Phytoplankton nutrient traits and data sources collected from the Kellogg Biological Station, MSU, Michigan in 2014 (Phytoplankton Traits project)

Website: https://www.bco-dmo.org/dataset/636127
Data Type: experimental
Version: 2
Version Date: 2021-06-10

Project
» Phytoplankton Traits, Functional Groups and Community Organization: A Synthesis (Phytoplankton Traits)
ContributorsAffiliationRole
Litchman, ElenaMichigan State University (MSU)Principal Investigator
Edwards, Kyle F.University of Hawaii at Manoa (SOEST)Co-Principal Investigator
Klausmeier, ChristopherMichigan State University (MSU)Co-Principal Investigator
Copley, NancyWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager


Dataset Description

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.

Full metadata details

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


Acquisition Description

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.


Processing Description

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."


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Parameters

ParameterDescriptionUnits
speciesSpecies name text
isolateIsolate ID text
taxonTaxon name text
systemFreshwater/marine text
temperatureCulture temperature degrees Celsius
irradianceCulture irradiance umol photons/m^2/s^1
light_hoursCulture daylength hr
synonymFormer species name text
volumeCell volume um3
c_per_cellCarbon per cell umol cell-1
c_citationC per cell citation integer
mu_inf_ammu(infinity) for ammonium-limited growth day-1
mu_ammumax for ammonium-limited growth day-1
k_amm_mKm for ammonium-limited growth umol L-1
k_ammK for ammonium uptake umol L-1
vmax_ammVmax for ammonium uptake umol N cell-1 day-1
vmax_amm_cVmax:C for ammonium uptake umol N umol C-1 day -1
qmin_ammQmin for ammonium-limited growth umol N cell-1
qmin_amm_cQmin:C for ammonium-limited growth umol N umol C-1
qmax_ammQmax for ammonium-limited growth umol N cell-1
qmax_amm_cQmax:C for ammonium-limited growth umol N umol C-1
mu_inf_nitu(infinity) for nitrate-limited growth day-1
mu_nitumax for nitrate-limited growth day-1
k_nit_mKm for nitrate-limited growth umol L-1
k_nitK for nitrate uptake umol L-1
vmax_nitVmax for nitrate uptake umol N cell-1 day-1
vmax_nit_cVmax:C for nitrate uptake umol N umol C-1 day-1
qmin_nitQmin for nitrate-limited growth umol N cell-1
qmin_nit_cQmin:C for nitrate-limited growth umol N umol C-1
qmax_nitQmax for nitrate-limited growth umol N cell-1
qmax_nit_cQmax:C for nitrate-limited growth umol N umol C-1
mu_inf_pu(infinity) for phosphate-limited growth day-1
mu_pumax for phosphate-limited growth day-1
k_p_mKm for phosphate-limited growth umol L-1
k_pK for phosphate uptake umol L-1
vmax_pVmax for phosphate uptake umol P cell-1 day-1
vmax_p_cVmax:C for phosphate uptake umol P umol C-1 day-1
qmin_pQmin for phosphate-limited growth umol P cell-1
qmin_p_cQmin:C for phosphate-limited growth umol P umol C-1
qmax_pQmax for phosphate-limited growth umol P cell-1
qmax_p_cQmax:C for phosphate-limited growth umol P umol C-1
citation_codePublication code integer
full_citationCitation for the original publication string

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Deployments

Litchman_2014

Website
Platform
Unknown Platform
Start Date
2014-01-01
End Date
2014-12-31
Description
Phytoplankton trait studies


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Project Information

Phytoplankton Traits, Functional Groups and Community Organization: A Synthesis (Phytoplankton Traits)


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.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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