Data Package Metadata   View Summary

Leaf litter, soil, and periphyton gene expression along freshwater to marine gradients in Everglades National Park (FCE LTER), Florida, USA, January 2021 and April 2021

General Information
Data Package:
Local Identifier:knb-lter-fce.1270.1
Title:Leaf litter, soil, and periphyton gene expression along freshwater to marine gradients in Everglades National Park (FCE LTER), Florida, USA, January 2021 and April 2021
Alternate Identifier:DOI PLACE HOLDER
Abstract:

We collected leaf litter, periphyton, and soil along freshwater to marine gradients at SRS-2, SRS-4, SRS-6, TS/PH-2, TS/Ph-3, TS/Ph-7a, and TS/Ph-10. Samples were collected in January and April of 2021 to understand how microbial communities respond to and influence the breakdown of organic matter along freshwater to marine transects. Data collection for this project is complete.

For each site and litter pair we collected a subset of 2-3 g wet mass of litter, a grab sample of soil, and a grab sample of periphyton for each site. All subsamples were preserved at -20°C until extraction, which took place up to a year after initial collection. Samples were sent to Novogene (Novogene Co. Ltd., Beijing, China) for the total RNA extraction followed by metatranscriptome sequencing.

We selected n = 12 genes/gene families encoding for focal enzymes to investigate which are important to the breakdown of organic matter: Dioxygenases (associated with aerobic respiration), Sulfatases (associated with the release of sulfates from complex molecules), sulfite reductases (associated with sulfite reduction), methyl coenzyme M reductase and formylmethanofuran (associated with methanogenesis), nitrite reductases (associated with nitrite reduction), cellobiosidase, glucosidase, and xylosidase (associated with cellulose breakdown), phenol oxidase (associated with lignin breakdown), acid phosphatase (associated with phosphate acquisition in acidic environments), and alkaline phosphatase (associated with phosphate acquisition in basic environments). For each gene/family of interest, we searched all annotated transcripts for all entries corresponding to that gene/family and combined all values for a total expression.

We selected n = 6 monophyletic microbial functional groups, representing sulfate reducers, sulfate oxidizers, methane oxidizers, methanogens, nitrite oxidizers, and ammonia oxidizers associated with sulfate and methane cycling. We filtered all annotated transcripts for all species with the following in the name: in the name: ‘desulfo’ for sulfate reducers, ‘sulfito’ for sulfite oxidizers, ‘methylo’ for methyl/methane oxidizers, ‘methano’ for methanogens, ‘nitro’ for nitrite oxidizers, and ‘nitroso’ for aerobic ammonia oxidizers.

Publication Date:2024-07-24
For more information:
Visit: DOI PLACE HOLDER

Time Period
Begin:
2021
End:
2021

People and Organizations
Contact:Information Manager (Florida Coastal Everglades LTER) [  email ]
Contact:Anderson, Kenneth (Kent State University, Post-doctoral Scholar) [  email ]
Creator:Anderson, Kenneth J (Kent State University, Post-doctoral Scholar)
Creator:Kominoski, John S (Florida International University, Associate Professor)
Creator:Choi, Chang Jae (University of Florida, Post-doctoral Scholar)
Creator:Stingl, Ulrich (University of Florida, Assistant Professor)

Data Entities
Data Table Name:
FCE1270_FocalGenedata
Description:
Transcriptomic gene expression from deployed litter samples, soil samples, and periphyton samples.
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-fce/1270/1/1cc3807f30fe631a87fecf117bb49b44
Name:FCE1270_FocalGenedata
Description:Transcriptomic gene expression from deployed litter samples, soil samples, and periphyton samples.
Number of Records:66
Number of Columns:18

Table Structure
Object Name:FCE1270_FocalGenedata.csv
Size:11548 byte
Authentication:37cfcb91a5c13d5aba8bd336b0f381d9 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
 SITENAMESpeciesMonthTypeDioxygenasesSulfatasesSulfite ReductasesFormylmethanofuranNitrite reductasesCellobiosidaseGlucosidaseXylosidasePhenol OxidaseAlkaline phosphataseAcid Phosphatasek.ddSalinityTP
Column Name:SITENAME  
Species  
Month  
Type  
Dioxygenases  
Sulfatases  
Sulfite_Reductases  
Formylmethanofuran  
Nitrite_reductases  
Cellobiosidase  
Glucosidase  
Xylosidase  
Phenol_Oxidase  
Alkaline_phosphatase  
Acid_Phosphatase  
k.dd  
Salinity  
TP  
Definition:Name of LTER siteSpecies of Vegetation microbes were isolated fromMonth during which samples were collectedThis column groups by whether samples are from deployed leaf litter packs, periphyton, or soil.Summed total relative expression of genes associated with dioxygenasesSummed total relative expression of genes associated with sulfatasesSummed total relative expression of genes associated with sulfite reductasesSummed total relative expression of genes associated with formylmethanofuranSummed total relative expression of genes associated with nitrite reductasesSummed total relative expression of genes associated with cellobiosidasesSummed total relative expression of genes associated with glucosidasesSummed total relative expression of genes associated with xylosidasesSummed total relative expression of genes associated with phenol oxidasesSummed total relative expression of genes associated with alkaline phosphatasesSummed total relative expression of genes associated with acid phosphatasesleaf litter breakdown rate per degree daywater salinityTotal phosphorus in the water column
Storage Type:string  
string  
string  
string  
float  
float  
float  
float  
float  
float  
float  
float  
float  
float  
float  
float  
float  
float  
Measurement Type:nominalnominalnominalnominalratioratioratioratioratioratioratioratioratioratioratioratioratioratio
Measurement Values Domain:
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeSRS2
DefinitionSite SRS-2
Source
Code Definition
CodeSRS4
DefinitionSite SRS-4
Source
Code Definition
CodeSRS6
DefinitionSite SRS-6
Source
Code Definition
CodeTS/Ph10
DefinitionSite TS/Ph-10
Source
Code Definition
CodeTS/Ph2
DefinitionSite TS/Ph-2
Source
Code Definition
CodeTS/Ph3
DefinitionSite TS/Ph-3
Source
Code Definition
CodeTS/Ph7a
DefinitionSite TS/Ph-7a
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeEleocharis
DefinitionEleocharis cellulosa
Source
Code Definition
CodeMangrove
DefinitionRhizophora mangle
Source
Code Definition
CodePeriphyton
DefinitionMixed periphyton was collected for these samples.
Source
Code Definition
CodeSawgrass
DefinitionCladium jamaicense
Source
Code Definition
CodeSoil
DefinitionSoil from the top 10cm of the soil was collected for these samples
Source
Code Definition
CodeThalassia
DefinitionThalassia testudinum
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code1
DefinitionJanuary
Source
Code Definition
Code4
DefinitionApril
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeLitter
DefinitionSamples from deployed leaf litter packs
Source
Code Definition
CodePeri
DefinitionSamples where periphyton was collected if present.
Source
Code Definition
CodeSoil
DefinitionSamples where soil was collected from the top 10cm of the soil surface
Source
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitk.dd
Typereal
UnitPSU
Precision0.1
Typereal
UnitmicromolePerLiter
Precision0.01
Typereal
Missing Value Code:                              
CodeNA
ExplSoil and periphyton samples have no breakdown rate as they were environmental samples and not deployed leaf litter.
   
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:
FCE Keyword ListFCE LTER, LTER, Florida Coastal Everglades LTER
LTER Controlled Vocabularymicrobes, decomposition, litter decomposition
LTER Core Research Areasdisturbance

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:

For each site and litter pair we collected a subset of 2-3 g wet mass of litter, a grab sample of soil, and a grab sample of periphyton for each site. All subsamples were preserved at -20°C until extraction, which took place up to a year after initial collection. Samples were sent to Novogene (Novogene Co. Ltd., Beijing, China) for the total RNA extraction followed by metatranscriptome sequencing. Briefly, the total RNA was extracted using TRIzol reagent (Rio et al. 2010) and the quality and quantity of the RNA were assessed using the Agilent 2100 bioanalyzer (Agilent Technologies, Santa Clara, CA, USA) and Nanodrop ND-1000 (ThermoScientific, Waltham, MA, USA), respectively. After the total RNA samples passed the quality check, cDNA libraries were prepared from total RNA using poly(A) enrichment of the mRNA to remove rRNA resulting in the construction of 250-300 bp insert cDNA libraries and sequenced by paired-end (PE) sequencing (PE 2 × 150 bp) using an Illumina NovaSeq 6000 platform (NovaSeq Reagent Kits, Illumina, Inc., San Diego, CA, USA).

Raw reads were processed using the Simple Annotation of Metatranscriptomes by Sequence Analysis 2.0 (SAMSA2) pipeline (Westreich et al. 2018) with slight modification. Briefly, low quality bases were trimmed using Trimmomatic v0.39 (Bolger et al. 2014) and overlapping paired-end reads were merged into single sequences using PEAR v0.9.11 (Zhang et al. 2014). Ribosomal RNA reads were removed with SortMeRNA v2.1 (Kopylova et al. 2012) and the cleaned transcripts were annotated by DIAMOND v0.9.36 (Buchfink et al. 2021) against the National Center for Biotechnology Information (NCBI) Reference Sequence (RefSeq) database (O'leary et al. 2016) for taxonomic and functional characterization. The resulting annotation files were aggregated and merged with custom Python and R scripts included in the SAMSA2 pipeline (Westreich et al. 2018).

We selected n = 12 genes/gene families encoding for focal enzymes to investigate which are important to the breakdown of organic matter: Dioxygenases (associated with aerobic respiration), Sulfatases (associated with the release of sulfates from complex molecules), sulfite reductases (associated with sulfite reduction), methyl coenzyme M reductase and formylmethanofuran (associated with methanogenesis), nitrite reductases (associated with nitrite reduction), cellobiosidase, glucosidase, and xylosidase (associated with cellulose breakdown), phenol oxidase (associated with lignin breakdown), acid phosphatase (associated with phosphate acquisition in acidic environments), and alkaline phosphatase (associated with phosphate acquisition in basic environments; Table 1). For each gene/family of interest, we searched all annotated transcripts for all entries corresponding to that gene/family and combined all values for a total expression.

We selected n = 6 monophyletic microbial functional groups, representing sulfate reducers, sulfate oxidizers, methane oxidizers, methanogens, nitrite oxidizers, and ammonia oxidizers associated with sulfate and methane cycling. We filtered all annotated transcripts for all species with the following in the name: in the name: ‘desulfo’ for sulfate reducers, ‘sulfito’ for sulfite oxidizers, ‘methylo’ for methyl/methane oxidizers, ‘methano’ for methanogens, ‘nitro’ for nitrite oxidizers, and ‘nitroso’ for aerobic ammonia oxidizers.

References:

Bolger, A. M., M. Lohse, and B. Usadel. 2014. Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics 30: 2114-2120.

Buchfink, B., K. Reuter, and H.-G. Drost. 2021. Sensitive protein alignments at tree-of-life scale using DIAMOND. Nature Methods 18: 366-368.

Kopylova, E., L. Noé, and H. Touzet. 2012. SortMeRNA: Fast and accurate filtering of ribosomal RNAs in metatranscriptomic data. Bioinformatics 28: 3211-3217.

O'leary, N. A. and others 2016. Reference sequence (RefSeq) database at NCBI: Current status, taxonomic expansion, and functional annotation. Nucleic Acids Research 44: D733-D745.

Rio, D. C., M. Ares, G. J. Hannon, and T. W. Nilsen. 2010. Purification of RNA using TRIzol (TRI reagent). Cold Spring Harbor Protocols 2010: pdb. prot5439.

Westreich, S. T., M. L. Treiber, D. A. Mills, I. Korf, and D. G. Lemay. 2018. SAMSA2: A standalone metatranscriptome analysis pipeline. BMC bioinformatics 19: 1-11.

Zhang, J., K. Kobert, T. Flouri, and A. Stamatakis. 2014. PEAR: A fast and accurate Illumina Paired-End reAd mergeR. Bioinformatics 30: 614-620.

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: Kenneth J Anderson
Organization:Kent State University
Position:Post-doctoral Scholar
Email Address:
kanderson624@gmail.com
Id:https://orcid.org/0000-0002-1202-1453
Individual: John S Kominoski
Organization:Florida International University
Position:Associate Professor
Email Address:
jkominos@fiu.edu
Id:https://orcid.org/0000-0002-0978-3326
Individual: Chang Jae Choi
Organization:University of Florida
Position:Post-doctoral Scholar
Email Address:
changjae.choi@ufl.edu
Id:https://orcid.org/0000-0002-0831-7470
Individual: Ulrich Stingl
Organization:University of Florida
Position:Assistant Professor
Email Address:
ustingl@ufl.edu
Id:https://orcid.org/0000-0002-0684-2597
Contacts:
Organization:Florida Coastal Everglades LTER
Position:Information Manager
Address:
Florida International University,
11200 SW 8th Street, OE 148,
Miami, FL 33199 USA
Email Address:
fcelter@fiu.edu
Web Address:
https://fcelter.fiu.edu
Individual: Kenneth Anderson
Organization:Kent State University
Position:Post-doctoral Scholar
Email Address:
kanderson624@gmail.com
Id:https://orcid.org/0000-0002-1202-1453
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:
2021
End:
2021
Sampling Site: 
Description:SRS2
Site Coordinates:
Longitude (degree): -80.78520692Latitude (degree): 25.54972811
Sampling Site: 
Description:SRS4
Site Coordinates:
Longitude (degree): -80.96431016Latitude (degree): 25.40976421
Sampling Site: 
Description:SRS6
Site Coordinates:
Longitude (degree): -81.07794623Latitude (degree): 25.36462994
Sampling Site: 
Description:TS/Ph2
Site Coordinates:
Longitude (degree): -80.60690341Latitude (degree): 25.40357188
Sampling Site: 
Description:TS/Ph3
Site Coordinates:
Longitude (degree): -80.66271768Latitude (degree): 25.25240534
Sampling Site: 
Description:TS/Ph7a
Site Coordinates:
Longitude (degree): -80.63910514Latitude (degree): 25.19080491
Sampling Site: 
Description:TS/Ph10
Site Coordinates:
Longitude (degree): -80.68097374Latitude (degree): 25.02476744
Taxonomic Range:
Classification:
Rank Name:Kingdom
Rank Value:Plantae
Common Name:plants
Identifer:https://www.itis.gov
ID: 202422
Classification:
Rank Name:Subkingdom
Rank Value:Viridiplantae
Common Name:green plants
Identifer:https://www.itis.gov
ID: 954898
Classification:
Rank Name:Infrakingdom
Rank Value:Streptophyta
Common Name:land plants
Identifer:https://www.itis.gov
ID: 846494
Classification:
Rank Name:Division
Rank Value:Tracheophyta
Common Name:vascular plants
Identifer:https://www.itis.gov
ID: 846496
Classification:
Rank Name:Subdivision
Rank Value:Spermatophytina
Common Name:spermatophytes
Identifer:https://www.itis.gov
ID: 846504
Classification:
Rank Name:Class
Rank Value:Magnoliopsida
Identifer:https://www.itis.gov
ID: 18063
Classification:
Rank Name:Superorder
Rank Value:Rosanae
Identifer:https://www.itis.gov
ID: 846548
Classification:
Rank Name:Order
Rank Value:Malpighiales
Identifer:https://www.itis.gov
ID: 822428
Classification:
Rank Name:Family
Rank Value:Rhizophoraceae
Common Name:mangroves
Identifer:https://www.itis.gov
ID: 27789
Classification:
Rank Name:Genus
Rank Value:Rhizophora
Common Name:mangrove
Identifer:https://www.itis.gov
ID: 27790
Classification:
Rank Name:Species
Rank Value:Rhizophora mangle
Common Name:American mangrove
Identifer:https://www.itis.gov
ID: 27791
Taxonomic Range:
Classification:
Rank Name:Kingdom
Rank Value:Plantae
Common Name:plants
Identifer:https://www.itis.gov
ID: 202422
Classification:
Rank Name:Subkingdom
Rank Value:Viridiplantae
Common Name:green plants
Identifer:https://www.itis.gov
ID: 954898
Classification:
Rank Name:Infrakingdom
Rank Value:Streptophyta
Common Name:land plants
Identifer:https://www.itis.gov
ID: 846494
Classification:
Rank Name:Division
Rank Value:Tracheophyta
Common Name:vascular plants
Identifer:https://www.itis.gov
ID: 846496
Classification:
Rank Name:Subdivision
Rank Value:Spermatophytina
Common Name:spermatophytes
Identifer:https://www.itis.gov
ID: 846504
Classification:
Rank Name:Class
Rank Value:Magnoliopsida
Identifer:https://www.itis.gov
ID: 18063
Classification:
Rank Name:Superorder
Rank Value:Lilianae
Common Name:monocots
Identifer:https://www.itis.gov
ID: 846542
Classification:
Rank Name:Order
Rank Value:Poales
Identifer:https://www.itis.gov
ID: 846620
Classification:
Rank Name:Family
Rank Value:Cyperaceae
Common Name:sedges
Identifer:https://www.itis.gov
ID: 39357
Classification:
Rank Name:Genus
Rank Value:Cladium
Common Name:sawgrass
Identifer:https://www.itis.gov
ID: 39877
Classification:
Rank Name:Species
Rank Value:Cladium jamaicense
Common Name:Jamaica swamp sawgrass
Identifer:https://www.itis.gov
ID: 39878
Taxonomic Range:
Classification:
Rank Name:Kingdom
Rank Value:Viridiplantae
Common Name:green plants
Identifer:National Center for Biotechnology Information - Taxonomy (NCBI)
Info for ID: 33090 (Viridiplantae)
Classification:
Rank Name:Phylum
Rank Value:Streptophyta
Identifer:National Center for Biotechnology Information - Taxonomy (NCBI)
Info for ID: 35493 (Streptophyta)
Classification:
Rank Name:Subphylum
Rank Value:Streptophytina
Identifer:National Center for Biotechnology Information - Taxonomy (NCBI)
Info for ID: 131221 (Streptophytina)
Classification:
Rank Name:Class
Rank Value:Magnoliopsida
Common Name:flowering plants
Identifer:National Center for Biotechnology Information - Taxonomy (NCBI)
Info for ID: 3398 (Magnoliopsida)
Classification:
Rank Name:Order
Rank Value:Alismatales
Identifer:National Center for Biotechnology Information - Taxonomy (NCBI)
Info for ID: 16360 (Alismatales)
Classification:
Rank Name:Family
Rank Value:Hydrocharitaceae
Common Name:tape-grass family
Identifer:National Center for Biotechnology Information - Taxonomy (NCBI)
Info for ID: 26319 (Hydrocharitaceae)
Classification:
Rank Name:Genus
Rank Value:Thalassia
Identifer:National Center for Biotechnology Information - Taxonomy (NCBI)
Info for ID: 55495 (Thalassia)
Classification:
Rank Name:Species
Rank Value:Thalassia testudinum
Identifer:National Center for Biotechnology Information - Taxonomy (NCBI)
Info for ID: 55497 (Thalassia testudinum)
Taxonomic Range:
Classification:
Rank Name:Kingdom
Rank Value:Viridiplantae
Common Name:green plants
Identifer:National Center for Biotechnology Information - Taxonomy (NCBI)
Info for ID: 33090 (Viridiplantae)
Classification:
Rank Name:Phylum
Rank Value:Streptophyta
Identifer:National Center for Biotechnology Information - Taxonomy (NCBI)
Info for ID: 35493 (Streptophyta)
Classification:
Rank Name:Subphylum
Rank Value:Streptophytina
Identifer:National Center for Biotechnology Information - Taxonomy (NCBI)
Info for ID: 131221 (Streptophytina)
Classification:
Rank Name:Class
Rank Value:Magnoliopsida
Common Name:flowering plants
Identifer:National Center for Biotechnology Information - Taxonomy (NCBI)
Info for ID: 3398 (Magnoliopsida)
Classification:
Rank Name:Subclass
Rank Value:Petrosaviidae
Identifer:National Center for Biotechnology Information - Taxonomy (NCBI)
Info for ID: 1437197 (Petrosaviidae)
Classification:
Rank Name:Order
Rank Value:Poales
Identifer:National Center for Biotechnology Information - Taxonomy (NCBI)
Info for ID: 38820 (Poales)
Classification:
Rank Name:Family
Rank Value:Cyperaceae
Common Name:sedge family
Identifer:National Center for Biotechnology Information - Taxonomy (NCBI)
Info for ID: 4609 (Cyperaceae)
Classification:
Rank Name:Subfamily
Rank Value:Cyperoideae
Identifer:National Center for Biotechnology Information - Taxonomy (NCBI)
Info for ID: 986140 (Cyperoideae)
Classification:
Rank Name:Genus
Rank Value:Eleocharis
Common Name:spikerushes
Identifer:National Center for Biotechnology Information - Taxonomy (NCBI)
Info for ID: 46324 (Eleocharis)
Classification:
Rank Name:Species
Rank Value:Eleocharis cellulosa
Identifer:National Center for Biotechnology Information - Taxonomy (NCBI)
Info for ID: 110283 (Eleocharis cellulosa)

Project

Parent Project Information:

Title:LTER: Coastal Oligotrophic Ecosystem Research
Personnel:
Individual: John Kominoski
Address:
Florida International University,
11200 S.W. 8th Street,
Miami, FL 33199 US
Email Address:
jkominos@fiu.edu
Id:https://orcid.org/0000-0002-0978-3326
Role:Lead Principal Investigator
Individual: James Fourqurean
Id:https://orcid.org/0000-0002-0811-8500
Role:Co-Principal Investigator
Individual: Evelyn Gaiser
Id:https://orcid.org/0000-0003-2065-4821
Role:Co-Principal Investigator
Individual: Jennifer Rehage
Id:https://orcid.org/0000-0003-0009-6906
Role:Co-Principal Investigator
Individual: Kevin Grove
Id:https://orcid.org/0000-0001-9114-5050
Role:Co-Principal Investigator
Abstract:

Coastal ecosystems like the Florida Everglades provide many benefits and services to society including protection from storms, habitat and food for important fisheries, support of tourism and local economies, filtration of fresh water, and burial and storage of carbon that offsets greenhouse gas emissions. The Florida Coastal Everglades Long Term Ecological Research (FCE LTER) program addresses how and why coastal ecosystems and their services are changing. Like many coastal ecosystems, the Florida Everglades has been threatened by diversion of fresh water to support urban and agricultural expansion. At the same time, sea-level rise has caused saltwater intrusion of coastal ecosystems which stresses freshwater species, causes elevation loss, and contaminates municipal water resources. However, restoration of seasonal pulses of fresh water may counteract these threats. Researchers in the FCE LTER are continuing long-term studies and experiments to understand how changes in freshwater supply, sea-level rise, and disturbances like tropical storms interact to influence ecosystems and their services. The science team is guided by a diversity and inclusion plan to attract diverse scientists at all career stages. The team includes resource managers – who use discoveries and knowledge from the FCE LTER to guide effective freshwater restoration – and an active community of academic and agency scientists, teachers and other educators, graduate, undergraduate, and high school students. The project has a robust education and outreach program that engages the research team with the general public to advance science discoveries and protection of coastal ecosystems.

Additional Award Information:
Funder:National Science Foundation
Funder ID:https://ror.org/021nxhr62
Number:2025954
Title:LTER: Coastal Oligotrophic Ecosystem Research
URL:https://www.nsf.gov/awardsearch/showAward?AWD_ID=2025954&HistoricalAwards=false
Related Project:
Title:FCE LTER 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

Maintenance

Maintenance:
Description:

knb-lter-fce.1270.1: Initial publication of dataset. Data collection is complete.

Frequency:
Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'additionalDataset'
        |     |     |___text '\n            '
        |     |     |___element 'projectPermits'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'permit'
        |     |     |     |     |___text 'EVER-2019-SCI-0055'
        |     |     |     |___text '\n            '
        |     |     |___text '\n         '
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'fetchedFromEDI'
        |     |        \___attribute 'dateFetched' = '2022-12-06'
        |     |        \___attribute 'packageID' = 'FCE Template'
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'importedFromXML'
        |     |        \___attribute 'dateImported' = '2022-12-06'
        |     |        \___attribute 'filename' = 'FCE Template.xml'
        |     |        \___attribute 'taxonomicCoverageExempt' = 'True'
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'unitList' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unitList')
        |     |     |___text '\n            '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'k.dd'
        |     |     |     |  \___attribute 'name' = 'k.dd'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.2' ('stmml:description')
        |     |     |     |     |___text 'We calculated the breakdown rate (k) for each sample as: k = ln(AFDMt/AFDM0) / days incubated. We calculated degree-days as: degree-days = summed daily mean water temperature °C / number of days deployed. We then scaled breakdown rate (k) by temperature as: k / degree-day.'
        |     |     |     |___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'
        |     |     |     |___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         '
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'emlEditor'
        |     |        \___attribute 'app' = 'ezEML'
        |     |        \___attribute 'release' = '2024.07.17'
        |     |___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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