http://lod.bco-dmo.org/id/dataset/775547
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2019-08-16
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Barataria Bay carbon mineralization and biogeochemical properties from nine soil cores
2019-09-05
publication
2019-09-05
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-09-05
publication
https://doi.org/10.1575/1912/bco-dmo.775547.1
Lisa G. Chambers
University of Central Florida
principalInvestigator
Robert L. Cook
Louisiana State University
principalInvestigator
John R. White
Louisiana State University
principalInvestigator
Zuo Xue
Louisiana State University
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Chambers, L., Steinmuller, H., Dittmer, K., White, J., Cook, R., Xue, Z. (2019) Barataria Bay carbon mineralization and biogeochemical properties from nine soil cores. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-09-05 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.775547.1 [access date]
Barataria Bay carbon mineralization and biogeochemical properties from nine soil cores, 2017 Dataset Description: <p>Nine soil cores (1 m deep) were collected from three sites within Barataria Bay, LA (USA). Both the biogeochemical properties of the soils with depth were determined, as well as the impacts of the introduction of oxygenated seawater on carbon mineralization rates.</p> Methods and Sampling: <p>Moisture Content:<br />
Drying a subsample of soil using a gravimetric oven at 70 °C after 3 days or until a constant weight was achieved. Dried soils were ground using a SPEX Sample Prep 8000M Mixer/Mill (Metuchen, NJ).</p>
<p>Bulk Density:<br />
Drying a subsample of soil using a gravimetric oven at 70 °C after 3 days or until a constant weight was achieved. Dried soils were ground using a SPEX Sample Prep 8000M Mixer/Mill (Metuchen, NJ).</p>
<p>pH:<br />
Soil pH was determined by creating a 1:5 slurry of soil to distilled, deionized water, and sub- sequent measurement using an Accument bench top pH probe (Accumet XL200, ThermoFisher Scientific, Waltham, MA, USA).</p>
<p>Total Carbon:<br />
Total Carbon content was determined by use of a Vario Micro Cube CHNS Analyzer on dried, ground subsamples.</p>
<p>Total Nitrogen:<br />
Total Nitrogen content was determined by use of a Vario Micro Cube CHNS Analyzer on dried, ground subsamples.</p>
<p>Total Phosphorus:<br />
Dried, ground sub- samples were used to determine percent organic matter using the loss- on-ignition method, where soils were burned at 550°C in a muffle furnace for a total of 3 h, then soils were digested with 50 mL of 1 N HCl at 100 °C for 30 min, and filtered through Whatman #41 filter paper for total P analysis (Andersen, 1976). Total P content was then determined colorimetrically via an AQ2 Automated Discrete Analyzer (Seal Analytical, Mequon, WI) in accordance with EPA method 365.1 Rev. 2.</p>
<p>Organic Matter Content:<br />
Dried, ground sub- samples were used to determine percent organic matter using the loss- on-ignition method, where soils were burned at 550°C in a muffle furnace for a total of 3 h.</p>
<p>Extractable Dissolved Organic Carbon:<br />
1 g dry weight of field-moist soil were weighed into 40 mL centrifuge tubes and extracted with 25 mL of 0.5 M K2SO4, placed in an orbital shaker for 1 h at 25 °C and 150 rpm then immediately centrifuged for 10 min at 10 °C and 5000 rpm. The supernatant was vacuum filtered through Supor 0.45 μM filters, acidified with double distilled H2SO4 for preservation, and stored at 4 °C until analysis. Dissolved organic carbon (DOC) was determined by use of a Shimadzu TOC-L Analyzer (Kyoto, Japan).</p>
<p>Extractable Nitrate:<br />
2.5 g of wet soil (both from the field and from the bottle incubation) into 40 mL centrifuge tubes and adding 25 mL of 2 M KCl. Samples were then shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm, then centrifuged for 10 min at 10 °C and 5000 rpm. Following the centrifuge, samples were immediately filtered through Supor 0.45 μM filters and acidified with double distilled H2SO4 to a pH of &lt; 2 for preservation. Extractable nutrients samples were then analyzed using an AQ2 Automated Discrete Analyzer (Seal Analytical, Mequon, WI, EPA methods 231-A Rev.0, 210-A Rev.1, and 204-A Rev.0).</p>
<p>Extractable Ammonium:<br />
2.5 g of wet soil (both from the field and from the bottle incubation) into 40 mL centrifuge tubes and adding 25 mL of 2 M KCl. Samples were then shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm, then centrifuged for 10 min at 10 °C and 5000 rpm. Following the centrifuge, samples were immediately filtered through Supor 0.45 μM filters and acidified with double distilled H2SO4 to a pH of &lt; 2 for preservation. Extractable nutrients samples were then analyzed using an AQ2 Automated Discrete Analyzer (Seal Analytical, Mequon, WI, EPA methods 231-A Rev.0, 210-A Rev.1, and 204-A Rev.0).</p>
<p>Extractable Soluble Reactive Phosphorus:<br />
2.5 g of wet soil (both from the field and from the bottle incubation) into 40 mL centrifuge tubes and adding 25 mL of 2 M KCl. Samples were then shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm, then centrifuged for 10 min at 10 °C and 5000 rpm. Following the centrifuge, samples were immediately filtered through Supor 0.45 μM filters and acidified with double distilled H2SO4 to a pH of &lt; 2 for preservation. Extractable nutrients samples were then analyzed using an AQ2 Automated Discrete Analyzer (Seal Analytical, Mequon, WI, EPA methods 231-A Rev.0, 210-A Rev.1, and 204-A Rev.0).</p>
<p>Microbial Biomass Carbon:<br />
Microbial biomass C (MBC) was determined on soils both immediately after the field sampling and soils from the bottles after the incubation period following the method outlined in Vance et al. (1987). Duplicates of approximately 1 g dry weight of field-moist soil were weighed into 40 mL centrifuge tubes and assigned to either a fumigate or non-fumigate treatment. The fumigated samples were exposed to gaseous chloroform for 24 h in a glass desiccator. After 24 h, the sam- ples were extracted with 25 mL of 0.5 M K2SO4, placed in an orbital shaker for 1 h at 25 °C and 150 rpm. After incubation, samples were immediately centrifuged for 10 min at 10 °C and 5000 rpm. The supernatant was vacuum filtered through Supor 0.45 μM filters, acidified with double distilled H2SO4 for preservation, and stored at 4 °C until analysis. Non-fumigate samples were processed in the same manner, excluding the chloroform fumigation. Dissolved organic carbon (DOC) was determined by use of a Shimadzu TOC-L Analyzer (Kyoto, Japan). Microbial biomass C was calculated as the difference between the fumigated samples and the non-fumigated samples.</p>
<p>B-glucosidase activity:<br />
Assays were conducted using fluorescent substrate 4‐ methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g of soil was added to 39 mL of autoclaved distilled deionized water and shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm. Fluor- escence was measured at excitation/emission wavelengths 360/460 on a BioTek Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately after substrate and sample were added, and 24 h later to determine a rate of enzyme activity.</p>
<p>N‐acetyl‐beta‐D‐glucosaminidase activity:<br />
Assays were conducted using fluorescent substrate 4‐ methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g of soil was added to 39 mL of autoclaved distilled deionized water and shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm. Fluor- escence was measured at excitation/emission wavelengths 360/460 on a BioTek Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately after substrate and sample were added, and 24 h later to determine a rate of enzyme activity.</p>
<p>Alkaline phosphatase activity:<br />
Assays were conducted using fluorescent substrate 4‐ methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g of soil was added to 39 mL of autoclaved distilled deionized water and shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm. Fluor- escence was measured at excitation/emission wavelengths 360/460 on a BioTek Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately after substrate and sample were added, and 24 h later to determine a rate of enzyme activity.</p>
<p>Xylosidase activity:<br />
Assays were conducted using fluorescent substrate 4‐ methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g of soil was added to 39 mL of autoclaved distilled deionized water and shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm. Fluor- escence was measured at excitation/emission wavelengths 360/460 on a BioTek Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately after substrate and sample were added, and 24 h later to determine a rate of enzyme activity.</p>
<p>Cellobiosidase activity:<br />
Assays were conducted using fluorescent substrate 4‐ methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g of soil was added to 39 mL of autoclaved distilled deionized water and shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm. Fluor- escence was measured at excitation/emission wavelengths 360/460 on a BioTek Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately after substrate and sample were added, and 24 h later to determine a rate of enzyme activity.</p>
<p>Rate of carbon dioxide production (potential):<br />
Duplicate subsamples (approximately 7 g) from each depth segment of each core were weighed into 100 mL glass serum bottles, capped with a rubber septa and aluminum crimp and evacuated to −75 mm Hg. Replicate bottles were randomly assigned to one of two treatments: anaerobic (purged with 99% O2-free N2 gas for 3 min), or aerobic (purged with Breathing Grade air containing 21% O2 for 3 min). Anaerobic bottles were injected with 14 mL of filtered, N2-purged site water, while aerobic bottles were injected with 14 mL of filtered, breathing air-purged site water. Bottles were then placed on an orbital shaker at 150 rpm and 25 °C. Headspace samples were taken at 1, 2, 4, 7, 10, and 14 day time points, and injected into a GC-2014 gas chromatograph (Shimadzu Instrument, Kyoto, Japan) equipped with a flame ionization detector. Respiration rates were calculated as the change in CO2 production over time. After each gas sample was extracted from the bottles' headspace, the bottle was purged with either 99% O2- free N2 gas or Breathing Grade air for 3 min, depending on treatment.</p>
<p>Rate of nitrate mineralization (potential):<br />
Following the 14 day incubation, bottles were uncapped, and the remaining soil sample was placed in a 20 mL HDPE scintillation vials</p>
<p>Rate of ammonium mineralization (potential):<br />
for analysis of extractable ammonium (NH4+), nitrate (NO3−), and soluble reactive phosphorus (SRP), microbial biomass C, and enzyme analysis.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1635837 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1635837
completed
Lisa G. Chambers
University of Central Florida
407-823-2922
4000 Central Florida Blvd. Bldg. 20, BIO 301
Orlando
FL
32816
USA
lisa.chambers@ucf.edu
pointOfContact
Robert L. Cook
Louisiana State University
225-578-2980
Department of Chemistry 232 Choppin Hall
Baton Rouge
LA
70803
USA
rlcook@lsu.edu
pointOfContact
John R. White
Louisiana State University
225-578-8792
3239 Energy, Coast & Environment Bldg
Baton Rouge
LA
70803
USA
jrwhite@lsu.edu
pointOfContact
Zuo Xue
Louisiana State University
225-578-2760
3239 Energy, Coast & Environment Bldg
Baton Rouge
LA
70803
USA
zxue@lsu.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
site_id
replicate
depth
nag_aerob
ap_aerob
bg_aerob
xy_aerob
cb_aerob
extractable_nitrate_aerob
extractable_ammonium_aerob
extractable_srp_aerob
microbial_biomass_carbon_aerob
potentially_mineralizable_nitrate_aerob
potentially_mineralizable_ammonium_aerob
carbon_dioxide_rate_aerob
nag_anaerob
ap_anaerob
bg_anaerob
xy_anaerob
cb_anaerob
extractable_nitrate_anaerob
extractable_ammonium_anaerob
extractable_srp_anaerob
microbial_biomass_carbon_anaerob
potentially_mineralizable_nitrate_anaerob
potentially_mineralizable_ammonium_anaerob
carbon_dioxide_rate_anaerob
lat
lon
moisture_content_pcnt_field
bulk_density_g_cm_3_field
ph_field
pcnt_organic_matter_field
total_n_g_kg_field
total_c_g_kg_field
total_n_g_cm_3_field
total_c_g_cm_3_field
total_p_mg_kg_field
nag_field
ap_field
bg_field
xy_field
cb_field
extractable_doc_field
extractable_nitrate_field
extractable_ammonium_field
extractable_srp_field
microbial_biomass_c_field
Vario Micro Cube CHNS Analyzer
GC-2014 gas chromatograph
Accument bench top pH probe
Shimadzu TOC-L Analyzer
AQ2 Automated Discrete Analyzer
theme
None, User defined
site
replicate
depth core
No BCO-DMO term
Nitrate
Ammonium
SRP
biomass carbon
latitude
longitude
pH
Nitrogen
Elemental carbon (C)
Phosphorus
dissolved organic Carbon
featureType
BCO-DMO Standard Parameters
CHN Elemental Analyzer
Gas Chromatograph
Benchtop pH Meter
Shimadzu TOC-L Analyzer
Discrete Analyzer
instrument
BCO-DMO Standard Instruments
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Fate of Coastal Wetland Carbon Under Increasing Sea Level Rise: Using the Subsiding Louisiana Coast as a Proxy for Future World-Wide Sea Level Projections
https://www.bco-dmo.org/project/670520
Fate of Coastal Wetland Carbon Under Increasing Sea Level Rise: Using the Subsiding Louisiana Coast as a Proxy for Future World-Wide Sea Level Projections
<p><em>Description from NSF award abstract:</em><br />
Coastal Louisiana is currently experiencing net sea level rise at rates higher than most of the world's coastlines and within the global range predicted to occur in the next 65 - 85 years, making Louisiana an ideal site to study potential future impacts of rising sea level on coastal systems. This project will use field collection and controlled tank experiments to study the changing organic carbon cycle resulting from erosion of marsh soils along with its impact on associated biogeochemical processes. The hypothesis tested in this study is that the majority of eroded soil organic carbon is converted to carbon dioxide (CO2) and released to the atmosphere, representing an addition to the anthropogenic input of CO2. This process has not been quantified and could be an important missing component in predictive models of atmospheric CO2 changes. While this process may be of only regional importance today in comparison to other sources of CO2, this study of the Louisiana coast will greatly enhance our full understanding of the potential impacts on the global carbon cycle that may result from coastal erosion as global sea level continues to rise.</p>
<p>The project will train graduate and undergraduate students in interdisciplinary research involving marine and wetland biogeochemistry, microbiology, and ecological modeling. It will also fund development of an interactive, educational display on the loss of coastal wetlands for the Louisiana Sea Grant's annual Ocean Commotion educational event attended by area middle and high school students, teachers, and parents. Results from this study may also inform community planners both regionally and worldwide as they prepare for sea level rise in coastal communities.</p>
<p>Eustatic sea level rise and regional subsidence have created a much greater rate of coastline loss in Louisiana than is being experienced in most of the world's coastal regions, reaching global rates that are predicted to occur worldwide in 65 - 85 years. This provides a unique potential to extrapolate data from Louisiana's changing coastal carbon cycle to both regional and global models of the future impact of sea level rise and coastal erosion. By quantifying and modeling the importance of CO2 emissions resulting directly from mineralized soil organic matter from eroding coastlines, a missing element can be added to climate change models. The PIs here plan to investigate the fate of the coastal wetland carbon pool as it erodes using field sampling, laboratory analysis, mesocosm manipulations, and the creation of a coupled physical-biogeochemical model for the basin being studied. Beyond quantifying increased CO2 emission, the PIs will also address the potential for increased eutrophication due to input of nutrients from eroded soils, as well as the potential for future contribution to existing hypoxic zones in the northern Gulf of Mexico that result from excessive nutrient input from the Mississippi River watershed.</p>
Submerged Wetland Carbon
largerWorkCitation
project
eng; USA
oceans
-89.9026
-89.8998
29.4414
29.4436
2019-09-05
Coastal Lousiana
0
BCO-DMO catalogue of parameters from Barataria Bay carbon mineralization and biogeochemical properties from nine soil cores
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/775550.rdf
Name: site_id
Units: unitless
Description: site identifier
http://lod.bco-dmo.org/id/dataset-parameter/775551.rdf
Name: replicate
Units: unitless
Description: replicate identifier
http://lod.bco-dmo.org/id/dataset-parameter/775552.rdf
Name: depth
Units: centimeters (cm)
Description: depth in core
http://lod.bco-dmo.org/id/dataset-parameter/775553.rdf
Name: nag_aerob
Units: nmol MUF g−1 min−1
Description: N‐acetyl‐beta‐D‐glucosaminidase activity under aerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775554.rdf
Name: ap_aerob
Units: nmol MUF g−1 min−1
Description: Alkaline phosphatase activity under aerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775555.rdf
Name: bg_aerob
Units: nmol MUF g−1 min−1
Description: B-glucosidase activity under aerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775556.rdf
Name: xy_aerob
Units: nmol MUF g−1 min−1
Description: Xylosidase activity under aerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775557.rdf
Name: cb_aerob
Units: nmol MUF g−1 min−1
Description: Cellobiosidase activity under aerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775558.rdf
Name: extractable_nitrate_aerob
Units: mg kg-1
Description: Extractable Nitrate under aerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775559.rdf
Name: extractable_ammonium_aerob
Units: mg kg-1
Description: Extractable Ammonium under aerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775560.rdf
Name: extractable_srp_aerob
Units: mg kg-1
Description: Extractable Soluble Reactive Phosphorus under aerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775561.rdf
Name: microbial_biomass_carbon_aerob
Units: mg kg-1
Description: Microbial Biomass Carbon under aerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775562.rdf
Name: potentially_mineralizable_nitrate_aerob
Units: mg NH4+ kg -1 d−1
Description: Rate of nitrate mineralization (potential) under aerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775563.rdf
Name: potentially_mineralizable_ammonium_aerob
Units: mg NH4+ kg -1 d−1
Description: Rate of ammonium mineralization (potential) under aerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775564.rdf
Name: carbon_dioxide_rate_aerob
Units: mg CO2-C kg−1 h−1
Description: Rate of carbon dioxide production (potential) under aerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775565.rdf
Name: nag_anaerob
Units: nmol MUF g−1 min−1
Description: N‐acetyl‐beta‐D‐glucosaminidase activity under anaerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775566.rdf
Name: ap_anaerob
Units: nmol MUF g−1 min−1
Description: Alkaline phosphatase activity under anaerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775567.rdf
Name: bg_anaerob
Units: nmol MUF g−1 min−1
Description: B-glucosidase activity under anaerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775568.rdf
Name: xy_anaerob
Units: nmol MUF g−1 min−1
Description: Xylosidase activity under anaerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775569.rdf
Name: cb_anaerob
Units: nmol MUF g−1 min−1
Description: Cellobiosidase activity under anaerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775570.rdf
Name: extractable_nitrate_anaerob
Units: mg kg-1
Description: Extractable Nitrate under anaerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775571.rdf
Name: extractable_ammonium_anaerob
Units: mg kg-1
Description: Extractable Ammonium under anaerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775572.rdf
Name: extractable_srp_anaerob
Units: mg kg-1
Description: Extractable Soluble Reactive Phosphorus under anaerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775573.rdf
Name: microbial_biomass_carbon_anaerob
Units: mg kg-1
Description: Microbial Biomass Carbon under anaerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775574.rdf
Name: potentially_mineralizable_nitrate_anaerob
Units: mg NH4+ kg -1 d−1
Description: Rate of nitrate mineralization (potential) under anaerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775575.rdf
Name: potentially_mineralizable_ammonium_anaerob
Units: mg NH4+ kg -1 d−1
Description: Rate of ammonium mineralization (potential) under aerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775576.rdf
Name: carbon_dioxide_rate_anaerob
Units: mg CO2-C kg−1 h−1
Description: Rate of carbon dioxide production (potential) under anaerobic conditions
http://lod.bco-dmo.org/id/dataset-parameter/775577.rdf
Name: lat
Units: decimal degrees
Description: Latitude of observations with positive values indicating North
http://lod.bco-dmo.org/id/dataset-parameter/775578.rdf
Name: lon
Units: decimal degrees
Description: Longitude of observations with negative values indicating West
http://lod.bco-dmo.org/id/dataset-parameter/775579.rdf
Name: moisture_content_pcnt_field
Units: precent
Description: percent moisture content
http://lod.bco-dmo.org/id/dataset-parameter/775580.rdf
Name: bulk_density_g_cm_3_field
Units: g cm-3
Description: bulk density
http://lod.bco-dmo.org/id/dataset-parameter/775581.rdf
Name: ph_field
Units: pH scale
Description: pH
http://lod.bco-dmo.org/id/dataset-parameter/775582.rdf
Name: pcnt_organic_matter_field
Units: percent
Description: Organic matter content
http://lod.bco-dmo.org/id/dataset-parameter/775583.rdf
Name: total_n_g_kg_field
Units: g kg-1
Description: Total Nitrogen
http://lod.bco-dmo.org/id/dataset-parameter/775584.rdf
Name: total_c_g_kg_field
Units: g kg-1
Description: Total Carbon
http://lod.bco-dmo.org/id/dataset-parameter/775585.rdf
Name: total_n_g_cm_3_field
Units: g cm-3
Description: Total Nitrogen
http://lod.bco-dmo.org/id/dataset-parameter/775586.rdf
Name: total_c_g_cm_3_field
Units: g cm-3
Description: Total Carbon
http://lod.bco-dmo.org/id/dataset-parameter/775587.rdf
Name: total_p_mg_kg_field
Units: mg kg-1
Description: Total Phosphorus
http://lod.bco-dmo.org/id/dataset-parameter/775588.rdf
Name: nag_field
Units: nmol MUF g−1 min−1
Description: N‐acetyl‐beta‐D‐glucosaminidase activity in the field
http://lod.bco-dmo.org/id/dataset-parameter/775589.rdf
Name: ap_field
Units: nmol MUF g−1 min−1
Description: Alkaline phosphatase activity in the field
http://lod.bco-dmo.org/id/dataset-parameter/775590.rdf
Name: bg_field
Units: nmol MUF g−1 min−1
Description: B-glucosidase activity in the field
http://lod.bco-dmo.org/id/dataset-parameter/775591.rdf
Name: xy_field
Units: nmol MUF g−1 min−1
Description: Xylosidase activity in the field
http://lod.bco-dmo.org/id/dataset-parameter/775592.rdf
Name: cb_field
Units: nmol MUF g−1 min−1
Description: Cellobiosidase activity in the field
http://lod.bco-dmo.org/id/dataset-parameter/775593.rdf
Name: extractable_doc_field
Units: mg kg-1
Description: Extractable Dissolved Organic Carbon in the field
http://lod.bco-dmo.org/id/dataset-parameter/775594.rdf
Name: extractable_nitrate_field
Units: mg kg-1
Description: Extractable Nitrate in the field
http://lod.bco-dmo.org/id/dataset-parameter/775595.rdf
Name: extractable_ammonium_field
Units: mg kg-1
Description: Extractable Ammonium in the field
http://lod.bco-dmo.org/id/dataset-parameter/775596.rdf
Name: extractable_srp_field
Units: mg kg-1
Description: Extractable Soluble Reactive Phosphorus in the field
http://lod.bco-dmo.org/id/dataset-parameter/775597.rdf
Name: microbial_biomass_c_field
Units: mg kg-1
Description: Microbial Biomass Carbon in the field
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
37795
https://darchive.mblwhoilibrary.org/bitstream/1912/24510/1/dataset-775547_carbon-mineralization__v1.tsv
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https://doi.org/10.1575/1912/bco-dmo.775547.1
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dataset
<p>Moisture Content:<br />
Drying a subsample of soil using a gravimetric oven at 70 °C after 3 days or until a constant weight was achieved. Dried soils were ground using a SPEX Sample Prep 8000M Mixer/Mill (Metuchen, NJ).</p>
<p>Bulk Density:<br />
Drying a subsample of soil using a gravimetric oven at 70 °C after 3 days or until a constant weight was achieved. Dried soils were ground using a SPEX Sample Prep 8000M Mixer/Mill (Metuchen, NJ).</p>
<p>pH:<br />
Soil pH was determined by creating a 1:5 slurry of soil to distilled, deionized water, and sub- sequent measurement using an Accument bench top pH probe (Accumet XL200, ThermoFisher Scientific, Waltham, MA, USA).</p>
<p>Total Carbon:<br />
Total Carbon content was determined by use of a Vario Micro Cube CHNS Analyzer on dried, ground subsamples.</p>
<p>Total Nitrogen:<br />
Total Nitrogen content was determined by use of a Vario Micro Cube CHNS Analyzer on dried, ground subsamples.</p>
<p>Total Phosphorus:<br />
Dried, ground sub- samples were used to determine percent organic matter using the loss- on-ignition method, where soils were burned at 550°C in a muffle furnace for a total of 3 h, then soils were digested with 50 mL of 1 N HCl at 100 °C for 30 min, and filtered through Whatman #41 filter paper for total P analysis (Andersen, 1976). Total P content was then determined colorimetrically via an AQ2 Automated Discrete Analyzer (Seal Analytical, Mequon, WI) in accordance with EPA method 365.1 Rev. 2.</p>
<p>Organic Matter Content:<br />
Dried, ground sub- samples were used to determine percent organic matter using the loss- on-ignition method, where soils were burned at 550°C in a muffle furnace for a total of 3 h.</p>
<p>Extractable Dissolved Organic Carbon:<br />
1 g dry weight of field-moist soil were weighed into 40 mL centrifuge tubes and extracted with 25 mL of 0.5 M K2SO4, placed in an orbital shaker for 1 h at 25 °C and 150 rpm then immediately centrifuged for 10 min at 10 °C and 5000 rpm. The supernatant was vacuum filtered through Supor 0.45 μM filters, acidified with double distilled H2SO4 for preservation, and stored at 4 °C until analysis. Dissolved organic carbon (DOC) was determined by use of a Shimadzu TOC-L Analyzer (Kyoto, Japan).</p>
<p>Extractable Nitrate:<br />
2.5 g of wet soil (both from the field and from the bottle incubation) into 40 mL centrifuge tubes and adding 25 mL of 2 M KCl. Samples were then shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm, then centrifuged for 10 min at 10 °C and 5000 rpm. Following the centrifuge, samples were immediately filtered through Supor 0.45 μM filters and acidified with double distilled H2SO4 to a pH of &lt; 2 for preservation. Extractable nutrients samples were then analyzed using an AQ2 Automated Discrete Analyzer (Seal Analytical, Mequon, WI, EPA methods 231-A Rev.0, 210-A Rev.1, and 204-A Rev.0).</p>
<p>Extractable Ammonium:<br />
2.5 g of wet soil (both from the field and from the bottle incubation) into 40 mL centrifuge tubes and adding 25 mL of 2 M KCl. Samples were then shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm, then centrifuged for 10 min at 10 °C and 5000 rpm. Following the centrifuge, samples were immediately filtered through Supor 0.45 μM filters and acidified with double distilled H2SO4 to a pH of &lt; 2 for preservation. Extractable nutrients samples were then analyzed using an AQ2 Automated Discrete Analyzer (Seal Analytical, Mequon, WI, EPA methods 231-A Rev.0, 210-A Rev.1, and 204-A Rev.0).</p>
<p>Extractable Soluble Reactive Phosphorus:<br />
2.5 g of wet soil (both from the field and from the bottle incubation) into 40 mL centrifuge tubes and adding 25 mL of 2 M KCl. Samples were then shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm, then centrifuged for 10 min at 10 °C and 5000 rpm. Following the centrifuge, samples were immediately filtered through Supor 0.45 μM filters and acidified with double distilled H2SO4 to a pH of &lt; 2 for preservation. Extractable nutrients samples were then analyzed using an AQ2 Automated Discrete Analyzer (Seal Analytical, Mequon, WI, EPA methods 231-A Rev.0, 210-A Rev.1, and 204-A Rev.0).</p>
<p>Microbial Biomass Carbon:<br />
Microbial biomass C (MBC) was determined on soils both immediately after the field sampling and soils from the bottles after the incubation period following the method outlined in Vance et al. (1987). Duplicates of approximately 1 g dry weight of field-moist soil were weighed into 40 mL centrifuge tubes and assigned to either a fumigate or non-fumigate treatment. The fumigated samples were exposed to gaseous chloroform for 24 h in a glass desiccator. After 24 h, the sam- ples were extracted with 25 mL of 0.5 M K2SO4, placed in an orbital shaker for 1 h at 25 °C and 150 rpm. After incubation, samples were immediately centrifuged for 10 min at 10 °C and 5000 rpm. The supernatant was vacuum filtered through Supor 0.45 μM filters, acidified with double distilled H2SO4 for preservation, and stored at 4 °C until analysis. Non-fumigate samples were processed in the same manner, excluding the chloroform fumigation. Dissolved organic carbon (DOC) was determined by use of a Shimadzu TOC-L Analyzer (Kyoto, Japan). Microbial biomass C was calculated as the difference between the fumigated samples and the non-fumigated samples.</p>
<p>B-glucosidase activity:<br />
Assays were conducted using fluorescent substrate 4‐ methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g of soil was added to 39 mL of autoclaved distilled deionized water and shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm. Fluor- escence was measured at excitation/emission wavelengths 360/460 on a BioTek Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately after substrate and sample were added, and 24 h later to determine a rate of enzyme activity.</p>
<p>N‐acetyl‐beta‐D‐glucosaminidase activity:<br />
Assays were conducted using fluorescent substrate 4‐ methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g of soil was added to 39 mL of autoclaved distilled deionized water and shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm. Fluor- escence was measured at excitation/emission wavelengths 360/460 on a BioTek Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately after substrate and sample were added, and 24 h later to determine a rate of enzyme activity.</p>
<p>Alkaline phosphatase activity:<br />
Assays were conducted using fluorescent substrate 4‐ methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g of soil was added to 39 mL of autoclaved distilled deionized water and shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm. Fluor- escence was measured at excitation/emission wavelengths 360/460 on a BioTek Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately after substrate and sample were added, and 24 h later to determine a rate of enzyme activity.</p>
<p>Xylosidase activity:<br />
Assays were conducted using fluorescent substrate 4‐ methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g of soil was added to 39 mL of autoclaved distilled deionized water and shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm. Fluor- escence was measured at excitation/emission wavelengths 360/460 on a BioTek Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately after substrate and sample were added, and 24 h later to determine a rate of enzyme activity.</p>
<p>Cellobiosidase activity:<br />
Assays were conducted using fluorescent substrate 4‐ methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g of soil was added to 39 mL of autoclaved distilled deionized water and shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm. Fluor- escence was measured at excitation/emission wavelengths 360/460 on a BioTek Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately after substrate and sample were added, and 24 h later to determine a rate of enzyme activity.</p>
<p>Rate of carbon dioxide production (potential):<br />
Duplicate subsamples (approximately 7 g) from each depth segment of each core were weighed into 100 mL glass serum bottles, capped with a rubber septa and aluminum crimp and evacuated to −75 mm Hg. Replicate bottles were randomly assigned to one of two treatments: anaerobic (purged with 99% O2-free N2 gas for 3 min), or aerobic (purged with Breathing Grade air containing 21% O2 for 3 min). Anaerobic bottles were injected with 14 mL of filtered, N2-purged site water, while aerobic bottles were injected with 14 mL of filtered, breathing air-purged site water. Bottles were then placed on an orbital shaker at 150 rpm and 25 °C. Headspace samples were taken at 1, 2, 4, 7, 10, and 14 day time points, and injected into a GC-2014 gas chromatograph (Shimadzu Instrument, Kyoto, Japan) equipped with a flame ionization detector. Respiration rates were calculated as the change in CO2 production over time. After each gas sample was extracted from the bottles' headspace, the bottle was purged with either 99% O2- free N2 gas or Breathing Grade air for 3 min, depending on treatment.</p>
<p>Rate of nitrate mineralization (potential):<br />
Following the 14 day incubation, bottles were uncapped, and the remaining soil sample was placed in a 20 mL HDPE scintillation vials</p>
<p>Rate of ammonium mineralization (potential):<br />
for analysis of extractable ammonium (NH4+), nitrate (NO3−), and soluble reactive phosphorus (SRP), microbial biomass C, and enzyme analysis.</p>
Specified by the Principal Investigator(s)
<p>All statistical analysis was performed using R (R Foundation for Statistical Computing, Vienna, Austria) within RStudio (RStudio Team, 2015). Prior to determining significance, all parameters were analyzed for homogeneity of variance using Levene's test, and assumptions of normality using the Shapiro-Wilk test. If datasets were not normal, they were transformed using a logarithmic transformation to meet the as- sumptions of normality.</p>
<p>Data was separated into field characteristics (before the incuba- tion), and experimental results (following the incubation). Field characteristics were analyzed using a linear mixed-effect model in R with site and depth as predictor variables. ‘Core’ was included as a random effect to test for effects of replicate cores taken at each site. Post-hoc tests were conducted using package lsmeans via the Tukey method. Pearson product-moment correlations were also performed between all field characteristics. Significance was determined based on an alpha value of 0.05 for all tests, and adjusted&nbsp;with a Bonferroni correction to 0.004.</p>
<p>Experimental results were analyzed via a linear mixed-effect model in R with treatment, depth, the interaction between treatment and depth, and site as predictor variables. Core was again included as a random effect. The lsmeans package was used to determine post-hoc significance based on the Tukey method. Significance was determined based on an alpha value modified by a Bonferroni correction to 0.004.</p>
<p>BCO-DMO Processing Notes:<br />
-&nbsp;added conventional header with dataset name, PI name, version date<br />
- modified parameter names to conform with BCO-DMO naming conventions<br />
- combined the submitted datasheets for anaerobic, aerobic, and field results into one dataset using the site_id, replicate, and depth as a joining key.</p>
<p>&nbsp;</p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
Vario Micro Cube CHNS Analyzer
Vario Micro Cube CHNS Analyzer
PI Supplied Instrument Name: Vario Micro Cube CHNS Analyzer PI Supplied Instrument Description:Total Carbon content was determined by use of a Vario Micro Cube CHNS Analyzer on dried, ground subsamples. Total Nitrogen content was determined by use of a Vario Micro Cube CHNS Analyzer on dried, ground subsamples. Instrument Name: CHN Elemental Analyzer Instrument Short Name:CHN_EA Instrument Description: A CHN Elemental Analyzer is used for the determination of carbon, hydrogen, and nitrogen content in organic and other types of materials, including solids, liquids, volatile, and viscous samples.
GC-2014 gas chromatograph
GC-2014 gas chromatograph
PI Supplied Instrument Name: GC-2014 gas chromatograph PI Supplied Instrument Description:Headspace samples were taken at 1, 2, 4, 7, 10, and 14 day time points, and injected into a GC-2014 gas chromatograph (Shimadzu Instrument, Kyoto, Japan) equipped with a flame ionization detector. Instrument Name: Gas Chromatograph Instrument Short Name:Gas Chromatograph Instrument Description: Instrument separating gases, volatile substances, or substances dissolved in a volatile solvent by transporting an inert gas through a column packed with a sorbent to a detector for assay. (from SeaDataNet, BODC) Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB02/
Accument bench top pH probe
Accument bench top pH probe
PI Supplied Instrument Name: Accument bench top pH probe PI Supplied Instrument Description:Soil pH was determined by creating a 1:5 slurry of soil to distilled, deionized water, and sub- sequent measurement using an Accument bench top pH probe (Accumet XL200, ThermoFisher Scientific, Waltham, MA, USA). Instrument Name: Benchtop pH Meter Instrument Short Name:Benchtop pH Meter Instrument Description: An instrument consisting of an electronic voltmeter and pH-responsive electrode that gives a direct conversion of voltage differences to differences of pH at the measurement temperature. (McGraw-Hill Dictionary of Scientific and Technical Terms)
This instrument does not map to the NERC instrument vocabulary term for 'pH Sensor' which measures values in the water column. Benchtop models are typically employed for stationary lab applications.
Shimadzu TOC-L Analyzer
Shimadzu TOC-L Analyzer
PI Supplied Instrument Name: Shimadzu TOC-L Analyzer PI Supplied Instrument Description:Dissolved organic carbon (DOC) was determined by use of a Shimadzu TOC-L Analyzer (Kyoto, Japan). Instrument Name: Shimadzu TOC-L Analyzer Instrument Short Name:Shimadzu TOC-L Instrument Description: A Shimadzu TOC-L Analyzer measures DOC by high temperature combustion method.
Developed by Shimadzu, the 680 degree C combustion catalytic oxidation method is now used worldwide. One of its most important features is the capacity to efficiently oxidize hard-to-decompose organic compounds, including insoluble and macromolecular organic compounds. The 680 degree C combustion catalytic oxidation method has been adopted for the TOC-L series.
http://www.shimadzu.com/an/toc/lab/toc-l2.html Community Standard Description: http://onto.nerc.ac.uk/CAST/124.html
AQ2 Automated Discrete Analyzer
AQ2 Automated Discrete Analyzer
PI Supplied Instrument Name: AQ2 Automated Discrete Analyzer PI Supplied Instrument Description:Total P content was determined colorimetrically via an AQ2 Automated Discrete Analyzer (Seal Analytical, Mequon, WI) in accordance with EPA method 365.1 Rev. 2. Extractable nutrients samples were analyzed using an AQ2 Automated Discrete Analyzer (Seal Analytical, Mequon, WI, EPA methods 231-A Rev.0, 210-A Rev.1, and 204-A Rev.0). Instrument Name: Discrete Analyzer Instrument Short Name:Discrete Analyzer Instrument Description: Discrete analyzers utilize discrete reaction wells to mix and develop the colorimetric reaction, allowing for a wide variety of assays to be performed from one sample. These instruments are ideal for drinking water, wastewater, soil testing, environmental and university or research applications where multiple assays and high throughput are required.