Contributors | Affiliation | Role |
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Phillips, Nicole | Victoria University of Wellington | Principal Investigator, Contact |
Biddle, Mathew | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
These data are from an experiment that test the nutritional strategies of Ceraesignum (Dendropoma) maximum larvae. For additional datasets see related files.
Related Datasets:
In this experiment, larvae were placed into feeding treatments with different types of phytoplankton to determine larval nutritional strategies.
Larvae hatched on Sept 24, 2009 and were distributed into tubs on 500mL filtered sea water (FSW). Three larval feeding treatments with different species of phytoplankton, all at 10 x 104 cells mL-1: Isochrysis galbana (‘‘Iso’’ treatment), Dunaliella tertiolecta (‘‘Dun’’ treatment), a 1:1 ratio of I. galbana and D. tertio- lecta (‘‘Mixed’’ treatment), plus an Unfed treatment in which larvae were raised in FSW. Investigators used a hemocytometer to count algal cells and calculate densities of phytoplankton stocks and amount of stock to add to containers for each treatment. Each of the four treatments had three replicate containers; 45 larvae were placed into each container initially except for the Unfed treatment which had 40 larvae per container. Every 3 days for 18 days starting on Sept 24, 2009, larvae were counted in each container to quantify survival. Water and food were also replenished. On days 3, 6, 9 and 18, six larvae per container were haphazardly sampled and preserved them in 70% ethanol for later measurement of protoconch height. On day 10, 15 larvae were transferred for the settlement challenge experiment. On day 18, the remaining larvae were transferred.
For days 6 and 9, the 6 that were removed were considered alive, so added into the analysis for day 12, the number alive are the number remaining after 15 were removed for the settlement challenge.
BCO-DMO Processing:
File |
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Phillips_2011_Expt1_LarvalMortality.csv (Comma Separated Values (.csv), 1.66 KB) MD5:069770a069c624a691c253c9b1c24cc1 Primary data file for dataset ID 725276 |
Parameter | Description | Units |
Food_treatment | type of food given to larvae(Isochrysis galbana = Iso; Dunaliella tertiolecta = Dun; 1:1 ratio of Iso and Dun = Mixed) | unitless |
Replicate_tub | replicate number | unitless |
number_alive_initial | the number larvae in treatments alive initially | unitless |
number_alive_day_3 | number of alive larvae found on day 3 | unitless |
number_dead_day_3 | number of dead larvae found on day 3 | unitless |
number_missing_day_3 | number of missing larvae day 3 (calculated by the total number alive and dead subtracted from the previous sample alive) | unitless |
number_alive_day_6 | number of alive larvae found on day 6 | unitless |
number_dead_day_6 | number of dead larvae found on day 6 | unitless |
number_missing_day_6 | number of missing larvae day 6 (calculated by the total number alive and dead subtracted from the previous sample alive) | unitless |
number_alive_day_9 | number of alive larvae found on day 9 | unitless |
number_dead_day_9 | number of dead larvae found on day 9 | unitless |
number_missing_day_9 | number of missing larvae day 9 (calculated by the total number alive and dead subtracted from the previous sample alive) | unitless |
transferred_to_settlement_challenge_and_sampled | number of larvae transfered to settlement challenge | unitless |
number_remaining | number of larvae remaining for mortality experiment | unitless |
number_alive_day_12 | number of alive larvae found on day 12 | unitless |
number_dead_day_12 | number of dead larvae found on day 12 | unitless |
number_missing_day_12 | number of missing larvae day 12 (calculated by the total number alive and dead subtracted from the previous sample alive) | unitless |
number_alive_day_15 | number of alive larvae found on day 15 | unitless |
number_dead_day_15 | number of dead larvae found on day 15 | unitless |
number_missing_day_15 | number of missing larvae day 15 (calculated by the total number alive and dead subtracted from the previous sample alive) | unitless |
number_alive_day_18 | number of alive larvae found on day 18 | unitless |
number_dead_day_18 | number of dead larvae found on day 18 | unitless |
number_missing_day_18 | number of missing larvae day 18 (calculated by the total number alive and dead subtracted from the previous sample alive) | unitless |
survival_day_3 | percent survival from day 1 to 3 (number alive on day of sampling/ number alive on the preceding sample date)*100 | unitless (percent) |
survival_day_6 | percent survival from day 3 to 6 (number alive on day of sampling/ number alive on the preceding sample date)*100 | unitless (percent) |
survival_day_9 | percent survival from day 6 to 9 (number alive on day of sampling/ number alive on the preceding sample date)*100 | unitless (percent) |
survival_day_12 | percent survival from the ones number remaining day 10 (number alive on day of sampling/ number alive on the preceding sample date)*100 | unitless (percent) |
survival_day_15 | percent survival from day 12 to 15 (number alive on day of sampling/ number alive on the preceding sample date)*100 | unitless (percent) |
survival_day_18 | percent survival from day 15 to 18 (number alive on day of sampling/ number alive on the preceding sample date)*100 | unitless (percent) |
Dataset-specific Instrument Name | hemocytometer |
Generic Instrument Name | Hemocytometer |
Dataset-specific Description | Investigators used a hemocytometer to count algal cells and calculate densities of phytoplankton stocks and amount of stock to add to containers for each treatment. |
Generic Instrument Description | A hemocytometer is a small glass chamber, resembling a thick microscope slide, used for determining the number of cells per unit volume of a suspension. Originally used for performing blood cell counts, a hemocytometer can be used to count a variety of cell types in the laboratory. Also spelled as "haemocytometer". Description from:
http://hlsweb.dmu.ac.uk/ahs/elearning/RITA/Haem1/Haem1.html. |
Website | |
Platform | Osenberg et al Moorea |
Start Date | 2003-05-19 |
End Date | 2015-07-12 |
Description from NSF abstract:
Ecological surprises are most likely to be manifest in diverse communities where many interactions remain uninvestigated. Coral reefs harbor much of the world's biodiversity, and recent studies by the investigators suggest that one overlooked, but potentially important, biological interaction involves vermetid gastropods. Vermetid gastropods are nonmobile, tube-building snails that feed via an extensive mucus net. Vermetids reduce coral growth by up to 80%, and coral survival by as much as 60%. Because effects vary among coral taxa, vermetids may substantially alter the structure of coral communities as well as the community of fishes and invertebrates that inhabit the coral reef.
The investigators will conduct a suite of experimental and observational studies that: 1) quantify the effects of four species of vermetids across coral species to assess if species effects and responses are concordant or idiosyncratic; 2) use meta-analysis to compare effects of vermetids relative to other coral stressors and determine the factors that influence variation in coral responses; 3) determine the role of coral commensals that inhabit the branching coral, Pocillopora, and evaluate how the development of the commensal assemblage modifies the deleterious effects of vermetids; 4) determine how vermetid mucus nets affect the local environment of corals and evaluate several hypotheses about proposed mechanisms; and 5) assess the long-term implications of vermetids on coral communities and the fishes and invertebrates that depend on the coral.
Note: The Principal Investigator, Dr. Craig W. Osenberg, was at the University of Florida at the time the NSF award was granted. Dr. Osenberg moved to the University of Georgia during the summer of 2014 (current contact information).
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |