Data Package Metadata   View Summary

Water Quality Data (Grab Samples) from the Shark River Slough, Everglades National Park (FCE LTER), Florida, USA, May 2001 - ongoing

General Information
Data Package:
Local Identifier:knb-lter-fce.1073.17
Title:Water Quality Data (Grab Samples) from the Shark River Slough, Everglades National Park (FCE LTER), Florida, USA, May 2001 - ongoing
Alternate Identifier:LT_ND_Grahl_002
Alternate Identifier:DOI PLACE HOLDER
Abstract:

Water quality samples are being collected using ISCO autosamplers at all Florida Coastal Everglades Long Term Ecological Research (FCE LTER) Program wetland sites (that is, all sites except TS/Ph-9, 10, and 11). The autosamplers contain 24 1L bottles. Water is sampled by programming the autosamplers to take composite samples once every 3 days. These samples are a composite of four 250mL subsamples drawn every 18 hours (a sampling scheme that captures a dawn, noon, dusk, and midnight sample in every three day composite). The samples are collected every 3-4 weeks and analyzed for total phosphorus (TP), total nitrogen (TN), and salinity. When sites are visited to collect these samples, we also collect a grab sample that is immediately put on ice. A portion of these grab samples is filtered through a Whatman GF/F filter immediately upon return to the lab, and the filtered samples are analyzed for inorganic nutrients such as NO2-, NO3-, NH4+, SRP, and DOC. The unfiltered fraction of these grab samples is analyzed for TP and TN. We use these monthly grab samples to generate relationships between TP and SRP, and between TN and NO2- + NO3- + NH4+. Dissolved nutrients are measured using standard rapid flow analyzer (RFA) techniques. TP is analyzed with a modified Solorzano and Sharp (1980) technique. TN is measured with an ANTEK 9000N analyzer, TOC and DOC are quantified on a Shimadzu TOC Analyzer, and salinity is measured with a YSI conductivity meter or refractometer. In January 2007 a 6 days interval began for SRS1d, SRS2 & SRS3; the ISCOs did not change their sampling scheduled, they kept collecting water sample every 18 hours and switching bottles every three days; once in the lab, the 3 days was turned into 6 days by combining two bottles into 2 liters container. In addition to the regular water quality monitoring, we use the rain level actuators at all freshwater sites to trigger water sampling after rain events exceed a given threshold of duration and/or intensity. As currently programmed, when the threshold of = 2.5 cm of rain per hour is passed, the autosampler at that site collects a 1000mL sample 30 minutes after the threshold has been reached. Rain event samples are collected, treated, and analyzed as all other water quality samples.

Related Shark River Slough water quality data packages:

ISCO extensive water quality (https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-fce&identifier=1072)

Rainfall-driven autosampler water quality (https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-fce&identifier=1253)

Related Taylor Slough water quality data packages:

ISCO extensive water quality from TS/Ph1a, TS/Ph1b (inactive), TS/Ph2, and TS/Ph3 (https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-fce&identifier=1079)

ISCO extensive water quality from TS/Ph6a, TS/Ph7a, and TS/Ph8 (inactive) (https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-fce&identifier=1074)

Grab sample water quality from TS/Ph1a, TS/Ph1b (inactive), TS/Ph2, and TS/Ph3 (https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-fce&identifier=1080)

Grab sample water quality from TS/Ph6a, TS/Ph7a, and TS/Ph8 (inactive) (https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-fce&identifier=1075)

Publication Date:2024-11-14
For more information:
Visit: https://fce-lter.fiu.edu/perl/public_data_download.pl?datasetid=LT_ND_Grahl_002.csv
Visit: DOI PLACE HOLDER

Time Period
Begin:
2001-05-23
End:
2023-12-07

People and Organizations
Contact:Information Manager (Florida Coastal Everglades LTER) [  email ]
Creator:Gaiser, Evelyn 
Creator:Childers, Daniel 
Creator:Travieso, Rafael 
Associate:Iwaniec, David (Florida Coastal Everglades LTER, Masters Student)
Associate:Rondeau, Damon (Florida Coastal Everglades LTER, Technical Staff)
Associate:Rubio, Gustavo (Florida Coastal Everglades LTER, Masters Student)
Associate:Losada, Greg (Florida Coastal Everglades LTER, Technical Staff)
Associate:Verdon, Emilie (Florida Coastal Everglades LTER, Masters Student)
Associate:Grahl, Tim (Florida Coastal Everglades LTER, Technical Staff)

Data Entities
Data Table Name:
LT_ND_Grahl_002.csv
Description:
Water Quality Data (Grab Samples) from the Shark River Slough, Everglades National Park, South Florida
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-fce/1073/17/db2ae91d832be2f2d538bad798c35977
Name:LT_ND_Grahl_002.csv
Description:Water Quality Data (Grab Samples) from the Shark River Slough, Everglades National Park, South Florida
Number of Records:1590
Number of Columns:13

Table Structure
Object Name:LT_ND_Grahl_002.csv
Size:136905 byte
Authentication:b053d16be9100771fd0553dc7c3a9988 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
 sitenamedatetimesalinitytotal nitrogentotal phosphorustotal organic carbonammoniumnitrate and nitritenitritesoluble reactive phosphorusdissolved organic carbonnitrate
Column Name:SITENAME  
Date  
Time  
Salinity  
TN  
TP  
TOC  
NH4  
NandN  
NO2  
SRP  
DOC  
NO3  
Definition:Name of LTER siteCollection dateCollection timeComposite salinityComposite total nitrogenComposite total phosphorusComposite total organic carbonammoniumnitrate and nitritenitritesoluble reactive phosphorusdissolved organic carbonnitrate
External Measurement Definition, Link: containsMeasurementsOfType salinity,
has unit Practical salinity unit
has unit Micromoles per litre has unit Micromoles per litre has unit Micromoles per litre has unit Micromoles per litre has unit Micromoles per litre has unit Micromoles per litre has unit Micromoles per litre has unit Micromoles per litre has unit Micromoles per litre
Storage Type:string  
datetime  
datetime  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
Measurement Type:nominaldateTimedateTimeratioratioratioratioratioratioratioratioratioratio
Measurement Values Domain:
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeSRS1a
DefinitionFCE LTER Site SRS1a
Source
Code Definition
CodeSRS1c
DefinitionFCE LTER Site SRS1c
Source
Code Definition
CodeSRS1d
DefinitionFCE LTER Site SRS1d
Source
Code Definition
CodeSRS2
DefinitionFCE LTER Site SRS2
Source
Code Definition
CodeSRS3
DefinitionFCE LTER Site SRS3
Source
Code Definition
CodeSRS4
DefinitionFCE LTER Site SRS4
Source
Code Definition
CodeSRS5
DefinitionFCE LTER Site SRS5
Source
Code Definition
CodeSRS6
DefinitionFCE LTER Site SRS6
Source
FormatYYYY-MM-DD
Precision1
Formathh:mm
Precision1
UnitPSU
Precision0.1
Typereal
UnitmicroMolesPerLiter
Precision0.001
Typereal
UnitmicroMolesPerLiter
Precision0.01
Typereal
UnitmicroMolesPerLiter
Precision0.001
Typereal
UnitmicroMolesPerLiter
Precision0.01
Typereal
UnitmicroMolesPerLiter
Precision0.01
Typereal
UnitmicroMolesPerLiter
Precision0.01
Typereal
UnitmicroMolesPerLiter
Precision0.01
Typereal
UnitmicroMolesPerLiter
Precision0.001
Typereal
UnitmicroMolesPerLiter
Precision0.01
Typereal
Missing Value Code:    
Code-9999
ExplValue will never be recorded
Code-9999.0
ExplValue will never be recorded
Code-9999.000
ExplValue will never be recorded
Code-9999.00
ExplValue will never be recorded
Code-9999.000
ExplValue will never be recorded
Code-9999.00
ExplValue will never be recorded
Code-9999.00
ExplValue will never be recorded
Code-9999.00
ExplValue will never be recorded
Code-9999.00
ExplValue will never be recorded
Code-9999.000
ExplValue will never be recorded
Code-9999.00
ExplValue will never be recorded
Accuracy Report:                          
Accuracy Assessment:                          
Coverage:                          
Methods:         Method Info   Method Info         Method 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:
FCE Keyword ListFCE, Florida Coastal Everglades LTER, ecological research, long-term monitoring, water quality, inorganic nutrients, salinity, TN, biogeochemistry, TP, Shark River Slough, Everglades National Park, total nitrogen, total phosphorus, water, intensive, grab sample, TOC, NH4, N+N, NO2, SRP, DOC, NO3
LTER Controlled Vocabularylong term monitoring, wetlands, water quality, inorganic nutrients
LTER Core Research Areasinorganic nutrients

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:

Water quality samples are being collected using ISCO autosamplers at all wetland sites (that is, all sites except TS/Ph-9, 10, and 11). The autosamplers contain 24 1L bottles. Water is sampled by programming the autosamplers to take composite samples once every 3 days. These samples are a composite of four 250mL subsamples drawn every 18 hours (a sampling scheme that captures a dawn, noon, dusk, and midnight sample in every three day composite). The samples are collected every 3-4 weeks and analyzed for total phosphorus (TP), total nitrogen (TN), and salinity. When sites are visited to collect these samples, we also collect a grab sample that is immediately put on ice. A portion of these grab samples is filtered through a Whatman GF/F filter immediately upon return to the lab, and the filtered samples are analyzed for inorganic nutrients such as NO2-, NO3-, NH4+, SRP, and DOC. The unfiltered fraction of these grab samples is analyzed for TP and TN. We use these monthly grab samples to generate relationships between TP and SRP, and between TN and NO2- + NO3- + NH4+. Dissolved nutrients are measured using standard rapid flow analyzer (RFA) techniques. TP is analyzed with a modified Solorzano and Sharp (1980) technique. TN is measured with an ANTEK 9000N analyzer, TOC and DOC are quantified on a Shimadzu TOC Analyzer, and salinity is measured with a YSI conductivity meter or refractometer. In January 2007 a 6 days interval began for SRS1d, SRS2 & SRS3; the ISCOs did not change their sampling scheduled, they kept collecting water sample every 18 hours and switching bottles every three days; once in the lab, the 3 days was turned into 6 days by combining two bottles into 2 liters container. In addition to the regular water quality monitoring, we use the rain level actuators at all freshwater sites to trigger water sampling after rain events exceed a given threshold of duration and/or intensity. As currently programmed, when the threshold of = 2.5 cm of rain per hour is passed, the autosampler at that site collects a 1000mL sample 30 minutes after the threshold has been reached. Rain event samples are collected, treated, and analyzed as all other water quality samples.

Submission notes:

No salinity values for SRS1a from Jun-2001 to Jan-2005; for SRS1c from Jan-2005 to Jan-2006; for SRS1d from Jan-2006 to May-2017; for SRS2 from Jul 2001 to May 2017 and for SRS3 from Jun 2001 to May 2016.

No data for August 2001 sampling event for any site (SRS1c and SRS1d were not sites at this time).

SRS1c has no data for Mar-2005 or Apr-2005. SRS1d, SRS2, and SRS3 did not have a sample collected for Aug-2006 due to weather; instead, 2 intensive samples were collected in Sep-2006. SRS2 has no data for May-2002, Apr-2004, and May-2005. SRS3 has no data for Apr-2004.

SRS4, SRS5, and SRS6 have no data for March-2002 and Aug-2005.

No data due to site being dry: SRS1d in May-2009, Apr-2011, May-2011, Jun-2011, Jul-2011, Apr-2012, Apr-2015, May-2015, Jun-2015, Jul-2015 and Aug-2015; SRS2 in May-2009, Apr-2011, May-2011 and Jun-2011.

No samples collected in Sep-2017 for SRS4, SRS5 and SRS6.

No samples collected in Apr-2020 for SRS1d, SRS2, SRS3, SRS4, SRS5 and SRS6.

No sample collected in May-2020 for SRS2.

Instrument(s):ISCO Model 6700 & ISCO Model 6710 Auto-samplers, Whatman GF/F filters (0.7 um), Nalgene Reusable Inline Filter Holder, Monoject 140cc syringes, Computer
Sampling Area and Study Extent
Sampling Description:

Water quality samples are being collected using ISCO autosamplers at all wetland sites (that is, all sites except TS/Ph-9, 10, and 11). The autosamplers contain 24 1L bottles. Water is sampled by programming the autosamplers to take composite samples once every 3 days. These samples are a composite of four 250mL subsamples drawn every 18 hours (a sampling scheme that captures a dawn, noon, dusk, and midnight sample in every three day composite). The samples are collected every 3-4 weeks and analyzed for total phosphorus (TP), total nitrogen (TN), and salinity. When sites are visited to collect these samples, we also collect a grab sample that is immediately put on ice. A portion of these grab samples is filtered through a Whatman GF/F filter immediately upon return to the lab, and the filtered samples are analyzed for inorganic nutrients such as NO2-, NO3-, NH4+, SRP, and DOC. The unfiltered fraction of these grab samples is analyzed for TP and TN. We use these monthly grab samples to generate relationships between TP and SRP, and between TN and NO2- + NO3- + NH4+. Dissolved nutrients are measured using standard rapid flow analyzer (RFA) techniques. TP is analyzed with a modified Solorzano and Sharp (1980) technique. TN is measured with an Antec TN analyzer, TOC and DOC are quantified on a Shimadzu TOC Analyzer, and salinity is measured with a YSI conductivity meter or refractometer. In January 2007 a 6 days interval began for SRS1d, SRS2 & SRS3; the ISCOs did not change their sampling scheduled, they kept collecting water sample every 18 hours and switching bottles every three days; once in the lab, the 3 days was turned into 6 days by combining two bottles into 2 liters container. In addition to the regular water quality monitoring, we use the rain level actuators at all freshwater sites to trigger water sampling after rain events exceed a given threshold of duration and/or intensity. As currently programmed, when the threshold of = 2.5 cm of rain per hour is passed, the autosampler at that site collects a 1000mL sample 30 minutes after the threshold has been reached. Rain event samples are collected, treated, and analyzed as all other water quality samples.

Sampling Area And Frequency:

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

Quality Control
Quality Control Step 1: 
Description:

Data that already meets Lab QA/QC is then evaluated by a Field Technician for patterns and trends, and finally by the PI for patterns and trends. When looking at patterns and trends, the Field Technician and/or PI looks for any values that "spike" or "valley" with an above/below quanity greater than double preceding and post values.

These methods, instrumentation, and/or protocols apply to the data table LT_ND_Grahl_002.csv:

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

Calculations: TN(uM)=TN(ppm)*1000/14

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

Calculations: TOC(uM)=TOC(ppm)*1000/12

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

Calculations: DOC(uM)=DOC(ppm)*1000/12

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. Evelyn Gaiser
Address:
11200 S.W. 8th Street,
Miami, Florida 33199 USA
Phone:
305-348-6145 (voice)
Phone:
305-348-4096 (fax)
Email Address:
gaisere@fiu.edu
Web Address:
http://algae.fiu.edu/
Id:https://orcid.org/0000-0003-2065-4821
Individual:Dr. Daniel Childers
Address:
Arizona State University,
PO Box 875502,
Tempe, AZ 85287 USA
Phone:
480-965-2320 (voice)
Phone:
480-965-8087 (facsimile)
Email Address:
dan.childers@asu.edu
Id:https://orcid.org/0000-0003-3904-0803
Individual: Rafael Travieso
Address:
Florida International University,
11200 SW 8th Street, OE 148,
Miami, FL 33199 USA
Phone:
305-348-7286 (voice)
Phone:
305-348-4096 (facsimile)
Email Address:
travieso@fiu.edu
Web Address:
http://algae.fiu.edu/
Id:https://orcid.org/0000-0003-4747-6877
Contacts:
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: David Iwaniec
Organization:Florida Coastal Everglades LTER
Address:
Florida International University,
11200 SW 8th Street, OE 148,
Miami, FL 33199 USA
Phone:
305-348-1576 (voice)
Phone:
305-348-4096 (facsimile)
Email Address:
iwaniecd@fiu.edu
Role:Masters Student
Individual: Damon Rondeau
Organization:Florida Coastal Everglades LTER
Address:
Florida International University,
11200 SW 8th Street, OE 148,
Miami, FL 33199 USA
Phone:
305-348-1576 (voice)
Phone:
305-348-4096 (facsimile)
Email Address:
rondeaud@fiu.edu
Role:Technical Staff
Individual: Gustavo Rubio
Organization:Florida Coastal Everglades LTER
Address:
Florida International University,
11200 SW 8th Street, OE 148,
Miami, FL 33199 USA
Phone:
305-348-1576 (voice)
Phone:
305-348-4096 (facsimile)
Email Address:
rubiog@fiu.edu
Role:Masters Student
Individual: Greg Losada
Organization:Florida Coastal Everglades LTER
Address:
Florida International University,
11200 SW 8th Street, OE 148,
Miami, FL 33199 USA
Phone:
305-348-1576 (voice)
Phone:
305-348-4096 (facsimile)
Email Address:
glosa001@fiu.edu
Role:Technical Staff
Individual: Emilie Verdon
Organization:Florida Coastal Everglades LTER
Address:
Florida International University,
11200 SW 8th Street, OE 148,
Miami, FL 33199 USA
Phone:
305-348-1576 (voice)
Phone:
305-348-4096 (facsimile)
Email Address:
everd002@fiu.edu
Role:Masters Student
Individual: Tim Grahl
Organization:Florida Coastal Everglades LTER
Address:
Florida International University,
11200 SW 8th Street, OE 148,
Miami, FL 33199 USA
Phone:
305-348-1576 (voice)
Phone:
305-348-4096 (facsimile)
Email Address:
grahlt@fiu.edu
Role:Technical Staff
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:
2001-05-23
End:
2023-12-07
Sampling Site: 
Description:FCE LTER Site SRS1a
Site Coordinates:
Longitude (degree): -80.727Latitude (degree): 25.761
Sampling Site: 
Description:FCE LTER Site SRS1c
Site Coordinates:
Longitude (degree): -80.57Latitude (degree): 25.75
Sampling Site: 
Description:FCE LTER Site SRS1d
Site Coordinates:
Longitude (degree): -80.65Latitude (degree): 25.75
Sampling Site: 
Description:FCE LTER Site SRS2
Site Coordinates:
Longitude (degree): -80.785Latitude (degree): 25.55
Sampling Site: 
Description:FCE LTER Site SRS3
Site Coordinates:
Longitude (degree): -80.853Latitude (degree): 25.468
Sampling Site: 
Description:FCE LTER Site SRS4
Site Coordinates:
Longitude (degree): -80.964Latitude (degree): 25.41
Sampling Site: 
Description:FCE LTER Site SRS5
Site Coordinates:
Longitude (degree): -81.032Latitude (degree): 25.377
Sampling Site: 
Description:FCE LTER Site SRS6
Site Coordinates:
Longitude (degree): -81.078Latitude (degree): 25.365

Project

Parent Project Information:

Title:Florida Coastal Everglades LTER: Coastal Oligotrophic Ecosystems Research-the Coastal Everglades
Personnel:
Individual: Daniel Childers
Id:https://orcid.org/0000-0003-3904-0803
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
Id:https://orcid.org/0000-0003-2065-4821
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
Id:https://orcid.org/0000-0002-0811-8500
Role:Co-Principal Investigator
Individual: Evelyn Gaiser
Id:https://orcid.org/0000-0003-2065-4821
Role:Co-Principal Investigator
Individual: Jennifer Rehage
Id:https://orcid.org/0000-0003-0009-6906
Role:Co-Principal Investigator
Individual: Kevin Grove
Id:https://orcid.org/0000-0001-9114-5050
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:FCE LTER (Dan Childers) Water Quality, Productivity, Soil nutrients/physical characteristics, and physical data
Personnel:
Individual: Daniel Childers
Organization:Florida Coastal Everglades LTER Program
Address:
Department of Biological Sciences,
Florida International University,
University Park,
OE 167,
Miami, FL 33199 USA
Phone:
305-348-3101 (voice)
Phone:
305-348-1986 (fax)
Email Address:
childers@fiu.edu
Role:Lead Principal Investigator
Abstract:

For SRS1(a,b,c), SRS2, and SRS3 collections of samples for Water Quality, Productivity, Soil nutrients/physical characteristics, and physical data (rainfall/water level) are used to help answer key FCE-LTER questions.For SRS4, SRS5, and SRS6 collections of samples for Water Quality and physical data (water level) are used to help answer key FCE-LTER questions.

Funding:

National Science Foundation under Grant # 9910514

Additional Award Information:
Funder:National Science Foundation
Funder ID:http://dx.doi.org/10.13039/100000001
Number:9910514
Title:FCE LTER (Dan Childers) Water Quality, Productivity, Soil nutrients/physical characteristics, and physical data
URL:https://www.nsf.gov/awardsearch/showAward?AWD_ID=9910514

Maintenance

Maintenance:
Description:

1073.17: Added new data through 2023; updated metadata (including addition of QUDT unit annotations)

1073.16: Metadata and Data update

1073.15: Metadata and Data update

1073.14: Metadata and Data update

1073.13: Metadata and Data update

1073.12: Metadata and Data update

1073.11: Metadata and Data update

1073.10: Updated data

1073.9: Appended new data:

1073.8:Updated Metadata Data Originator

1073.7: Added New Data

1073.6: Corrected record delimiter to

1073.5: Appended New Data

1073.4: Updated metadata

1073.3: Added new Data download URL and new FCE III Project information

1073.2: New data added thru February 12, 2013; From 730 records to 825 records

1073.1: This is a long-term biogeochemistry dataset and subsequent data will be appended. This dataset replaces all previous versions of LT_ND_Grahl_002 original and (v1-v8). 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 'additionalDataset'
        |     |     |___text '\n            '
        |     |     |___element 'researchType'
        |     |     |     |___text 'Long-term'
        |     |     |___text '\n            '
        |     |     |___element 'DatasetDistributionTypeandRestrictions'
        |     |     |     |___text 'Type I- Funded by NSF LTER program'
        |     |     |___text '\n            '
        |     |     |___element 'LTERsites'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'sitename'
        |     |     |     |     |___text 'SRS1a, SRS1c, SRS1d, SRS2, SRS3, SRS4, SRS5, SRS6'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'projectHypotheses'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'para'
        |     |     |     |     |___text 'Our long term research program focuses on the following central objective: 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.'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'projectPermits'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'permit'
        |     |     |     |     |___text 'National Park Service scientific research and collecting permit EVER-2001-SCI-0071, National Park Service scientific research and collecting permit EVER-2002-SCI-0070, National Park Service scientific research and collecting permit EVER-2003-SCI-0067, National Park Service scientific research and collecting permit EVER-2004-SCI-0070, National Park Service scientific research and collecting permit EVER-2005-SCI-0081, National Park Service scientific research and collecting permit EVER-2007-SCI-0065, National Park Service scientific research and collecting permit EVER-2009-SCI-0070, National Park Service scientific research and collecting permit EVER-2011-SCI-0071, National Park Service scientific research and collecting permit EVER-2013-SCI-0058, National Park Service scientific research and collecting permit EVER-2015-SCI-0062, National Park Service scientific research and collecting permit EVER-2017-SCI-0054, National Park Service scientific research and collecting permit EVER-2019-SCI-0055, National Park Service scientific research and collecting permit EVER-2022-SCI-0029, National Park Service scientific research and collecting permit EVER-2023-SCI-0011'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'datasetInfoManagementNotes'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'notes'
        |     |     |     |     |___text 'This is a long-term biogeochemistry dataset and subsequent data will be appended.'
        |     |     |     |___text '\n            '
        |     |     |___text '\n         '
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'fetchedFromEDI'
        |     |        \___attribute 'dateFetched' = '2024-03-13'
        |     |        \___attribute 'packageID' = 'knb-lter-fce.1073.16'
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'importedFromXML'
        |     |        \___attribute 'dateImported' = '2024-03-13'
        |     |        \___attribute 'filename' = 'knb-lter-fce.1073.16.xml'
        |     |        \___attribute 'taxonomicCoverageExempt' = 'True'
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'unitList' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unitList')
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'PSU'
        |     |     |     |  \___attribute 'name' = 'PSU'
        |     |     |     |  \___attribute 'unitType' = 'dimensionless'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |     |___text 'practical salinity units'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'microMolesPerLiter'
        |     |     |     |  \___attribute 'multiplierToSI' = '0.000001'
        |     |     |     |  \___attribute 'name' = 'microMolesPerLiter'
        |     |     |     |  \___attribute 'parentSI' = 'molarity'
        |     |     |     |  \___attribute 'unitType' = 'amountOfSubstanceConcentration'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |     |___text 'µM = µmoles per liter of solution'
        |     |     |     |___text '\n            '
        |     |     |___text '\n         '
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'emlEditor'
        |     |        \___attribute 'app' = 'ezEML'
        |     |        \___attribute 'release' = '2024.10.30'
        |     |___text '\n      '
        |___text '\n   '

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