |
| qmin_nit_c | Qmin:C for nitrate-limited growth | umol N umol C-1 |
| qmax_nit | Qmax for nitrate-limited growth | umol N cell-1 |
| qmax_nit_c | Qmax:C for nitrate-limited growth | umol N umol C-1 |
| mu_inf_p | u(infinity) for phosphate-limited growth | day-1 |
| mu_p | umax for phosphate-limited growth | day-1 |
| k_p_m | Km for phosphate-limited growth | umol L-1 |
| k_p | K for phosphate uptake | umol L-1 |
| vmax_p | Vmax for phosphate uptake | umol P cell-1 day-1 |
| vmax_p_c | Vmax:C for phosphate uptake | umol P umol C-1 day-1 |
| qmin_p | Qmin for phosphate-limited growth | umol P cell-1 |
| qmin_p_c | Qmin:C for phosphate-limited growth | umol P umol C-1 |
| qmax_p | Qmax for phosphate-limited growth | umol P cell-1 |
| qmax_p_c | Qmax:C for phosphate-limited growth | umol P umol C-1 |
| citation_code | Publication code | integer |
| full_citation | Citation for the original publication | string |
| Website | |
| Platform | Unknown Platform |
| Start Date | 2014-01-01 |
| End Date | 2014-12-31 |
| Description | Phytoplankton trait studies |
Description from NSF award abstract:
Phytoplankton account for half of global primary productivity and their biomass and community composition significantly impact global carbon and other biogeochemical cycles and ecosystem functioning. Explaining patterns of global distributions of phytoplankton groups and predicting how phytoplankton communities will re-organize under anthropogenic environmental change requires knowledge of diverse eco-physiological traits defining ecological niches of phytoplankton species. In this project, the investigators will assemble a query-based database of diverse phytoplankton traits such as cell/colony size, growth rates, resource acquisition and predator avoidance traits, among others. Data for all available species and strains will be included. They will use the database to answer fundamental questions in phytoplankton ecology such as:
1) what traits exhibit trade-offs (pairwise and beyond) and what shapes are they?
2) What traits scale allometrically with cell/body size? Can scaling exponents from first principles be predicted? What are potential limits to allometric scaling as a way of simplifying the complex trait space that characterizes real organisms?
3) What are trait differences among major functional/taxonomic groups of phytoplankton and how much does taxonomy/phylogeny constrain particular functional traits?
4) Are there differences in trait distributions between marine and freshwater groups?
The investigators will also use the database to parameterize novel models of phytoplankton community organization and evolution based on adaptive dynamics approaches. They will use the models to explore how community structure emerges under different environmental scenarios, given physiological constraints and ecological interactions. Changes in elemental stoichiometry, size structure and functional group distributions at different spatial and temporal scales will also be examined.
| Funding Source | Award |
|---|---|
| NSF Division of Ocean Sciences (NSF OCE) |