Mangrove Leaf Litter Carbon and Nutrients from the Shark River Slough, Everglades National Park (FCE), South Florida, USA, January 2019 - ongoing
At a Glance
Authors: John Kominoski, Edward Castañeda-Moya, Caitlin Reisa
Time period: 2019-01-01 to 2023-12-31
Package id: knb-lter-fce.1266.2
Kominoski, J., E. Castañeda-Moya, C. Reisa. 2024. Mangrove Leaf Litter Carbon and Nutrients from the Shark River Slough, Everglades National Park (FCE), South Florida, USA, January 2019 - ongoing. Environmental Data Initiative. https://doi.org/10.6073/pasta/6218d6f516e1c865984ebd485eb31b69. Dataset accessed 2024-11-21.
Geographic Coverage
-
Dataset Creator(s)
- Name: Dr. John Kominoski
- Organization: Florida Coastal Everglades LTER
- Address: Florida International University
11200 SW 8th Street, OE 148
Miami, FL 33199 - Email: jkominos@fiu.edu
- Name: Dr. Edward Castañeda-Moya
- Organization: Florida Coastal Everglades LTER
- Address: Florida International University
11200 SW 8th Street, OE 148
Miami, FL 33199 - Email: edwardcm@gmail.com
- Name: Caitlin Reisa
- Organization: Florida Coastal Everglades LTER
- Address: Florida International University
11200 SW 8th Street, OE 148
Miami, FL 33199 - Email: creisa@fiu.edu
-
Dataset AbstractMangrove litterfall dynamics have been monitored in all Shark River sites (SRS-4, SRS-5, SRS-6) since January 2001 using the same collection method stated in Castañeda-Moya et al. 2013 (metadata: knb-lter-fce.1195) and Danielson et al. 2017. Briefly, litterfall was collected monthly at all sites (10 baskets per site) using permanent 0.25 m2 wooden baskets supported approximately 1.3 m above the soil surface and lined with 1 mm mesh screening. Litterfall from each basket was sorted, dried, and weighed by leaf species, reproductive parts by species, and woody material. Leaf litter data from different years (2019, 2020, 2021, 2023) were selected for each site to identify species-specific foliar carbon and nutrient (N and P) content. Monthly leaf litter samples were analyzed separately by species for all years after grinding with a Wiley Mill to pass through a 40-µm mesh screen. Total leaf litter C and N contents were determined with a Carlo-Erba NA-1500 elemental analyzer (Fisons Instruments Inc., Danvers, MA, USA). Total leaf litter P was extracted using an acid-digest (HCl) extraction, and concentrations of SRP were determined by spectrophotometric analysis (Methods 365.4 and 365.2, USA EPA 1983). Litterfall data collection is ongoing every year since 2001, while C and nutrients analyses are performed every other year after 2021. See also Shark River mangrove litterfall data (knb-lter-fce.1195) on the FCE LTER website's data catalog or in the EDI repository (https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-fce&identifier=1195).
References:
Castañeda-Moya, E., Twilley, R. R., & Rivera-Monroy, V. H. (2013). Allocation of biomass and net primary productivity of mangrove forests along environmental gradients in the Florida Coastal Everglades, USA. Forest Ecology and Management, 307, 226-241.
Danielson, T.M., V.H. Rivera-Monroy, E. Castaneda-Moya, H. Briceno, R. Travieso, B.D. Marx, E. Gaiser, and L.M. Farfan. 2017. Assessment of Everglades mangrove forest resilience: Implications for above-ground net primary productivity and carbon dynamics. Forest Ecology and Management 404: 115-125.
EPA. 1983. Methods for chemical analysis of water and wastes. Methods 365.4 and 365.2, USA EPA 1983. Office of Research and Development, Washington, DC 20460.
-
Geographic CoverageBounding Coordinates
SRS4
N: 25.40976421, S: 25.40976421, E: -80.96431016, W: -80.96431016
SRS5
N: 25.37702258, S: 25.37702258, E: -81.03234716, W: -81.03234716
SRS6
N: 25.36462994, S: 25.36462994, E: -81.07794623, W: -81.07794623
-
Temporal CoverageStart Date: 2019
End Date: 2023
-
Attributes
-
Data Table: Carbon and nutrient (N and P) content of mangrove leaf litter in Shark River SloughAttribute Name:SITENAMEAttribute Label:SITENAMEAttribute Definition:Study sitesStorage Type:stringMeasurement Scale:SRS4= FCE LTER Shark River Slough site 4
SRS5= FCE LTER Shark River Slough site 5
SRS6= FCE LTER Shark River Slough site 6
Missing Value Code:Attribute Name:YearAttribute Label:YearAttribute Definition:Year of data collectionStorage Type:dateTimeMeasurement Scale:Missing Value Code:Attribute Name:MonthAttribute Label:MonthAttribute Definition:Month of data collectionStorage Type:floatMeasurement Scale:Units: dimensionlessNumber Type: integerMissing Value Code:Attribute Name:SeasonAttribute Label:SeasonAttribute Definition:Seasonality - Dry and Wet seasonsStorage Type:stringMeasurement Scale:Dry= December-May
Wet= June-November
Missing Value Code:Attribute Name:Mangrove_speciesAttribute Label:Mangrove_speciesAttribute Definition:Mangrove speciesStorage Type:stringMeasurement Scale:A. germinans= Avicennia germinans
C. erectus= Conocarpus erectus
L. racemosa= Laguncularia racemosa
R. mangle= Rhizophora mangle
Missing Value Code:Attribute Name:Total_C_leaf_litterAttribute Label:Total_C_leaf_litterAttribute Definition:Total C content in mangrove leaf litterStorage Type:floatMeasurement Scale:Units: milligramPerGramPrecision: .01
Number Type: realMissing Value Code:-9999.00 (Value will never be recorded)Attribute Name:Total_N_leaf_litterAttribute Label:Total_N_leaf_litterAttribute Definition:Total N content in mangrove leaf litterStorage Type:floatMeasurement Scale:Units: milligramPerGramPrecision: .01
Number Type: realMissing Value Code:-9999.00 (Value will never be recorded)Attribute Name:Total_P_leaf_litterAttribute Label:Total_P_leaf_litterAttribute Definition:Total P content in mangrove leaf litterStorage Type:floatMeasurement Scale:Units: milligramPerGramPrecision: .001
Number Type: realMissing Value Code:-9999.000 (Value will never be recorded)
-
Data Table: Carbon and nutrient (N and P) content of mangrove leaf litter in Shark River Slough
-
MethodsMethod Step
Description
Litterfall samples were collected monthly at all sites (10 baskets per site) using permanent 0.25 m2 wooden baskets supported approximately 1.3 m above the soil surface and lined with 1 mm mesh screening. Litterfall from each basket was sorted, dried, and weighed by leaf species, reproductive parts by species, and woody material. Leaf litter data from different years (2019, 2020, 2021, 2023) were selected for each site to identify species-specific foliar carbon and nutrient (N and P) content. Monthly leaf litter samples were analyzed separately by species for all years after grinding with a Wiley Mill to pass through a 40-µm mesh screen. Total leaf litter C and N contents were determined with a Carlo-Erba NA-1500 elemental analyzer (Fisons Instruments Inc., Danvers, MA, USA). Total leaf litter P was extracted using an acid-digest (HCl) extraction, and concentrations of SRP were determined by spectrophotometric analysis (Methods 365.4 and 365.2, USA EPA 1983).
References:
EPA. 1983. Methods for chemical analysis of water and wastes. Methods 365.4 and 365.2, USA EPA 1983. Office of Research and Development, Washington, DC 20460.
Method Step
Description
Quality Control:
Dataset QA/QC performed during analysis of samples; SRP concentrations with 5% between lab replicates were redone; data is graphed to check for outliers.
-
Distribution and Intellectual RightsOnline distribution
https://pasta.lternet.edu/package/data/eml/knb-lter-fce/1266/2/6e1766151ba84a2f73261e98d5a40842
Intellectual 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.
-
KeywordsFCE LTER, LTER, Florida Coastal Everglades LTER, Shark River Slough, ecological research, foliar carbon, foliar nutrients, mangrove Leaf Litter, litterfall, mangroves, long term monitoring, plant growth, wetlands, primary production, primary production
-
Dataset Contact
- Name: Dr. John Kominoski
- Organization: Florida Coastal Everglades LTER
- Address: Florida International University
11200 SW 8th Street, OE 148
Miami, FL 33199 - Email: jkominos@fiu.edu
- Name: Dr. Edward Castañeda-Moya
- Organization: Florida Coastal Everglades LTER
- Address: Florida International University
11200 SW 8th Street, OE 148
Miami, FL 33199 - Email: Edward.Castaneda@miamidade.gov
- Position: Information Manager
- Organization: Florida Coastal Everglades LTER
- Address: Florida International University,
11200 SW 8th Street, OE 148
Miami, FL 33199 USA - Email: fcelter@fiu.edu
- URL: https://fcelter.fiu.edu
-
Data Table and FormatData Table: Carbon and nutrient (N and P) content of mangrove leaf litter in Shark River SloughEntity Name:FCE1266_SRS_Mangrove_Leaf_Litter_C_NutrientsEntity Description:Carbon and nutrient (N and P) content of mangrove leaf litter in Shark River SloughObject Name:FCE1266_SRS_Mangrove_Leaf_Litter_C_Nutrients.csvNumber of Header Lines:1Attribute Orientation:columnField Delimiter:,Number of Records:432
-
Metadata Provider
- Organization: Florida Coastal Everglades LTER
- Address: Florida International University
11200 SW 8th Street, OE 148
, - Email: fcelter@fiu.edu
- URL: https://fcelter.fiu.edu
-
Project permitsEVER-2017-SCI-0054
EVER-2019-SCI-0055
EVER-2022-SCI-0029
EVER-2023-SCI-0011