Contributors | Affiliation | Role |
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Levin, Lisa A. | University of California-San Diego (UCSD-SIO) | Principal Investigator, Contact |
Rouse, Gregory | University of California-San Diego (UCSD-SIO) | Co-Principal Investigator |
Pereira, Olívia Soares | University of California-San Diego (UCSD-SIO) | Student |
Soenen, Karen | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Matrix of taxon (columns) by sample (rows) for substrates collected during AT 37-13. Samples were collected with HOV Alvin.
In situ carbonate rocks were taken at sites with different seepage activity in 2017 (AT37-13) and 2018 (AT42-03) using HOV Alvin. These were used as control samples for two experiments: (1) Carbonate rocks, woods, and bones deployed for 7.4 years were collected across seepage gradients at Mound 12 using HOV Alvin (Colonization 7.4 years), and (2) Carbonate rocks were moved by the HOV to different seepage conditions with exposure for 17 months (Transplant 17 months).
All substrates were photographed intact upon recovery, and wrapped in aluminum foil to determine the surface area. Before preserving, the sample was kept cold and animals were picked to sample tissue for isotope analysis (see files “AT37-13 and AT42-03 Hard substrate isotopes” for isotopic data).
The remaining sample was sieved through 0.3 mm mesh, separating the sample in two fractions (a fine fraction with the meiofauna, and a coarser one with the macrofauna), both preserved in 96% Ethanol. In the laboratory, the samples were washed in distilled water and sorted, and the animals were identified to the lowest level possible, counted and preserved in 96% Ethanol.
Substrates were sorted and the fauna was identified to the lowest taxonomic level possible. Annelida and Mollusca, the most abundant groups, were identified at the family level. Crustacea was identified at the order or infraorder level, Cnidaria was identified at the order level, and Echinodermata was identified at the class level. The least abundant groups, Nemertea, Platyhelminthes and Pycnogonida, were identified to phylum.
Note: Not all samples were used for density analyses, thus some do not have surface area values.
BCO-DMO Processing:
File |
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hard_substrate_comm.csv (Comma Separated Values (.csv), 18.84 KB) MD5:4d276902ef093659ea85c929de27a921 Primary data file for dataset ID 747699 |
Parameter | Description | Units |
Cruise_ID | Cruise ID: AT37-13 or AT42-03 | unitless |
Site | Site name | unitless |
Alvin_Dive | Number of the Alivn dive from which the sample was collected | unitless |
Latitude | Latitude of sampling location | decimal degrees |
Longitude | Longitude of sampling location | decimal degrees |
Substrate | Alvin dive and substrate of sample | unitless |
Habitat | Habitat description | unitless |
Experiment | Experiment type | unitless |
Surface_Area | Surface area | unitless |
Oligochaeta | Number of individuals identified from taxon | unitless |
Siboglinidae | Number of individuals identified from taxon | unitless |
Serpulidae | Number of individuals identified from taxon | unitless |
Polynoidae | Number of individuals identified from taxon | unitless |
Hesionidae | Number of individuals identified from taxon | unitless |
Amphinomidae | Number of individuals identified from taxon | unitless |
Ampharetidae | Number of individuals identified from taxon | unitless |
Sabellidae | Number of individuals identified from taxon | unitless |
Dorvilleidae | Number of individuals identified from taxon | unitless |
Lumbrineridae | Number of individuals identified from taxon | unitless |
Phyllodocidae | Number of individuals identified from taxon | unitless |
Chrysopetallidae | Number of individuals identified from taxon | unitless |
Cirratulidae | Number of individuals identified from taxon | unitless |
Trichobranchidae | Number of individuals identified from taxon | unitless |
Paraonidae | Number of individuals identified from taxon | unitless |
Lacydoniidae | Number of individuals identified from taxon | unitless |
Maldanidae | Number of individuals identified from taxon | unitless |
Magelonidae | Number of individuals identified from taxon | unitless |
Flabelligeridae | Number of individuals identified from taxon | unitless |
Syllidae | Number of individuals identified from taxon | unitless |
Spionidae | Number of individuals identified from taxon | unitless |
Cossuridae | Number of individuals identified from taxon | unitless |
Pisionidae | Number of individuals identified from taxon | unitless |
Nereididae | Number of individuals identified from taxon | unitless |
Capitellidae | Number of individuals identified from taxon | unitless |
Orbiniidae | Number of individuals identified from taxon | unitless |
Pilargiidae | Number of individuals identified from taxon | unitless |
Terebellidae | Number of individuals identified from taxon | unitless |
Onuphidae | Number of individuals identified from taxon | unitless |
Eunicidae | Number of individuals identified from taxon | unitless |
Chaetopteridae | Number of individuals identified from taxon | unitless |
Sigalionidae | Number of individuals identified from taxon | unitless |
Opheliidae | Number of individuals identified from taxon | unitless |
Arenicolidae | Number of individuals identified from taxon | unitless |
Goniadidae | Number of individuals identified from taxon | unitless |
Nephtyidae | Number of individuals identified from taxon | unitless |
Actiniaria | Number of individuals identified from taxon | unitless |
Hydroidolina | Number of individuals identified from taxon | unitless |
Alcyonacea | Number of individuals identified from taxon | unitless |
Trombidiformes | Number of individuals identified from taxon | unitless |
Amphipoda | Number of individuals identified from taxon | unitless |
Anomura | Number of individuals identified from taxon | unitless |
Brachyura | Number of individuals identified from taxon | unitless |
Cumacea | Number of individuals identified from taxon | unitless |
Isopoda | Number of individuals identified from taxon | unitless |
Tanaidacea | Number of individuals identified from taxon | unitless |
Ostracoda | Number of individuals identified from taxon | unitless |
Caridea | Number of individuals identified from taxon | unitless |
Sessilia | Number of individuals identified from taxon | unitless |
Mysidacea | Number of individuals identified from taxon | unitless |
Asteroidea | Number of individuals identified from taxon | unitless |
Ophiuroidea | Number of individuals identified from taxon | unitless |
Holothuroidea | Number of individuals identified from taxon | unitless |
Aplacophora | Number of individuals identified from taxon | unitless |
Nuculanidae | Number of individuals identified from taxon | unitless |
Juvenile | Number of individuals identified from taxon | unitless |
Xylophagaidae | Number of individuals identified from taxon | unitless |
Cuspidariidae | Number of individuals identified from taxon | unitless |
Mytilidae | Number of individuals identified from taxon | unitless |
Teredinidae | Number of individuals identified from taxon | unitless |
Vesicomyidae | Number of individuals identified from taxon | unitless |
Solemyidae | Number of individuals identified from taxon | unitless |
Pyramidellidae | Number of individuals identified from taxon | unitless |
Eucyclidae | Number of individuals identified from taxon | unitless |
Seguenziidae | Number of individuals identified from taxon | unitless |
Skeneidae | Number of individuals identified from taxon | unitless |
Cataegidae | Number of individuals identified from taxon | unitless |
Hyalogyniridae | Number of individuals identified from taxon | unitless |
Provannidae | Number of individuals identified from taxon | unitless |
Lepetodrilidae | Number of individuals identified from taxon | unitless |
Cocculinidae | Number of individuals identified from taxon | unitless |
Neolepetopsidae | Number of individuals identified from taxon | unitless |
Pyropeltidae | Number of individuals identified from taxon | unitless |
Polyplacophora | Number of individuals identified from taxon | unitless |
Nemertea | Number of individuals identified from taxon | unitless |
Platyhelminthes | Number of individuals identified from taxon | unitless |
Pycnogonida | Number of individuals identified from taxon | unitless |
Website | |
Platform | R/V Atlantis |
Start Date | 2017-05-20 |
End Date | 2017-06-11 |
Description | More cruise information is available from Rolling Deck to Repository (R2R):
* https://www.rvdata.us/search/cruise/AT37-13
* https://doi.org/10.7284/907684 |
Website | |
Platform | Alvin |
Start Date | 2017-05-21 |
End Date | 2017-06-08 |
Description | Collections of seep organisms in sediments and on rocks. |
Website | |
Platform | R/V Atlantis |
Start Date | 2018-10-17 |
End Date | 2018-11-06 |
Description | More cruise information is available from Rolling Deck to Repository (R2R):
* https://www.rvdata.us/search/cruise/AT42-03
* https://doi.org/10.7284/908473 |
Website | |
Platform | Alvin |
Start Date | 2018-10-17 |
End Date | 2018-11-04 |
NSF abstract:
If life were to disappear from the deep sea, would we notice? We only have a cursory understanding of this vast region and the connectivity among its communities and the rest of the oceans, and yet the ecosystems of the deep sea have been implicated in the larger function of the global marine ecosystems. We now rely on the deep ocean for food, energy, novel drugs and materials, and for its role in the global cycling of carbon, as well as for supporting services such as habitat creation, nutrient replenishment for shallow waters, and the maintenance of biodiversity. Cold seeps, active areas of the seafloor where methane and other chemicals are released, are key features along the continental margins worldwide. To characterize how methane seep communities interact with the surrounding ecosystems and vice versa, we will study methane seeps off the Pacific coast of Costa Rica in 2017 and 2018. It is the sphere of influence around the seep, both along the seafloor and up into the water column, that we seek to better understand. We will map the structure and the chemistry surrounding these habitats using a novel 3-dimensional framework, combining typical transects with vertical characterizations of the water column just above the seafloor. This will include measurements of methane flux into the water column and changes in the overlying carbonate chemistry and oxygen levels that are critical to our understanding of the effect of warming, oxygen loss and ocean acidification in this region. Within this framework, we will collect seep organisms in sediments and on rocks (including all sizes from microbes to large animals), and transplant some of these from within the area of seep influence to the background deep sea, and vice-versa. Together, these studies will help us to measure the size of the seep sphere of influence, and also demonstrate the role of these seeps within the deep sea and the greater, global, marine ecosystem. We will share this information with a group of teachers during a series of workshops in the San Diego area, at an exhibit at the Birch Aquarium, and through the work of an artist who has worked extensively with marine organisms in extreme environments.
Chemosynthetic ecosystems are inextricably linked to the broader world-ocean biome and global biogeochemical cycles in ways that we are just beginning to understand. This research will identify the form, extent, and nature of the physical, chemical, and biological linkages between methane seeps and the surrounding deep-sea ecosystem. The proposed research builds critical understanding of the structural and functional processes that underpin the ecosystem services provided by chemosynthetic ecosystems. We target a critical continental margin, Costa Rica, where methane fates and dynamics loom large and play out in an setting that reflects many oceanographic stressors. We will use quantitative sampling and manipulative studies within a 3-dimensional oceanographic framework. We will ask what are the shapes of the diversity and density functions for organisms of different size classes and trophic position over the transition from the seep habitat through the ecotone to the background deep sea? Further, we will ask how do depth, dissolved oxygen concentrations, pH and carbonate ion availability, relative rates of fluid flux, and substrate (biogenic, authigenic carbonate, sediments) alter these linkages and interactions with the surrounding deep sea? Evidence for distinct transitional communities and biotic patterns in density and alpha and beta diversity will be quantified and placed in a global biogeographic context. All of these investigations will occur across biological size spectra: for microorganisms (archaea, bacteria, microeukaryotes), the macrofauna, and the megafauna that form biogenic habitats. Our research results will be interpreted in the context of potential effects of global ocean change in the equatorial Pacific to determine how the linkages with the surrounding deep sea will be altered as anthropogenic impacts proceed in the future.
Related publications:
Levin, L.A., V.J. Orphan, G.W. Rouse, W. Ussler, A. E. Rathburn, G. S. Cook, S. Goffredi, E. Perez, A. Waren, B. Grupe, G. Chadwick, B. Strickrott. (2012). A hydrothermal seep on the Costa Rica margin: Middle ground in a continuum of reducing ecosystems. Proc. Royal Soc. B. 279: 2580-88 doi: 10.1098/rspb.2012.0205
Sahling, H., Masson, D. G., Ranero, C. R., Hühnerbach, V., Weinrebe, W., Klaucke, I., & Suess, E. (2008). Fluid seepage at the continental margin offshore Costa Rica and southern Nicaragua. Geochemistry, Geophysics, Geosystems 9: doi: 10.1029/2008GC001978
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |