http://lod.bco-dmo.org/id/dataset/544814
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2015-01-14
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Laboratory results on marine phytoplankton growth rates, temperatures, and isolation locations collected at Michigan State University in 2012
2014-12-22
publication
2014-12-22
revision
BCO-DMO Linked Data URI
2014-12-22
creation
http://lod.bco-dmo.org/id/dataset/544814
Elena Litchman
Michigan State University
principalInvestigator
Christopher Klausmeier
Michigan State University
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Litchman, E., Klausmeier, C. (2014) Laboratory results on marine phytoplankton growth rates, temperatures, and isolation locations collected at Michigan State University in 2012. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 2014-12-22) Version Date 2014-12-22 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/544814 [access date]
Marine phytoplankton growth rates, temperatures and isolation locations Dataset Description: <p>This dataset gives marine phytoplankton growth rates, isolation locations and temperature,&nbsp;and the literature sources for the studies.&nbsp;The data are a compilation of measurements made in laboratories around the world.</p> Methods and Sampling: <p>Text here is modified from the supplementary information of Thomas et al. (2012):</p>
<p>We assembled a data set containing growth rate measurements of marine and estuarine phytoplankton at different temperatures that have been published over the past century. Where data were available only in the form of graphs, they were digitized using the program g3data.</p>
<p>Several criteria were used to determine the inclusion of species/strain data in our dataset.</p>
<p>1) To facilitate comparisons across studies we only included data for growth rates measured in units that could be converted to specific growth rate.</p>
<p>2) Because we were primarily concerned with estimating the temperature at which strains/species achieve their maximum growth rates, we rejected data from thermal reaction norms where the largest measured growth rate occurred at the lowest or highest temperature considered.</p>
<p>3) Published reaction norms with fewer than four measured growth rates were excluded, as were curves showing strong bimodality, which we attributed to imprecise experimental measurements.</p>
<p>4) Where multiple published reaction norms on the same isolate existed and were measured under different experimental conditions (salinity, nutrient limitation, light levels, day length), we preferentially selected ones meeting the following conditions:</p>
<p class="rteindent1">a. Salinity between 30 and 40 parts per thousand.</p>
<p class="rteindent1">b. Light levels greater than or equal to 100 microeinsteins.m<sup>-2</sup>.s<sup>-1</sup>.</p>
<p class="rteindent1">c. Not experimentally limited by nutrients</p>
<p class="rteindent1">d. Day lengths of greater than or equal to 10 hours.</p>
<p class="rteindent1">When no reaction norms for a particular isolate satisfied these experimental constraints, we settled for using data from the curve(s) that were closest to the desired light and salinity levels.</p>
<p class="rteindent1">5) We considered only marine and estuarine strains not isolated from inland waters.</p>
<p>After applying these criteria, we had data for a total of 194 isolates/strains belonging to approximately 130 species, from 111 unique isolation locations ranging in latitude from 76°N to 75°S.</p>
<p><strong>Related Reference:</strong></p>
<p>Thomas, M. K., Kremer, C. T., Klausmeier, C. A., &amp; Litchman, E. (2012). A &nbsp;global pattern of thermal adaptation in marine phytoplankton. Science, 338(6110), &nbsp;1085-1088. &nbsp;<span style="color:rgb(51, 51, 0); font-family:lucida grande,arial,helvetica,sans-serif; font-size:12px">DOI:&nbsp;</span><span style="color:rgb(51, 51, 0); font-family:lucida grande,arial,helvetica,sans-serif; font-size:12px">10.1126/science.1224836.</span></p>
<p>Supplemental materials:&nbsp;http://www.sciencemag.org/content/suppl/2012/10/25/science.1224836.DC1/Thomas.SM.pdf&nbsp;</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-0928819 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=0928819
completed
Elena Litchman
Michigan State University
269-671-2338
3700 E Gull Lake Dr.
Hickory Corners
MI
49060
USA
litchman@msu.edu
pointOfContact
Christopher Klausmeier
Michigan State University
W. K. Kellogg Biological Station
Hickory Corners
MI
49060
USA
klausme1@msu.edu
pointOfContact
asNeeded
Dataset Version: 2014-12-22
Unknown
strain
lat
lon
temp
growth_rate
taxon
study
theme
None, User defined
sample identification
latitude
longitude
water temperature at measurement depth
growth
taxon
No BCO-DMO term
featureType
BCO-DMO Standard Parameters
Litchman_2012
service
Deployment Activity
Michigan State University
place
Locations
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Phytoplankton Traits, Functional Groups and Community Organization: A Synthesis
https://osprey.bco-dmo.org/project/543188
Phytoplankton Traits, Functional Groups and Community Organization: A Synthesis
<p><em>Description from NSF award abstract:</em><br />
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:<br />
1) what traits exhibit trade-offs (pairwise and beyond) and what shapes are they?<br />
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?<br />
3) What are trait differences among major functional/taxonomic groups of phytoplankton and how much does taxonomy/phylogeny constrain particular functional traits?<br />
4) Are there differences in trait distributions between marine and freshwater groups?</p>
<p>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.</p>
Phytoplankton Traits
largerWorkCitation
project
eng; USA
biota
oceans
Michigan State University
2014-12-22
0
BCO-DMO catalogue of parameters from Laboratory results on marine phytoplankton growth rates, temperatures, and isolation locations collected at Michigan State University in 2012
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/544822.rdf
Name: strain
Units: unitless
Description: <p>Index number for each strain in the dataset.</p>
http://lod.bco-dmo.org/id/dataset-parameter/544823.rdf
Name: lat
Units: decimal degrees
Description: <p>Latitude at which the strain was originally isolated; north is positive</p>
http://lod.bco-dmo.org/id/dataset-parameter/544824.rdf
Name: lon
Units: decimal degrees
Description: <p>Longitude at which the strain was originally isolated; east is positive</p>
http://lod.bco-dmo.org/id/dataset-parameter/544825.rdf
Name: temp
Units: degrees Celsius
Description: <p>Temperature at which the growth rate was measured</p>
http://lod.bco-dmo.org/id/dataset-parameter/544826.rdf
Name: growth_rate
Units: units/day
Description: <p>Measured specific growth rates</p>
http://lod.bco-dmo.org/id/dataset-parameter/544827.rdf
Name: taxon
Units: unitless
Description: <p>Species name, including strain/clone name where available. In some cases, taxa were not identified to a species level; in this case the available identifying information was provided.</p>
http://lod.bco-dmo.org/id/dataset-parameter/544828.rdf
Name: study
Units: unitless
Description: <p>Reference to the published paper from which the data were collected. The complete reference may be found in the supplementary information of Thomas et al. (2012). 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. Specifically, pages 27-36 at <a href="http://www.sciencemag.org/content/suppl/2012/10/25/science.1224836.DC1/Thomas.SM.pdf" target="_blank">http://www.sciencemag.org/content/suppl/2012/10/25/science.1224836.DC1/Thomas.SM.pdf</a></p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
133666
https://datadocs.bco-dmo.org/file/N77GrV1fZ6x0lk/growth_rates.csv
growth_rates.csv
Primary data file for dataset ID 544814
download
https://osprey.bco-dmo.org/dataset/544814/data/download
download
onLine
dataset
<p>Text here is modified from the supplementary information of Thomas et al. (2012):</p>
<p>We assembled a data set containing growth rate measurements of marine and estuarine phytoplankton at different temperatures that have been published over the past century. Where data were available only in the form of graphs, they were digitized using the program g3data.</p>
<p>Several criteria were used to determine the inclusion of species/strain data in our dataset.</p>
<p>1) To facilitate comparisons across studies we only included data for growth rates measured in units that could be converted to specific growth rate.</p>
<p>2) Because we were primarily concerned with estimating the temperature at which strains/species achieve their maximum growth rates, we rejected data from thermal reaction norms where the largest measured growth rate occurred at the lowest or highest temperature considered.</p>
<p>3) Published reaction norms with fewer than four measured growth rates were excluded, as were curves showing strong bimodality, which we attributed to imprecise experimental measurements.</p>
<p>4) Where multiple published reaction norms on the same isolate existed and were measured under different experimental conditions (salinity, nutrient limitation, light levels, day length), we preferentially selected ones meeting the following conditions:</p>
<p class="rteindent1">a. Salinity between 30 and 40 parts per thousand.</p>
<p class="rteindent1">b. Light levels greater than or equal to 100 microeinsteins.m<sup>-2</sup>.s<sup>-1</sup>.</p>
<p class="rteindent1">c. Not experimentally limited by nutrients</p>
<p class="rteindent1">d. Day lengths of greater than or equal to 10 hours.</p>
<p class="rteindent1">When no reaction norms for a particular isolate satisfied these experimental constraints, we settled for using data from the curve(s) that were closest to the desired light and salinity levels.</p>
<p class="rteindent1">5) We considered only marine and estuarine strains not isolated from inland waters.</p>
<p>After applying these criteria, we had data for a total of 194 isolates/strains belonging to approximately 130 species, from 111 unique isolation locations ranging in latitude from 76°N to 75°S.</p>
<p><strong>Related Reference:</strong></p>
<p>Thomas, M. K., Kremer, C. T., Klausmeier, C. A., &amp; Litchman, E. (2012). A &nbsp;global pattern of thermal adaptation in marine phytoplankton. Science, 338(6110), &nbsp;1085-1088. &nbsp;<span style="color:rgb(51, 51, 0); font-family:lucida grande,arial,helvetica,sans-serif; font-size:12px">DOI:&nbsp;</span><span style="color:rgb(51, 51, 0); font-family:lucida grande,arial,helvetica,sans-serif; font-size:12px">10.1126/science.1224836.</span></p>
<p>Supplemental materials:&nbsp;http://www.sciencemag.org/content/suppl/2012/10/25/science.1224836.DC1/Thomas.SM.pdf&nbsp;</p>
Specified by the Principal Investigator(s)
<p>1) Measurements have been converted to units of specific growth rate (day<sup>-1</sup>) where they were presented in other units.</p>
<p>2) Where the highest or lowest pair of measurements were zero or negative, the more extreme value was excluded (e.g. where the lowest 2 measurements were at 5 and 10 degrees and were both zero, the 5 degree measurement is excluded). This is because measurements of negative growth rates are experimentally challenging and frequently unreliable; including these poor estimates tends to skew the shape of fitted thermal reaction norms.</p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
Deployment: Litchman_2012
Litchman_2012
lab Litchman
laboratory
Litchman_2012
Elena Litchman
Michigan State University
lab Litchman
laboratory