Matrix of taxon by sample for hard substrates collected by HOV Alvin during R/V Atlantis cruise AT37-13 and AT42-03 in the Pacific margin of Costa Rica in 2017 and 2018.

Website: https://www.bco-dmo.org/dataset/747699
Data Type: Cruise Results
Version: 2
Version Date: 2021-03-16

Project
» Collaborative research: Quantifying the biological, chemical, and physical linkages between chemosynthetic communities and the surrounding deep sea (Costa Rica Seeps)
ContributorsAffiliationRole
Levin, Lisa A.University of California-San Diego (UCSD-SIO)Principal Investigator, Contact
Rouse, GregoryUniversity of California-San Diego (UCSD-SIO)Co-Principal Investigator
Pereira, Olívia SoaresUniversity of California-San Diego (UCSD-SIO)Student
Soenen, KarenWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
Matrix of taxon by sample for hard substrates collected by HOV Alvin during R/V Atlantis cruise AT37-13 and AT42-03 in the Pacific margin of Costa Rica in 2017 and 2018.


Coverage

Spatial Extent: N:9.1306 E:-84.2132 S:8.30702 W:-84.84155
Temporal Extent: 2017-05-21 - 2018-11-05

Dataset Description

Matrix of taxon (columns) by sample (rows) for substrates collected during AT 37-13. Samples were collected with HOV Alvin.


Methods & Sampling


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.


Data Processing Description

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: 

  • Modified parameter names to comply with database requirements
  • Added sampling latitude and longitude
  • Changed , to ; to comply with database requirements

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Data Files

File
hard_substrate_comm.csv
(Comma Separated Values (.csv), 18.84 KB)
MD5:4d276902ef093659ea85c929de27a921
Primary data file for dataset ID 747699

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Related Datasets

References
Levin, L. A., Rouse, G. (2017) Preliminary log of samples collected during Alvin dives from R/V Atlantis cruise AT37-13 in the Costa Rica margin. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 12 Sept 2017) Version Date 2017-09-12 http://lod.bco-dmo.org/id/dataset/714584 [view at BCO-DMO]
Relationship Description: Sampling locations
Levin, L. A., Rouse, G. (2021) Sampling locations of hard substrates and push cores collected during R/V Atlantis cruise AT37-13 and AT42-03 in the Pacific Ocean off Costa Rica in 2017 and 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-02-19 doi:10.26008/1912/bco-dmo.840955.1 [view at BCO-DMO]
Relationship Description: Sampling locations
Levin, L. A., Rouse, G., Pereira, O. S. (2021) Averages and standard deviation across species for all macrofauna found on each carbonate rock collected during R/V Atlantis cruise AT37-13 in the Pacific margin of Costa Rica from May to June 2017. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 2) Version Date 2021-02-17 doi:10.26008/1912/bco-dmo.747575.2 [view at BCO-DMO]
Relationship Description: Isotopic dataset related to sampled hard substrates
Orphan, V. J., Cordes, E. E. (2017) Carbonate chemistry sample inventory from R/V Atlantis AT37-13 at methane seeps in the Pacific Ocean off Costa Rica from May to June 2017 (Costa Rica Seeps project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). Version Date 2017-09-25 http://lod.bco-dmo.org/id/dataset/715893 [view at BCO-DMO]
Relationship Description: Sampling locations

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Parameters

ParameterDescriptionUnits
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

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Deployments

AT37-13

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/AT37-13https://doi.org/10.7284/907684

AT37-13_Alvin_Dives

Website
Platform
Alvin
Start Date
2017-05-21
End Date
2017-06-08
Description
Collections of seep organisms in sediments and on rocks.

AT42-03

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

AT42-03_Alvin_Dives

Website
Platform
Alvin
Start Date
2018-10-17
End Date
2018-11-04


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Project Information

Collaborative research: Quantifying the biological, chemical, and physical linkages between chemosynthetic communities and the surrounding deep sea (Costa Rica Seeps)

Coverage: Costa Rica Pacific Margin


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



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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