Data Package Metadata   View Summary

Alligator pond food-web sampling in Shark River Slough and Taylor Slough, Everglades National Park, Florida, USA, 2018–2019

General Information
Data Package:
Local Identifier:knb-lter-fce.1255.3
Title:Alligator pond food-web sampling in Shark River Slough and Taylor Slough, Everglades National Park, Florida, USA, 2018–2019
Alternate Identifier:DOI PLACE HOLDER
Abstract:

These datasets were used to investigate if American Alligators engineer differences in nutrient availability and changes to community structure by their creation of “alligator ponds” compared to the surrounding phosphorus (P)-limited oligotrophic marsh in the Everglades. We used a halo sampling design of three distinct habitats extending outward from ten active alligator ponds across a hydrological gradient. We performed nutrient analysis on basal food-web resources and quantitative community analyses, and stoichiometric analyses on plants and animals. These data underly the work in Strickland et al. (2023). An apex predator engineers wetland food-web heterogeneity through nutrient enrichment and habitat modification. Journal of Animal Ecology.

Publication Date:2023-04-24
For more information:
Visit: DOI PLACE HOLDER

Time Period
Begin:
2018
End:
2019

People and Organizations
Contact:Information Manager (Florida Coastal Everglades LTER) [  email ]
Creator:Strickland, Bradley (Florida International University)
Creator:Trexler, Joel (Florida State University)
Creator:Flood, Peter (Florida International University)

Data Entities
Data Table Name:
ConsumerSampling
Description:
CSV contains sampling data from aquatic consumers collected by throw traps, minnow traps, and drift fences
Data Table Name:
Funnel Trap Sampling
Description:
CSV of funnel trap sampling of migrating aquatic benthic micro-invertebrates
Data Table Name:
Aquatic Plant Inventory
Description:
CSV of an inventory of aquatic plants along a habitat transect
Data Table Name:
CNP Stoichiometry Analyses
Description:
CSV containing CNP stoichiometric analyses of consumer tissue and organic material
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-fce/1255/3/7a7501478e9f2a7d972fa14ce39591bc
Name:ConsumerSampling
Description:CSV contains sampling data from aquatic consumers collected by throw traps, minnow traps, and drift fences
Number of Records:5614
Number of Columns:8

Table Structure
Object Name:ConsumerCorrectHabitat.csv
Size:220117 byte
Authentication:1ebbddd7b201f0b1c50a48ae47d722b5 Calculated By MD5
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Quote Character:"

Table Column Descriptions
 IDSeasonSloughSiteMethodCountSpeciesHabitat
Column Name:ID  
Season  
Slough  
Site  
Method  
Count  
Species  
Habitat  
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Storage Type:string  
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Measurement Type:nominalnominalnominalnominalnominalrationominalnominal
Measurement Values Domain:
Definitiontext
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeDRY
DefinitionMarch–April 2019 (low-water period)
Source
Code Definition
CodeWET
DefinitionNovember–December 2018 (high-water period)
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeSRS
DefinitionShark River Slough
Source
Code Definition
CodeTSL
DefinitionTaylor Slough
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeAH11
DefinitionAlligator Hole 11
Source
Code Definition
CodeAH13
DefinitionAlligator Hole 13
Source
Code Definition
CodeAH2
DefinitionAlligator Hole 2
Source
Code Definition
CodeAH3
DefinitionAlligator Hole 3
Source
Code Definition
CodeAH5
DefinitionAlligator Hole 5
Source
Code Definition
CodeAH9
DefinitionAlligator Hole 9
Source
Code Definition
CodeAHMDB
DefinitionAlligator Hole MDB
Source
Code Definition
CodeAHWG16
DefinitionAlligator Hole WG16
Source
Code Definition
CodeCATB
DefinitionAlligator Hole Cat Pond B
Source
Code Definition
CodeLJB
DefinitionAlligator Hole LJB
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeDF
Definitiondrift fence
Source
Code Definition
CodeMT
Definitionminnow trap
Source
Code Definition
CodeTT1
Definitionthrow trap - first pass
Source
Code Definition
CodeTT2
Definitionthrow trap - second pass
Source
Code Definition
CodeTT3
Definitionthrow trap - third pass
Source
Unitnumber
Typeinteger
Definitiontext
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeMARSH
Definitionmarsh
Source
Code Definition
CodeNEAR POND
Definitionnear pond
Source
Code Definition
CodeNPM
Definitionnear pond-marsh transition
Source
Code Definition
CodeNPP
Definitionnear pond - pond transition
Source
Code Definition
CodePOND
Definitionpond
Source
Missing Value Code:
CodeNA
Explsample ID lost
             
Accuracy Report:                
Accuracy Assessment:                
Coverage:                
Methods:                

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-fce/1255/3/45e5b9404f7f7b5cb3439d79d4e2fba3
Name:Funnel Trap Sampling
Description:CSV of funnel trap sampling of migrating aquatic benthic micro-invertebrates
Number of Records:60
Number of Columns:16

Table Structure
Object Name:MicroFinal.csv
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Table Column Descriptions
 SiteSeasonHabitatSloughAMPHIPODCLADOCERACOPEPODDIPTERAEPHEMEHEMITPERAHYDRACHMOLLUSCANEMATODAODONATAOSTRACODPLATYHELMINTHES
Column Name:Site  
Season  
Habitat  
Slough  
AMPHIPOD  
CLADOCERA  
COPEPOD  
DIPTERA  
EPHEME  
HEMITPERA  
HYDRACH  
MOLLUSCA  
NEMATODA  
ODONATA  
OSTRACOD  
PLATYHELMINTHES  
Definition:site codeseason of sample collectionhabitat type of sample collectionslough of sample collectioncount of animals classified as Amphipodacount of animals classified as Cladoceracount of animals classified as Copepodacount of animals classified as Dipteracount of animals classified as Emphemeopteracount of animals classified as Hemipteracount of animals classified as Hydrachnida (water mites)count of animals classified as Molluscacount of animals classified as Nematodacount of animals classified as Odonatacount of animals classified as Ostracodacount of animals classified as Platyhelminthes
Storage Type:string  
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Measurement Type:nominalnominalnominalnominalratioratioratioratioratioratioratioratioratioratioratioratio
Measurement Values Domain:
Definitiontext
Allowed Values and Definitions
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Code Definition
Code2018
DefinitionNovember–December 2018 (high-water period)
Source
Code Definition
Code2019
DefinitionMarch–April 2019 (low-water period)
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeMARSH
Definitionmarsh
Source
Code Definition
CodeNEAR POND
Definitionnear pond
Source
Code Definition
CodePOND
Definitionpond
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeSRS
DefinitionShark River Slough
Source
Code Definition
CodeTSL
DefinitionTaylor Slough
Source
Unitnumber
Typeinteger
Unitnumber
Typeinteger
Unitnumber
Typeinteger
Unitnumber
Typeinteger
Unitnumber
Typeinteger
Unitnumber
Typereal
Unitnumber
Typeinteger
Unitnumber
Typeinteger
Unitnumber
Typeinteger
Unitnumber
Typereal
Unitnumber
Typeinteger
Unitnumber
Typereal
Missing Value Code:                                
Accuracy Report:                                
Accuracy Assessment:                                
Coverage:                                
Methods:                                

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-fce/1255/3/0d18d20b998d59ffd1a9732be6b7998a
Name:Aquatic Plant Inventory
Description:CSV of an inventory of aquatic plants along a habitat transect
Number of Records:60
Number of Columns:25

Table Structure
Object Name:PlantInventoryBothSeasons.csv
Size:3780 byte
Authentication:f993cc7aa3fd2c6c44574dd01ee6eea2 Calculated By MD5
Text Format:
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Table Column Descriptions
 SloughSeasonSiteHabitatCLAJAMELECELELEELOPELVIRUTRPURUTRFOLSAGLANPONCORHYMLATRHYTRAPANHEMBACCARPOTILLLUDREPNYMAQUTYPDOMNYMODONUPADVPASGEMMICSKALEEHEX
Column Name:Slough  
Season  
Site  
Habitat  
CLAJAM  
ELECEL  
ELEELO  
PELVIR  
UTRPUR  
UTRFOL  
SAGLAN  
PONCOR  
HYMLAT  
RHYTRA  
PANHEM  
BACCAR  
POTILL  
LUDREP  
NYMAQU  
TYPDOM  
NYMODO  
NUPADV  
PASGEM  
MICSKA  
LEEHEX  
Definition:slough of sample collectionseason of data collectionsite codehabitat of sample collectionPresence of Cladium jamaicensePresence of Eleocharis cellulosaPresence of Eleocharis elongataPresence of Peltandra virginicaPresence of Utricularia purpureaPresence of Utricularia foliosaPresence of Sagittaria lancifoliaPresence of Pontedaria cordataPresence of Hymenocallis latifoliaPresence of Rhycospora tracyiPresence of Panicum hemitonumPresence of Bacopa caroliniaPresence of Potamogeton illinoensisPresence of Ludwigia repensPresence of Nymphoides aquaticaPresence of Tyhpa domingensisPresence of Nymphea odorataPresence of Nuphar advenaPresence of Paspaladium geminatumPresence of Mikania scandensPresence of Leersia hexandra
Storage Type:string  
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Measurement Type:nominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominalnominal
Measurement Values Domain:
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeSRS
DefinitionShark River Slough
Source
Code Definition
CodeTSL
DefinitionTaylor Slough
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code1
DefinitionNovember–December 2018 (high-water period)
Source
Code Definition
Code2
DefinitionMarch–April 2019 (low-water period)
Source
Definitiontext
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeMARSH
Definitionmarsh
Source
Code Definition
CodeNEARPOND
Definitionnear pond
Source
Code Definition
CodePOND
Definitionpond
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code0
DefinitionAbsent
Source
Code Definition
Code1
Definitionpresent
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code0
Definitionabsent
Source
Code Definition
Code1
Definitionpresent
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code0
Definitionabsent
Source
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Definitionpresent
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Allowed Values and Definitions
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Code Definition
Code0
Definitionabsent
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Definitionpresent
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Allowed Values and Definitions
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Code0
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Allowed Values and Definitions
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Allowed Values and Definitions
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Definitionpresent
Source
Allowed Values and Definitions
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Code0
Definitionabsent
Source
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Code1
Definitionpresent
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code0
Definitionabsent
Source
Code Definition
Code1
Definitionpresent
Source
Missing Value Code:                                                  
Accuracy Report:                                                  
Accuracy Assessment:                                                  
Coverage:                                                  
Methods:                                                  

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-fce/1255/3/8237fb641c94adbc0a0defe45dbfaf9b
Name:CNP Stoichiometry Analyses
Description:CSV containing CNP stoichiometric analyses of consumer tissue and organic material
Number of Records:299
Number of Columns:18

Table Structure
Object Name:dpe_stoich_master091521v2.csv
Size:32014 byte
Authentication:18182a0002af9b76b6b5928a817d21a1 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
 IDPercent_NPercent_CPercent_PCN_RatioCP_RatioNP_RatioSpeciesSample_TypeSeasonSloughSiteHabitatMethodThrowLengthWet_WeightSex
Column Name:ID  
Percent_N  
Percent_C  
Percent_P  
CN_Ratio  
CP_Ratio  
NP_Ratio  
Species  
Sample_Type  
Season  
Slough  
Site  
Habitat  
Method  
Throw  
Length  
Wet_Weight  
Sex  
Definition:unique sample idpercent nitrogenpercent carbonpercent phosphorousratio of carbon to nitrogenratio of carbon to phosphorousratio of nitrogen to phosphorousSpecies code to match long-term datasets by Trexlergeneral sample typeseason of sample collectionslough of data collectionsite codehabitat type of sample collectionSampling methodpass number on throw traptotal lengthfish weight (wet)fish sex
Storage Type:string  
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float  
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Measurement Type:nominalratioratioratioratioratiorationominalnominalnominalnominalnominalnominalnominalnominalratiorationominal
Measurement Values Domain:
Definitiontext
Unitpercent
Typereal
Unitpercent
Typereal
Unitpercent
Typereal
Unitnumber
Typereal
Unitnumber
Typereal
Unitnumber
Typereal
Definitiontext
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codeinvert
Definitioninvertebrate tissue
Source
Code Definition
Codeom
Definitionorganic matter
Source
Code Definition
Codevert
Definitionvertebrate tissue
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeDry
DefinitionMarch–April 2019 (low-water period)
Source
Code Definition
CodeWet
DefinitionNovember–December 2018 (high-water period)
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeSRS
DefinitionShark River Slough
Source
Code Definition
CodeTSL
DefinitionTaylor Slough
Source
Definitiontext
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeMarsh
Definitionmarsh
Source
Code Definition
CodeNP
Definitionnear pond
Source
Code Definition
CodePond
Definitionpond
Source
Code Definition
CodeSawgrass
Definitionsawgrass habitat (technically marsh)
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeDF
Definitiondrift fence
Source
Code Definition
CodeEFISH
Definitionelectrofishing
Source
Code Definition
CodeFR
Definitionfree range (organic matter collection or non quantitative sample)
Source
Code Definition
CodeMT
Definitionminnow trap
Source
Code Definition
CodeTT
Definitionthrow trap
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code2
Definitionpass two
Source
Code Definition
Code3
Definitionpass three
Source
Unitmillimeter
Typereal
Unitgram
Typereal
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code1
Definitionmale
Source
Code Definition
Code2
Definitionfemale
Source
Code Definition
Code3
Definitionimmature
Source
Missing Value Code:  
CodeNA
Explmissing value
CodeNA
Explmissing value
CodeNA
Explmissing value
CodeNA
Explmissing value
CodeNA
Explmissing value
CodeNA
Explmissing value
CodeNA
Explno species determined
CodeNA
Explmissing value
CodeNA
Explno value
CodeNA
Explmissing value
CodeNA
Explmissing site value
CodeNA
Explmissing value, no habitat label
CodeNA
Explmissing value, no habitat label
CodeNA
Explmissing value
CodeNA
Explno measurement
CodeNA
Explno measurement
CodeNA
Explno sex determined
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:
(No thesaurus)FCE LTER, Florida Coastal Everglades LTER, Alligator pond, LTER
LTER Controlled Vocabularyabundance, zooplankton, aquatic invertebrates, community structure, organic matter

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:

We collected water and flocculent detrital matter (“floc”) in three different locations within each habitat and aggregated these into a single sample. Plants were collected by walking a transect across all three habitats and collected as a composite of leaves or stems from multiple individuals. We used several types of sampling to capture the aquatic consumer community: Brakke’s (1976) inverted-funnel traps, 1-m2 throw-traps, 3-mm wire-mesh minnow-traps, and omni-directional drift-fences. Plant composites and animal specimens were analyzed for total N, P, and C using dry-combustion methods and analyzing colorometrically.

References:

Brakke, D. F. (1976). Modification of the Whiteside–Williams Pattern Sampler. Journal of the Fisheries Board of Canada, 33(12), 2861-2863.

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: Bradley Strickland
Organization:Florida International University
Email Address:
bstri007@fiu.edu
Id:https://orcid.org/0000-0001-6443-7672
Individual: Joel Trexler
Organization:Florida State University
Email Address:
jtrexler@fsu.edu
Id:https://orcid.org/0000-0001-8105-4067
Individual: Peter Flood
Organization:Florida International University
Email Address:
pfloo001@fiu.edu
Id:https://orcid.org/0000-0002-0772-4920
Contacts:
Organization:Florida Coastal Everglades LTER
Position:Information Manager
Address:
Florida International University,
11200 SW 8th Street, OE 148,
Miami, FL 33199
Email Address:
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:
2018
End:
2019
Sampling Site: 
Description:AHMDB
Site Coordinates:
Longitude (degree): -80.64061707Latitude (degree): 25.32298757
Sampling Site: 
Description:AH2
Site Coordinates:
Longitude (degree): -80.62850632Latitude (degree): 25.33566355
Sampling Site: 
Description:AH3
Site Coordinates:
Longitude (degree): -80.66084188Latitude (degree): 25.29966428
Sampling Site: 
Description:AH5
Site Coordinates:
Longitude (degree): -80.68250223Latitude (degree): 25.26749111
Sampling Site: 
Description:AH9
Site Coordinates:
Longitude (degree): -80.60116797Latitude (degree): 25.35749112
Sampling Site: 
Description:AH11
Site Coordinates:
Longitude (degree): -80.8000053Latitude (degree): 25.52399379
Sampling Site: 
Description:AH13
Site Coordinates:
Longitude (degree): -80.82633873Latitude (degree): 25.49682767
Sampling Site: 
Description:CPB
Site Coordinates:
Longitude (degree): -80.74400553Latitude (degree): 25.63516028
Sampling Site: 
Description:LJB
Site Coordinates:
Longitude (degree): -80.71900363Latitude (degree): 25.63016576
Sampling Site: 
Description:WG16
Site Coordinates:
Longitude (degree): -80.83650644Latitude (degree): 25.4831582

Project

Parent Project Information:

Title:LTER: Coastal Oligotrophic Ecosystem Research
Personnel:
Individual: John Kominoski
Address:
11200 S.W. 8th Street,
Florida International University,
Miami, FL 33199 US
Email Address:
jkominos@fiu.edu
Id:https://orcid.org/0000-0002-0978-3326
Role:Lead 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: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:Impacts of Recent Fish Invasions on Native Fish Diets in the Shark River Slough: Repetition of Diet Study from 1977 to 1995
Personnel:
Individual: Joel Trexler
Organization:Florida State University
Id:https://orcid.org/0000-0001-8105-4067
Role:Principle Investigator
Additional Award Information:
Funder:National Park Service
Funder ID:https://ror.org/044zqqy65
Number:P18AC01074
Title:Critical Ecosystem Studies Initiative

Maintenance

Maintenance:
Description:

No regular updates anticipated

Frequency:notPlanned
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