Speciation of sulfur in sediment, dissolved organic matter, and biogenic material determined by x-ray absorbance spectroscopy of samples collected at two mangrove locations in June 2022 through February 2024

Website: https://www.bco-dmo.org/dataset/988595
Data Type: Other Field Results
Version: 1
Version Date: 2026-02-17

Project
» Carbon Storage in Mangrove Ecosystems via Abiotic Sulfurization (Mangroves OS)
ContributorsAffiliationRole
Raven, Morgan ReedUniversity of California-Santa Barbara (UCSB)Principal Investigator
Capece, Lena R.University of California-Santa Barbara (UCSB)Student
Rauch, ShannonWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
Here we provide data on the speciation of sulfur from sediment, dissolved organic matter, and biogenic material from mangrove ecosystems in the Caribbean and Florida collected over two field seasons in 2022 and 2024. These data will be useful for those interested in understanding organic matter sulfurization in blue carbon ecosystems such as mangroves. The data will also be informative for researchers investigating organic sulfur cycling. Samples were collected by Lena Capece and Morgan Raven, and data were interpreted by Lena Capece and Morgan Raven.


Coverage

Spatial Extent: N:26.02848 E:-71.69677 S:21.29705 W:-82.73451
Temporal Extent: 2022-06 - 2024-07

Methods & Sampling

Sediment cores, biomass, and dissolved organic matter were collected from two mangrove locations in Rookery Bay National Estuarine Research Reserve (Florida, USA) and Little Ambergris Caye (Turks and Caicos) during the time period of June 2022 through February 2024 using a 5-centimeter PVC push corer. Sediment cores were extruded in the field and kept at -20 degrees Celsius (°C) until analysis could be carried out back in the lab at UC Santa Barbara along with biogenic material. Dissolved organic matter was kept refrigerated in SPE cartridges until eluted back in the lab at UC Santa Barbara.

To isolate major carbon and sulfur pools, a ~1 gram (g) aliquot of the freeze-dried sample from each sediment interval was subjected to two sequential microwave extractions (MARS-6, CEM, 70°C for 15 minutes) using a 9:1 dichloromethane. Solvent-extracted solids were rinsed with 0.7N NaCl solution, ultra-pure water, freeze dried, and then acid fumigated to remove carbonates for 12 hours with a 6N HCl solution. A 500-milligram (mg) subsample of the same microwave-extracted solid residue was then subjected to a strong acid hydrolysis (6N HCl, 60°C, 2 hours) to extract acid-volatile sulfur (AVS, operationally defined as iron monosulfides) following Canfield et al. 1986 and Raven et al. 2019. The remaining solid residue underwent a chromium (II) chloride extraction at 60°C for 2 hours to isolate chromium reducible sulfur (CRS, operationally defined as pyrite) following Canfield et al. 1986. The leftover solid residue following the CRS extraction contains highly hydrolysis-resistant OM that we refer to as protokerogen (Burdige 2007; Raven et al. 2019). Biogenic material went under the same set of extractions while the dissolved organic matter was eluted with methanol and dried down in a fume hood (Phillips et al. 2022).

The oxidation state and bonding environment of organic sulfur in the post-CRS extraction, post-CRS extraction biogenic material, and dissolved organic matter were characterized using x-ray absorption spectroscopy (XAS). Spectra were obtained on Stanford Synchrotron Radiation Lightsource (SSRL) on beam line 14–3 using a spot size of 0.5 square millimeters (mm2) and a Si(111) (Φ = 90) double crystal monochromator calibrated to the thiol pre-edge peak of thiosulfate at 2472.02 electron volts (eV). Samples were adhered onto Saint Gobain M60 S-free polyester tape and covered with 5-micrometer (µm) SPEX 3520 polypropylene XRF film. Spectra were averaged and normalized in the SIXPACK (Webb 2005) software package using a K-edge E0 of 2473 and pre-edge and post-edge linear normalization ranges of -20 to -7 and 35 to 70 eV, respectively. The relative abundance (percent (%)) of individual sulfur species were determined in sediments and biomass samples using least squares fitting and a set of OS standards (Raven et al. 2021). The relative abundances of different sulfur species were then used to determine the percentage of reduced (disulfide, monosulfide, aromatic) and oxidized (sulfoxide, sulfone/sulfonate, sulfate ester) sulfur in samples.


Data Processing Description

Data were processed using R version 4.2.2 (2022-10-31) and SIXPACK (Webb 2005).


BCO-DMO Processing Description

- Imported original file "988595_v2_mangrove_xas.xlsx" (internal version number) into the BCO-DMO system.
- Created "Year_month" column, containing date in YYYY-MM format.
- Saved the final file as "988595_v1_mangrove_xas.csv".


Problem Description

There are missing data for some measurements due to detection limits or sample mishandling. High chi square values are likely from samples with high oxidized sulfur components or limitations in the detection of sulfur.

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Data Files

File
988595_v1_mangrove_xas.csv
(Comma Separated Values (.csv), 16.97 KB)
MD5:3a57eb6b232a7491bf8028aa0cda66ec
Primary data file for dataset ID 988595, version 1

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Related Publications

Burdige, D. J. (2007). Preservation of Organic Matter in Marine Sediments:  Controls, Mechanisms, and an Imbalance in Sediment Organic Carbon Budgets? Chemical Reviews, 107(2), 467–485. https://doi.org/10.1021/cr050347q
Methods
Canfield, D. E., Raiswell, R., Westrich, J. T., Reaves, C. M., & Berner, R. A. (1986). The use of chromium reduction in the analysis of reduced inorganic sulfur in sediments and shales. Chemical Geology, 54(1-2), 149–155. doi:10.1016/0009-2541(86)90078-1
Methods
Phillips, A. A., White, M. E., Seidel, M., Wu, F., Pavia, F. F., Kemeny, P. C., Ma, A. C., Aluwihare, L. I., Dittmar, T., & Sessions, A. L. (2022). Novel sulfur isotope analyses constrain sulfurized porewater fluxes as a minor component of marine dissolved organic matter. Proceedings of the National Academy of Sciences, 119(41). https://doi.org/10.1073/pnas.2209152119
Results
Raven, M. R., Fike, D. A., Gomes, M. L., & Webb, S. M. (2019). Chemical and Isotopic Evidence for Organic Matter Sulfurization in Redox Gradients Around Mangrove Roots. Frontiers in Earth Science, 7. https://doi.org/10.3389/feart.2019.00098
Methods
Raven, M. R., Keil, R. G., & Webb, S. M. (2021). Rapid, Concurrent Formation of Organic Sulfur and Iron Sulfides During Experimental Sulfurization of Sinking Marine Particles. Global Biogeochemical Cycles, 35(9). Portico. https://doi.org/10.1029/2021gb007062
Methods
Webb, S. M. (2005). SIXPack a Graphical User Interface for XAS Analysis Using IFEFFIT. Physica Scripta, 1011. doi:10.1238/physica.topical.115a01011
Methods

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Parameters

ParameterDescriptionUnits
name

sample ID

unitless
type

sample type: ambergris (mangroves in Little Ambergris Caye), pristine (pristine mangroves in Florida), or restored (restored mangroves in Florida)

unitless
site

name of the study site

unitless
lat

latitude of sampling location

decimal degrees
long

longitude of sampling location

decimal degrees
depth

sample depth; either numeric (centimeters), roots = fine root material, or surface = litter or mat surface material

cm or unitless
habitat

mangrove ecosystem zonation where sample was taken (basin = inland, low lying; fringe = along the seaward edge in thin band, regularly flushed; overwash = island based, deteriorated = dead trees; transitional = recovering trees)

unitless
treatment

type of sample: bulk = bulk organic matter, pk = protokerogen organic matter (residual organic matter), dom = dissolved organic matter

unitless
pyrite

relative abundance of pyrite in samples determined following XAS

unitless (percent, %)
sulfur

relative abundance of elemental sulfur in samples determined following XAS

unitless (percent, %)
aromatic

relative abundance of aromatics in samples determined following XAS

unitless (percent, %)
disulfide

relative abundance of organic disulfides in samples determined following XAS

unitless (percent, %)
monosulfide

relative abundance of organic monosulfides in samples determined following XAS

unitless (percent, %)
sulfoxide

relative abundance of sulfoxides in samples determined following XAS

unitless (percent, %)
sulfonate

relative abundance of sulfonates in samples determined following XAS

unitless (percent, %)
ester

relative abundance of sulfate esters in samples determined following XAS

unitless (percent, %)
sulfate

relative abundance of sulfate in samples determined following XAS

unitless (percent, %)
sum

sum of all sulfur types (should be ~1)

unitless
chi

chi squared, results of statistical analyses carried out in Sixpack that detail the goodness of the fit of standard spectra to sample spectra determined following XAS

unitless
year

year of sample collection

unitless
month

month of sample collection

unitless
Year_month

year and month of sample collection

unitless


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Instruments

Dataset-specific Instrument Name
MARS-6 microwave CEM
Generic Instrument Name
Microwave Digestion Platform
Dataset-specific Description
Used to extract lipids from sediments
Generic Instrument Description
Microwave digestion is a chemical technique used to decompose sample material into a solution suitable for quantitative elemental analysis

Dataset-specific Instrument Name
5-centimeter PVC push corer
Generic Instrument Name
Push Corer
Generic Instrument Description
Capable of being performed in numerous environments, push coring is just as it sounds. Push coring is simply pushing the core barrel (often an aluminum or polycarbonate tube) into the sediment by hand. A push core is useful in that it causes very little disturbance to the more delicate upper layers of a sub-aqueous sediment. Description obtained from: http://web.whoi.edu/coastal-group/about/how-we-work/field-methods/coring/

Dataset-specific Instrument Name
Stanford Synchrotron Radiation Lightsource (SSRL) on beam line 14–3
Generic Instrument Name
Synchrotron light source
Generic Instrument Description
A synchrotron light source is a large, specialized particle accelerator that produces extremely intense beams of light (ranging from infrared to X-rays) by forcing charged particles (usually electrons) to travel near the speed of light around a closed, magnetic ring.


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Project Information

Carbon Storage in Mangrove Ecosystems via Abiotic Sulfurization (Mangroves OS)


Coverage: Floridian and Caribbean mangroves; Californian salt mashes


NSF Award Abstract:
Mangrove forest sediments are important hotspots of organic carbon preservation, and they have the potential to sequester substantial amounts of atmospheric CO2. Currently, however, is it not fully understood why these environments are able to bury so much organic carbon, or how they will respond to future changes in sea level, land use, and climate. This project will investigate a mechanism that may help explain this carbon burial: organic matter sulfurization, the transformation and effective ‘pickling’ of sedimentary organic matter by sulfide. Its central aim is to understand what controls the extent of sulfurization in mangrove sediments, and to estimate the contribution of organic matter sulfurization to sediment carbon storage in different parts of the environment. By providing some of the first constraints on how, when, and where organic matter sulfurization happens in mangroves, the results of this work will guide decisionmakers managing coastal watersheds and carbon stocks in the face of land use, climate and sea level change. As part of this work, four undergraduate students and one PhD student at UC Santa Barbara will gain field and research experience. And, in collaboration with local groups associated with the field site, the team will produce a season of ‘Ocean Solutions’ podcast episodes related to conservation and human impacts of Caribbean mangroves.

The overarching goal of this project is to understand how microbial sulfur cycling affects organic matter preservation in vegetated coastal sediments, which have substantial leverage to impact the global carbon cycle on decadal to millennial timescales. It specifically investigates organic matter sulfurization, which can transform fresh, easily respired organic matter into recalcitrant, polymerized carbon stocks with long-term preservation potential. Although organic matter sulfurization is known to occur in mangrove sediments, the scale of its impact is essentially unknown. A pair of field expeditions will be conducted at a mangrove forest on the southwestern coast of Florida. In the first field season, geochemical profiles will be used to quantify organic matter sulfurization in sediments and its relationships with carbon storage, iron mineralogy, and the characteristics of sedimentary organic matter inputs. In the second field season, cyclic voltammetry will be used to target redox dynamics at the millimeter scale. Laboratory experiments will be conducted to test the susceptibility of various local organic matter sources to sulfurization and characterize their sulfurized forms. Throughout, the project applies a holistic approach to sedimentary organic matter by characterizing the dissolved, lipid, protein/carbohydrate, and proto-kerogen pools with isotopic and spectroscopic techniques. This work will yield a first quantitative, mechanistic framework for predicting the extent of organic matter sulfurization in coastal vegetated habitats and its likely response to changes in ecology, land use, or sea level.

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 Earth Sciences (NSF EAR)

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