| Contributors | Affiliation | Role |
|---|---|---|
| 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, larval growth and metamorposis was tested using different food levels.
Larvae hatched on October 10, 2009 and ~50 were distributed into each tubs on 500mL filtered sea water (FSW). Because the greatest metamorphic success was in the Isochrysis galbana treatment during experiment 1, only that species was used in experiment 2. Three food densities were created high food (4 x 104 cells mL-1 ), low food (4 x 103 cells mL-1 ) plus an Unfed treatment in which larvae were raised in FSW.
Larvae were placed in settlement challenges at 6- and 8-day post-hatch. Procedures were as in the first experiment, except that on each day 15 larvae from each replicate container within each food treatment were pooled, then redistributed into three replicate containers with coral rubble in 200 mL FSW (total N = 45 larvae from each food treatment). Also, mortality was so high in the 6-day challenge that the challenge was terminated after 2 days rather than 3
BCO-DMO Processing:
| File |
|---|
Phillips_2011_Expt2_SettlementChallenge8.csv (Comma Separated Values (.csv), 1.16 KB) MD5:014fcc8e0c0f50bb20147cbb70973dbb Primary data file for dataset ID 726002 |
| Parameter | Description | Units |
| Larval_food_treatment | type of food given to larvae (Isochrysis galbana = Iso; Dunaliella tertiolecta = Dun; 1:1 ratio of Iso and Dun = Mixed) | unitless |
| Replicate_settlement_container | replicate tub | unitless |
| initial_number_larvae | initial number of larvae | unitless |
| day_1_number_live_larvae_with_velum_1 | number of live larvae with velum day 1 after start of challenge | unitless |
| day_1_number_dead | number of dead larvae on day 1 after start of challenge | unitless |
| day_1_number_missing_1 | number of larvae missing on day 1 after start of challenge | unitless |
| day_1_number_larvae_without_velum_1 | number of larvae without velum on day 1 after start of challenge | unitless |
| day_1_number_metamorphosed | number of larve that metamorphosized on day 1 after start of challenge | unitless |
| day_1_number_live_larvae_with_velum_2 | UNKNOWN | unitless |
| day_1_number_dead_2 | UNKNOWN | unitless |
| day_1_number_missing_2 | UNKNOWN | unitless |
| day_1_number_larvae_without_velum_2 | UNKNOWN | unitless |
| day_1_number_metamorphosed_2 | UNKNOWN | unitless |
| day_2_number_live_larvae_with_velum | number of live larvae with velum day 2 after start of challenge | unitless |
| day_2_number_dead | number of dead larvae on day 2 after start of challenge | unitless |
| day_2_number_missing | number of larvae missing on day 2 after start of challenge | unitless |
| day_2_number_larvae_without_velum | number of larvae without velum on day 2 after start of challenge | unitless |
| day_2_number_metamorphosed | number of larve that metamorphosized on day 2 after start of challenge | unitless |
| end_number_live_larvae_left_with_velum | number of live larvae end of challenge (all of the data for the two days are added together) | unitless |
| end_number_dead | number of dead larvae end of challenge (all of the data for the two days are added together) | unitless |
| end_number_missing | number of larvae missing end of challenge (all of the data for the two days are added together) | unitless |
| end_number_larvae_left_without_velum | number of larvae without velum end of challenge (all of the data for the two days are added together) | unitless |
| end_number_metamorphosed | number of larve that metamorphosized end of challenge (all of the data for the two days are added together) | unitless |
| end_percent_without_velum_plus_metamorphosed | Percent of larvae without velum and that metamorphosized at end of experiment (all of the data for the two days are added together) | 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 |
|---|---|
| NSF Division of Ocean Sciences (NSF OCE) |