| Contributors | Affiliation | Role |
|---|---|---|
| Letelier, Ricardo | Oregon State University (OSU-CEOAS) | Principal Investigator |
| White, Angelicque E. | Oregon State University (OSU) | Principal Investigator, Contact |
| Nahorniak, Jasmine | Oregon State University (OSU-CEOAS) | Data Manager |
| Gegg, Stephen R. | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
C-MORE Discrete PCPN
Discrete samples of PC/PN
See Platform Deployments for cruise specific documentation
See Platform Deployments for cruise specific documentation
| Parameter | Description | Units |
| sta | station number | dimensionless |
| cast | cast number | dimensionless |
| date | date (GMT) | YYYYMMDD |
| lat | latitude | decimal degrees (South is negative) |
| lon | longitude | decimal degrees (West is negative) |
| depth | depth | meters |
| bot | rosette bottle number | dimensionless |
| TPN | total particulate nitrogen concentration | micromoles per liter |
| TPC | total particulate carbon concentration | micromoles per liter |
| C_to_N | carbon to nitrogen ratio | dimensionless |
| activity_and_comments | comments | dimensionless |
| Website | |
| Platform | R/V Kilo Moana |
| Report | |
| Start Date | 2007-08-09 |
| End Date | 2007-08-21 |
| Description | C-MORE BLOOMER (BLOOM Ecological Reconnaissance) C-MORE 2 cruise
C-MORE August 2007 cruise objectives and logistics
downloaded from C-MORE site 'Cruise objectives' document, 14 September 2009
GENERAL CRUISE OBJECTIVES
The primary goal this year will be the characterization of the microbial assemblage and biogeochemical fluxes associated to summer increases in cyanobacterial biomass in the vicinity of Station ALOHA. This characterization will be compared to a sampling site where no biomass increase is detected. In addition, we will try to establish transects across a bloom region, or try to sample distinct areas where blooms are detected from remote sensing and SeaGliders, to assess the spatial heterogeneity of these blooms.
GENERAL CRUISE PLAN:
August 8th: Loading day
August 9th, 8:00 Departure from Snug.
1st scenario: If a boom is remotely detected within 100km of Station ALOHA
August 9th to August 10th at 5AM: Transit to the bloom station
August 10th to August 13th in the morning: Sample and carry experiments within the bloom (considers the deployment of sediment traps for at least 72 hours on August 10th and carrying on deck incubation time series for 5 days [August 15th])
August 13th noon to August 14th evening: Series of stations to characterize the spatial heterogeneity of the bloom.
August 14th evening to August 15th 5AM: Transit toward Station ALOHA or a site within 100km of this site not displaying high accumulation of chlorophyll in surface waters.
August 15th to August 18th in the morning: Sample and carry experiments outside the bloom.
August 19th is left as a buffer and could be used to revisit the sampling site.
August 20th early morning - noon: start transit back to Honolulu.
2nd scenario: If blooms are not detected in the vicinity of Station ALOHA:
August 9th to August 10th at 5AM: Transit to 24N, 158W where increase sea surface chlorophyll concentration was observed on July 18 to 28. This location could change once we have developed the full MODIS chlorophyll statistics for the month of July for the study region.
We will use these statistics to assess the station that has had the largest change in chlorophyll concentration as well as the station that has not seen significant chlorophyll fluctuation within 100 to 200km radius north of Station ALOHA. These will represent our primary sampling sites, replacing the bloom and non bloom sites in the 1st scenario. As in the first scenario, we will devote August 13th and August 14th to assess the spatial heterogeneity of the sampling region. 3rd scenario: A bloom develops during the cruise. We will modify the cruise plan accordingly in order to characterize the bloom evolution.
C-MORE 2 BLOOMER Cruise Reports
Cruise reports available from the C-MORE ftp site:
ftp://ftp.soest.hawaii.edu/dkarl/cmore/Cruise_Reports/bloomer1/
each investigator contributed a separate report.
Related information sources from the C-MORE Web Site:
Homepage: http://cmore.soest.hawaii.edu/cruises/cmore_2/index.htm
Data: http://hahana.soest.hawaii.edu/cmorebloomer/cmorebloomer.html
Cruise track: http://hahana.soest.hawaii.edu/cmorebloomer/cm2LocMap.gif
Cruise objectives: http://hahana.soest.hawaii.edu/cmorebloomer/cmore_2_objectives_logistics...
Cruise event sheet: http://hahana.soest.hawaii.edu/cmorebloomer/cmore_2_final_master_event_s...
Cruise information and original data are available from the NSF R2R data catalog. Methods & Sampling (tbd) Processing Description # Discrete samples of PC/PN # CMORE/BLOOMER # Ocean Microbial Ecology Laboratory # Ricardo Letelier # 2009 # original file: White_KM0715_Summary.xls # date ingested into BCO-DMO: September 24, 2009 # date updated: December 7, 2011 (format change only - data values unchanged) # |
| Website | |
| Platform | R/V Melville |
| Report | |
| Start Date | 2010-11-18 |
| End Date | 2010-12-14 |
| Description | The South East Pacific (SEP) is characterized by very high nutrient concentrations in the waters adjacent to the Chilean coast, but very low nutrient concentrations (oligotrophic) in the mid- South Pacific Subtropical Gyre (SPSG), near Easter Island. The steep gradient in nutrient concentrations across the region affects the level of marine production, the composition of the microbial community, and the operation of major biogeochemical cycles in ways that are not fully understood. Despite the remarkable diversity of trophic conditions, strong gradients and even some unique singularities, the SEP is still the most sparsely sampled oceanic region of the global ocean from hydrodynamic, biological and biogeochemical points of view. The SPSG is also the most oligotrophic of all sub-tropical gyres.
Previous expeditions and remote sensing studies have describes the nutrient and chlorophyll field, but there have been few simultaneous measurements of chemical properties with microbial community structure and function.
This expedition is designed to investigate the impact of elemental nutrient (nitrogen, phosphorus, iron, silicon, carbon) ratios on marine productivity and microbial community composition. We propose to sample along a line extending from the Chilean coast near Arica to Easter Island. We will occupy three major "process" stations for up to five days each; a high productivity, near shore station, a mid-cruise station in the nutrient transition zone, and a low productivity, mid-gyre station near Easter Island. In between these stations, we will briefly sample at additional "survey" stations at lower intensity along the cruise track.
Cruise information and original data are available from the NSF R2R data catalog.
BiG RAPA Home project Web site with additional information Methods & Sampling PCPN Analysis: Samples for PC (particulate carbon) and PN (particulate nitrogen) are collected on a combusted 25mm glass fiber filter (GF/F) and stored in a -80 freezer until analysis. Samples are further analyzed using a Carlo Erba NA 1500 Elemental Analyzer. Processing Description # Discrete samples of PCPN # Ocean Microbial Ecology Laboratory # Ricardo Letelier # 2010 # original file: BIGRAPA_ELEMENTS_Post.xlsx # date ingested into BCO-DMO: January 9, 2012 # |
The Center for Microbial Oceanography: Research and Education (C-MORE) is a recently established (August 2006; NSF award: EF-0424599) NSF-sponsored Science and Technology Center designed to facilitate a more comprehensive understanding of the diverse assemblages of microorganisms in the sea, ranging from the genetic basis of marine microbial biogeochemistry including the metabolic regulation and environmental controls of gene expression, to the processes that underpin the fluxes of carbon, related bioelements and energy in the marine environment. Stated holistically, C-MORE's primary mission is: Linking Genomes to Biomes.
We believe that the time is right to address several major, long-standing questions in microbial oceanography. Recent advances in the application of molecular techniques have provided an unprecedented view of the structure, diversity and possible function of sea microbes. By combining these and other novel approaches with more well-established techniques in microbiology, oceanography and ecology, it may be possible to develop a meaningful predictive understanding of the ocean with respect to energy transduction, carbon sequestration, bioelement cycling and the probable response of marine ecosystems to global environmental variability and climate change. The strength of C-MORE resides in the synergy created by bringing together experts who traditionally have not worked together and this, in turn, will facilitate the creation and dissemination of new knowledge on the role of marine microbes in global habitability.
The new Center will design and conduct novel research, broker partnerships, increase diversity of human resources, implement education and outreach programs, and utilize comprehensive information about microbial life in the sea. The Center will bring together teams of scientists, educators and community members who otherwise do not have an opportunity to communicate, collaborate or design creative solutions to long-term ecosystem scale problems. The Center's research will be organized around four interconnected themes:
Each theme will have a leader to help coordinate the research programs and to facilitate interactions among the other related themes. The education programs will focus on pre-college curriculum enhancements, in service teacher training and formal undergraduate/graduate and post-doctoral programs to prepare the next generation of microbial oceanographers. The Center will establish and maintain creative outreach programs to help diffuse the new knowledge gained into society at large including policymakers. The Center's activities will be dispersed among five partner institutions:
and will be coordinated at the University of Hawaii at Manoa.
| Funding Source | Award |
|---|---|
| NSF Division of Biological Infrastructure (NSF DBI) |
