Data Package Metadata   View Summary

Characterization of dissloved organic nitrogen in an oligotrophic subtropical coastal ecosystem (Taylor Slough and Shark River Slough) for December 2001 in Everglades National Park (FCE), South Florida, USA

General Information
Data Package:
Local Identifier:knb-lter-fce.1106.3
Title:Characterization of dissloved organic nitrogen in an oligotrophic subtropical coastal ecosystem (Taylor Slough and Shark River Slough) for December 2001 in Everglades National Park (FCE), South Florida, USA
Alternate Identifier:ST_ND_Jaffe_005
Alternate Identifier:DOI PLACE HOLDER
Abstract:

A better understanding of the biogeochemical cycling of nutrients entering Florida Bay is a key issue regarding the restoration of the Everglades. In addition to precipitation, the other major source of freshwater to Florida Bay is from Taylor Slough and the C-111 Basin in the northeast section of the Bay. While it is known that these areas deliver significant amounts of N to the Bay, a significant portion of this is in the form of dissolved organic N (DON). The sources, environmental fate and bioavailability to microorganisms of this DON are however, not known. Should this DON be readily available, any increased load as a function of restoration changes might have an impact on internal phytoplankton bloom dynamics. No significant flocculation or precipitation of DOM occurred with increase in salinity, meaning that terrestrial DOM does not get trapped in the sediments but stays in the water column where it subjected to photolysis and advective transport. Sunlight has a significant effect on the chemical characteristics of DOM. While the DOC levels did not change significantly during photo-exposure, the optical characteristics of the DOM were modified. The environmental implications of this are conflicting: photo-induced polymerization may stabilize the DOM by reducing its bioavailability while photolysis may make the DOM more labile. Overall, DON bioavailability was relatively low in this region. Even though the amount of DON loaded to the bay may be significant, the fraction of DON available for microbial cycling is much smaller. The amount of N supplied by recycling may be a significant portion of the total DIN pool. All this must be considered in context with the proposed CERP modifications to flows. As of the latest initial Comprehensive Everglades Restoration Project (CERP) update, the flows to Taylor Slough and C-111/Panhandle Basis are not predicted to change very much from base conditions. Therefore we do not expect any great increases in TN loading in this region. In contrast, the proposed flow increases to the Shark River Slough are large and may have significant effects on transport of DOM to the Southwest Florida Shelf. We believe that future efforts in DON characterization and bioavailability should be concentrated in this area.

Publication Date:2024-02-19
For more information:
Visit: DOI PLACE HOLDER

Time Period
Begin:
2001-12-01
End:
2001-12-01

People and Organizations
Contact:Jaffe, Rudolf (Florida Coastal Everglades LTER Program, Project Collaborator) [  email ]
Contact:Information Manager (Florida Coastal Everglades LTER) [  email ]
Creator:Jaffe, Rudolf (Florida Coastal Everglades LTER Program, Lead Principal Investigator)
Associate:Maie, Nagamitsu (Southeast Environmental Research Center, Post Doctorate)
Associate:Jaffe', Rudolf (Southeast Environmental Research Center, Lead Principal Investigator)
Associate:Cloutier, Joshua (Southeast Environmental Research Center, Graduate Student)
Associate:Xu, Yunping (Southeast Environmental Research Center, Graduate Student)
Associate:Gao, Min (Southeast Environmental Research Center, Graduate Student)
Associate:Pisani, Oliva (Southeast Environmental Research Center, Undergaraduate Student)
Associate:Pisani, Alberto (Southeast Environmental Research Center, Undergraduate Student)
Associate:Calvo, Michelle (Southeast Environmental Research Center, Undergraduate Student)

Data Entities
Data Table Name:
ST_ND_Jaffe_005
Description:
Characterization of dissolved organic nitrogen in Taylor Slough and Shark River Slough from December 2001
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-fce/1106/3/089703d1228d2010c9e8e6748d6ab3d2
Name:ST_ND_Jaffe_005
Description:Characterization of dissolved organic nitrogen in Taylor Slough and Shark River Slough from December 2001
Number of Records:5
Number of Columns:39

Table Structure
Object Name:ST_ND_Jaffe_005.csv
Size:1223 byte
Authentication:2a50c4e4cc852e170ca015fb50c1894e Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 SITENAMEdatetimeMax_WLMax_IFISUVA 254S ValueACMBTA:CC:Ndelta15Ndelta13CPercent Amino Acid nitrogenPercent Amino Acid carbonAromatic NPeptide Bond NPrimary Amine NAspartic AcidGlutamic AcidSerineHistidineGlycineThreonineArginineBeta-AlanineAlanineTyrosineGamma-Aminobutyric AcidValinePhenylalanineL-IsoleucineD-IsoleucineLeucineOrnithineLysine
Column Name:SITENAME  
Date  
Max_WL  
Max_I  
FI  
SUVA254  
S_Value  
A  
C  
M  
B  
T  
A:C  
C:N  
Delta15_N  
Delta13_C  
%AA-N  
%AA-C  
Aromatic_N  
Peptide_Bond_N  
Primary_Amine_N  
Aspartic_Acid  
Glutamic_Acid  
Serine  
Histidine  
Glycine  
Threonine  
Arginine  
Beta-Alanine  
Alanine  
Tyrosine  
Gamma-Aminobutyric_Acid  
Valine  
Phenylalanine  
L_Isoleucine  
D_Isoleucine  
Leucine  
Ornithine  
Lysine  
Definition:Name of LTER siteCollection dateEmission wavelength that gives maximum intensity at a fixed excitation of 313 nmMaximum emission intensity at a fixed excitation of 313 nmFluorescence IndexUV Absorbance at 254 nm normalized for carbon concentrationSlope of the log of absorbanceIntensity UV humic-like fluorescenceIntensity of visible humic-like fluorescenceIntensity of visible marine humic-like fluorescenceIntensity of Tyrosine-like fluorescenceIntensity of Tryptophan-like fluorescenceRatio of UV humic-like fluorescence and visible humic-like fluorescenceCarbon to nitrogen ratioNitrogen stable isotope ratioCarbon stable isotope ratioPercentage of Amino Acid nitrogenPercentage of Amino Acid carbonPercentage of aromatic nitrogenPercentage of peptide bond NPercent primary amine nitrogenmole percentage of Aspartic Acidmole percentage of Glutamic Acidmole percentage of Serinemole percentage of Histidinemole percentage of Glycinemole percentage of Threoninemole percentage of Argininemole percentage of Beta-Alaninemole percentage of Alaninemole percentage of Tyrosinemole percentage of gamma-Aminobutyric Acidmole percentage of Valinemole percentage of Phenylalaninemole percentage of L-Isoleucinemole percentage of D-Isoleucinemole percentage of Leucinemole percentage of Ornithinemole percentage of Lysine
Storage Type:text  
datetime  
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Measurement Type:nominaldateTimeratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratio
Measurement Values Domain:
Definitiontext
FormatYYYY-MM-DD
Precision1
Unitnanometer
Precision1
Typereal
UnitQSUPerMilligramPerLiter
Precision1
Typereal
Unitdimensionless
Precision0.01
Typereal
UnitmilligramsPerLiter
Precision0.01
Typereal
Unitdimensionless
Precision0.01
Typereal
UnitQSU
Precision0.1
Typereal
UnitQSU
Precision0.1
Typereal
UnitQSU
Precision0.1
Typereal
UnitQSU
Precision0.1
Typereal
UnitQSU
Precision0.1
Typereal
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Precision0.1
Typereal
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Precision0.1
Typereal
UnitperMil
Precision0.01
Typereal
UnitperMil
Precision0.1
Typereal
Unitpercent
Precision0.1
Typereal
Unitpercent
Precision0.1
Typereal
Unitpercent
Precision0.10
Typereal
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Precision0.10
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Unitpercent
Precision0.10
Typereal
Unitpercent
Precision1
Typereal
Unitpercent
Precision0.10
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Unitpercent
Precision0.10
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Precision0.10
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Precision0.10
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Precision0.10
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Precision0.10
Typereal
Unitpercent
Precision0.10
Typereal
Missing Value Code:    
Code-9999
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Code-9999.0
ExplValue will never be recorded
Accuracy Report:                                                                              
Accuracy Assessment:                                                                              
Coverage:                                                                              
Methods:         Method InfoMethod InfoMethod Info                                                                

Data Package Usage Rights

This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.

Keywords

By Thesaurus:
LTER Core Research Areasorganic matter
LTER Keyword ThesaurusFCE, Florida Coastal Everglades LTER, ecological research, long-term monitoring, Everglades National Park, biogeochemical cycling, Taylor Slough, nutrients, DON, dissolved organic nitrogen, oligotrophic, emissions, amino acids, fluorescence, organisms, nitrogen, water, carbon, marine, acidic

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

Surface water samples were collected in 25 L white low density polyethylene bottles during the early part of the dry season (from 05 Dec 2001 to 28 Jan 2002). The bottles were cleaned beforehand by soaking in 0.5 mol L-1 HCl followed by 0.1 mol L-1 NaOH for 24 h each. Water samples were filtered through pre-combusted GF/F glass fiber filters (nominal pore size, 0.7 um) and concentrated (see Maie et al. 2005 for detail). During ultrafiltration the samples were cooled in iced water. In the case of saline water (TS/Ph10), diafiltration was conducted as follows: one liter of Milli-Q water was added to the concentrated sample and then re-concentrated to 100 mL. This was repeated a total of three times to eliminate salts. The concentrated samples were freeze-dried and powdered with an agate mortar and pestle in preparation for analysis. UDOM solutions of approximately 5 mgC L-1 were prepared in a 0.05 M Tris (Hydroxymethyl) aminomethane (THAM) buffer solution adjusted to pH 7.0 with phosphoric acid. Since the Florida Bay sample (TS/Ph10) exhibited considerably weaker absorbance, it was measured at 20 mgC L-1. After dissolution, all UDOM solutions were filtered through precombusted GF/F filters. The UV-Vis absorption spectra were measured between 250 and 800 nm in a 1cm quartz cuvette using Milli-Q water as the blank. Two optical parameters were determined- (1) the specific UV absorbance at 254 nm (SUVA254) and (2) the UV spectral slope (S). The SUVA254 parameter is defined as the UV absorbance at 254 nm measured in inverse meters (m-1) divided by the DOC concentration measured in mg L-1 (Weishaar et al., 2003). The S parameter is obtained by fitting the absorption data to a simple exponential equation (Blough and Green, 1995). The S parameter is known to be sensitive to baseline offsets; therefore, to correct for this, the average absorbance from 700 to 800 nm was subtracted from each spectrum (Green and Blough, 1994). Fluorescence spectra were measured. As a quick, simple means of distinguishing organic matter source changes, two fluorescence indices were obtained by single emission scan measurements at excitation wavelengths of 313 nm and 370 nm. For each scan, fluorescence intensity was measured at 0.5 nm increments at emission wavelengths ranging from 330 to 500 nm and from 385 to 550 nm, respectively, with a 5 nm bandpass for excitation and emission wavelengths. From the 313 nm scan the maximum intensity and maximum wavelength (Fmax) were determined (Donard, et al., 1989; De Souza Sierra et al. 1994, 1997). From the 370 nm scan a fluorescence index (FI) was calculated (McKnight et al., 2001). These two indices have been used to distinguish the DOM derived from marine/microbial and terrestrial/higher plant origin. Originally, McKnight et al. (2001) introduced the fluorescence index as a ratio of emission intensities at 450 and 500 nm at an excitation wavelength of 370 nm. However, we noticed that after fully correcting fluorescence intensity values (including instrument bias corrections) there was a shift of emission maximum to longer wavelengths. Thus we modified the fluorescence index and used the ratio of fluorescence intensities at 470 and 520 nm, instead of 450 and 500 nm. Similar modifications are being considered by McKnight (pers. comm. 2004). Since comparison of FI values among published data was difficult due to inconsistent spectrum correction, in this study, interpretation was conducted based on the comparison within our sample set. For three dimensional fluorescence spectra, excitation emission matrix (EEM) measurements were collected in a 1 cm quartz cuvette. Forty emission scans were acquired at excitation wavelengths between 260 and 455 nm at 5nm intervals. The emission wavelengths were scanned from fex plus 10 nm to fex plus 250 nm at 2 nm intervals (Coble, 1996; Coble et al., 1993). The individual spectra were concatenated to form a three-dimensional excitation-emission matrix (EEM). Carbonates in UDOM samples were removed prior to analyses using acid vapor decarbonation (Hedges and Stern 1984). Briefly, samples were weighed in duplicate (around 2-5 mg) into silver capsules and exposed to hydrochloric acid vapor for 4 h. Acid vapor was removed under vacuum until there was no noticeable acid smell (Hedges and Stern 1984). Decarbonation of samples before measuring concentration and isotopic ratio of C is necessary and analytical artifacts due to decarbonation on the concentration and stable isotope ratio measurement of N are negligible (Lorrain et al. 2003). Organic carbon and total nitrogen concentrations were measured. C and N stable isotopic analyses were measured. Isotopic ratios are reported in the standard delta notation. Results are presented with respect to the international standards of atmospheric nitrogen (AIR N2) and Vienna Pee Dee belemnite (V-PDB) for carbon. Duplicate measurements were conducted and reproducibility was =/- 1.5ppm for delta15N and +/- 0.2ppm for delta13C on average. Solid state cross polarization magic angle spinning (CPMAS) 15N NMR spectra were obtained using a ramped pulse sequence (Peersen et al 1993; Cook et al., 1996), a rotation frequency of 5.5 kHz, a contact time of 1 ms, and a pulse delay of 200 ms. Between 1.1 - 4.6 x 105 single scans were accumulated and line broadenings of 50-160 Hz were applied. The chemical shift was referenced to nitromethane scale (= 0 ppm) and was adjusted with 15N-enriched glycine (-347.6 ppm). XPS-N1s spectra were recorded using Mg K non-monochromatic radiation with an analyzer pass energy of 32 eV, an electric current of 30 mA, and a voltage of 10 kV. A finely powdered sample (ca. 1 mg) was fixed on the surface of a metallic sample block by means of Scotch double-sided nonconducting tape. Spectra were recorded for each visible line with 0.05 eV per step. The time for one scan was set at 298 ms, and between 126-160 scanned data were accumulated. Amino acid analysis was performed according to Hedges et al (1994). Greater detail can be found in Cowie and Hedges (1992). Briefly, amino acids were analyzed by high-performance liquid chromatography. Samples of UDOM were spiked with a mixture of acidic, basic, and neutral nonprotein amino acids (charge-matched recovery standards) and then hydrolyzed with 6 N HCl under N2 for 70 min at 150 degrees C. The hydrolysate mixture was dried, dissolved, filtered, and converted to fluorescent o-phthaldialdehyde (OPA) derivatives, which were analyzed on a 15 cm x 4.6-mm-i.d. column (xxxx) operated in reverse-phase mode with 5-m C18 packing. The amino acids reported with this method are referred to as total hydrolysable amino acids (THAA). The precision of this method is approximately 10%. A total of 19 individual amino acids were analyzed, 15 of which were protein amino acids (aspartic acid, Asp; glutamic acid, Glu; serine, Ser; histidine, His; glycine, Gly; threonine, Thr; arginine, Arg; alanine, Ala; tyrosine, Tyr; methionine, Met; valine, Val; phenylalanine; Phe; isoleucine, Ile; leucine, Leu; lysine, Lys) and 4 non-protein amino acids (-alanine (BALA), -aminobutyric acid (GABA), -aminobutyric acid (AABA), and ornithine (Orn)). A degradation index (DI), which was introduced by Dauwe et al. (1999) to evaluate the diagenetic state of POM by using amino acid composition, was calculated for our UDOM samples. The concept of DI is that when natural organic matter samples with different diagenetic histories are subjected to principal component analysis (PCA) based on their amino acid composition (mol%), the first principal component (PC1) represents the degree of diagenesis, therefore the score plot of PC1 is referred to as the DI.

References:

Blough, N V 1995. Spectroscopic characterization and remote sensing of nonliving organic matter. p. 23-45 in Zepp, R G , (eds). Role of nonliving organic matter in the earth's carbon cycle. John Wiley and Sons Ltd., London, 22 pp.

Coble, P G 1996. Characterization of marine and terrestrial DOM in seawater using excitation-emission spectroscopy. Marine Chemistry, 51(4): 325-346.

Coble, P G 1993. Fluorescence contouring analysis of DOC intercalibration experiment samples: a comparison of techniques. Marine Chemistry, 41: 173-178.

Cook, R L 1996. A modified cross-polarization magic angle spinning 13C NMR procedure for the study of humic materials. Analytical Chemistry, 68: 3979-3986.

Cowie, G L 1992. Sources and reactivities of amino acids in a coastal marine environment. Limnology and Oceanography, 37(4): 703-724.

Dauwe, B 1999. Linking diagenetic alteration of amio acids and bulk organic matter reactivity. Limnology and Oceanography, 44(7): 1809-1814.

De Souza Sierra, M M 1994. Fluorescence spectroscopy of coastal and marine waters. Marine Chemistry, 58: 127-144.

De Souza Sierra, M M 1997. Spectral identification and behavior of dissolved organic fluorescent material during estuarine mixing processes. Marine Chemistry, 58: 51-58.

Donard, O F 1989. High-sensitivity fluorescence spectroscopy of Mediterranean water using a conventional or a pulsed laser excitation source. Marine Chemistry, 27(117-136): 127-144.

Hedges, J I 1984. Carbon and nitrogen determinations of carbonate-containing solids. Limnology and Oceanography, 29: 657-663.

Hedges, J I 1994. Origins and processing of organic matter in the Amazon River as indicated by carbohydrates and amino acids. Limnology and Oceanography, 39(4): 743-761.

Lorrain, A 2003. Decarbonation and preservation method for the analysis of organic C and N contents and stable isotope ratios of low-carbonated suspended particulate material. Analitica Chimica Acta, 491: 125-133.

McKnight, D M 2001. Spectrofluorometric characterization of dissolved organic matter for indication of precursor organic material and aromaticity. Limnology and Oceanography, 46(1): 38-48.

Peersen, O B 1993. Variable-amplitude cross-polarization MAS NMR. Journal of Magnetic Resource, 104: 334-339.

Weishaar, J L 2003. Evaluation of specific ultraviolet absorbance as an indicator of the chemical composition and reactivity of dissolved organic carbon. Environmental Science and Technology, 37: 4702-4708.

Instrument(s):Whatman 0.7m glass fiber filers, Nalgene 25-L brown polyethylene bottles, Pellicon 2 Mini Tangential Flow Ultrafiltration System (Millipore Co., Billerica, MA, USA), Jobin Yvon Horiba Spex Fluoromax-3 Fluorometer, Shimadzu UV-2101PC Spectrophotometer, Carlo Erba NA 1500 Nitrogen/Carbon Analyzer (Carlo Erba, Milan, Italy), ThermoFinnigan Delta C Isotope Ratio Mass Spectrometer Elemental Analyzer, Bruker DMX 400 Spectrometer (Bruker SioSpin GmbH, Rheinstetten, Germany), X-Ray Photoelectron Spectrometer (ESCA-3300, Shimadzu)
Sampling Area and Study Extent
Sampling Description:

The three sampling sites selected for this study were distributed along a transect extending from the freshwater marsh of Taylor Slough through the mangrove fringe and into Florida Bay. The freshwater marsh site (TS/PH2) and mangrove site (TS/PH6a) are sampled semi-continuously for TN and TP as part of the FCE LTER Program (see http://fcelter.fiu.edu). The Florida Bay site (TS/PH9) was sampled monthly as part of the SERC Water Quality Monitoring Network (http://serc.fiu.edu/wqmnetwork/). Water samples were collected on August 4, 2003 from three sites in the Everglades hydroscape. Water samples were collected at 10 cm depth using acid washed, autoclaved distilled water (ADW) rinsed 8 l brown Nalgene bottles. Sample bottles were rinsed three times with sample water prior to collection. A 1 l brown Nalgene bottle was collected from the TS/PH9 site for a bacteria inoculum.

Sampling Area And Frequency:

The Study Extent of this dataset includes the FCE Taylor Slough and Florida Bay research sites within Everglades National Park, South Florida

Quality Control
Quality Control Step 1: 
Description:

Data was processed using Excel (ver. 11 Microsoft) and SigmaPlot (ver.7 SPSS Inc.).All the fluorescence spectra were acquired in ratio mode whereby the sample and reference signals are collected and the ratio is calculated. Several post-acquisition steps were involved in the correction of the fluorescence spectra. First, an inner filter correction was applied to the fluorescence data according to McKnight et al. (2001). After inner filter corrections, the sample EEM underwent spectral subtraction of the buffer solution to remove most of the effects due to Raman scattering. Corrections for instrument bias related to wavelength dependent efficiencies of the specific instrument's optical components (gratings, mirrors, etc) were then made by applying multiplication factors, supplied by the manufacturer, for both excitation and emission wavelengths for the range of observations. Finally, fluorescence intensity was converted to quinine sulfate unit (QSU) to facilitate inter-laboratory comparisons (Coble et al., 1993). For X-Ray photoelectron spectroscopy, correction of binding energy was made relative to the C-C/C-H signal at 385.0 eV in the C1s spectra measured simultaneously. The spectra were deconvoluted into three major N species depending on its binding energy (solid lines), by applying three Gaussian curves with peak centers at 399.0 plus or minus 0.1 eV (aromatic N including imine, pyridine, aromatic amine, and NH in guanidine), 400.4 plus or minus 0.1 eV (peptide bond N including other amides, pyrrole, secondary and tertiary amines, and imide); and 402.3 plus or minus 0.1 eV (primary amine N including protonated amine; Abe and Watanabe, 2004). The proportions of three N groups in total N were estimated from the relative areas surrounded by Gaussian curves and base line with respect to the spectral area.

These methods, instrumentation, and/or protocols apply to the data table ST_ND_Jaffe_005:

These methods, instrumentation and/or protocols apply to the data table column: FI (FI)
Methods and protocols used in the collection of this data package
Description:

Calculations: FI=Em450/Em500

These methods, instrumentation and/or protocols apply to the data table column: SUVA 254 (SUVA254)
Methods and protocols used in the collection of this data package
Description:

Calculations: Abs/[DOC]

These methods, instrumentation and/or protocols apply to the data table column: S Value (S_Value)
Methods and protocols used in the collection of this data package
Description:

Calculations: log(Abs)

People and Organizations

Publishers:
Organization:Environmental Data Initiative
Email Address:
info@edirepository.org
Web Address:
https://edirepository.org
Id:https://ror.org/0330j0z60
Creators:
Individual:Dr. Rudolf Jaffe
Organization:Florida Coastal Everglades LTER Program
Position:Lead Principal Investigator
Address:
Florida International University,
University Park,
Miami, Florida 33199 USA
Phone:
305-348-2456 (voice)
Phone:
305-348-4096 (facsimile)
Email Address:
jaffer@fiu.edu
Web Address:
http://serc.fiu.edu/sercindex/index.htm
Id:https://orcid.org/0000-0001-6153-248X
Contacts:
Individual: Rudolf Jaffe
Organization:Florida Coastal Everglades LTER Program
Position:Project Collaborator
Address:
Florida International University,
University Park,
OE 148,
Miami, Florida 33199 USA
Phone:
305-348-2456 (voice)
Phone:
305-348-4096 (fax)
Email Address:
jaffer@fiu.edu
Web Address:
http://serc.fiu.edu/sercindex/index.htm
Organization:Florida Coastal Everglades LTER
Position:Information Manager
Address:
Florida International University,
11200 SW 8th Street, OE 148,
Miami, FL 33199 USA
Email Address:
fcelter@fiu.edu
Web Address:
https://fcelter.fiu.edu
Associated Parties:
Individual: Nagamitsu Maie
Organization:Southeast Environmental Research Center
Address:
Florida International University,
University Park,
OE 148,
Miami, Florida 33199 USA
Phone:
305-348-6085 (voice)
Phone:
305-348-4096 (fax)
Email Address:
nagamits@fiu.edu
Web Address:
http://serc.fiu.edu/sercindex/index.htm
Role:Post Doctorate
Individual: Rudolf Jaffe'
Organization:Southeast Environmental Research Center
Address:
Florida International University,
University Park,
OE 148,
Miami, Florida 33199 USA
Phone:
305-348-2456 (voice)
Phone:
305-348-4096 (fax)
Email Address:
jaffer@fiu.edu
Web Address:
http://serc.fiu.edu/sercindex/index.htm
Role:Lead Principal Investigator
Individual: Joshua Cloutier
Organization:Southeast Environmental Research Center
Address:
Florida International Uiversity University Park OE 148,
Miami, Florida 33199 USA
Phone:
305-348-3118 (voice)
Phone:
305-348-4096 (fax)
Email Address:
jclou001@fiu.edu
Web Address:
http://serc.fiu.edu/sercindex/index.htm
Role:Graduate Student
Individual: Yunping Xu
Organization:Southeast Environmental Research Center
Address:
Florida International University University Park OE 148,
Miami, Florida 33199 USA
Phone:
305-348-3118 (voice)
Phone:
305-348-4096 (fax)
Email Address:
yxu003@fiu.edu
Web Address:
http://serc.fiu.edu/sercindex/index.htm
Role:Graduate Student
Individual: Min Gao
Organization:Southeast Environmental Research Center
Address:
Florida International University University Park OE 148,
Miami, Florida 33199 USA
Phone:
305-348-3118 (voice)
Phone:
305-348-4096 (fax)
Email Address:
min.gao@fiu.edu
Web Address:
http://serc.fiu.edu/sercindex/index.htm
Role:Graduate Student
Individual: Oliva Pisani
Organization:Southeast Environmental Research Center
Address:
Florida International University University Park OE 148,
Miami, Florida 33199 USA
Phone:
305-348-3118 (voice)
Phone:
305-348-4096 (fax)
Email Address:
opisa001@fiu.edu
Web Address:
http://serc.fiu.edu/sercindex/index.htm
Role:Undergaraduate Student
Individual: Alberto Pisani
Organization:Southeast Environmental Research Center
Address:
Florida International University University Park OE 148,
Miami, Florida 33199 USA
Phone:
305-348-3118 (voice)
Phone:
305-348-4096 (fax)
Email Address:
apisa001@fiu.edu
Web Address:
http://serc.fiu.edu/sercindex/index.htm
Role:Undergraduate Student
Individual: Michelle Calvo
Organization:Southeast Environmental Research Center
Address:
Florida International University University Park OE 148,
Miami, Florida 33199 USA
Phone:
305-348-3118 (voice)
Phone:
305-348-4096 (fax)
Email Address:
MCALV003@fiu.edu
Web Address:
http://serc.fiu.edu/sercindex/index.htm
Role:Undergraduate Student
Metadata Providers:
Organization:Florida Coastal Everglades LTER
Address:
Florida International University,
11200 SW 8th Street, OE 148,
Miami, FL 33199 USA
Phone:
305-348-6054 (voice)
Email Address:
fcelter@fiu.edu
Web Address:
https://fcelter.fiu.edu
Id:https://ror.org/03davk141

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
2001-12-01
End:
2001-12-01
Sampling Site: 
Description:SRS4
Site Coordinates:
Longitude (degree): -80.96431016Latitude (degree): 25.40976421
Sampling Site: 
Description:SRS6
Site Coordinates:
Longitude (degree): -81.07794623Latitude (degree): 25.36462994
Sampling Site: 
Description:TS/Ph2
Site Coordinates:
Longitude (degree): -80.60690341Latitude (degree): 25.40357188
Sampling Site: 
Description:TS/Ph7a
Site Coordinates:
Longitude (degree): -80.63910514Latitude (degree): 25.19080491
Sampling Site: 
Description:TS/Ph10
Site Coordinates:
Longitude (degree): -80.68097374Latitude (degree): 25.02476744

Project

Parent Project Information:

Title:Florida Coastal Everglades LTER: Coastal Oligotrophic Ecosystems Research-the Coastal Everglades
Personnel:
Individual: Daniel Childers
Role:Lead Principal Investigator
Abstract:

We are investigating how variability in regional climate, freshwater inputs, disturbance, and perturbations affect the coastal Everglades ecosystem. Our long term research program focuses on testing the following central idea and hypotheses: Regional processes mediated by water flow control population and ecosystem level dynamics at any location within the coastal Everglades landscape. This phenomenon is best exemplified in the dynamics of an estuarine oligohaline zone where fresh water draining phosphorus-limited Everglades marshes mixes with water from the more nitrogen-limited coastal ocean. Hypothesis 1: In nutrient-poor coastal systems, long-term changes in the quantity or quality of organic matter inputs will exert strong and direct controls on estuarine productivity, because inorganic nutrients are at such low levels. Hypothesis 2: Interannual and long-term changes in freshwater flow controls the magnitude of nutrients and organic matter inputs to the estuarine zone, while ecological processes in the freshwater marsh and coastal ocean control the quality and characteristics of those inputs. Hypothesis 3: Long-term changes in freshwater flow (primarily manifest through management and Everglades restoration) will interact with long-term changes in the climatic and disturbance (sea level rise, hurricanes, fires) regimes to modify ecological pattern and process across coastal landscapes.

Additional Award Information:
Funder:National Science Foundation
Funder ID:https://ror.org/021nxhr62
Number:9910514
Title:Florida Coastal Everglades LTER: Coastal Oligotrophic Ecosystems Research-the Coastal Everglades
URL:https://www.nsf.gov/awardsearch/showAward?AWD_ID=9910514
Related Project:
Title:FCE LTER II: Coastal Oligotrophic Ecosystems Research
Personnel:
Individual: Evelyn Gaiser
Id:https://orcid.org/0000-0003-2065-4821
Role:Lead Principal Investigator
Abstract:

Our FCE I research focused on understanding how dissolved organic matter from upstream oligotrophic marshes interacts with a marine source of phosphorus (P), the limiting nutrient, to control estuarine productivity where these two influences meet-in the oligohaline ecotone. This dynamic is affected by the interaction of local ecological processes and landscape-scale drivers (hydrologic, climatological, and human). During FCE I, our ideas about how these "upside-down" estuaries (Childers et al. 2006) function has evolved, and we have modified our central theme to reflect this new understanding. Our focus in FCE II will be even more strongly on the oligohaline ecotone region of our experimental transects. For FCE II, our overarching theme is: In the coastal Everglades landscape, population and ecosystem-level dynamics are controlled by the relative importance of water source, water residence time, and local biotic processes. This phenomenon is best exemplified in the oligohaline ecotone, where these 3 factors interact most strongly and vary over many [temporal and spatial] scales.Hypothesis 1: Increasing inputs of fresh water will enhance oligotrophy in nutrient-poor coastal systems, as long as the inflowing water has low nutrient content; this dynamic will be most pronounced in the oligohaline ecotone. Hypothesis 2: An increase in freshwater inflow will increase the physical transport of detrital organic matter to the oligohaline ecotone, which will enhance estuarine productivity. The quality of these allochthonous detrital inputs will be controlled by upstream ecological processes. Hypothesis 3: Water residence time, groundwater inputs, and tidal energy interact with climatic and disturbance regimes to modify ecological pattern and process in oligotrophic estuaries; this dynamic will be most pronounced in the oligohaline ecotone. Childers, D.L., J.N. Boyer, S.E. Davis, C.J. Madden, D.T. Rudnick, and F.H. Sklar, 2006. Relating precipitation and water management to nutrient concentration patterns in the oligotrophic "upside down" estuaries of the Florida Everglades. Limnology and Oceanography, 51(1): 602-616.

Additional Award Information:
Funder:National Science Foundation
Funder ID:https://ror.org/021nxhr62
Number:620409
Title:FCE LTER II: Coastal Oligotrophic Ecosystems Research
URL:https://www.nsf.gov/awardsearch/showAward?AWD_ID=0620409
Related Project:
Title:FCE LTER III: Coastal Oligotrophic Ecosystems Research
Personnel:
Individual: Evelyn Gaiser
Id:https://orcid.org/0000-0003-2065-4821
Role:Lead Principal Investigator
Abstract:

Coastal ecosystems are being modified at unprecedented rates through interacting

pressures of global climate change and rapid human population growth, impacting natural coastal

resources and the services they provide. Located at the base of the shallow-sloping Florida peninsula, the Everglades wilderness and 6 million human residents are exceptionally exposed to both pressures. Further, freshwater drainage has accelerated saltwater intrusion over land and into the porous limestone aquifer, resulting in coastal ecosystem transgression and seasonal residential freshwater shortages. The unprecedented landscape-scale Everglades restoration process is expected to reverse some of these trends. However, it is not clear how uncertainties about climate change prognoses and their impacts (e.g., sea level rise (SLR), changes in storm activity or severity, and climate drivers of freshwater availability) may influence human activities (e.g., population growth, resource use, land-use change), and how their interaction will affect the restoration process that is already steeped in conflict. The Florida Coastal Everglades Long-Term Ecological Research (FCE LTER) program is dedicated to long-term coupled biophysical and cultural studies that expose and unravel complex feedbacks that generate distinctive patterns and processes in vulnerable coastal ecosystems. The overarching theme of FCE research is: In the coastal Everglades, climate change and resource management decisions interact to influence

freshwater availability, ecosystem dynamics, and the value and utilization of ecosystem services by people. Because they are highly sensitive to the balance of freshwater and marine influences,

coastal wetlands of the Florida Everglades provide an ideal system to examine how socio-ecological systems respond to and mitigate the effects of climate change and freshwater allocation decisions. The trans-disciplinary science conducted by the large FCE research team is revealing how estuary hydrodynamics and biogeochemistry may tilt on a fulcrum defined by the magnitude by which coastal pressures (SRL, storms) are mitigated by freshwater flows. We employ a socio-ecological framework to address how climate change interacts with political decisions to determine the sustainability of interconnected human-natural systems. In FCE I, we discovered how coastal nutrient supplies create an unusual “upside-down” productivity gradient in karstic estuaries. FCE II research used growing long-term datasets to reveal the sensitivity of this gradient to changes in hydrodynamics, nutrient availability, and salinity. In FCE III, we will use South Florida as an exemplary system for understanding how and why socio-ecological systems resist, adapt to, or mitigate the effects of climate change on ecosystem sustainability. We will examine how decisions about freshwater delivery to the Everglades influence -and are influenced by - the impact of SLR in this especially vulnerable landscape. Biophysical studies will focus on how this balance of fresh and marine sources influences biogeochemical cycling, primary production, organic matter dynamics, and trophic dynamics, to drive carbon gains and losses. We expand our spatio-temporal domain by employing powerful long-term datasets and experiments to determine legacies of past interactions, and to constrain models that will help guide a sustainable future for the FCE.

Additional Award Information:
Funder:National Science Foundation
Funder ID:https://ror.org/021nxhr62
Number:1237517
Title:FCE LTER III: Coastal Oligotrophic Ecosystems Research
URL:https://www.nsf.gov/awardsearch/showAward?AWD_ID=1237517
Related Project:
Title:FCE LTER IV: Drivers of Abrupt Change in the Florida Coastal Everglades
Personnel:
Individual: Evelyn Gaiser
Role:Lead Principal Investigator
Abstract:

Coastal ecosystems like the Florida Everglades provide many benefits to society. They protect coastlines from storms and store carbon. They provide habitat and food for important fisheries. They also support tourism and local economies, and store freshwater for millions of people. The Florida Coastal Everglades Long Term Ecological Research (FCE LTER) program addresses how and why coastal ecosystems are changing in response to sea level rise and the actions of people. Like many coastal ecosystems, the Florida Everglades are threatened by the diversion of freshwater to support urban and agricultural expansion. At the same time, sea level rise has caused coastal ecosystems to become saltier, threatening the freshwater supply, stressing freshwater plants, and causing the soils to collapse. When the soils beneath coastal wetlands disappear, seawater invades even more quickly. Researchers in the FCE LTER are continuing long-term studies and experiments to understand how these changes influence ecosystem functions and services. They are also developing tools for resource managers to create an effective freshwater restoration program. The science team includes an active community of graduate students. As a group, they reach the public through education and outreach activities, and regularly advise policy-makers on resource management decisions. The FCE LTER research program addresses how changing fresh and marine supplies of water influence coastal ecosystem dynamics through: (i) continued long-term assessment of changes in biogeochemistry, primary production, organic matter, and trophic dynamics in ecosystems along freshwater-to-marine gradients, (ii) maintenance of existing in situ and ex situ long-term experiments, (iii) use of high-resolution remote sensing, coupled with models to forecast landscape-scale changes, (iv) addition of synoptic satellite sites to capture discrete spatio-temporal responses to episodic disturbance, and (v) initiation of new experimental manipulations to determine drivers and mechanisms of resilience to saltwater intrusion. Data syntheses integrate month-to-annual and inter-annual data into models of water, nutrients, carbon, and species dynamics throughout the Everglades landscape to compare how ecosystems with different productivities and carbon stores respond (maintain, increase, or decline) to short- (pulses) and long-term changes (presses) in hydrologic connectivity. Understanding and predicting the drivers of abrupt changes in ecosystems is a key challenge in ecosystem ecology.

Additional Award Information:
Funder:National Science Foundation
Funder ID:https://ror.org/021nxhr62
Number:1832229
Title:LTER: Drivers of Abrupt Change in the Florida Coastal Everglades
URL:https://www.nsf.gov/awardsearch/showAward?AWD_ID=1832229&HistoricalAwards=false
Related Project:
Title:LTER: Coastal Oligotrophic Ecosystem Research
Personnel:
Individual: John Kominoski
Address:
Florida International University,
11200 S.W. 8th Street,
Miami, FL 33199 US
Email Address:
jkominos@fiu.edu
Id:https://orcid.org/0000-0002-0978-3326
Role:Lead Principal Investigator
Individual: James Fourqurean
Role:Co-Principal Investigator
Individual: Evelyn Gaiser
Role:Co-Principal Investigator
Individual: Jennifer Rehage
Role:Co-Principal Investigator
Individual: Kevin Grove
Role:Co-Principal Investigator
Abstract:

Coastal ecosystems like the Florida Everglades provide many benefits and services to society including protection from storms, habitat and food for important fisheries, support of tourism and local economies, filtration of fresh water, and burial and storage of carbon that offsets greenhouse gas emissions. The Florida Coastal Everglades Long Term Ecological Research (FCE LTER) program addresses how and why coastal ecosystems and their services are changing. Like many coastal ecosystems, the Florida Everglades has been threatened by diversion of fresh water to support urban and agricultural expansion. At the same time, sea-level rise has caused saltwater intrusion of coastal ecosystems which stresses freshwater species, causes elevation loss, and contaminates municipal water resources. However, restoration of seasonal pulses of fresh water may counteract these threats. Researchers in the FCE LTER are continuing long-term studies and experiments to understand how changes in freshwater supply, sea-level rise, and disturbances like tropical storms interact to influence ecosystems and their services. The science team is guided by a diversity and inclusion plan to attract diverse scientists at all career stages. The team includes resource managers – who use discoveries and knowledge from the FCE LTER to guide effective freshwater restoration – and an active community of academic and agency scientists, teachers and other educators, graduate, undergraduate, and high school students. The project has a robust education and outreach program that engages the research team with the general public to advance science discoveries and protection of coastal ecosystems.

Additional Award Information:
Funder:National Science Foundation
Funder ID:https://ror.org/021nxhr62
Number:2025954
Title:LTER: Coastal Oligotrophic Ecosystem Research
URL:https://www.nsf.gov/awardsearch/showAward?AWD_ID=2025954&HistoricalAwards=false
Related Project:
Title:Physical and microbial processing of dissolved organic nitrogen (DON) along an oligotrophic marsh/mangrove/estuary ecotone (Taylor Slough and Florida Bay) in South Florida, USA
Personnel:
Individual: Rudolf Jaffe
Organization:Florida Coastal Everglades LTER Program
Address:
Department of Chemistry,
Florida International University,
University Park,
OE 148,
Miami, FL 33199 USA
Phone:
305-348-2456 (voice)
Phone:
305-348-4096 (fax)
Email Address:
jaffer@fiu.edu
Role:Principal Investigator
Individual: Nagamitsu Maie
Organization:Florida Coastal Everglades LTER Program
Address:
Florida International University,
University Park,
CP 304,
Miami, Florida 33199 USA
Phone:
(305)348-6085 (voice)
Phone:
305-348-4096 (fax)
Email Address:
nagamits@fiu.edu
Role:Post Doctorate
Abstract:

A better understanding of the biogeochemical cycling of nutrients entering Florida Bay is a key issue regarding the restoration of the Everglades. In addition to precipitation, the other major source of freshwater to Florida Bay is from Taylor Slough and the C-111 Basin in the northeast section of the Bay. While it is known that these areas deliver significant amounts of N to the Bay, a significant portion of this is in the form of dissolved organic N (DON). The sources, environmental fate and bioavailability to microorganisms of this DON are however, not known. Should this DON be readily available, any increased load as a function of restoration changes might have an impact on internal phytoplankton bloom dynamics. No significant flocculation or precipitation of DOM occurred with increase in salinity, meaning that terrestrial DOM does not get trapped in the sediments but stays in the water column where it subjected to photolysis and advective transport. Sunlight has a significant effect on the chemical characteristics of DOM. While the DOC levels did not change significantly during photo-exposure, the optical characteristics of the DOM were modified. The environmental implications of this are conflicting: photo-induced polymerization may stabilize the DOM by reducing its bioavailability while photolysis may make the DOM more labile. Overall, DON bioavailability was relatively low in this region. Even though the amount of DON loaded to the bay may be significant, the fraction of DON available for microbial cycling is much smaller. The amount of N supplied by recycling may be a significant portion of the total DIN pool. All this must be considered in context with the proposed CERP modifications to flows. As of the latest initial Comprehensive Everglades Restoration Project (CERP) update, the flows to Taylor Slough and C-111/Panhandle Basis are not predicted to change very much from base conditions. Therefore we do not expect any great increases in TN loading in this region. In contrast, the proposed flow increases to the Shark River Slough are large and may have significant effects on transport of DOM to the Southwest Florida Shelf. We believe that future efforts in DON characterization and bioavailability should be concentrated in this area.

Funding:

SFWMD under grant # CC20306A

Additional Award Information:
Funder:South Florida Water Management District
Funder ID:https://ror.org/055rxf725
Number:CC20306A
Title:Physical and microbial processing of dissolved organic nitrogen (DON) along an oligotrophic marsh/mangrove/estuary ecotone (Taylor Slough and Florida Bay) in South Florida, USA

Maintenance

Maintenance:
Description:

knb-lter-fce.1106.3: Updated metadata to EML 2.2.0, added creator ORCID and organization ROR ids, added project awards, changed file extension to .csv (no changes to data)

knb-lter-fce.1106.2: Added new Data download URL and new FCE III Project information

knb-lter-fce.1106.1: This is a short-term DOM dataset. This dataset replaces the original version named ST_ND_Jaffe_005. The FCE program is discontinuing its practice of versioning data as of March 2013.

Frequency:
Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'unitList' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unitList')
        |     |     |  \___attribute 'schemaLocation' in ns 'http://www.w3.org/2001/XMLSchema-instance' ('xsi:schemaLocation') = 'eml://ecoinformatics.org/eml-2.1.0 http://fcelter.fiu.edu/data/eml_schema/eml-2.1.0/stmml.xsd'
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'QSUPerMilligramPerLiter'
        |     |     |     |  \___attribute 'name' = 'QSUPerMilligramPerLiter'
        |     |     |     |  \___attribute 'unitType' = '0'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |     |___text 'Quinine Sulfate Unit(1 QSU = 1ug/L of quinine sulfate monohydrate in a 0.05 mol/L H2SO4 solution)/milligram/liter'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'QSU'
        |     |     |     |  \___attribute 'name' = 'QSU'
        |     |     |     |  \___attribute 'unitType' = 'intensity'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |     |___text 'Quinine Sulfate Unit(1 QSU = 1ug/L of quinine sulfate monohydrate in a 0.05 mol/L H2SO4 solution'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'perMil'
        |     |     |     |  \___attribute 'name' = 'perMil'
        |     |     |     |  \___attribute 'unitType' = '0'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |     |___text 'Vienna-Pee Dee Belemnite (V-PDB): a belemnite from the Cretaceous Pee Dee formation of South Carolina'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'percent'
        |     |     |     |  \___attribute 'multiplierToSI' = '1'
        |     |     |     |  \___attribute 'name' = 'percent'
        |     |     |     |  \___attribute 'unitType' = 'dimensionless'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |     |___text 'ratio of two quantities as percent composition (1:100)'
        |     |     |     |___text '\n            '
        |     |     |___text '\n         '
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'additionalDataset'
        |     |     |___text '\n            '
        |     |     |___element 'researchType'
        |     |     |     |___text 'Short-term'
        |     |     |___text '\n            '
        |     |     |___element 'addDistribution'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'submissionDate'
        |     |     |     |     |___text '2005-09-26'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'LTERsites'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'sitename'
        |     |     |     |     |___text 'SRS4, SRS6, TS/Ph2, TS/Ph7a and TS/Ph10'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'projectHypotheses'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'para'
        |     |     |     |     |___text 'Our short term research progarm focuses on the following central objective: to determine the molecular characterization of ultrafiltered high molecular weight fraction (greater than 1000Da) of DON (UDON) which is a significant component of the DON pool, and therefore may play an important role in the Everglades\' nitrogen cycle.'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'datasetInfoManagementNotes'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'notes'
        |     |     |     |     |___text 'This is a short-term DOM dataset. This dataset replaces the original version named ST_ND_Jaffe_005. The FCE program is discontinuing its practice of versioning data as of March 2013.'
        |     |     |     |___text '\n            '
        |     |     |___text '\n         '
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'fetchedFromEDI'
        |     |        \___attribute 'dateFetched' = '2024-02-19'
        |     |        \___attribute 'packageID' = 'knb-lter-fce.1106.2'
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'importedFromXML'
        |     |        \___attribute 'dateImported' = '2024-02-19'
        |     |        \___attribute 'filename' = 'knb-lter-fce.1106.2.xml'
        |     |        \___attribute 'taxonomicCoverageExempt' = 'True'
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'emlEditor'
        |     |        \___attribute 'app' = 'ezEML'
        |     |        \___attribute 'release' = '2024.02.07'
        |     |___text '\n      '
        |___text '\n   '

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

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