Sediment properties collected off the Alabama coast before and after Hurricane Sally, 2020-2021

Website: https://www.bco-dmo.org/dataset/916071
Data Type: Other Field Results
Version: 1
Version Date: 2023-12-07

Project
» CAREER: Mechanisms of bioturbation and ecosystem engineering by benthic infauna (Bioturbation and Ecosystem Engineering)
ContributorsAffiliationRole
Dorgan, KellyDauphin Island Sea Lab (DISL)Principal Investigator
Clemo, William CyrusUniversity of South Alabama (USA)Student
Soenen, KarenWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
This dataset consists of profiles of sediment grain size distribution, porosity, and organic content in addition to bottom water salinity and temperature collected from 9 sites at 5, 12 and 20 meters depth in the Northern Gulf of Mexico off the Alabama (USA) coast before and after Hurricane Sally (2020).


Coverage

Spatial Extent: N:30.2464 E:-87.9888 S:30.0479 W:-88.289
Temporal Extent: 2020-09-10 - 2021-05-26

Methods & Sampling

Sediment cores (9.6 cm inner diameter) were collected with an Ocean Instruments MC-400 multicorer or via SCUBA diving at each site and timepoint. 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 °C for 48 h. Dried samples were placed in a muffle furnace at 550 °C for 4 h 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) measured at each site and timepoint using a CTD (conductivity, temperature, depth) instrument array.


Data Processing Description

For each sediment sample, 5 Malvern Mastersizer measurements were averaged and then analyzed using Gradistat v9.1 (Kenneth Pye Associates, LTD.).


[ table of contents | back to top ]

Data Files

File
916071_v1_sediment.csv
(Comma Separated Values (.csv), 818.79 KB)
MD5:429884cd7abab2b30990082db029cf7b
Primary data file for dataset ID 916071, version 1

[ table of contents | back to top ]

Related Publications

CLEMO, W. C., DORGAN, K. M., WALLACE, D. J., & DZWONKOWSKI, B. (2023). EFFECTS OF HURRICANE SALLY (2020) ON SEDIMENT STRUCTURE AND INFAUNAL COMMUNITIES IN COASTAL ALABAMA. Coastal Sediments 2023. https://doi.org/10.1142/9789811275135_0097
Results

[ table of contents | back to top ]

Parameters

ParameterDescriptionUnits
SiteSite name includes transect (W: West, M: Middle, E: East) and depth (05: 5m, 12: 12m, 20: 20m) at which samples were collected unitless
Latidudesite latitude, south is negative decimal degrees
Longitudesite longitude, west is negative decimal degrees
WaterDepth_msite depth m
Datesampling date calendar date
TimeAfterSally_ddays after Hurricane Sally landfall days
Salinitysite bottom water salinity unitless
Temperature_degCsite bottom water temperature degrees Celsius
Replicatecore replicate number unitless
SedimentDepth_cmcore sediment section depth cm
WaterContentFractionsediment water content unitless
PorosityFractionsediment porosity unitless
OrganicContentFractionsediment organic content unitless
MEANGrainSize_ummean grain size, um scale um
SORTING_umgrain size sorting, um scale unitless
SKEWNESS_umgrain size skewness, um scale unitless
KURTOSIS_umgrain size kurtosis, um scale unitless
MEANGrainSize_phimean grain size, phi scale phi
SORTING_phigrain size sorting, phi scale unitless
SKEWNESS_phigrain size skewness, phi scale unitless
KURTOSIS_phigrain size kurtosis, phi scale unitless
MEANGrainSizeDescriptionmean grain size description unitless
SORTINGDescriptiongrain size sorting description unitless
SKEWNESSDescriptiongrain size skewness description unitless
KURTOSISDescriptiongrain szie kurtosis description unitless
MODE1_umgrain size mode 1, um scale um
MODE2_umgrain size mode 2, um scale um
MODE3_umgrain size mode 3, um scale um
MODE1_phigrain size mode 1, phi scale phi
MODE2_phigrain size mode 2, phi scale phi
MODE3_phigrain size mode 3, phi scale phi
D10_um10th percentile of grain size, um scale um
D50_um50th percentile of grain size, um scale um
D90_um90th percentile of grain size, um scale um
D10_phi10th percentile of grain size, phi scale phi
D50_phi50th percentile of grain size, phi scale phi
D90_phi90th percentile of grain size, phi scale phi
GRAVELFractionsample fraction consisting of gravel-sized particles unitless
SANDFractionsample fraction consisting of sand-sized particles unitless
MUDFractionsample fraction consisting of mud-sized particles unitless
VCOARSEGRAVELFractionsample fraction consisting of very coarse gravel-sized particles unitless
COARSEGRAVELFractionsample fraction consisting of coarse gravel-sized particles unitless
MEDIUMGRAVELFractionsample fraction consisting of medium gravel-sized particles unitless
FINEGRAVELFractionsample fraction consisting of fine gravel-sized particles unitless
VFINEGRAVELFractionsample fraction consisting of very fine gravel-sized particles unitless
VCOARSESANDFractionsample fraction consisting of very coarse sand-sized particles unitless
COARSESANDFractionsample fraction consisting of coarse sand-sized particles unitless
MEDIUMSANDFractionsample fraction consisting of medium sand-sized particles unitless
FINESANDFractionsample fraction consisting of fine sand-sized particles unitless
VFINESANDFractionsample fraction consisting of very fine sand-sized particles unitless
VCOARSESILTFractionsample fraction consisting of very coarse silt-sized particles unitless
COARSESILTFractionsample fraction consisting of coarse silt-sized particles unitless
MEDIUMSILTFractionsample fraction consisting of medium silt-sized particles unitless
FINESILTFractionsample fraction consisting of fine silt-sized particles unitless
VFINESILTFractionsample fraction consisting of very fine silt-sized particles unitless
CLAYFractionsample fraction consisting of clay-sized particles unitless
grainsize_3500Mastersizer grain size class: 3500 um um
grainsize_3080Mastersizer grain size class: 3080 um um
grainsize_2710Mastersizer grain size class: 2710 um um
grainsize_2390Mastersizer grain size class: 2390 um um
grainsize_2100Mastersizer grain size class: 2100 um um
grainsize_1850Mastersizer grain size class: 1850 um um
grainsize_1630Mastersizer grain size class: 1630 um um
grainsize_1430Mastersizer grain size class: 1430 um um
grainsize_1260Mastersizer grain size class: 1260 um um
grainsize_1110Mastersizer grain size class: 1110 um um
grainsize_976Mastersizer grain size class: 976 um um
grainsize_859Mastersizer grain size class: 859 um um
grainsize_756Mastersizer grain size class: 756 um um
grainsize_666Mastersizer grain size class: 666 um um
grainsize_586Mastersizer grain size class: 586 um um
grainsize_516Mastersizer grain size class: 516 um um
grainsize_454Mastersizer grain size class: 454 um um
grainsize_400Mastersizer grain size class: 400 um um
grainsize_352Mastersizer grain size class: 352 um um
grainsize_310Mastersizer grain size class: 310 um um
grainsize_272Mastersizer grain size class: 272 um um
grainsize_240Mastersizer grain size class: 240 um um
grainsize_211Mastersizer grain size class: 211 um um
grainsize_186Mastersizer grain size class: 186 um um
grainsize_163Mastersizer grain size class: 163 um um
grainsize_144Mastersizer grain size class: 144 um um
grainsize_127Mastersizer grain size class: 127 um um
grainsize_111Mastersizer grain size class: 111 um um
grainsize_98_1Mastersizer grain size class: 98.1 um um
grainsize_86_4Mastersizer grain size class: 86.4 um um
grainsize_76Mastersizer grain size class: 76 um um
grainsize_66_9Mastersizer grain size class: 66.9 um um
grainsize_58_9Mastersizer grain size class: 58.9 um um
grainsize_51_8Mastersizer grain size class: 51.8 um um
grainsize_45_6Mastersizer grain size class: 45.6 um um
grainsize_40_1Mastersizer grain size class: 40.1 um um
grainsize_35_3Mastersizer grain size class: 35.3 um um
grainsize_31_1Mastersizer grain size class: 31.1 um um
grainsize_27_4Mastersizer grain size class: 27.4 um um
grainsize_24_1Mastersizer grain size class: 24.1 um um
grainsize_21_2Mastersizer grain size class: 21.2 um um
grainsize_18_7Mastersizer grain size class: 18.7 um um
grainsize_16_4Mastersizer grain size class: 16.4 um um
grainsize_14_5Mastersizer grain size class: 14.5 um um
grainsize_12_7Mastersizer grain size class: 12.7 um um
grainsize_11_2Mastersizer grain size class: 11.2 um um
grainsize_9_86Mastersizer grain size class: 9.86 um um
grainsize_8_68Mastersizer grain size class: 8.68 um um
grainsize_7_64Mastersizer grain size class: 7.64 um um
grainsize_6_72Mastersizer grain size class: 6.72 um um
grainsize_5_92Mastersizer grain size class: 5.92 um um
grainsize_5_21Mastersizer grain size class: 5.21 um um
grainsize_4_58Mastersizer grain size class: 4.58 um um
grainsize_4_03Mastersizer grain size class: 4.03 um um
grainsize_3_55Mastersizer grain size class: 3.55 um um
grainsize_3_12Mastersizer grain size class: 3.12 um um
grainsize_2_75Mastersizer grain size class: 2.75 um um
grainsize_2_42Mastersizer grain size class: 2.42 um um
grainsize_2_13Mastersizer grain size class: 2.13 um um
grainsize_1_88Mastersizer grain size class: 1.88 um um
grainsize_1_65Mastersizer grain size class: 1.65 um um
grainsize_1_45Mastersizer grain size class: 1.45 um um
grainsize_1_28Mastersizer grain size class: 1.28 um um
grainsize_1_13Mastersizer grain size class: 1.13 um um
grainsize_0_991Mastersizer grain size class: 0.991 um um
grainsize_0_872Mastersizer grain size class: 0.872 um um
grainsize_0_767Mastersizer grain size class: 0.767 um um
grainsize_0_675Mastersizer grain size class: 0.675 um um
grainsize_0_594Mastersizer grain size class: 0.594 um um
grainsize_0_523Mastersizer grain size class: 0.523 um um
grainsize_0_46Mastersizer grain size class: 0.46 um um
grainsize_0_405Mastersizer grain size class: 0.405 um um
grainsize_0_357Mastersizer grain size class: 0.357 um um
grainsize_0_314Mastersizer grain size class: 0.314 um um
grainsize_0_276Mastersizer grain size class: 0.276 um um
grainsize_0_243Mastersizer grain size class: 0.243 um um
grainsize_0_214Mastersizer grain size class: 0.214 um um
grainsize_0_188Mastersizer grain size class: 0.188 um um
grainsize_0_166Mastersizer grain size class: 0.166 um um
grainsize_0_146Mastersizer grain size class: 0.146 um um
grainsize_0_128Mastersizer grain size class: 0.128 um um
grainsize_0_113Mastersizer grain size class: 0.113 um um
grainsize_0_0995Mastersizer grain size class: 0.0995 um um
grainsize_0_0876Mastersizer grain size class: 0.0876 um um
grainsize_0_0771Mastersizer grain size class: 0.0771 um um
grainsize_0_0679Mastersizer grain size class: 0.0679 um um
grainsize_0_0597Mastersizer grain size class: 0.0597 um um
grainsize_0_0526Mastersizer grain size class: 0.0526 um um
grainsize_0_0463Mastersizer grain size class: 0.0463 um um
grainsize_0_0407Mastersizer grain size class: 0.0407 um um
grainsize_0_0358Mastersizer grain size class: 0.0358 um um
grainsize_0_0315Mastersizer grain size class: 0.0315 um um
grainsize_0_0278Mastersizer grain size class: 0.0278 um um
grainsize_0_0244Mastersizer grain size class: 0.0244 um um
grainsize_0_0215Mastersizer grain size class: 0.0215 um um
grainsize_0_0189Mastersizer grain size class: 0.0189 um um
grainsize_0_0167Mastersizer grain size class: 0.0167 um um
grainsize_0_0147Mastersizer grain size class: 0.0147 um um
grainsize_0_0129Mastersizer grain size class: 0.0129 um um
grainsize_0_0114Mastersizer grain size class: 0.0114 um um
grainsize_0_01Mastersizer grain size class: 0.01 um um


[ table of contents | back to top ]

Instruments

Dataset-specific Instrument Name
Ocean Instruments MC-400 multicorer
Generic Instrument Name
Multi Corer
Dataset-specific Description
Ocean Instruments MC-400 multicorer: Core collection.
Generic Instrument Description
The Multi Corer is a benthic coring device used to collect multiple, simultaneous, undisturbed sediment/water samples from the seafloor. Multiple coring tubes with varying sampling capacity depending on tube dimensions are mounted in a frame designed to sample the deep ocean seafloor. For more information, see Barnett et al. (1984) in Oceanologica Acta, 7, pp. 399-408.

Dataset-specific Instrument Name
Malvern Mastersizer 3000
Generic Instrument Name
Particle Size Analyzer
Dataset-specific Description
Malvern Mastersizer 3000: Grain size analysis was done on a Malvern Mastersizer 3000 particle analyzer.
Generic Instrument Description
Particle size analysis, particle size measurement, or simply particle sizing is the collective name of the technical procedures, or laboratory techniques which determines the size range, and/or the average, or mean size of the particles in a powder or liquid sample.

Dataset-specific Instrument Name
Generic Instrument Name
CTD - fixed
Generic Instrument Description
A reusable instrument that always simultaneously measures conductivity and temperature (for salinity) and pressure (for depth). This term applies to CTDs that are fixed and do not measure by profiling through the water column. For profiling CTDs, see https://www.bco-dmo.org/instrument/417.


[ table of contents | back to top ]

Project Information

CAREER: Mechanisms of bioturbation and ecosystem engineering by benthic infauna (Bioturbation and Ecosystem Engineering)

Coverage: Dauphin Island Sea Lab, Dauphin Island, AL


NSF 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.



[ table of contents | back to top ]

Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

[ table of contents | back to top ]