Data Package Metadata   View Summary

Monthly monitoring fluorescence data for Shark River Slough and Taylor Slough, Everglades National Park (FCE) for October 2004 to February 2014

General Information
Data Package:
Local Identifier:knb-lter-fce.1174.8
Title:Monthly monitoring fluorescence data for Shark River Slough and Taylor Slough, Everglades National Park (FCE) for October 2004 to February 2014
Alternate Identifier:LT_ND_Jaffe_004
Alternate Identifier:DOI PLACE HOLDER
Abstract:

Dissolved organic matter plays an important role in biogeochemical processes in aquatic environments such as elemental cycling, microbial loop energetics, and the transport of materials across landscapes. Since most of N (> 90%) and P (around 90%) is in the organic form in the oligotrophic subtropical Florida Coastal Everglades (FCE), study of the source and dynamics of dissolved organic matter (DOM) in the ecosystem is crucial for the better understanding of the biogeochemical cycling of nutrients. FCE are composed of estuaries with distinct regions with different biogeochemical processes. Freshwater marsh primarily receives terrestrial input and local autochthonous vegetation production. Mangrove ecotone, nevertheless, is affected by the tidal contributions from Florida Bay and local mangrove production. Florida Bay (FB) is a wedge-shaped shallow oligotrophic estuary which lays south of the Everglades, the bottom of which is covered with a dense biomass of seagrass. The sources of both freshwater and nutrients in FCE are difficult to quantify, owing to the non-point source nature of runoff from the Everglades and the dendritic cross channels in the mangroves. Furthermore, the combination of multiple DOM sources (freshwater marsh vegetation, mangroves, phytoplankton, seagrass, etc.), and the potential seasonal variability of their relative contribution, along with the history of (photo)chemical and microbial diagenetic processing, and complex advective circulation, makes the study of DOM dynamics in FCE particularly difficult using standard schemes of estuarine ecology. Quantitative information of DOM is very useful to investigate the biogeochemical cycling of DOM to a certain degree, however, qualitative information is necessary to better understand the source and dynamics of DOM. Since fluorescence spectroscopic techniques are very sensitive, quick and simple, they have been applied to investigate the fate of DOM in estuaries.

Publication Date:2024-02-25
For more information:
Visit: DOI PLACE HOLDER

Time Period
Begin:
2004-10-01
End:
2014-02-01

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:Jaffe, Rudolf (Southeast Environmental Research Center, Lead Principal Investigator)
Associate:Maie, Nagamitsu (Southeast Environmental Research Center, Ex-Post Doctorate)
Associate:Pisani, Oliva (Southeast Environmental Research Center, garaduate Student)
Associate:Chen, Meilian (Southeast Environmental Research Center, garaduate Student)

Data Entities
Data Table Name:
LT_ND_Jaffe_004
Description:
Monthly monitoring fluorescence data for Shark River Slough and Taylor Slough, Everglades National Park (FCE)
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-fce/1174/8/a3dea019daa2f494bc3e3782aebbf093
Name:LT_ND_Jaffe_004
Description:Monthly monitoring fluorescence data for Shark River Slough and Taylor Slough, Everglades National Park (FCE)
Number of Records:697
Number of Columns:26

Table Structure
Object Name:LT_ND_Jaffe_004.csv
Size:99993 byte
Authentication:a976cae6fbd631ff7769d629df2c9100 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 sample namesitenamedateFluorescence IndexAbsorbanceDissolved Organic CarbonSpecific UV absorbanceNaperian AbsorbanceNaperian Specific UV absorbanceC1C2C3C4C5C6C7C8Sum of the loadings for all 8 PARAFAC components (AKA total modeled fluorescence intensity)%C1%C2%C3%C4%C5%C6%C7%C8
Column Name:Sample_Name  
SITENAME  
Date  
FI  
A_254  
DOC  
SUVA254  
Abs_Naperian  
SUVA_Naperian  
C1  
C2  
C3  
C4  
C5  
C6  
C7  
C8  
SUM  
%C1  
%C2  
%C3  
%C4  
%C5  
%C6  
%C7  
%C8  
Definition:Sample IDName of LTER siteCollection dateRatio of emission intensities at 450 and 500 nm obtained at a fixedUV-Vis absorbance at 254 nm; note that 1 cm pathlength usedDissolved Organic CarbonUV absorbance at 254 nm normalized for DOCNaperian UV-Vis absorbance at 254 nmNaperian UV absorbance at 254 nm normalized for DOCcomponent 1 of EEM-PARAFACcomponent 2 of EEM-PARAFACcomponent 3 of EEM-PARAFACcomponent 4 of EEM-PARAFACcomponent 5 of EEM-PARAFACcomponent 6 of EEM-PARAFACcomponent 7 of EEM-PARAFACcomponent 8 of EEM-PARAFACSum of the loadings for all 8 PARAFAC components (AKA total modeled fluorescence intensity)component 1 of EEM-PARAFACcomponent 2 of EEM-PARAFACcomponent 3 of EEM-PARAFACcomponent 4 of EEM-PARAFACcomponent 5 of EEM-PARAFACcomponent 6 of EEM-PARAFACcomponent 7 of EEM-PARAFACcomponent 8 of EEM-PARAFAC
Storage Type:text  
text  
datetime  
data  
data  
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data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
Measurement Type:nominalordinaldateTimeratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratio
Measurement Values Domain:
Definitiontext
Definitiontext
FormatYYYY-MM-DD
Precision1
Unitdimensionless
Precision0.01
Typereal
Unitdimensionless
Precision0.001
Typereal
UnitmilligramsPerLiter
Precision0.01
Typereal
UnitlitersPerMeterMilligram
Precision0.01
Typereal
Unitdimensionless
Precision0.001
Typereal
UnitlitersPerMeterMilligram
Precision0.01
Typereal
UnitQSU
Precision0.01
Typereal
UnitQSU
Precision0.01
Typereal
UnitQSU
Precision0.01
Typereal
UnitQSU
Precision0.01
Typereal
UnitQSU
Precision0.01
Typereal
UnitQSU
Precision0.01
Typereal
UnitQSU
Precision0.01
Typereal
UnitQSU
Precision0.01
Typereal
UnitQSU
Precision0.01
Typereal
Unitpercent
Precision0.01
Typereal
Unitpercent
Precision0.01
Typereal
Unitpercent
Precision0.01
Typereal
Unitpercent
Precision0.01
Typereal
Unitpercent
Precision0.01
Typereal
Unitpercent
Precision0.01
Typereal
Unitpercent
Precision0.01
Typereal
Unitpercent
Precision0.01
Typereal
Missing Value Code:      
Code-9999.00
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ExplValue will never be recorded
Accuracy Report:                                                    
Accuracy Assessment:                                                    
Coverage:                                                    
Methods:       Method InfoMethod Info   Method InfoMethod InfoMethod InfoMethod InfoMethod InfoMethod InfoMethod InfoMethod InfoMethod InfoMethod InfoMethod InfoMethod InfoMethod InfoMethod InfoMethod InfoMethod InfoMethod InfoMethod 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, Dissolved organic matter, Taylor Slough, Shark River Slough, Fluorescence Index, Absorbance, Specific UV absorbance, fluorescence, water, total organic carbon, estuarine, sulfate, emissions

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:

Total organic carbon (TOC) concentrations were analyzed by a high-temperature combustion method with a Shimadzu TOC-5000A TOC analyzer. In advance the analysis, samples were acidified with 3M HCl, and purged with N2 gas to remove inorganic C. Ancillary physical and chemical parameters were measured using standar methods as part of on-going estuarine water quality monitoring program http://www.serc.fiu.edu/wqmnetwork. Detailed methods will be found elsewhere. For escitation-emission matrix (EEM) measurements, fluorescences spectra were measured with a Jobin-Yvon-Horiba (France) Spex Fluoromax-3 fluorometer equipped with a 150-W continuous output xenon arc lamp under condition of 5.7-nm excitation and 2-nm emission slit widths and a 0.25 second response time. Forty-four emission scans were acquired at excitation wavelengths (lamda ex) between 240 and 455 nm at 5 nm intervals. Them emission wavelengths were scanned from lamda ex + 10 nm to lamda ex + 250 nm at 2 nm intervals (Coble et al., 1993 and Coble, 1996). All fluorescence spectra were acquired in ratio mode, whereby the sample (emission signal, S) and reference (excitation lamp output, R) signals were collected and the ratio (S/R) was calculated. The ratio mode eliminates the influence of possible fluctuation and wavelength dependency of excitation lamp output. Several post-acquisition steps were involved in the correction of the fluorescence spectra. First, an inner filter corrections was applied to the fluorescence data according to McKnight et al. (2001). After inner filter corrections the sample EEM underwent spectral subtraction of the Milli-Q water to remove most of the effects due to Raman scattering. Instrument bias related to wavelength dependent efficiencies of the specific instrument's optical components (gratings, mirrors, etc.) were then corrected by applying multiplication factors, supplied by the manufacturer, for both excitation and emission wavelengths for the range of observations. Finally, the fluorescence intensity values were converted to quinine sulfate unit (QSU;1QSU=1 ngL-1 of quinine sulfate monohydroxide) to facilitate inter-laboratory comparisons (Coble et al., 1993). From the 370 nm scan a fluorescence index (FI) was calculated (McKnight et al., 2001). Milli-Q water was used as a reference for all fluorescence analysis. UV-visible measurements of the water samples were carried out with 1cm quartz UV-visible cells at room temperature (20 degrees C), using a Varian CARY 50 Bio UV-visible spectrophotometer. Milli-Q water was used as the reference.

References:

Battin, T J 1998. Dissolved organic matter and its optical properties in a blackwater tributary of the upper Orinoco river, Venezuela. Organic Geochemistry, 28: 561-569.

Chen, Meilian L. 2010. Comparative study of dissolved organic matter from groundwater and surface water in the Florida costal Everglades using multi-dimensional spectrofluorometry combined with multivariate statistics. Applied Geochemistry, 25: 872-880.

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

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

Helms, John R. 2008. Absorption spectral slopes and slope ratios as indicators of molecular weight, source, and photobleaching of chromophoric dissolved organic matter. Limnology and Oceanography, 53(3): 955-969.

Lu, X Q 2003. Molecular characterization of dissolved organic matter in freshwater wetlands of the Florida Everglades. Water Research, 37: 2599-2606.

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

Stedmon, Colin A. 2003. Tracing dissolved organic matter in aquatic environments using a new approach to fluorescence spectroscopy . Marine Chemistry, 82: 239-254.

Weishaar, James 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.

Yamashita, Youhei 2010. Dissolved organic matter characteristics across a subtropical wetland's landscape: Application of optical properties in the assessment of environmental dynamics. Ecosystems, 13: 1006-1019.

Instrument(s):Whatman 0.7um glass fiber filers, Shimadzu TOC-5000A Analyzer, Jobin Yvon Horiba (France) Spex Fluoromax-3 fluorometer, Varian CARY 50 Bio UV visible spectrophotometer
Sampling Area and Study Extent
Sampling Description:

Water samples were collected monthly during October 2004 to September 2008 from a total of 17 sampling stations located in the coastal estuaries of the southern tip of the Florida Peninsula, USA. These stations were established for an on-going water quality monitoring program (http://www.serc.fiu.edu/wqmnetwork). Sampling stations can be largely grouped into 3 distinct districts based on the geomorphological features, that is, Florida Bay (FB, 3 sampling stations), Shark River Slough (SRS, 6 sampling stations), and Taylor Slough (TSPH, 8 sampling stations). Surface water samples were taken from the these stations. The samples were collected using pre-washed, brown Nalgen polyethylene bottles (Nalge Nunc International). Salinity of the water samples was measured in the field using an Orion salinity meter. The samples were stored on ice and returned to the laboratory within 8 h for analysis. Subsamples for spectroscopic analysis were filtered through precombusted Whatman GF/F glass fiber filters once received in the laboratory and analyzed immediately.

Sampling Area And Frequency:

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

Quality Control
Quality Control Step 1: 
Description:

Fluorescence measurements are corrected for internal absorbance quenching. Fluorescence spectra are corrected for internal instrument configuration using excitation and emission correction factors. For DOC, Humic carbon and carbohydrate data, we create calibration curves with standards and then graph the data.

These methods, instrumentation, and/or protocols apply to the data table LT_ND_Jaffe_004:

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

Calculations: Emission intensity at 470 nm/emission intensity at 520 nm at a fixed excitation wavelength of 370 nm

These methods, instrumentation and/or protocols apply to the data table column: Absorbance (A_254)
Methods and protocols used in the collection of this data package
Description:

Calculations: measured (254 nm, m-1); note that 1-cm pathlength used

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

Calculations: Ratio of A_254 to DOC

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

Calculations: measured (254 nm, m-1)

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

Calculations: Ratio of Abs Naperian m-1 to DOC

These methods, instrumentation and/or protocols apply to the data table column: C1 (C1)
Methods and protocols used in the collection of this data package
Description:

Calculations: Run PARAFAC model to EEM

These methods, instrumentation and/or protocols apply to the data table column: C2 (C2)
Methods and protocols used in the collection of this data package
Description:

Calculations: Run PARAFAC model to EEM

These methods, instrumentation and/or protocols apply to the data table column: C3 (C3)
Methods and protocols used in the collection of this data package
Description:

Calculations: Run PARAFAC model to EEM

These methods, instrumentation and/or protocols apply to the data table column: C4 (C4)
Methods and protocols used in the collection of this data package
Description:

Calculations: Run PARAFAC model to EEM

These methods, instrumentation and/or protocols apply to the data table column: C5 (C5)
Methods and protocols used in the collection of this data package
Description:

Calculations: Run PARAFAC model to EEM

These methods, instrumentation and/or protocols apply to the data table column: C6 (C6)
Methods and protocols used in the collection of this data package
Description:

Calculations: Run PARAFAC model to EEM

These methods, instrumentation and/or protocols apply to the data table column: C7 (C7)
Methods and protocols used in the collection of this data package
Description:

Calculations: Run PARAFAC model to EEM

These methods, instrumentation and/or protocols apply to the data table column: C8 (C8)
Methods and protocols used in the collection of this data package
Description:

Calculations: Run PARAFAC model to EEM

These methods, instrumentation and/or protocols apply to the data table column: Sum of the loadings for all 8 PARAFAC components (AKA total modeled fluorescence intensity) (SUM)
Methods and protocols used in the collection of this data package
Description:

Calculations: Run PARAFAC model to EEM

These methods, instrumentation and/or protocols apply to the data table column: %C1 (%C1)
Methods and protocols used in the collection of this data package
Description:

Calculations: Individual absolute value over sum of all absolute values

These methods, instrumentation and/or protocols apply to the data table column: %C2 (%C2)
Methods and protocols used in the collection of this data package
Description:

Calculations: Individual absolute value over sum of all absolute values

These methods, instrumentation and/or protocols apply to the data table column: %C3 (%C3)
Methods and protocols used in the collection of this data package
Description:

Calculations: Individual absolute value over sum of all absolute values

These methods, instrumentation and/or protocols apply to the data table column: %C4 (%C4)
Methods and protocols used in the collection of this data package
Description:

Calculations: Individual absolute value over sum of all absolute values

These methods, instrumentation and/or protocols apply to the data table column: %C5 (%C5)
Methods and protocols used in the collection of this data package
Description:

Calculations: Individual absolute value over sum of all absolute values

These methods, instrumentation and/or protocols apply to the data table column: %C6 (%C6)
Methods and protocols used in the collection of this data package
Description:

Calculations: Individual absolute value over sum of all absolute values

These methods, instrumentation and/or protocols apply to the data table column: %C7 (%C7)
Methods and protocols used in the collection of this data package
Description:

Calculations: Individual absolute value over sum of all absolute values

These methods, instrumentation and/or protocols apply to the data table column: %C8 (%C8)
Methods and protocols used in the collection of this data package
Description:

Calculations: Individual absolute value over sum of all absolute values

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,
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
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: 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: 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:Ex-Post Doctorate
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:garaduate Student
Individual: Meilian Chen
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:
mchen004@fiu.edu
Web Address:
http://serc.fiu.edu/sercindex/index.htm
Role:garaduate 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:
2004-10-01
End:
2014-02-01
Sampling Site: 
Description:SRS2
Site Coordinates:
Longitude (degree): -80.78520692Latitude (degree): 25.54972811
Sampling Site: 
Description:SRS3
Site Coordinates:
Longitude (degree): -80.85327617Latitude (degree): 25.46820617
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/Ph3
Site Coordinates:
Longitude (degree): -80.66271768Latitude (degree): 25.25240534
Sampling Site: 
Description:TS/Ph4
Site Coordinates:
Longitude (degree): -80.52209443Latitude (degree): 25.31472178
Sampling Site: 
Description:TS/Ph7a
Site Coordinates:
Longitude (degree): -80.63910514Latitude (degree): 25.19080491

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

Maintenance

Maintenance:
Description:

knb-lter-fce.1174.8: Updated metadata to EML 2.2.0, added creator ORCID and organization ROR ids, updated project information with award elements; added .csv extension to data file name (no changes to data)

knb-lter-fce.1174.7: Updated Metadata to reflect that this dataset is short-term.

knb-lter-fce.1174.6: Updated Metadata to reflect that this dataset is short-term.

knb-lter-fce.1174.5: Updated Metadata to reflect that this dataset is short-term. This is a short-term DOM dataset. As per Dr. Rudolf Jaffe, these data will NOT be updated. This dataset replaces the original version of LT_ND_Jaffe_004. The FCE program is discontinuing its practice of versioning data as of March 2013.

knb-lter-fce.1174.4: New Data Appended and a complete change of measurements and measurement locations compared to previous version

knb-lter-fce.1174.3: Added new Data download URL and new FCE III Project information

knb-lter-fce.1174.2: This is a long-term DOM dataset and subsequent data will be appended. This dataset replaces the original version of LT_ND_Jaffe_004. The FCE program is discontinuing its practice of versioning data as of March 2013.

Frequency:
Other Metadata

Additional Metadata

additionalMetadata
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        |___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' = 'litersPerMeterMilligram'
        |     |     |     |  \___attribute 'name' = 'litersPerMeterMilligram'
        |     |     |     |  \___attribute 'unitType' = '0'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |     |___text 'litersPerMeterMilligram This is the reciprocal of MassDensity'
        |     |     |     |___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' = '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.'
        |     |     |     |___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 '2015-07-29'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'LTERsites'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'sitename'
        |     |     |     |     |___text 'SRS2, SRS3, SRS4,SRS6, TS/Ph2, TS/Ph3, TS/Ph4, TS/Ph7a'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'datasetSubmissionNotes'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'notes'
        |     |     |     |     |___text 'This is a short-term DOM dataset. As per Dr. Rudolf Jaffe, these data will NOT be updated. Please note that the methods have changed in this new version (1174.4) so the measurements and values for the measurements have changed when compared to the previous version. This new version 1174.4 is considered the correct version. No missing value code has been assigned to \'blank\' cells as those values may be submitted in future data set versions. If data are missing a -9999 code will be assigned.'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'datasetInfoManagementNotes'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'notes'
        |     |     |     |     |___text 'These data are related to the monthly monitoring of Fluorescence data found in LT_ND_Jaffe_001. This is a long-term DOM dataset and subsequent data will be appended. This dataset replaces the original version of LT_ND_Jaffe_004. 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' = '2024-02-25'
        |     |        \___attribute 'packageID' = 'knb-lter-fce.1174.7'
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'importedFromXML'
        |     |        \___attribute 'dateImported' = '2024-02-25'
        |     |        \___attribute 'filename' = 'knb-lter-fce.1174.7.xml'
        |     |        \___attribute 'taxonomicCoverageExempt' = 'True'
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'emlEditor'
        |     |        \___attribute 'app' = 'ezEML'
        |     |        \___attribute 'release' = '2024.02.21'
        |     |___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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