Contributors | Affiliation | Role |
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Dorgan, Kelly | Dauphin Island Sea Lab (DISL) | Principal Investigator |
Clemo, William Cyrus | University of South Alabama (USA) | Student |
Rauch, Shannon | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Sediment coring was carried out from the R/V E.O. Wilson, operated by Dauphin Island Sea Lab. Sediment cores (9.6-centimeters (cm) inner diameter) were collected with an Ocean Instruments MC-400 multicorer or via SCUBA diving at each site and timepoint. Four replicate cores were sieved (500 micrometers (μm) mesh) and retained contents were preserved in 95% ethanol with Rose Bengal tissue stain (0.05 grams per liter (g L-1)). Stained infauna were identified to family level and enumerated. Taxa that could not be reliably identified to family level were grouped into higher levels of classification (e.g., Nemertea). Infauna were also divided into size classes of body thicknesses of <1 millimeter (mm) and >1 mm. Body length and biomass could not be determined for a large number of specimens, especially annelids (the most abundant phylum), due to fragmentation during collection and preservation (only annelids with intact heads were counted). Body width was measured under a dissecting microscope with a ruler. Grain size was measured in the top 8-12 cm of sediment. 1-2 cores were sectioned into 1 cm increments and dried at 65 degrees Celsius (°C) for 48 hours. Dried samples were placed in a muffle furnace at 550 °C for 4 hours to combust sediment organic matter. Porosity and organic content were calculated from the sediment mass differences before and after drying and combusting, respectively. Combusted sediment was then placed in a 1% sodium hexametaphosphate solution for at least 3 weeks to deflocculate. After weeks of deflocculating, clumps of mud often remained intact in muddier samples, so all samples were gently rubbed with a gloved finger on a 63 μm sieve to break up mud clumps. The mud was then washed through the sieve and combined with the sand retained on the sieve. After breaking up clumps, we measured grain size distribution using a Malvern Mastersizer 3000. For each sample, 5 measurements were averaged and then analyzed using Gradistat (Kenneth Pye Associates, LTD.). Bottom water salinity and temperature (°C) were measured at each site and timepoint using a Seabird SBE 25 Sealogger CTD (conductivity, temperature, depth) instrument array. The CTD was deployed on a line by a winch that lowered the CTD to the bottom and then brought it back to the surface at each site.
For each sediment sample, 5 Malvern Mastersizer measurements were averaged and then analyzed using Gradistat v9.1 (Kenneth Pye Associates, LTD.). For each core or pair of cores from each site and time point, we then averaged sediment property values in the top 5 cm, or within distinct surface layers (e.g., sand sharply transitioning to mud) if the layers were less than 5 cm.
- Imported original file "ClemoHurricaneSallyInfaunaSediment2020to2021.csv" into the BCO-DMO system.
- Converted date field to YYYY-MM-DD format.
- Rounded the infaunal taxa abundance columns to whole numbers (integers).
- Renamed fields to comply with BCO-DMO naming conventions.
- Corrected taxa names where needed to align with WoRMS-accepted names.
- Saved the final file as "934897_v1_infauna_and_sediment_data_hurricane_sally_2020_to_2021.csv".
File |
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934897_v1_infauna_and_sediment_data_hurricane_sally_2020_to_2021.csv (Comma Separated Values (.csv), 72.55 KB) MD5:26573cf4c957ed4cd12c9c46778748b8 Primary data file for dataset ID 934897, version 1 |
Parameter | Description | Units |
Site | Site name, includes transect (W: West, M: Middle, E: East) and depth (05: 5m, 12: 12m, 20: 20m) at which samples were collected | unitless |
Latitude | site latitude | decimal degrees (N) |
Longitude | site longitude | decimal degrees (E) |
WaterDepth_m | site depth | meters (m) |
Date | sampling date | unitless |
TimeAfterSally_d | days after Hurricane Sally landfall | days |
Rep | replicate | unitless |
Actiniaria | infaunal taxa abundance | indivduals per core |
Nemertea | infaunal taxa abundance | indivduals per core |
Platyhelminthes | infaunal taxa abundance | indivduals per core |
Aspidosiphonidae | infaunal taxa abundance | indivduals per core |
Golfingiidae | infaunal taxa abundance | indivduals per core |
Thalassematidae | infaunal taxa abundance | indivduals per core |
Ampharetidae | infaunal taxa abundance | indivduals per core |
Acoetidae | infaunal taxa abundance | indivduals per core |
Amphinomidae | infaunal taxa abundance | indivduals per core |
Capitellidae | infaunal taxa abundance | indivduals per core |
Cirratulidae | infaunal taxa abundance | indivduals per core |
Cossuridae | infaunal taxa abundance | indivduals per core |
Eulepethidae | infaunal taxa abundance | indivduals per core |
Eunicidae | infaunal taxa abundance | indivduals per core |
Flabelligeridae | infaunal taxa abundance | indivduals per core |
Glyceridae | infaunal taxa abundance | indivduals per core |
Goniadidae | infaunal taxa abundance | indivduals per core |
Hesionidae | infaunal taxa abundance | indivduals per core |
Lumbrineridae | infaunal taxa abundance | indivduals per core |
Magelonidae | infaunal taxa abundance | indivduals per core |
Maldanidae | infaunal taxa abundance | indivduals per core |
Nephtyidae | infaunal taxa abundance | indivduals per core |
Nereididae | infaunal taxa abundance | indivduals per core |
Oenonidae | infaunal taxa abundance | indivduals per core |
Onuphidae | infaunal taxa abundance | indivduals per core |
Opheliidae | infaunal taxa abundance | indivduals per core |
Orbiniidae | infaunal taxa abundance | indivduals per core |
Oweniidae | infaunal taxa abundance | indivduals per core |
Paraonidae | infaunal taxa abundance | indivduals per core |
Pectinariidae | infaunal taxa abundance | indivduals per core |
Phyllodocidae | infaunal taxa abundance | indivduals per core |
Pilargidae | infaunal taxa abundance | indivduals per core |
Polynoidae | infaunal taxa abundance | indivduals per core |
Spionidae | infaunal taxa abundance | indivduals per core |
Serpulidae | infaunal taxa abundance | indivduals per core |
Sigalionidae | infaunal taxa abundance | indivduals per core |
Sternaspidae | infaunal taxa abundance | indivduals per core |
Syllidae | infaunal taxa abundance | indivduals per core |
Terebellidae | infaunal taxa abundance | indivduals per core |
Annelida | infaunal taxa abundance | indivduals per core |
Phoronida | infaunal taxa abundance | indivduals per core |
Lingulida | infaunal taxa abundance | indivduals per core |
Caecidae | infaunal taxa abundance | indivduals per core |
Calyptraeidae | infaunal taxa abundance | indivduals per core |
Cancellariidae | infaunal taxa abundance | indivduals per core |
Columbellidae | infaunal taxa abundance | indivduals per core |
Cylichnidae | infaunal taxa abundance | indivduals per core |
Epitoniidae | infaunal taxa abundance | indivduals per core |
Eulimidae | infaunal taxa abundance | indivduals per core |
Haminoeidae | infaunal taxa abundance | indivduals per core |
Nassariidae | infaunal taxa abundance | indivduals per core |
Naticidae | infaunal taxa abundance | indivduals per core |
Olividae | infaunal taxa abundance | indivduals per core |
Olivellidae | infaunal taxa abundance | indivduals per core |
Pyramidellidae | infaunal taxa abundance | indivduals per core |
Terebridae | infaunal taxa abundance | indivduals per core |
Tornidae | infaunal taxa abundance | indivduals per core |
Turridae | infaunal taxa abundance | indivduals per core |
Muricidae | infaunal taxa abundance | indivduals per core |
Gastropoda | infaunal taxa abundance | indivduals per core |
Arcidae | infaunal taxa abundance | indivduals per core |
Corbulidae | infaunal taxa abundance | indivduals per core |
Lasaeidae | infaunal taxa abundance | indivduals per core |
Lucinidae | infaunal taxa abundance | indivduals per core |
Lyonsiidae | infaunal taxa abundance | indivduals per core |
Mactridae | infaunal taxa abundance | indivduals per core |
Nuculidae | infaunal taxa abundance | indivduals per core |
Nuculanidae | infaunal taxa abundance | indivduals per core |
Pandoridae | infaunal taxa abundance | indivduals per core |
Solenidae | infaunal taxa abundance | indivduals per core |
Tellinidae | infaunal taxa abundance | indivduals per core |
Ungulinidae | infaunal taxa abundance | indivduals per core |
Veneridae | infaunal taxa abundance | indivduals per core |
Verticordiidae | infaunal taxa abundance | indivduals per core |
Bivalvia | infaunal taxa abundance | indivduals per core |
Scaphopoda | infaunal taxa abundance | indivduals per core |
Pantopoda | infaunal taxa abundance | indivduals per core |
Bodotriidae | infaunal taxa abundance | indivduals per core |
Diastylidae | infaunal taxa abundance | indivduals per core |
Leuconidae | infaunal taxa abundance | indivduals per core |
Nannastacidae | infaunal taxa abundance | indivduals per core |
Cumacea | infaunal taxa abundance | indivduals per core |
Ampeliscidae | infaunal taxa abundance | indivduals per core |
Argissidae | infaunal taxa abundance | indivduals per core |
Corophiidae | infaunal taxa abundance | indivduals per core |
Haustoriidae | infaunal taxa abundance | indivduals per core |
Ischyroceridae | infaunal taxa abundance | indivduals per core |
Liljeborgiidae | infaunal taxa abundance | indivduals per core |
Oedicerotidae | infaunal taxa abundance | indivduals per core |
Photidae | infaunal taxa abundance | indivduals per core |
Phoxocephalidae | infaunal taxa abundance | indivduals per core |
Platyischnopidae | infaunal taxa abundance | indivduals per core |
Stenothoidae | infaunal taxa abundance | indivduals per core |
Synopiidae | infaunal taxa abundance | indivduals per core |
Amphipoda | infaunal taxa abundance | indivduals per core |
Tanaidacea | infaunal taxa abundance | indivduals per core |
Albuneidae | infaunal taxa abundance | indivduals per core |
Anthuridae | infaunal taxa abundance | indivduals per core |
Ancinidae | infaunal taxa abundance | indivduals per core |
Idotea | infaunal taxa abundance | indivduals per core |
Isopoda | infaunal taxa abundance | indivduals per core |
Mysidae | infaunal taxa abundance | indivduals per core |
Aethridae | infaunal taxa abundance | indivduals per core |
Pinnotheridae | infaunal taxa abundance | indivduals per core |
Paguroidea | infaunal taxa abundance | indivduals per core |
Porcellanidae | infaunal taxa abundance | indivduals per core |
Portunidae | infaunal taxa abundance | indivduals per core |
Raninidae | infaunal taxa abundance | indivduals per core |
Callianassidae | infaunal taxa abundance | indivduals per core |
Upogebiidae | infaunal taxa abundance | indivduals per core |
Luciferidae | infaunal taxa abundance | indivduals per core |
Caridea | infaunal taxa abundance | indivduals per core |
Ophiuroidea | infaunal taxa abundance | indivduals per core |
Holothuroidea | infaunal taxa abundance | indivduals per core |
Clypeasteroida | infaunal taxa abundance | indivduals per core |
Echinoidea | infaunal taxa abundance | indivduals per core |
Enteropneusta | infaunal taxa abundance | indivduals per core |
Branchiostomidae | infaunal taxa abundance | indivduals per core |
Lophotrochozoa | infaunal taxa abundance | indivduals per core |
Abundance_core | total infaunal abundance | indivduals per core |
less_than_1mm | infauna less than 1mm wide | indivduals per core |
greater_than_1mm | infauna greater than 1mm wide | indivduals per core |
SalBot | site bottom water salinity | PSU |
TempCBot | site bottom water temperature | degrees Celsius |
DOmgperLBot | site bottom water dissolved oxygen | milligrams per liter (mg L-1) |
PorTop5cm | sediment porosity (top 5 cm average); reported as a unitless fraction | unitless |
OCTop5cm | sediment organic content (top 5 cm average); reported as a unitless fraction (e.g., 0.00707 OC = 0.707 % OC). | unitless |
MeanGSTop5cm_phi | mean grain size, phi scale (top 5 cm average) | unitless |
SortingTop5cm_phi | grain size sorting, phi scale (top 5 cm average) | unitless |
SkewnessTop5cm_phi | grain size skewness, phi scale (top 5 cm average) | unitless |
KurtosisTop5cm_phi | grain size kurtosis, phi scale (top 5 cm average) | unitless |
MudFracTop5cm | sample fraction consisting of mud-sized particles (top 5 cm average) | unitless |
Dataset-specific Instrument Name | Malvern Mastersizer 3000 |
Generic Instrument Name | Malvern Mastersizer 3000/3000E laser diffraction particle size analyzer |
Dataset-specific Description | Grain size analysis was done on a Malvern Mastersizer 3000 particle analyzer. |
Generic Instrument Description | The Malvern Mastersizer 3000/3000E is a laser diffraction particle size analyzer available for both dry and wet dispersions of particles from nanometer to millimeter ranges. A laser beam passes through a dispersed particulate sample and the angular variation in intensity of the scattered light is measured. The angular scattering intensity data is then analyzed to calculate the size of the particles that created the scattering pattern using the Mie theory of light scattering. The particle size is reported as a volume equivalent sphere diameter. The instrument has an accuracy of 0.6%, operation temperatures of 5degC to 40degC (non-condensing), size of 10 nm - 3.5 mm (3000) or 0.1 - 1000 um (3000E). |
Dataset-specific Instrument Name | dissecting microscope |
Generic Instrument Name | Microscope - Optical |
Generic Instrument Description | Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. Includes conventional and inverted instruments. Also called a "light microscope". |
Dataset-specific Instrument Name | Ocean Instruments MC-400 multicorer |
Generic Instrument Name | Ocean Instruments MC-400 Multi corer |
Dataset-specific Description | Used for core collection. |
Generic Instrument Description | The Ocean Instruments MC-400 {Hedrick/Marrs} multi-corer is a sediment multi-corer with a series of cores attached to one deployment frame. This model carries four sample tubes. It is designed to retrieve sediment and water samples in lakes and shelf waters. The sample tubes are sealed with a silicone rubber upper door gasket and a neoprene or carpet lower door seal. Each of the four sample tubes can be removed from the coring unit for immediate processing in the laboratory without exposing their contents to the surface environment. It is designed to recover undisturbed surface sediments and is therefore well-suited to study benthic processes. The multi-corer is disposed on a research vessel and is lowered into the water body by a cable. When the multi-corer touches the sediment the units ballast weight pushes the assembled cores into the substrate. Each of the tubes contains a unique sediment core. The multi-corer uses a unique hydrostatic damping system that slows the penetration rate down to approximately 1 cm/s. Provisions have been made to carry up to two 4-liter water bottles that actuate as the frame legs touch bottom. The overall sample tube length is 58 cm, with a maximum penetration of 34.5 cm. The tube diameter is 10 cm. |
Dataset-specific Instrument Name | ruler |
Generic Instrument Name | ruler |
Generic Instrument Description | A device used for measuring or for drawing straight lines, consisting of an elongated piece of rigid or semi-rigid material marked with units for measurement. Device that allows one or more physical dimensions of a sample or specimen to be determined by visible comparison against marked graduations in units of measurement of dimension length. |
Dataset-specific Instrument Name | Seabird SBE 25 Sealogger CTD |
Generic Instrument Name | Sea-Bird SBE 25 Sealogger CTD |
Generic Instrument Description | The Sea-Bird SBE 25 SEALOGGER CTD is battery powered and is typically used to record data in memory, eliminating the need for a large vessel, electrical sea cable, and on-board computer. All SBE 25s can also operate in real-time, transmitting data via an opto-isolated RS-232 serial port. Temperature and conductivity are measured by the SBE 3F Temperature sensor and SBE 4 Conductivity sensor (same as those used on the premium SBE 9plus CTD). The SBE 25 also includes the SBE 5P (plastic) or 5T (titanium) Submersible Pump and TC Duct. The pump-controlled, TC-ducted flow configuration significantly reduces salinity spiking caused by ship heave, and in calm waters allows slower descent rates for improved resolution of water column features. Pressure is measured by the modular SBE 29 Temperature Compensated Strain-Gauge Pressure sensor (available in eight depth ranges to suit the operating depth requirement). The SBE 25's modular design makes it easy to configure in the field for a wide range of auxiliary sensors, including optional dissolved oxygen (SBE 43), pH (SBE 18 or SBE 27), fluorescence, transmissivity, PAR, and optical backscatter sensors. More information from Sea-Bird Electronics: http:www.seabird.com. |
Dataset-specific Instrument Name | SCUBA diving |
Generic Instrument Name | Self-Contained Underwater Breathing Apparatus |
Generic Instrument Description | The self-contained underwater breathing apparatus or scuba diving system is the result of technological developments and innovations that began almost 300 years ago. Scuba diving is the most extensively used system for breathing underwater by recreational divers throughout the world and in various forms is also widely used to perform underwater work for military, scientific, and commercial purposes.
Reference: https://oceanexplorer.noaa.gov/technology/technical/technical.html |
NSF Award Abstract:
Marine sediments are important habitats for abundant and diverse communities of organisms that are important as food sources for higher trophic levels, including commercially important species. Through burrowing, constructing tubes, and feeding on sediments, these animals modify their physical and chemical environments to such an extent that they are considered ecosystem engineers. Bioturbation, the mixing of sediments by animals, is important in regenerating nutrients and transporting pollutants and carbon bound to mineral grains. Despite its importance, our ability to predict bioturbation rates and patterns from the community structure is poor, largely due to a lack of understanding of the mechanisms by which animals mix sediments. This project builds on earlier work showing that animals extend burrows through muddy sediments by fracture to test the hypothesis that the mechanical properties of sediments that affect burrowing mechanics also affect sediment mixing. More broadly, this project examines the relative contributions of (i) the functional roles of the organisms in the community, (ii) the mechanical properties of sediments, and (iii) factors that might increase or decrease animal activity such as temperature and food availability to bioturbation rates. Burrowing animals modify the physical properties of sediments, and this project quantifies these changes and tests the hypothesis that these changes are ecologically important and affect community succession following a disturbance. In addition to this scientific broader impact, this project involves development of instrumentation to measure sediment properties and includes a substantial education plan to introduce graduate, undergraduate, and middle school students to the important role that technology plays in marine science.
Through burrowing and feeding activities, benthic infauna mix sediments and modify their physical environments. Bioturbation gates the burial of organic matter, enhances nutrient regeneration, and smears the paleontological and stratigraphic record. However, current understanding of the mechanisms by which infaunal activities mix sediments is insufficient to predict the impacts of changes in infaunal community structure on important sediment ecosystem functions driven by bioturbation. This project tests specific hypotheses relating infaunal communities, bioturbation, and geotechnical properties with the ultimate goal of understanding the dynamic changes and potential feedbacks between infauna and their physical environments. This project integrates field and lab experiments to assess the relative importance of infaunal community structure and activities to bioturbation rates. Additionally, this project builds on recent work showing that muddy sediments are elastic gels through which worms extend burrows by fracture to propose that geotechnical properties of sediments mediate bioturbation by governing the release of particles from the sediment matrix during burrow extension. Finite element modeling determines how the release of particles by fracture during burrowing depends on the fracture toughness (cohesion) and stiffness (compaction) of sediments and complements laboratory experiments characterizing the impact of geotechnical properties on burrowing behaviors. The proposed research also aims to determine whether impacts of infauna on geotechnical properties are ecologically important. Changes in infaunal communities and geotechnical properties following an experimental physical disturbance address the hypothesis that ecosystem engineering of bulk sediment properties facilitates succession.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |