Data Package Metadata   View Summary

Macrophyte count data collected from Northeast Shark Slough, Everglades National Park (FCE LTER) from September 2006 to September 2008

General Information
Data Package:
Local Identifier:knb-lter-fce.1108.4
Title:Macrophyte count data collected from Northeast Shark Slough, Everglades National Park (FCE LTER) from September 2006 to September 2008
Alternate Identifier:LT_PP_Gaiser_001
Alternate Identifier:DOI PLACE HOLDER
Abstract:

Three 1m2 throws are made within a few meters of each site center. Within each throw, all emergent macrophytes are counted (live and dead) and recorded. Submerged periphyton-associated aquatic vegetation are identified and recorded as a percentage of the total periphyton component. Macrophyte cover is recorded in percent cover, and average plant height is determined from three representative plants. Water depth is also recorded as an average of three depths.

Publication Date:2010-05-17

Time Period
Begin:
2006-09-11
End:
2008-09-17

People and Organizations
Contact:Gaiser, Evelyn (Southeast Environmental Research Center, Primary Investigator) [  email ]
Contact:Information Manager (Florida Coastal Everglades LTER Program) [  email ]
Creator:Gaiser, Evelyn 
Associate:Gaiser, Evelyn (Southeast Environmental Research Center, Project Collaborator)

Data Entities
Data Table Name:
LT_PP_Gaiser_001.txt
Description:
Macrophyte count data collected from Northeast Shark Slough, Everglades National Park
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-fce/1108/4/59adbda8ee29c84b9bdf06f826532305
Name:LT_PP_Gaiser_001.txt
Description:Macrophyte count data collected from Northeast Shark Slough, Everglades National Park
Number of Records:390
Number of Columns:69

Table Structure
Object Name:LT_PP_Gaiser_001.txt
Size:70 KB
Authentication:9931e7c480ad40aa00f99fe578d53cd7 Calculated By MD5
Character Encoding:ASCII
Text Format:
Number of Header Lines:1
Record Delimiter:\n
Orientation:column
Simple Delimited:
Field Delimiter:,

Table Column Descriptions
 RegionSite_IDSample Collection DatePeriodReplicate Plant CoverPlant HeightWater depthPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityPlant densityNotes
Column Name:Region  
Site_ID  
Date  
Period  
Replicate  
PLT_COV  
PLT_HT  
DEPTH  
AESPRA  
BACMON  
BUCAME  
CENASI  
CLAJAM  
CRIAME  
CYPSPP  
ELESPP  
ELEGEN  
FLALIN  
HYMLAT  
HYMPAL  
IVAMIC  
JUSOVA  
JUSSPP  
LEEHEX  
LEGUMI  
LEPFAS  
LUDCUR  
LUDMIC  
MIKSCA  
MUHFIL  
NOPLAN  
NYMAQU  
NYMODO  
OXYFIL  
PANHEM  
PANRIG  
PANTEN  
PANVIR  
PASGEM  
PELVIR  
PHYNOD  
PLUODO  
PLUROS  
POLHYD  
PONCOR  
POTILL  
PROPAL  
RHYCOR  
RHYDIV  
RHYMIC  
RHYSPP  
SAGSPP  
SALCAR  
SPABAK  
SPETER  
SYMDUM  
SYMSPP  
SYMSUB  
TYPSPP  
UNIPLT  
UNIPLT1  
UNIPLT2  
UNIPLT3  
BACCAR_PCT  
CASFIL_PCT  
CHASPP_PCT  
DICDIC_PCT  
UTRSPP_PCT  
VEG_COMMENT  
Definition:Project DescriptorCollection Site ID NumberDate sample was collectedPeriodReplicate ID Number (3 replicates taken per site)Percent Plant CoverPlant heightWater depthAeschynomene pratensisBacopa monneriBuchnera americanaCentella asiaticaCladium jamaicenseCrinum americanumCyperus spp.Eleocharis spp.Eleocharis geniculatusFlaveria linearisHymenocallis latifoliaHymenocallis palidosusIva microcephalaJusticia ovataJusticia spp.Leersia hexandraLeguminosaeLeptochloa fasciculataLudwigia curtisiiLudwigia microcarpaMikania scandensMuhlenbergia filipesNo plantsNymphoides aquaticaNymphaea odorataOxypolis filiformisPanicum hemitomonPanicum rigidulumPanicum tenerumPanicum virginicumPaspalidium geminatumPeltandra virginicaPhyla nodifloraPluchea odorataPluchea roseaPolygonum hydropiperoidesPontederia cordataPotamogeton illinoensisProserpinaca palustrisRhynchospora corniculataRhynchospora divergensRhynchospora microcephalaRhynchospora spp.Sagittaria spp.Salix carolinianaSpartina bakeriiSpermacoce terminalisSymphyotrichum dumosumSymphyotrichum spp.Symphyotrichum subulatumTypha spp.Unidentified plantUnidentified plant 1Unidentified plant 2Unidentified plant 3Bacopa carolinianaCassytha filiformisChara sp.Dichanthelium dichotomumUtricularia spp.Vegetation comment
Storage Type:text  
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Measurement Type:nominalordinaldateTimeordinalordinalratioordinalordinalratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratiorationominal
Measurement Values Domain:
DefinitionProject Descriptor
DefinitionCollection Site ID Number
FormatYYYY-MM-DD
Precision1
DefinitionPeriod
DefinitionReplicate ID Number (3 replicates taken per site)
Unitpercent
Precision1
Typereal
DefinitionPlant height
DefinitionWater depth
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
UnitnumberPerMeterSquared
Precision1
Typereal
Unitpercent
Precision1
Typereal
Unitpercent
Precision1
Typereal
Unitpercent
Precision1
Typereal
Unitpercent
Precision1
Typereal
Unitpercent
Precision1
Typereal
DefinitionVegetation comment
Missing Value Code:        
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
ExplValue will never be recorded
Code-9999
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 Thesaurusprimary production, periphyton, consumers
LTER Keyword ThesaurusFCE, FCE LTER, Florida Coastal Everglades LTER, ecological research, long-term monitoring, productivity, water, Tamiami Trail, grand experiment, bridge, canal, macrophytes, fish, food web, nutrients, soils, Shark River Slough

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:

Macrophytes were identified within each throw, and density and coverage was recorded. Submerged aquatic vegetation were identified and density recorded as a percentage of the total periphyton component.

Instrument(s):Macrophyte heights were determined using a meter stick
Instrument(s):submerged aquatic vegetation composition in periphyton is determined using a graduated cylinder
Sampling Area and Study Extent
Sampling Description:

Macrophytes were identified within each throw, and density and coverage was recorded. Submerged aquatic vegetation were identified and density recorded as a percentage of the total periphyton component.

Sampling Area And Frequency:

The Study Extent of this dataset includes research sites within Northeast Shark River Slough, Everglades National Park

Sampling Unit Location:
Sampling Site: 
Description:NESS1
Site Coordinates:
Longitude (degree): -80.499Latitude (degree): 25.764
Sampling Unit Location:
Sampling Site: 
Description:NESS2
Site Coordinates:
Longitude (degree): -80.502Latitude (degree): 25.748
Sampling Unit Location:
Sampling Site: 
Description:NESS4
Site Coordinates:
Longitude (degree): -80.517Latitude (degree): 25.755
Sampling Unit Location:
Sampling Site: 
Description:NESS6
Site Coordinates:
Longitude (degree): -80.534Latitude (degree): 25.758
Sampling Unit Location:
Sampling Site: 
Description:NESS7
Site Coordinates:
Longitude (degree): -80.574Latitude (degree): 25.755
Sampling Unit Location:
Sampling Site: 
Description:NESS8
Site Coordinates:
Longitude (degree): -80.591Latitude (degree): 25.752
Sampling Unit Location:
Sampling Site: 
Description:NESS9
Site Coordinates:
Longitude (degree): -80.614Latitude (degree): 25.755
Sampling Unit Location:
Sampling Site: 
Description: NESS10
Site Coordinates:
Longitude (degree): -80.635Latitude (degree): 25.753
Sampling Unit Location:
Sampling Site: 
Description:NESS11
Site Coordinates:
Longitude (degree): -80.635Latitude (degree): 25.692
Sampling Unit Location:
Sampling Site: 
Description:NESS12
Site Coordinates:
Longitude (degree): -80.606Latitude (degree): 25.707
Sampling Unit Location:
Sampling Site: 
Description:NESS13
Site Coordinates:
Longitude (degree): -80.546Latitude (degree): 25.690
Sampling Unit Location:
Sampling Site: 
Description:NESS14
Site Coordinates:
Longitude (degree): -80.513Latitude (degree): 25.703
Sampling Unit Location:
Sampling Site: 
Description:NESS15
Site Coordinates:
Longitude (degree): -80.501Latitude (degree): 25.703
Sampling Unit Location:
Sampling Site: 
Description:NESS16
Site Coordinates:
Longitude (degree): -80.518Latitude (degree): 25.676
Sampling Unit Location:
Sampling Site: 
Description:NESS17
Site Coordinates:
Longitude (degree): -80.499Latitude (degree): 25.732
Sampling Unit Location:
Sampling Site: 
Description:NESS18
Site Coordinates:
Longitude (degree): -80.529Latitude (degree): 25.726
Sampling Unit Location:
Sampling Site: 
Description:NESS19
Site Coordinates:
Longitude (degree): -80.558Latitude (degree): 25.719
Sampling Unit Location:
Sampling Site: 
Description:NESS20
Site Coordinates:
Longitude (degree): -80.618Latitude (degree): 25.669
Sampling Unit Location:
Sampling Site: 
Description:NESS21
Site Coordinates:
Longitude (degree): -80.651Latitude (degree): 25.632
Sampling Unit Location:
Sampling Site: 
Description:NESS26
Site Coordinates:
Longitude (degree): -80.669Latitude (degree): 25.674
Sampling Unit Location:
Sampling Site: 
Description:NESS27
Site Coordinates:
Longitude (degree): -80.672Latitude (degree): 25.735
Sampling Unit Location:
Sampling Site: 
Description:NESS28
Site Coordinates:
Longitude (degree): -80.653Latitude (degree): 25.746
Sampling Unit Location:
Sampling Site: 
Description:NESS29
Site Coordinates:
Longitude (degree): -80.600Latitude (degree): 25.722
Sampling Unit Location:
Sampling Site: 
Description:NESS30
Site Coordinates:
Longitude (degree): -80.540Latitude (degree): 25.664
Sampling Unit Location:
Sampling Site: 
Description:NESS31
Site Coordinates:
Longitude (degree): -80.577Latitude (degree): 25.642
Sampling Unit Location:
Sampling Site: 
Description:NESS32
Site Coordinates:
Longitude (degree): -80.578Latitude (degree): 25.624
Sampling Unit Location:
Sampling Site: 
Description:NESS33
Site Coordinates:
Longitude (degree): -80.550Latitude (degree): 25.609
Sampling Unit Location:
Sampling Site: 
Description:NESS34
Site Coordinates:
Longitude (degree): -80.576Latitude (degree): 25.578
Sampling Unit Location:
Sampling Site: 
Description:NESS35
Site Coordinates:
Longitude (degree): -80.600Latitude (degree): 25.552
Sampling Unit Location:
Sampling Site: 
Description:NESS36
Site Coordinates:
Longitude (degree): -80.662Latitude (degree): 25.577
Quality Control
Quality Control Step 1: 
Description:

Field data are written in pencil on waterproof paper and photocopied upon return to the laboratory. They are then entered into the appropriate digital format. These data are reviewed in hard copy and digital format by the lab manager. Laboratory data are written in pencil on waterproof paper, photocopied prior to computer entry and then entered digitally in duplicate and cross-referenced to hard copy notes. Data outliers, determined by comparison to long-term variance in that parameter, are highlighted in resulting spreadsheets for examination by the principal investigator, who may discard the values.

People and Organizations

Publishers:
Organization:Florida Coastal Everglades LTER Program
Address:
Florida International University,
University Park,
OE 148,
Miami, FL 33199 USA
Phone:
305-348-6054 (voice)
Email Address:
fcelter@fiu.edu
Web Address:
http://fcelter.fiu.edu
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://serc.fiu.edu/periphyton/
Id:http://orchid.org/0000-0003-2065-4821
Contacts:
Individual: Evelyn Gaiser
Organization:Southeast Environmental Research Center
Position:Primary Investigator
Address:
Florida International University,
University Park,
OE 148,
Miami, FL 33199 USA
Phone:
305-348-6145 (voice)
Phone:
305-348-4096 (fax)
Email Address:
gaisere@fiu.edu
Web Address:
http://serc.fiu.edu/periphyton/
Organization:Florida Coastal Everglades LTER Program
Position:Information Manager
Address:
Florida International University,
University Park,
OE 148,
Miami, FL 33199 USA
Phone:
305-348-6054 (voice)
Phone:
305-348-4096 (fax)
Email Address:
fcelter@fiu.edu
Web Address:
http://fcelter.fiu.edu
Associated Parties:
Individual: Evelyn Gaiser
Organization:Southeast Environmental Research Center
Address:
Florida International University,
University Park,
OE 148,
Miami, FL 33199 USA
Phone:
305-348-6145 (voice)
Phone:
305-348-4096 (fax)
Email Address:
gaisere@fiu.edu
Web Address:
http://serc.fiu.edu/periphyton/
Role:Project Collaborator
Metadata Providers:
Organization:Florida Coastal Everglades LTER Program
Address:
Florida International University,
University Park,
OE 148,
Miami, FL 33199 USA
Phone:
305-348-6054 (voice)
Email Address:
fcelter@fiu.edu
Web Address:
http://fcelter.fiu.edu

Temporal, Geographic and Taxonomic Coverage

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

Time Period
Begin:
2006-09-11
End:
2008-09-17
Geographic Region:
Description:Northeast Shark River Slough
Bounding Coordinates:
Northern:  25.761Southern:  25.545
Western:  -80.670Eastern:  -80.500
Taxonomic Range:
Classification:
Rank Name:Species
Rank Value:Aeschynomene pratensis
Classification:
Rank Name:Species
Rank Value:Bacopa monnieri
Classification:
Rank Name:Species
Rank Value:Buchnera americana
Classification:
Rank Name:Species
Rank Value:Centella asiatica
Classification:
Rank Name:Species
Rank Value:Cladium jamaicense
Classification:
Rank Name:Species
Rank Value:Crinum americanum
Classification:
Rank Name:Species
Rank Value:Cyperus spp.
Classification:
Rank Name:Species
Rank Value:Eleocharis spp.
Classification:
Rank Name:Species
Rank Value:Eleocharis geniculatus
Classification:
Rank Name:Species
Rank Value:Flaveria linearis
Classification:
Rank Name:Species
Rank Value:Hymenocallis latifolia
Classification:
Rank Name:Species
Rank Value:Hymenocallis palidosus
Classification:
Rank Name:Species
Rank Value:Iva microcephala
Classification:
Rank Name:Species
Rank Value:Justicia ovata
Classification:
Rank Name:Species
Rank Value:Justicia spp.
Classification:
Rank Name:Species
Rank Value:Leersia hexandra
Classification:
Rank Name:Species
Rank Value:Leguminosae
Classification:
Rank Name:Species
Rank Value:Leptochloa fasciculata
Classification:
Rank Name:Species
Rank Value:Ludwigia curtisii
Classification:
Rank Name:Species
Rank Value:Ludwigia microcarpa
Classification:
Rank Name:Species
Rank Value:Mikania scandens
Classification:
Rank Name:Species
Rank Value:Muhlenbergia filipes
Classification:
Rank Name:Species
Rank Value:Nymphoides aquatica
Classification:
Rank Name:Species
Rank Value:Nymphaea odorata
Classification:
Rank Name:Species
Rank Value:Oxypolis filiformis
Classification:
Rank Name:Species
Rank Value:Panicum hemitomon
Classification:
Rank Name:Species
Rank Value:Panicum rigidulum
Classification:
Rank Name:Species
Rank Value:Panicum tenerum
Classification:
Rank Name:Species
Rank Value:Panicum virginicum
Classification:
Rank Name:Species
Rank Value:Paspalidium geminatum
Classification:
Rank Name:Species
Rank Value:Peltandra virginica
Classification:
Rank Name:Species
Rank Value:Phyla nodiflora
Classification:
Rank Name:Species
Rank Value:Pluchea odorata
Classification:
Rank Name:Species
Rank Value:Pluchea rosea
Classification:
Rank Name:Species
Rank Value:Polygonum hydropiperoides
Classification:
Rank Name:Species
Rank Value:Pontederia cordata
Classification:
Rank Name:Species
Rank Value:Potamogeton illinoensis
Classification:
Rank Name:Species
Rank Value:Proserpinaca palustris
Classification:
Rank Name:Species
Rank Value:Rhynchospora corniculata
Classification:
Rank Name:Species
Rank Value:Rhynchospora divergens
Classification:
Rank Name:Species
Rank Value:Rhynchospora microcephala
Classification:
Rank Name:Species
Rank Value:Rhynchospora spp.
Classification:
Rank Name:Species
Rank Value:Sagittaria spp.
Classification:
Rank Name:Species
Rank Value:Salix caroliniana
Classification:
Rank Name:Species
Rank Value:Spartina bakerii
Classification:
Rank Name:Species
Rank Value:Spermacoce terminalis
Classification:
Rank Name:Species
Rank Value:Symphyotrichum dumosum
Classification:
Rank Name:Species
Rank Value:Symphyotrichum spp.
Classification:
Rank Name:Species
Rank Value:Symphyotrichum subulatum
Classification:
Rank Name:Species
Rank Value:Typha spp.
Classification:
Rank Name:Species
Rank Value:Bacopa caroliniana
Classification:
Rank Name:Species
Rank Value:Cassytha filiformis
Classification:
Rank Name:Species
Rank Value:Chara sp.
Classification:
Rank Name:Species
Rank Value:Dichanthelium dichotomum
Classification:
Rank Name:Species
Rank Value:Utricularia spp.
Classification:
Rank Name:Species
Rank Value:Eleocharis cellulosa
Classification:
Rank Name:Species
Rank Value:Sagittaria lancifolia
Classification:
Rank Name:Species
Rank Value:Rhynchospora tracii

Project

Parent Project Information:

Title:Florida Coastal Everglades LTER: Coastal Oligotrophic Ecosystems Research-the Coastal Everglades
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
Individual: Joseph Boyer
Organization:Florida Coastal Everglades LTER Program
Address:
Southeast Environmental Research Center,
Florida International University,
University Park,
OE 148,
Miami, FL 33199 USA
Phone:
305-348-4076 (voice)
Phone:
305-348-4096 (fax)
Role:Principal Investigator
Individual: James Fourqurean
Organization:Florida Coastal Everglades LTER Program
Address:
Department of Biological Sciences,
Florida International University,
University Park,
OE 167,
Miami, FL 33199 USA
Phone:
305-348-4084 (voice)
Phone:
305-348-4096 (fax)
Role:Principal Investigator
Individual: Rudolf Jaffe
Organization:Florida Coastal Everglades LTER Program
Address:
Department of Chemistry,
Florida International University,
University Park,
CP 304,
Miami, FL 33199 USA
Phone:
305-348-2456 (voice)
Phone:
305-348-4096 (fax)
Role:Principal Investigator
Individual: Joel Trexler
Organization:Florida Coastal Everglades LTER Program
Address:
Department of Biological Sciences,
Florida International University,
University Park,
OE 167,
Miami, FL 33199 USA
Phone:
305-348-1966 (voice)
Phone:
305-348-1986 (fax)
Role: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.

Funding:

National Science Foundation under Grant # 9910514

Study Area:
Study Area Coverage:
Geographic Region:
Description:The FCE LTER Project Study area is located in South Florida, mostly in Everglades National Park. There are a total of 21 sampling sites located in two major regions: 1) Shark River Slough and 2) Taylor Slough/Panhandle.
Bounding Coordinates:
Northern:  25.761Southern:  24.913
Western:  -81.078Eastern:  -80.490

Time Period
Begin:
2000-05-01
End:
2006-04-30
Related Project:
Title:FCE LTER II: Coastal Oligotrophic Ecosystems Research
Personnel:
Individual: Evelyn Gaiser
Organization:Florida Coastal Everglades LTER Program
Address:
Florida International University,
University Park,
OE 148,
Miami, FL 33199 USA
Phone:
305-348-6145 (voice)
Phone:
305-348-4096 (fax)
Email Address:
gaisere@fiu.edu
Role:Lead Principal Investigator
Individual: Mike Heithaus
Organization:Florida Coastal Everglades LTER Program
Address:
Department of Biological Sciences,
Marine Biology Program,
Florida International University,
Biscayne Bay Campus,
Miami, FL 33181 USA
Phone:
(305) 919-5234 (voice)
Phone:
(305) 919-4030 (fax)
Email Address:
heithaus@fiu.edu
Role:Principal Investigator
Individual: Rudolf Jaffe
Organization:Florida Coastal Everglades LTER Program
Address:
Department of Chemistry,
Florida International University,
University Park,
CP 304,
Miami, FL 33199 USA
Phone:
305-348-2456 (voice)
Phone:
305-348-4096 (fax)
Email Address:
jaffer@fiu.edu
Role:Principal Investigator
Individual: Rene Price
Organization:Florida Coastal Everglades LTER Program
Address:
Department of Earth Sciences,
Florida International University,
University Park,
PC 344,
11200 SW 8th Street,
Miami, FL 33199 USA
Phone:
305-348-3119 (voice)
Phone:
305-348-3877 (fax)
Email Address:
pricer@fiu.edu
Role: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.

Funding:

National Science Foundation under Grant # 9910514 and #0620409

Study Area:
Study Area Coverage:
Geographic Region:
Description:The FCE LTER Project Study area is located in South Florida, mostly in Everglades National Park. There are a total of 20 sampling sites located in two major regions: 1) Shark River Slough and 2) Taylor Slough/Panhandle.
Bounding Coordinates:
Northern:  25.761Southern:  24.913
Western:  -81.078Eastern:  -80.490

Time Period
Begin:
2006-12-01
End:
2012-12-01
Related Project:
Title:FCE LTER III: Coastal Oligotrophic Ecosystems Research
Personnel:
Individual: Evelyn Gaiser
Organization:Florida Coastal Everglades LTER Program
Address:
Florida International University,
University Park,
OE 148,
Miami, FL 33199 USA
Phone:
305-348-6145 (voice)
Phone:
305-348-4096 (fax)
Email Address:
gaisere@fiu.edu
Role:Lead Principal Investigator
Individual: Mike Heithaus
Organization:Florida Coastal Everglades LTER Program
Address:
Department of Biological Sciences,
Marine Biology Program,
Florida International University,
Biscayne Bay Campus,
Miami, FL 33181 USA
Phone:
(305) 919-5234 (voice)
Phone:
(305) 919-4030 (fax)
Email Address:
heithaus@fiu.edu
Role:Principal Investigator
Individual: Rudolf Jaffe
Organization:Florida Coastal Everglades LTER Program
Address:
Department of Chemistry,
Florida International University,
University Park,
CP 304,
Miami, FL 33199 USA
Phone:
305-348-2456 (voice)
Phone:
305-348-4096 (fax)
Email Address:
jaffer@fiu.edu
Role:Principal Investigator
Individual: Rene Price
Organization:Florida Coastal Everglades LTER Program
Address:
Department of Earth Sciences,
Florida International University,
University Park,
PC 344,
11200 SW 8th Street,
Miami, FL 33199 USA
Phone:
305-348-3119 (voice)
Phone:
305-348-3877 (fax)
Email Address:
pricer@fiu.edu
Role:Principal Investigator
Individual: Laura Ogden
Organization:Florida Coastal Everglades LTER Program
Address:
Department of Global & Sociocultural Studies,
Florida International University,
University Park,
DM341C,
11200 SW 8th Street,
Miami, FL 33199 USA
Phone:
305-348-6663 (voice)
Phone:
305-348-3605 (fax)
Email Address:
Laura.Ogden@fiu.edu
Role: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.

Funding:

National Science Foundation under Grant # 9910514, #0620409 and DEB-1237517

Study Area:
Study Area Coverage:
Geographic Region:
Description:The FCE LTER Project Study area is located in South Florida, mostly in Everglades National Park. There are a total of 20 sampling sites located in two major regions: 1) Shark River Slough and 2) Taylor Slough/Panhandle.
Bounding Coordinates:
Northern:  25.761Southern:  24.913
Western:  -81.078Eastern:  -80.490

Time Period
Begin:
2012-12-01
End:
2018-12-01
Related Project:
Title:Developing ecosystem response indicators to hydrologic and nutrient modifications in Northeast Shark River Slough, Everglades National Park
Personnel:
Individual: Evelyn Gaiser
Organization:Florida Coastal Everglades LTER Program
Address:
Florida International University,
University Park,
OE 148,
Miami, FL 33199 USA
Phone:
305-348-6145 (voice)
Phone:
305-348-4096 (fax)
Email Address:
gaisere@fiu.edu
Role:Lead Principal Investigator
Individual: Len Scinto
Organization:Florida Coastal Everglades LTER Program
Address:
Florida International University,
University Park,
OE 148,
Miami, FL 33199 USA
Phone:
305-348-1965 (voice)
Phone:
305-348-4096 (fax)
Email Address:
scintol@fiu.edu
Role:Principal Investigator
Individual: Joel Trexler
Organization:Florida Coastal Everglades LTER Program
Address:
Department of Biological Sciences,
Florida International University,
University Park,
OE 167,
Miami, FL 33199 USA
Phone:
305-348-1966 (voice)
Phone:
305-348-1986 (fax)
Email Address:
trexlerj@fiu.edu
Role:Principal Investigator
Individual: Daniel Childers
Organization:Global Institute of Sustainability| School of Sustainability
Position:Associate Director for Research| Professor
Address:
Arizona State University,
PO Box 875402,
Tempe, AZ 85287 USA
Phone:
480-965-2320 (voice)
Phone:
480-965-8087 (fax)
Email Address:
dan.childers@asu.edu
Role:Principal Investigator
Abstract:

The goal of this project is to determine current ecological and biogeochemical characteristics of Northeast Shark River Slough (NESS) including water and soil quality, and community characteristics of flora and fauna in order to (1) relate the distribution of biota relative to existing variation in water quality, hydroperiod and water depth and (2) select biotic indicators for continued monitoring that will allow detection of ecosystem change on appropriate temporal and spatial scales as the Tamiami Trail boundary is modified to allow more water into NESS.

Funding:
Study Area:
Study Area Coverage:
Geographic Region:
Description:Shark River Slough, Everglades National Park, South Florida
Bounding Coordinates:
Northern:  25.761Southern:  25.545
Western:  -80.670Eastern:  -80.500

Time Period
Begin:
2006-01-01
End:
2008-12-01
Related Project:
Title:Effects of Tamiami Trail swale creation on ecosystem structure and nutrient delivery to Everglades National Park
Personnel:
Individual: Evelyn Gaiser
Organization:Florida Coastal Everglades LTER Program
Address:
Florida International University,
University Park,
OE 148,
Miami, FL 33199 USA
Phone:
305-348-6145 (voice)
Phone:
305-348-4096 (fax)
Email Address:
gaisere@fiu.edu
Role:Lead Principal Investigator
Individual: Len Scinto
Organization:Florida Coastal Everglades LTER Program
Address:
Florida International University,
University Park,
OE 148,
Miami, FL 33199 USA
Phone:
305-348-1965 (voice)
Phone:
305-348-4096 (fax)
Email Address:
scintol@fiu.edu
Role:Principal Investigator
Individual: Joel Trexler
Organization:Florida Coastal Everglades LTER Program
Address:
Department of Biological Sciences,
Florida International University,
University Park,
OE 167,
Miami, FL 33199 USA
Phone:
305-348-1966 (voice)
Phone:
305-348-1986 (fax)
Email Address:
trexlerj@fiu.edu
Role:Principal Investigator
Individual: Daniel Childers
Organization:Global Institute of Sustainability| School of Sustainability
Position:Associate Director for Research| Professor
Address:
Arizona State University,
PO Box 875402,
Tempe, AZ 85287 USA
Phone:
480-965-2320 (voice)
Phone:
480-965-8087 (fax)
Email Address:
dan.childers@asu.edu
Role:Principal Investigator
Abstract:

The USACE proposes to construct pilot spreader swales south of two culverts along the Tamiami Trail to determine if spreader swales increase hydrologic conveyance into Everglades National Park (ENP). The information gleaned from the pilot spreader swale construction will then be utilized to determine if constructing more spreader swales along the Tamiami Trail will be a cost beneficial option to increase flow along the Tamiami Trail. Part of the pilot spreader swale project will be to assess potential water quality and ecological effects associated with the construction and the implementation of the pilot spreader swales if they are constructed. This will be achieved through the water quality, fish/invertebrate, and vegetation/periphyton monitoring programs. The monitoring conducted prior and during pilot spreader swales will provide critical information that will help understand the level of impacts associated with the construction and implementation of the pilot spreader swales if they are constructed. If the pilot spreader swales do prove effective at improving hydrologic conveyance, it will also provide information as to whether the benefit of the pilot spreader swales provide is worth the environmental impacts caused by the construction and implementation of the pilot spreader swales.

Funding:
Study Area:
Study Area Coverage:
Geographic Region:
Description:Shark River Slough, Everglades National Park, South Florida
Bounding Coordinates:
Northern:  25.761Southern:  25.545
Western:  -80.670Eastern:  -80.500

Time Period
Begin:
2009-06-01
End:
2011-06-01

Maintenance

Maintenance:
Description:

This is a short-term primary production dataset. This dataset replaces all previous versions of LT_PP_Gaiser_001 original. The FCE program is discontinuing its practice of versioning data as of March 2013.

Frequency:
History:
scope:Made note that this data set has been downgraded to 'Short-term' as opposed to 'Long-term' as per Evelyn Gaiser
old value:Changed long-term to short-term in the maintenance description and elsewhere
change date:2014-05-07
Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n    '
        |___element 'metadata'
        |     |___text '\n      '
        |     |___element 'unitList' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('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        '
        |     |     |___comment 'note that the unitTypes here are taken from the eml-unitDictionary.xml'
        |     |     |___text '\n        '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('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-1.1' ('stmml:description')
        |     |     |     |     |___text 'ratio of two quantities as percent composition (1:100)'
        |     |     |     |___text '\n        '
        |     |     |___text '\n      '
        |     |___text '\n    '
        |___text '\n  '

Additional Metadata

additionalMetadata
        |___text '\n    '
        |___element 'metadata'
        |     |___text '\n      '
        |     |___element 'additionalDataset'
        |     |     |___text '\n        '
        |     |     |___element 'researchType'
        |     |     |     |___text 'Short-term'
        |     |     |___text '\n        '
        |     |     |___element 'DatasetDistributionTypeandRestrictions'
        |     |     |     |___text 'Type II- Not funded entirely by the NSF LTER Program'
        |     |     |___text '\n        '
        |     |     |___element 'addDistribution'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'submissionDate'
        |     |     |     |     |___text '2009-09-21'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'LTERsites'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'sitename'
        |     |     |     |     |___text 'NESS1, NESS2, NESS4, NESS6, NESS7, NESS8, NESS9, NESS10, NESS11, NESS12, NESS13, NESS14, NESS15, NESS16, NESS17, NESS18, NESS19, NESS20, NESS21, NESS26, NESS27, NESS28, NESS29, NESS30, NESS31, NESS32, NESS33, NESS34, NESS35, NESS36'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'projectHypotheses'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'para'
        |     |     |     |     |___text 'Our long-term research program focuses on the following directives: relating the distribution of biota relative to existing variationin water quality, hydroperiod and water depth, and selecting biotic indicators for continued monitoring that will allow detection of ecosystem change on appropriate temporal and spatial scales as the Tamiami Trail boundary is modified to allow more water into Northeast Shark Slough'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'projectPermits'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'permit'
        |     |     |     |     |___text 'EVER-2006-SCI-0048'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'datasetAnomolies'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'anomolies'
        |     |     |     |     |___text 'No macrophyte data taken on the following dates and sites: April 2007 (all other sites were not sampled this season); July 2007 (all other sites were not sampled this season); January 2008 (all other sites were not sampled this year); April 2008 (all other sites were not sampled this season); July 2008 (all other sites were not sampled this season)'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'datasetInfoManagementNotes'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'notes'
        |     |     |     |     |___text 'Information Manager (May 20, 2010) 1) Combined Year, Month and Day into a single Date and 2) Added -9999 to blank cells where data was not collected. This is a long-term primary production dataset and subsequent data wil be appended. This dataset replaces all previous versions of LT_PP_Gaiser_001 original. The FCE program is discontinuing its practice of versioning data as of March 2013.'
        |     |     |     |___text '\n        '
        |     |     |___text '\n      '
        |     |___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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