Data Package Metadata   View Summary

Flux measurements from the SRS-6 Tower, Shark River Slough, Everglades National Park, South Florida (FCE) from January 2004 to August 2005

General Information
Data Package:
Local Identifier:knb-lter-fce.1151.3
Title:Flux measurements from the SRS-6 Tower, Shark River Slough, Everglades National Park, South Florida (FCE) from January 2004 to August 2005
Alternate Identifier:ST_PP_Barr_006
Alternate Identifier:DOI PLACE HOLDER
Abstract:

Above canopy measurements of carbon dioxide fluxes and sensible and latent heating were obtained with an open path eddy covariance system positioned on the tower at 26-m. Additionally, measurements of solar irradiance, wind speed, air temperature and humidity were made every half hour.

Publication Date:2024-02-21
For more information:
Visit: DOI PLACE HOLDER

Time Period
Begin:
2004-01-01
End:
2005-08-31

People and Organizations
Contact:Barr, Jordan (Everglades National Park, Scientist, data manager) [  email ]
Contact:Information Manager (Florida Coastal Everglades LTER) [  email ]
Creator:Barr, Jordan (Florida Coastal Everglades LTER Program, Data manager)
Creator:Fuentes, Jose (Florida Coastal Everglades LTER Program, Project PI)
Creator:Zieman, Joseph (Florida Coastal Everglades LTER Program, Project Collaborator)
Associate:Barr, Jordan (Everglades National Park, Data manager)
Associate:Fuentes, Jose (The Pennsylvania State University, Project Collaborator)
Associate:Zieman, Joseph (University of Virginia, Project Collaborator)

Data Entities
Data Table Name:
ST_PP_Barr_006
Description:
Flux measurements from the SRS-6 Tower, Shark River Slough, Everglades National Park, South Florida (FCE)
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-fce/1151/3/bf84fbdff2b1b21c836756e1b93c1d3e
Name:ST_PP_Barr_006
Description:Flux measurements from the SRS-6 Tower, Shark River Slough, Everglades National Park, South Florida (FCE)
Number of Records:29232
Number of Columns:32

Table Structure
Object Name:ST_PP_Barr_006.csv
Size:5653549 byte
Authentication:5c1f8f9f4b61f9b081b66b4eb2e8e987 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 DateTimefluxfluxfluxvelocityspeeddirectiontemperaturetemperaturetemperaturetemperaturetemperaturetemperaturerelative humidityspecific humidityfluxtemperaturetemperaturetemperaturetemperatureirradianceirradianceirradianceirradiancetemperatureirradianceirradianceirradianceheightmixing ratiodate
Column Name:Date  
Time  
Sensible_Heat_Flux  
Latent_Heat _Flux  
CO2_Flux  
Friction_Velocity  
Ws  
Wdir  
AirTemp_1  
AirTemp_2  
AirTemp_3  
AirTemp_4  
AirTemp_5  
AirTemp  
RH  
SH  
Soil_Heat_Flux  
SoilTemp_1  
SoilTemp_2  
SoilTemp_3  
SoilTemp_4  
Solar_Irradiance_Incident  
Solar_Irradiance_Reflected  
Lin  
Lout  
Tcav  
Net_Irradiance  
Photosyn_Active_Irradiance_Incident  
Photosyn_Active_Irradiance_Reflected  
Stage  
Salinity  
DecimalDay  
Definition:Collection dateCollection timeSensible Heat Flux collected at 27 meters above ground surfaceLatent Heat Flux collected at 27 meters above ground surfaceCO2 Flux collected at 27 meters above ground surfaceFriction_Velocity collected at 27 meters above ground surfaceWind Speed collected at 27 meters above ground surfaceWind Direction collected at 27 meters above ground surfaceAir Temperature collected at 1.52 meters above ground surfaceAir Temperature at at 10.67 meters above ground surfaceAir Temperature collected at 15.24 meters above ground surfaceAir Temperature collected at 19.81 meters above ground surfaceAir Temperature collected at 26.52 meters above ground surfaceAir Temperature collected at 27 meters above ground surfaceRelative Humidity collected at 27 meters above ground surfaceSpecific Humidity collected at 27 meters above ground surfaceSoil Heat Flux collected at -0.05 meters (below ground surface)Soil Temperature collected at -0.02 meters (below ground surface)Soil Temperature collected at -0.05 meters (below ground surface)Soil Temperature collected at -0.10 meters (below ground surface)Soil Temperature collected at -0.20 meters (below ground surface)Solar Irradiance Incident collected at 27 meters above ground surfaceSolar Irradiance Reflected collected at 27 meters above ground surfaceincoming longwave collected at 27 meters above ground surfaceoutgoing longwave collected at 27 meters above ground surfacepanel temperature collected at 27 meters above ground surfaceNet Irradiance collected at 27 meters above ground surfacePhotosynthetically Active Irradiance Incident collected at 27 meters above ground surfacePhotosynthetically Active Irradiance Reflected collected at 27 meters above ground surfacestagesalinitydecimal day, starting 1 Jan 2004
Storage Type:datetime  
ordinal  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
data  
calculation  
Measurement Type:dateTimeintervalratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratiointervalratiointerval
Measurement Values Domain:
FormatYYYY-MM-DD
Precision1
UnitdecimalHour
Precision0.10
Typereal
UnitwattsPerMeterSquared
Precision0.10
Typereal
UnitwattsPerMeterSquared
Precision0.10
Typereal
UnitmicroMolesPerMetersSquaredPerSecond
Precision0.10
Typereal
UnitmetersPerSecond
Precision0.01
Typereal
UnitmetersPerSecond
Precision0.01
Typereal
Unitdegree
Precision0.10
Typereal
Unitcelsius
Precision0.01
Typereal
Unitcelsius
Precision0.01
Typereal
Unitcelsius
Precision0.01
Typereal
Unitcelsius
Precision0.01
Typereal
Unitcelsius
Precision0.01
Typereal
Unitcelsius
Precision0.01
Typereal
Unitpercent
Precision0.10
Typereal
UnitgramsPerKilogram
Precision0.10
Typereal
UnitwattsPerMeterSquared
Precision0.01
Typereal
Unitcelsius
Precision0.01
Typereal
Unitcelsius
Precision0.01
Typereal
Unitcelsius
Precision0.01
Typereal
Unitcelsius
Precision0.01
Typereal
UnitwattsPerMeterSquared
Precision0.10
Typereal
UnitwattsPerMeterSquared
Precision0.10
Typereal
UnitwattsPerMeterSquared
Precision0.10
Typereal
UnitwattsPerMeterSquared
Precision0.10
Typereal
Unitcelsius
Precision0.01
Typereal
UnitwattsPerMeterSquared
Precision0.10
Typereal
UnitmicroMolesPerMetersSquaredPerSecond
Precision0.10
Typereal
UnitmicroMolesPerMetersSquaredPerSecond
Precision0.10
Typereal
Unitmeter
Precision0.01
Typereal
UnitPSU
Precision0.01
Typereal
UnitserialDateNumberYear0000
Precision0.00
Typereal
Missing Value Code:    
Code-9999.0
ExplValue will never be recorded
Code-9999.0
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Code-9999.00
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Code-9999.0
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Code-9999.00
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Code-9999.00
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Code-9999.00
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Code-9999.0
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Code-9999.0
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Code-9999.0
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Code-9999.00
ExplValue will never be recorded
Code-9999.0
ExplValue will never be recorded
Code-9999.0
ExplValue will never be recorded
Code-9999.0
ExplValue will never be recorded
Code-9999.00
ExplValue will never be recorded
Code-9999.00
ExplValue will never be recorded
Code-9999.0000
ExplValue will never be recorded
Accuracy Report:                                                                
Accuracy Assessment:                                                                
Coverage:                                                                
Methods:                                                                

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 Areasprimary production
LTER Keyword ThesaurusFCE, Florida Coastal Everglades LTER, ecological research, long-term monitoring, Everglades National Park, irradiance, fluxes, air temperature, air, water, processes, soil temperature, temperature, carbon assimilation, eddy covariance, land-atmosphere exchange processes, primary productivity, Shark River Slough, flux, solar irradiance, photosynthetically active irradiance, net irradiance

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:

The eddy covariance method (Dennis Baldocchi at Cal Berkeley)

References:

Baldocchi, D. D. 2003-06-25. Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future. Global Change Biology, 9: 479-492.

Instrument(s):Flux tower and a listing of additional instrumentation can be found at http://www.people.virginia.edu/%7Ejf6s/pace/VFRFInstruments.html.
Sampling Area and Study Extent
Sampling Description:

Fluxes are determined as half hour averages of 10 Hz covariance measurements of vertical wind speed and the scalar of interest (e.g. CO2).

Sampling Area And Frequency:

The Study Extent of this dataset includes the SRS6 research site, Shark River Slough, Everglades National Park, South Florida

Quality Control
Quality Control Step 1: 
Description:

Dataset is inspected by PI for QA/QC; standard validation checks for negative numbers, graphs to detect potential outliers .

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. Jordan Barr
Organization:Florida Coastal Everglades LTER Program
Position:Data manager
Address:
South Florida Natural Resource Center,
Everglades National Park,
Homestead, FL 33030 USA
Phone:
305-224-4254 (voice)
Phone:
305-224-4147 (facsimile)
Email Address:
jordan_barr@nps.gov
Web Address:
http://www.nps.gov/ever/naturescience/sfnrcstaff.htm
Id:https://orcid.org/0000-0002-6460-3463
Individual:Dr. Jose Fuentes
Organization:Florida Coastal Everglades LTER Program
Position:Project PI
Address:
The Pennsylvania State University,
Department of Meteorology,
University Park, PA 16802 USA
Phone:
814-863-1585 (voice)
Email Address:
jdfuentes@psu.edu
Web Address:
http://micromet.psu.edu
Individual:Dr. Joseph Zieman
Organization:Florida Coastal Everglades LTER Program
Position:Project Collaborator
Address:
Department of Environmental Sciences,
Clark Hall,
University of Virginia,
Charlottesville, VA 22903 USA
Phone:
434-924-0570 (voice)
Phone:
434-924-7761 (fax)
Email Address:
jcz@virginia.edu
Web Address:
http://www.evsc.virginia.edu/
Contacts:
Individual: Jordan Barr
Organization:Everglades National Park
Position:Scientist, data manager
Address:
South Florida Natural Resource Center,
Everglades National Park,
3rd Floor, 950 N Krome Ave,
Homestead, FL 33030 USA
Phone:
305-224-4254 (voice)
Email Address:
jordan_barr@nps.gov
Web Address:
http://www.nps.gov/ever/naturescience/sfnrcstaff.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: Jordan Barr
Organization:Everglades National Park
Address:
South Florida Natural Resource Center,
Everglades National Park,
3rd Floor, 950 N Krome Ave,
Homestead, FL 33030 USA
Phone:
305-224-4254 (voice)
Phone:
305-224-4147 (fax)
Email Address:
jordan_barr@nps.gov
Web Address:
http://www.nps.gov/ever/naturescience/sfnrcstaff.htm
Role:Data manager
Individual: Jose Fuentes
Organization:The Pennsylvania State University
Address:
The Pennsylvania State University,
Department of Meteorology,
508 Walker Building,
University Park, PA 16802 USA
Phone:
814-863-1585 (voice)
Email Address:
jdfuentes@[si/edi
Web Address:
http://micromet.psu.edu
Role:Project Collaborator
Individual: Joseph Zieman
Organization:University of Virginia
Address:
Department of Environmental Sciences,
Clark Hall,
University of Virginia,
Charlottesville, VA 22903 USA
Phone:
434-924-0570 (voice)
Phone:
434-924-7761 (fax)
Email Address:
jcz@virginia.edu
Web Address:
http://www.evsc.virginia.edu/
Role:Project Collaborator
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:
2004-01-01
End:
2005-08-31
Sampling Site: 
Description:Data were collected at the SRS6 Tower, Shark River Slough, Everglades National Park, South Florida
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
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.1151.3: Updated metadata to EML 2.2.0, added creator ORCID and organization ROR ids, updated project information and added award information, added .csv extension to data file name (no changes to data)

knb-lter-fce.1151.2: Added new Data download URL and new FCE III Project information

knb-lter-fce.1151.1: This is a short-term primary production dataset. This dataset replaces all previous versions of ST_PP_Barr_006, ST_PP_Barr_006.v1 and ST_PP_Barr_006.v2. The FCE program is discontinuing its practice of versioning data as of March 2013.

Frequency:
Other Metadata

Additional Metadata

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        |     |___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' = 'decimalHour'
        |     |     |     |  \___attribute 'multiplierToSI' = '0'
        |     |     |     |  \___attribute 'name' = 'decimalHour'
        |     |     |     |  \___attribute 'parentSI' = '0'
        |     |     |     |  \___attribute 'unitType' = 'time'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |     |___text 'watts Per Meter Squared'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'wattsPerMeterSquared'
        |     |     |     |  \___attribute 'name' = 'wattsPerMeterSquared'
        |     |     |     |  \___attribute 'unitType' = '0'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |     |___text 'microMoles Per Meters Squared Per Second'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'microMolesPerMetersSquaredPerSecond'
        |     |     |     |  \___attribute 'name' = 'microMolesPerMetersSquaredPerSecond'
        |     |     |     |  \___attribute 'unitType' = '0'
        |     |     |     |___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            '
        |     |     |___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 'grams per kilogram'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'gramsPerKilogram'
        |     |     |     |  \___attribute 'name' = 'gramsPerKilogram'
        |     |     |     |  \___attribute 'unitType' = 'massPerMass'
        |     |     |     |___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' = 'PSU'
        |     |     |        \___attribute 'name' = 'PSU'
        |     |     |        \___attribute 'unitType' = 'dimensionless'
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |        \___attribute 'id' = 'serialDateNumberYear0000'
        |     |     |        \___attribute 'multiplierToSI' = '1'
        |     |     |        \___attribute 'name' = 'serialDateNumberYear0000'
        |     |     |        \___attribute 'parentSI' = '0'
        |     |     |        \___attribute 'unitType' = 'dimensionless'
        |     |     |___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 '2009-02-26'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'LTERsites'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'sitename'
        |     |     |     |     |___text 'SRS6'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'datasetSubmissionNotes'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'notes'
        |     |     |     |     |___text 'PLEASE NOTE: THIS FILE WILL REPLACE ST_PP_BARR_006 AND ST_PP_BARR_006.V1 and ST_PP_BARR_006.V2. 1. All quantities are half hour averages, and the time provided is the starting period. So, for time = 0, data is averaged from 0:00 to 0:30 hours. 2. During some periods, rain events produce invalid fluxes (for sensible and latent heat and CO2 flux). I replaced these values with zeros whenever possible. 3. Sometimes the air temperature measurement at 35 feet produces some spikes. I have not changed or eliminated these values because I usually take care of that in post-processing programs. 4. The quantum sensor that provides incoming photosynthetically active irradiance is often shaded sometime during the day because my boom on the tower is too short. I recommend just using solar irradiance to estimate this quantity. However, incoming photosynthetically active irradiance could still be useful if the data is properly filtered (but it would be a pain). 5. As you can imagine, it is not easy to really clean up this data set. I would just encourage someone using the data to take a close look at the diurnal profiles of any variable before proceeding.'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'datasetInfoManagementNotes'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'notes'
        |     |     |     |     |___text 'This is a short-term primary production dataset. This dataset replaces all previous versions of ST_PP_Barr_006, ST_PP_Barr_006.v1 and ST_PP_Barr_006.v2. 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' = '2024-02-21'
        |     |        \___attribute 'packageID' = 'knb-lter-fce.1151.2'
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'importedFromXML'
        |     |        \___attribute 'dateImported' = '2024-02-21'
        |     |        \___attribute 'filename' = 'knb-lter-fce.1151.2.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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