S-CAN and geochemical data for Groves Creek from 2013-10-16 to 2015-02-26

Website: https://www.bco-dmo.org/dataset/753816
Data Type: Other Field Results, experimental
Version: 1
Version Date: 2019-02-20

Project
» Collaborative Research: Marine priming effect - molecular mechanisms for the biomineralization of terrigenous dissolved organic matter in the ocean (Marine priming effect)
ContributorsAffiliationRole
Stubbins, AronSkidaway Institute of Oceanography (SkIO)Principal Investigator
Spencer, RobertFlorida State University (FSU)Co-Principal Investigator
Biddle, MathewWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager


Coverage

Spatial Extent: Lat:31.97139 Lon:-80.972472
Temporal Extent: 2013-10-16 - 2015-02-26

Dataset Description

S-CAN and geochemical data for Groves Creek


Methods & Sampling

In situ instruments deployed at 1 m depth below the surface and as per: Tait, Z. S., M. Thompson, and A. Stubbins (2015) Chemical fouling reduction of a submersible steel spectrophotometer in estuarine environments using a sacrificial zinc anode. Journal of Environmental Quality. doi: 10.2134/jeq2014.11.0484

Samples for laboratory analyses were collected using a refrigerated autosampler (ISCO) which pumped samples from a depth of 1 m below the water surface. Samples were returned to the laboratory and filtered through 0.2 micron Polycap filters within 24 hours of collection. 

DOC and TDN using a Shimadzu TOC/TDN analyzer as per automated setup in Stubbins, A., and Dittmar, T. (2012) Low volume quantification of dissolved organic carbon and dissolved nitrogen. Limnology and Oceanography: Methods. doi: 10.4319/lom.2012.10.347.

Lignin via cupric oxide oxidation and GC-MS as per: Spencer, R.G.M., Hernes, P.J., Ruf, R., Baker, A., Dyda, R.Y., Stubbins, A., and Six, J. (2010) Temporal controls on dissolved organic matter and lignin biogeochemistry in a pristine tropical river. Journal of Geophysical Research – Biogeosciences. doi:10.1029/2009JG001180.

Dissolved black carbon by nitric acid oxidation to BPCAs followed by HPLC with spectrophotometric detection as per the non-isotopic method in Wagner, S., Brandes, J., Goranov, A.I., Drake, T. W., Spencer, R. G. W., Stubbins, A. (2017) Online quantification and compound-specific stable isotopic analysis of black carbon in environmental matrices via liquid chromatography-isotope ratio mass spectrometry. Limnology and Oceanography: Methods. doi: 10.1002/lom3.10219.
Nutrients were analyzed using a nutrient analyzer as per: Bittar, T. B., S. A. Berger, L. M. Birsa, T. L. Walters, M. E. Thompson, R. G. M. Spencer, E. L. Mann, A. Stubbins, M. E. Frischer, and J. A. Brandes (2016) Seasonal dynamics of dissolved, particulate and microbial components of a tidal saltmarsh-dominated estuary under contrasting levels of freshwater discharge. Estuarine, Coastal and Shelf Science. doi: 10.1016/j.ecss.2016.08.046.


Data Processing Description

BCO-DMO Processing Notes:

- combined two data tables into one data table with the same field identifiers.
- added conventional header with dataset name, PI name, version date
- modified parameter names to conform with BCO-DMO naming conventions
- added lat and lon columns
- added date_time column
- added depth column
- removed columns SCAN1,2,3 as the column SCAN_no contains the same information

 


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Data Files

File
light_atten.csv
(Comma Separated Values (.csv), 60.90 MB)
MD5:66f04f46b5ec28a60d14e25bd43ec764
Primary data file for dataset ID 753816

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Related Publications

Bittar, T. B., Berger, S. A., Birsa, L. M., Walters, T. L., Thompson, M. E., Spencer, R. G. M., … Brandes, J. A. (2016). Seasonal dynamics of dissolved, particulate and microbial components of a tidal saltmarsh-dominated estuary under contrasting levels of freshwater discharge. Estuarine, Coastal and Shelf Science, 182, 72–85. doi:10.1016/j.ecss.2016.08.046
Methods
Spencer, R. G. M., Hernes, P. J., Ruf, R., Baker, A., Dyda, R. Y., Stubbins, A., & Six, J. (2010). Temporal controls on dissolved organic matter and lignin biogeochemistry in a pristine tropical river, Democratic Republic of Congo. Journal of Geophysical Research, 115(G3). doi:10.1029/2009jg001180 https://doi.org/10.1029/2009JG001180
Methods
Stubbins, A., & Dittmar, T. (2012). Low volume quantification of dissolved organic carbon and dissolved nitrogen. Limnology and Oceanography: Methods, 10(5), 347–352. doi:10.4319/lom.2012.10.347
Methods
Tait, Z. S., Thompson, M., & Stubbins, A. (2015). Chemical Fouling Reduction of a Submersible Steel Spectrophotometer in Estuarine Environments Using a Sacrificial Zinc Anode. Journal of Environment Quality, 44(4), 1321. doi:10.2134/jeq2014.11.0484
Methods
Wagner, S., Brandes, J., Goranov, A. I., Drake, T. W., Spencer, R. G. M., & Stubbins, A. (2017). Online quantification and compound-specific stable isotopic analysis of black carbon in environmental matrices via liquid chromatography-isotope ratio mass spectrometry. Limnology and Oceanography: Methods, 15(12), 995–1006. doi:10.1002/lom3.10219
Methods

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Parameters

ParameterDescriptionUnits
SCAN_no

spectrophotometer number

unitless
Excel_Time

value that Microsoft Excel recognizes as a date

unitless
date_time

date and time formatted as a string following YYYY-MM-DD HH:MM

unitless
ISCO_deployment_no

deployment number

unitless
nm220

light attenuation at 220 nanometers

per meter
nm222_5

light attenuation at 222.5 nanometers

per meter
nm225

light attenuation at 225 nanometers

per meter
nm227_5

light attenuation at 227.5 nanometers

per meter
nm230

light attenuation at 230 nanometers

per meter
nm232_5

light attenuation at 232.5 nanometers

per meter
nm235

light attenuation at 235 nanometers

per meter
nm237_5

light attenuation at 237.5 nanometers

per meter
nm240

light attenuation at 240 nanometers

per meter
nm242_5

light attenuation at 242.5 nanometers

per meter
nm245

light attenuation at 245 nanometers

per meter
nm247_5

light attenuation at 247.5 nanometers

per meter
nm250

light attenuation at 250 nanometers

per meter
nm252_5

light attenuation at 252.5 nanometers

per meter
nm255

light attenuation at 255 nanometers

per meter
nm257_5

light attenuation at 257.5 nanometers

per meter
nm260

light attenuation at 260 nanometers

per meter
nm262_5

light attenuation at 262.5 nanometers

per meter
nm265

light attenuation at 265 nanometers

per meter
nm267_5

light attenuation at 267.5 nanometers

per meter
nm270

light attenuation at 270 nanometers

per meter
nm272_5

light attenuation at 272.5 nanometers

per meter
nm275

light attenuation at 275 nanometers

per meter
nm277_5

light attenuation at 277.5 nanometers

per meter
nm280

light attenuation at 280 nanometers

per meter
nm282_5

light attenuation at 282.5 nanometers

per meter
nm285

light attenuation at 285 nanometers

per meter
nm287_5

light attenuation at 287.5 nanometers

per meter
nm290

light attenuation at 290 nanometers

per meter
nm292_5

light attenuation at 292.5 nanometers

per meter
nm295

light attenuation at 295 nanometers

per meter
nm297_5

light attenuation at 297.5 nanometers

per meter
nm300

light attenuation at 300 nanometers

per meter
nm302_5

light attenuation at 302.5 nanometers

per meter
nm305

light attenuation at 305 nanometers

per meter
nm307_5

light attenuation at 307.5 nanometers

per meter
nm310

light attenuation at 310 nanometers

per meter
nm312_5

light attenuation at 312.5 nanometers

per meter
nm315

light attenuation at 315 nanometers

per meter
nm317_5

light attenuation at 317.5 nanometers

per meter
nm320

light attenuation at 320 nanometers

per meter
nm322_5

light attenuation at 322.5 nanometers

per meter
nm325

light attenuation at 325 nanometers

per meter
nm327_5

light attenuation at 327.5 nanometers

per meter
nm330

light attenuation at 330 nanometers

per meter
nm332_5

light attenuation at 332.5 nanometers

per meter
nm335

light attenuation at 335 nanometers

per meter
nm337_5

light attenuation at 337.5 nanometers

per meter
nm340

light attenuation at 340 nanometers

per meter
nm342_5

light attenuation at 342.5 nanometers

per meter
nm345

light attenuation at 345 nanometers

per meter
nm347_5

light attenuation at 347.5 nanometers

per meter
nm350

light attenuation at 350 nanometers

per meter
nm352_5

light attenuation at 352.5 nanometers

per meter
nm355

light attenuation at 355 nanometers

per meter
nm357_5

light attenuation at 357.5 nanometers

per meter
nm360

light attenuation at 360 nanometers

per meter
nm362_5

light attenuation at 362.5 nanometers

per meter
nm365

light attenuation at 365 nanometers

per meter
nm367_5

light attenuation at 367.5 nanometers

per meter
nm370

light attenuation at 370 nanometers

per meter
nm372_5

light attenuation at 372.5 nanometers

per meter
nm375

light attenuation at 375 nanometers

per meter
nm377_5

light attenuation at 377.5 nanometers

per meter
nm380

light attenuation at 380 nanometers

per meter
nm382_5

light attenuation at 382.5 nanometers

per meter
nm385

light attenuation at 385 nanometers

per meter
nm387_5

light attenuation at 387.5 nanometers

per meter
nm390

light attenuation at 390 nanometers

per meter
nm392_5

light attenuation at 392.5 nanometers

per meter
nm395

light attenuation at 395 nanometers

per meter
nm397_5

light attenuation at 397.5 nanometers

per meter
nm400

light attenuation at 400 nanometers

per meter
nm402_5

light attenuation at 402.5 nanometers

per meter
nm405

light attenuation at 405 nanometers

per meter
nm407_5

light attenuation at 407.5 nanometers

per meter
nm410

light attenuation at 410 nanometers

per meter
nm412_5

light attenuation at 412.5 nanometers

per meter
nm415

light attenuation at 415 nanometers

per meter
nm417_5

light attenuation at 417.5 nanometers

per meter
nm420

light attenuation at 420 nanometers

per meter
nm422_5

light attenuation at 422.5 nanometers

per meter
nm425

light attenuation at 425 nanometers

per meter
nm427_5

light attenuation at 427.5 nanometers

per meter
nm430

light attenuation at 430 nanometers

per meter
nm432_5

light attenuation at 432.5 nanometers

per meter
nm435

light attenuation at 435 nanometers

per meter
nm437_5

light attenuation at 437.5 nanometers

per meter
nm440

light attenuation at 440 nanometers

per meter
nm442_5

light attenuation at 442.5 nanometers

per meter
nm445

light attenuation at 445 nanometers

per meter
nm447_5

light attenuation at 447.5 nanometers

per meter
nm450

light attenuation at 450 nanometers

per meter
nm452_5

light attenuation at 452.5 nanometers

per meter
nm455

light attenuation at 455 nanometers

per meter
nm457_5

light attenuation at 457.5 nanometers

per meter
nm460

light attenuation at 460 nanometers

per meter
nm462_5

light attenuation at 462.5 nanometers

per meter
nm465

light attenuation at 465 nanometers

per meter
nm467_5

light attenuation at 467.5 nanometers

per meter
nm470

light attenuation at 470 nanometers

per meter
nm472_5

light attenuation at 472.5 nanometers

per meter
nm475

light attenuation at 475 nanometers

per meter
nm477_5

light attenuation at 477.5 nanometers

per meter
nm480

light attenuation at 480 nanometers

per meter
nm482_5

light attenuation at 482.5 nanometers

per meter
nm485

light attenuation at 485 nanometers

per meter
nm487_5

light attenuation at 487.5 nanometers

per meter
nm490

light attenuation at 490 nanometers

per meter
nm492_5

light attenuation at 492.5 nanometers

per meter
nm495

light attenuation at 495 nanometers

per meter
nm497_5

light attenuation at 497.5 nanometers

per meter
nm500

light attenuation at 500 nanometers

per meter
nm502_5

light attenuation at 502.5 nanometers

per meter
nm505

light attenuation at 505 nanometers

per meter
nm507_5

light attenuation at 507.5 nanometers

per meter
nm510

light attenuation at 510 nanometers

per meter
nm512_5

light attenuation at 512.5 nanometers

per meter
nm515

light attenuation at 515 nanometers

per meter
nm517_5

light attenuation at 517.5 nanometers

per meter
nm520

light attenuation at 520 nanometers

per meter
nm522_5

light attenuation at 522.5 nanometers

per meter
nm525

light attenuation at 525 nanometers

per meter
nm527_5

light attenuation at 527.5 nanometers

per meter
nm530

light attenuation at 530 nanometers

per meter
nm532_5

light attenuation at 532.5 nanometers

per meter
nm535

light attenuation at 535 nanometers

per meter
nm537_5

light attenuation at 537.5 nanometers

per meter
nm540

light attenuation at 540 nanometers

per meter
nm542_5

light attenuation at 542.5 nanometers

per meter
nm545

light attenuation at 545 nanometers

per meter
nm547_5

light attenuation at 547.5 nanometers

per meter
nm550

light attenuation at 550 nanometers

per meter
nm552_5

light attenuation at 552.5 nanometers

per meter
nm555

light attenuation at 555 nanometers

per meter
nm557_5

light attenuation at 557.5 nanometers

per meter
nm560

light attenuation at 560 nanometers

per meter
nm562_5

light attenuation at 562.5 nanometers

per meter
nm565

light attenuation at 565 nanometers

per meter
nm567_5

light attenuation at 567.5 nanometers

per meter
nm570

light attenuation at 570 nanometers

per meter
nm572_5

light attenuation at 572.5 nanometers

per meter
nm575

light attenuation at 575 nanometers

per meter
nm577_5

light attenuation at 577.5 nanometers

per meter
nm580

light attenuation at 580 nanometers

per meter
nm582_5

light attenuation at 582.5 nanometers

per meter
nm585

light attenuation at 585 nanometers

per meter
nm587_5

light attenuation at 587.5 nanometers

per meter
nm590

light attenuation at 590 nanometers

per meter
nm592_5

light attenuation at 592.5 nanometers

per meter
nm595

light attenuation at 595 nanometers

per meter
nm597_5

light attenuation at 597.5 nanometers

per meter
nm600

light attenuation at 600 nanometers

per meter
nm602_5

light attenuation at 602.5 nanometers

per meter
nm605

light attenuation at 605 nanometers

per meter
nm607_5

light attenuation at 607.5 nanometers

per meter
nm610

light attenuation at 610 nanometers

per meter
nm612_5

light attenuation at 612.5 nanometers

per meter
nm615

light attenuation at 615 nanometers

per meter
nm617_5

light attenuation at 617.5 nanometers

per meter
nm620

light attenuation at 620 nanometers

per meter
nm622_5

light attenuation at 622.5 nanometers

per meter
nm625

light attenuation at 625 nanometers

per meter
nm627_5

light attenuation at 627.5 nanometers

per meter
nm630

light attenuation at 630 nanometers

per meter
nm632_5

light attenuation at 632.5 nanometers

per meter
nm635

light attenuation at 635 nanometers

per meter
nm637_5

light attenuation at 637.5 nanometers

per meter
nm640

light attenuation at 640 nanometers

per meter
nm642_5

light attenuation at 642.5 nanometers

per meter
nm645

light attenuation at 645 nanometers

per meter
nm647_5

light attenuation at 647.5 nanometers

per meter
nm650

light attenuation at 650 nanometers

per meter
nm652_5

light attenuation at 652.5 nanometers

per meter
nm655

light attenuation at 655 nanometers

per meter
nm657_5

light attenuation at 657.5 nanometers

per meter
nm660

light attenuation at 660 nanometers

per meter
nm662_5

light attenuation at 662.5 nanometers

per meter
nm665

light attenuation at 665 nanometers

per meter
nm667_5

light attenuation at 667.5 nanometers

per meter
nm670

light attenuation at 670 nanometers

per meter
nm672_5

light attenuation at 672.5 nanometers

per meter
nm675

light attenuation at 675 nanometers

per meter
nm677_5

light attenuation at 677.5 nanometers

per meter
nm680

light attenuation at 680 nanometers

per meter
nm682_5

light attenuation at 682.5 nanometers

per meter
nm685

light attenuation at 685 nanometers

per meter
nm687_5

light attenuation at 687.5 nanometers

per meter
nm690

light attenuation at 690 nanometers

per meter
nm692_5

light attenuation at 692.5 nanometers

per meter
nm695

light attenuation at 695 nanometers

per meter
nm697_5

light attenuation at 697.5 nanometers

per meter
nm700

light attenuation at 700 nanometers

per meter
nm702_5

light attenuation at 702.5 nanometers

per meter
nm705

light attenuation at 705 nanometers

per meter
nm707_5

light attenuation at 707.5 nanometers

per meter
nm710

light attenuation at 710 nanometers

per meter
nm712_5

light attenuation at 712.5 nanometers

per meter
nm715

light attenuation at 715 nanometers

per meter
nm717_5

light attenuation at 717.5 nanometers

per meter
nm720

light attenuation at 720 nanometers

per meter
nm722_5

light attenuation at 722.5 nanometers

per meter
nm725

light attenuation at 725 nanometers

per meter
nm727_5

light attenuation at 727.5 nanometers

per meter
nm730

light attenuation at 730 nanometers

per meter
DOC_uM

Dissolved Organic Carbon

micro Mole (uM)
DBC_uM

Dissolved black carbon (DBC)

micro Mole (uM)
I8_mgper100mgOC_fresh_water

I8 estimate from 8 lignin phenols found in freshwater

units in milligrams lignin per 100 milligrams Organic Carbon
Lignin_sum8phenol_nM

Dissolved lignin sum8 phenol

nanomole (nM)
TDN_uM

total dissolved nitrogen (TDN)

micro Mole (uM)
NO3_NO2_ugNperL

Dissolved nutrients (NO3+NO2)

microgram Nitrogen per Liter (ugN/L)
NH4_ugNperL

Dissolved nutrients (NH4)

microgram Nitrogen per Liter (ugN/L)
PO4_ugPperL

Dissolved nutrients (PO4)

microgram Phosphorus per Liter (ugN/L)
SiO2_mgperL

Dissolved nutrients (SiO2)

miligram per Liter (mg/L)
WaterLevel_rel_to_MSL

water level relative to Mean Sea Level

meters
MicroCAT_Salinity

Water salinity

psu
YSI_Salinity

Water salinity

psu
Temp_C_MicroCAT

Water temperature

degrees Celsius
Temp_C_YSI

Water temperature

degrees Celsius
Flour_CDOM

Colored dissolved organic matter (CDOM fluorescence)

unitless
Time_Since_Cleaning

Time since cleaning

days
DO_mgperL_YSI

Dissolved oxygen

miligrams per liter (mg/L)
B6CA_uM

benzene polycarboxylic acids (B6CA)

microMole (uM)
B5CA_uM

benzene polycarboxylic acids (B5CA)

microMole (uM)
B4CA_uM

benzene polycarboxylic acids (B4CA)

microMole (uM)
BC124_B3CA_uM

benzene polycarboxylic acids (BC124 B3CA)

microMole (uM)
BC123_B3CA_uM

benzene polycarboxylic acids (BC123 B3CA)

microMole (uM)
B6CA_B5CA_nM

benzene polycarboxylic acids (B6CA B5CA)

microMole (uM)
SumS8_ngperL

sum S8

nanogram per Liter (ng/L)
SumS6_ngperL

sum S6

nanogram per Liter (ng/L)
I6_mgper100mg_OC_for_marine_water

I6 estimate from 6 lignin phenols found in marine water

milligrams lignin per 100 milligrams Organic Carbon
Manual_Salinity

Salinity

psu
time_point_type

type of observation (discrete or continuous)

unitless
lat

latitude north

decimal degrees
lon

longitude east

decimal degrees
depth

depth of samples

meters


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Instruments

Dataset-specific Instrument Name
microcat
Generic Instrument Name
CTD Sea-Bird MicroCAT 37
Dataset-specific Description
In situ temperature and salinity: microcat and YSI sondes
Generic Instrument Description
The Sea-Bird MicroCAT CTD unit is a high-accuracy conductivity and temperature recorder based on the Sea-Bird SBE 37 MicroCAT series of products. It can be configured with optional pressure sensor, internal batteries, memory, built-in Inductive Modem, integral Pump, and/or SBE-43 Integrated Dissolved Oxygen sensor. Constructed of titanium and other non-corroding materials for long life with minimal maintenance, the MicroCAT is designed for long duration on moorings. In a typical mooring, a modem module housed in the buoy communicates with underwater instruments and is interfaced to a computer or data logger via serial port. The computer or data logger is programmed to poll each instrument on the mooring for its data, and send the data to a telemetry transmitter (satellite link, cell phone, RF modem, etc.). The MicroCAT saves data in memory for upload after recovery, providing a data backup if real-time telemetry is interrupted.

Dataset-specific Instrument Name
S-CAN spectrolyzer
Generic Instrument Name
Spectrometer
Dataset-specific Description
In situ attenuation: S-CAN spectrolyzer.
Generic Instrument Description
A spectrometer is an optical instrument used to measure properties of light over a specific portion of the electromagnetic spectrum.

Dataset-specific Instrument Name
YSI sondes
Generic Instrument Name
YSI Sonde 6-Series
Dataset-specific Description
In situ temperature and salinity: microcat and YSI sondes. In situ CDOM fluorescence: YSI sonde
Generic Instrument Description
YSI 6-Series water quality sondes and sensors are instruments for environmental monitoring and long-term deployments. YSI datasondes accept multiple water quality sensors (i.e., they are multiparameter sondes). Sondes can measure temperature, conductivity, dissolved oxygen, depth, turbidity, and other water quality parameters. The 6-Series includes several models. More from YSI.


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Deployments

Groves_Creek_2013-2015

Website
Platform
Groves Creek - SkIO
Start Date
2013-07-26
End Date
2015-03-11
Description
Studies of temporal and compositional changes in exported material in a saltmarsh, both the quantity and quality of dissolved organic matter (DOM) and particulate organic matter (POM) exported from Groves Creek.


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Project Information

Collaborative Research: Marine priming effect - molecular mechanisms for the biomineralization of terrigenous dissolved organic matter in the ocean (Marine priming effect)


Description from NSF award abstract:
Large fluxes of apparently refractory terrigenous dissolved organic matter (t-DOM) are transported through rivers to the coast each year, yet there are vanishingly low traces of t-DOM in the oceans. The removal of t-DOM is central to the global carbon cycle, yet the mechanisms that drive removal remain poorly understood. In soils, the presence of labile organic compounds is known to enhance the remineralization of recalcitrant compounds, a phenomenon known as the priming effect (PE). The PE is quantitatively important in soil systems, but has received little attention in aquatic systems despite its potential to explain C mineralization patterns at the land-sea interface. This project investigates the magnitude of PE in the coastal ocean and the metabolic and ecological mechanisms that give rise to it. It focuses on the microbial communities of US Atlantic Ocean coastal marshes. In these systems, river-borne t-DOM provides a particularly valuable and tractable model for evaluating the magnitude of the PE. The study utilizes a well-characterized DOM standard collected from a Georgia river as the model t-DOM material in a series of laboratory experiments with natural coastal microbial communities and cultures of heterotrophic marine bacteria of the Roseobacter lineage. Roseobacters are particularly appropriate biological models for this work as they are abundant in southeastern US coastal zones and are known to catabolize lignin and other plant-derived aromatic compounds. Long-term (60 day) incubation experiments will track the PE resulting from addition of labile DOM of differing chemical complexity. Changes in lignin phenols will be the primary measure of the influence of PE on t-DOM degradation, but the research also monitors a broader suite of aromatic compounds represented by optical properties and identified by high-resolution mass spectrometry. Measurements of the microbial response to added labile organic matter, via extracellular enzyme activities, bacterial production, community composition and gene transcript analysis, will reveal the biological mechanisms responsible for the PE. Experiments using Roseobacter strains will allow detailed investigation of the relationship between metabolic pathways, specific bacteria, and organic carbon mineralization in a well-defined experimental system. Data on gene expression, microbial activity, and DOM transformations from the lab experiments will be integrated to elucidate the specific metabolic pathways invoked as part of the PE and guide development of molecular tools to track genetic signatures along a river to coastal ocean transect in the final year of the project.

The role of heterotrophic microorganisms in remineralizing t-DOM at the land-sea interface is a central question in biological oceanography. Components of t-DOM, principally lignin, are refractory in the sense that degradation rates are typically slow relative to other biomolecules, and yet lignin is effectively removed somewhere between land and the open ocean. The project will determine whether priming plays a role in the rapid removal of t-DOM in the coastal ocean, provide evidence for the types of labile organic matter most effective as priming agents, and attemp to discover the metabolic pathways by which the PE is mediated. These studies have the potential to reveal conserved and predictable metabolic responses that may contribute to regulation of the transformation and turnover of naturally occurring semi-labile/refractory DOM in marine environments. As climate change is likely to affect fluxes of both terrigenous carbon and nutrients to the coastal ocean, understanding the magnitude and mechanisms of PE will be necessary to predict the geochemical consequences of these changing fluxes.

This project is related to the project "Tempo and mode of salt marsh exchange" found at https://www.bco-dmo.org/project/564747.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)
NSF Division of Ocean Sciences (NSF OCE)

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