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.).


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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

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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. In Coastal Sediments 2023: The Proceedings of the Coastal Sediments 2023 (pp. 1055-1068). https://doi.org/10.1142/9789811275135_0097
Results

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Related Datasets

IsRelatedTo
Clemo, W. C., Dorgan, K. (2024) Infaunal community composition and sediment grain size distribution, porosity, and organic content of sediment cores collected in the Northern Gulf of Mexico off the Alabama (USA) coast during 2020 and 2021 before and after Hurricane Sally. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-08-07 doi:10.26008/1912/bco-dmo.934897.1 [view at BCO-DMO]

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Parameters

ParameterDescriptionUnits
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
Latidude

site latitude, south is negative

decimal degrees
Longitude

site longitude, west is negative

decimal degrees
WaterDepth_m

site depth

m
Date

sampling date

calendar date
TimeAfterSally_d

days after Hurricane Sally landfall

days
Salinity

site bottom water salinity

unitless
Temperature_degC

site bottom water temperature

degrees Celsius
Replicate

core replicate number

unitless
SedimentDepth_cm

core sediment section depth

cm
WaterContentFraction

sediment water content

unitless
PorosityFraction

sediment porosity

unitless
OrganicContentFraction

sediment organic content

unitless
MEANGrainSize_um

mean grain size, um scale

um
SORTING_um

grain size sorting, um scale

unitless
SKEWNESS_um

grain size skewness, um scale

unitless
KURTOSIS_um

grain size kurtosis, um scale

unitless
MEANGrainSize_phi

mean grain size, phi scale

phi
SORTING_phi

grain size sorting, phi scale

unitless
SKEWNESS_phi

grain size skewness, phi scale

unitless
KURTOSIS_phi

grain size kurtosis, phi scale

unitless
MEANGrainSizeDescription

mean grain size description

unitless
SORTINGDescription

grain size sorting description

unitless
SKEWNESSDescription

grain size skewness description

unitless
KURTOSISDescription

grain szie kurtosis description

unitless
MODE1_um

grain size mode 1, um scale

um
MODE2_um

grain size mode 2, um scale

um
MODE3_um

grain size mode 3, um scale

um
MODE1_phi

grain size mode 1, phi scale

phi
MODE2_phi

grain size mode 2, phi scale

phi
MODE3_phi

grain size mode 3, phi scale

phi
D10_um

10th percentile of grain size, um scale

um
D50_um

50th percentile of grain size, um scale

um
D90_um

90th percentile of grain size, um scale

um
D10_phi

10th percentile of grain size, phi scale

phi
D50_phi

50th percentile of grain size, phi scale

phi
D90_phi

90th percentile of grain size, phi scale

phi
GRAVELFraction

sample fraction consisting of gravel-sized particles

unitless
SANDFraction

sample fraction consisting of sand-sized particles

unitless
MUDFraction

sample fraction consisting of mud-sized particles

unitless
VCOARSEGRAVELFraction

sample fraction consisting of very coarse gravel-sized particles

unitless
COARSEGRAVELFraction

sample fraction consisting of coarse gravel-sized particles

unitless
MEDIUMGRAVELFraction

sample fraction consisting of medium gravel-sized particles

unitless
FINEGRAVELFraction

sample fraction consisting of fine gravel-sized particles

unitless
VFINEGRAVELFraction

sample fraction consisting of very fine gravel-sized particles

unitless
VCOARSESANDFraction

sample fraction consisting of very coarse sand-sized particles

unitless
COARSESANDFraction

sample fraction consisting of coarse sand-sized particles

unitless
MEDIUMSANDFraction

sample fraction consisting of medium sand-sized particles

unitless
FINESANDFraction

sample fraction consisting of fine sand-sized particles

unitless
VFINESANDFraction

sample fraction consisting of very fine sand-sized particles

unitless
VCOARSESILTFraction

sample fraction consisting of very coarse silt-sized particles

unitless
COARSESILTFraction

sample fraction consisting of coarse silt-sized particles

unitless
MEDIUMSILTFraction

sample fraction consisting of medium silt-sized particles

unitless
FINESILTFraction

sample fraction consisting of fine silt-sized particles

unitless
VFINESILTFraction

sample fraction consisting of very fine silt-sized particles

unitless
CLAYFraction

sample fraction consisting of clay-sized particles

unitless
grainsize_3500

Mastersizer grain size class: 3500 um

um
grainsize_3080

Mastersizer grain size class: 3080 um

um
grainsize_2710

Mastersizer grain size class: 2710 um

um
grainsize_2390

Mastersizer grain size class: 2390 um

um
grainsize_2100

Mastersizer grain size class: 2100 um

um
grainsize_1850

Mastersizer grain size class: 1850 um

um
grainsize_1630

Mastersizer grain size class: 1630 um

um
grainsize_1430

Mastersizer grain size class: 1430 um

um
grainsize_1260

Mastersizer grain size class: 1260 um

um
grainsize_1110

Mastersizer grain size class: 1110 um

um
grainsize_976

Mastersizer grain size class: 976 um

um
grainsize_859

Mastersizer grain size class: 859 um

um
grainsize_756

Mastersizer grain size class: 756 um

um
grainsize_666

Mastersizer grain size class: 666 um

um
grainsize_586

Mastersizer grain size class: 586 um

um
grainsize_516

Mastersizer grain size class: 516 um

um
grainsize_454

Mastersizer grain size class: 454 um

um
grainsize_400

Mastersizer grain size class: 400 um

um
grainsize_352

Mastersizer grain size class: 352 um

um
grainsize_310

Mastersizer grain size class: 310 um

um
grainsize_272

Mastersizer grain size class: 272 um

um
grainsize_240

Mastersizer grain size class: 240 um

um
grainsize_211

Mastersizer grain size class: 211 um

um
grainsize_186

Mastersizer grain size class: 186 um

um
grainsize_163

Mastersizer grain size class: 163 um

um
grainsize_144

Mastersizer grain size class: 144 um

um
grainsize_127

Mastersizer grain size class: 127 um

um
grainsize_111

Mastersizer grain size class: 111 um

um
grainsize_98_1

Mastersizer grain size class: 98.1 um

um
grainsize_86_4

Mastersizer grain size class: 86.4 um

um
grainsize_76

Mastersizer grain size class: 76 um

um
grainsize_66_9

Mastersizer grain size class: 66.9 um

um
grainsize_58_9

Mastersizer grain size class: 58.9 um

um
grainsize_51_8

Mastersizer grain size class: 51.8 um

um
grainsize_45_6

Mastersizer grain size class: 45.6 um

um
grainsize_40_1

Mastersizer grain size class: 40.1 um

um
grainsize_35_3

Mastersizer grain size class: 35.3 um

um
grainsize_31_1

Mastersizer grain size class: 31.1 um

um
grainsize_27_4

Mastersizer grain size class: 27.4 um

um
grainsize_24_1

Mastersizer grain size class: 24.1 um

um
grainsize_21_2

Mastersizer grain size class: 21.2 um

um
grainsize_18_7

Mastersizer grain size class: 18.7 um

um
grainsize_16_4

Mastersizer grain size class: 16.4 um

um
grainsize_14_5

Mastersizer grain size class: 14.5 um

um
grainsize_12_7

Mastersizer grain size class: 12.7 um

um
grainsize_11_2

Mastersizer grain size class: 11.2 um

um
grainsize_9_86

Mastersizer grain size class: 9.86 um

um
grainsize_8_68

Mastersizer grain size class: 8.68 um

um
grainsize_7_64

Mastersizer grain size class: 7.64 um

um
grainsize_6_72

Mastersizer grain size class: 6.72 um

um
grainsize_5_92

Mastersizer grain size class: 5.92 um

um
grainsize_5_21

Mastersizer grain size class: 5.21 um

um
grainsize_4_58

Mastersizer grain size class: 4.58 um

um
grainsize_4_03

Mastersizer grain size class: 4.03 um

um
grainsize_3_55

Mastersizer grain size class: 3.55 um

um
grainsize_3_12

Mastersizer grain size class: 3.12 um

um
grainsize_2_75

Mastersizer grain size class: 2.75 um

um
grainsize_2_42

Mastersizer grain size class: 2.42 um

um
grainsize_2_13

Mastersizer grain size class: 2.13 um

um
grainsize_1_88

Mastersizer grain size class: 1.88 um

um
grainsize_1_65

Mastersizer grain size class: 1.65 um

um
grainsize_1_45

Mastersizer grain size class: 1.45 um

um
grainsize_1_28

Mastersizer grain size class: 1.28 um

um
grainsize_1_13

Mastersizer grain size class: 1.13 um

um
grainsize_0_991

Mastersizer grain size class: 0.991 um

um
grainsize_0_872

Mastersizer grain size class: 0.872 um

um
grainsize_0_767

Mastersizer grain size class: 0.767 um

um
grainsize_0_675

Mastersizer grain size class: 0.675 um

um
grainsize_0_594

Mastersizer grain size class: 0.594 um

um
grainsize_0_523

Mastersizer grain size class: 0.523 um

um
grainsize_0_46

Mastersizer grain size class: 0.46 um

um
grainsize_0_405

Mastersizer grain size class: 0.405 um

um
grainsize_0_357

Mastersizer grain size class: 0.357 um

um
grainsize_0_314

Mastersizer grain size class: 0.314 um

um
grainsize_0_276

Mastersizer grain size class: 0.276 um

um
grainsize_0_243

Mastersizer grain size class: 0.243 um

um
grainsize_0_214

Mastersizer grain size class: 0.214 um

um
grainsize_0_188

Mastersizer grain size class: 0.188 um

um
grainsize_0_166

Mastersizer grain size class: 0.166 um

um
grainsize_0_146

Mastersizer grain size class: 0.146 um

um
grainsize_0_128

Mastersizer grain size class: 0.128 um

um
grainsize_0_113

Mastersizer grain size class: 0.113 um

um
grainsize_0_0995

Mastersizer grain size class: 0.0995 um

um
grainsize_0_0876

Mastersizer grain size class: 0.0876 um

um
grainsize_0_0771

Mastersizer grain size class: 0.0771 um

um
grainsize_0_0679

Mastersizer grain size class: 0.0679 um

um
grainsize_0_0597

Mastersizer grain size class: 0.0597 um

um
grainsize_0_0526

Mastersizer grain size class: 0.0526 um

um
grainsize_0_0463

Mastersizer grain size class: 0.0463 um

um
grainsize_0_0407

Mastersizer grain size class: 0.0407 um

um
grainsize_0_0358

Mastersizer grain size class: 0.0358 um

um
grainsize_0_0315

Mastersizer grain size class: 0.0315 um

um
grainsize_0_0278

Mastersizer grain size class: 0.0278 um

um
grainsize_0_0244

Mastersizer grain size class: 0.0244 um

um
grainsize_0_0215

Mastersizer grain size class: 0.0215 um

um
grainsize_0_0189

Mastersizer grain size class: 0.0189 um

um
grainsize_0_0167

Mastersizer grain size class: 0.0167 um

um
grainsize_0_0147

Mastersizer grain size class: 0.0147 um

um
grainsize_0_0129

Mastersizer grain size class: 0.0129 um

um
grainsize_0_0114

Mastersizer grain size class: 0.0114 um

um
grainsize_0_01

Mastersizer grain size class: 0.01 um

um


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Instruments

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.

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.


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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 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.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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