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Mangrove Leaf Litter Carbon and Nutrients from the Shark River Slough, Everglades National Park (FCE), South Florida, USA, January 2019 - ongoing


At a Glance


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Authors: Edward Castaneda
Time period: to
Package id: knb-lter-fce.1266.1

How to cite:
Castaneda, E.. 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/. Dataset accessed 2025-01-15.

Geographic Coverage


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Detailed Metadata


  • Dataset Abstract
    Mangrove 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) 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.

    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 Coverage
    Bounding 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

  • Attributes
    • Data Table:   Carbon and nutrient (N and P) content of mangrove leaf litter in Shark River Slough
      Attribute Name:
      SITENAME
      Attribute Label:
      SITENAME
      Attribute Definition:
      Study sites
      Storage Type:
      string
      Measurement 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:
      Year
      Attribute Label:
      Year
      Attribute Definition:
      Year of data collection
      Storage Type:
      dateTime
      Measurement Scale:
      Missing Value Code:
       

      Attribute Name:
      Month
      Attribute Label:
      Month
      Attribute Definition:
      Month of data collection
      Storage Type:
      float
      Measurement Scale:
      Units: number
      Number Type: integer
      Missing Value Code:
       

      Attribute Name:
      Season
      Attribute Label:
      Season
      Attribute Definition:
      Seasonality - Dry and Wet seasons
      Storage Type:
      string
      Measurement Scale:
      Dry= December-May
      Wet= June-November
      Missing Value Code:
       

      Attribute Name:
      Mangrove_species
      Attribute Label:
      Mangrove_species
      Attribute Definition:
      Mangrove species
      Storage Type:
      string
      Measurement 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_litter
      Attribute Label:
      Total_C_leaf_litter
      Attribute Definition:
      Total C content in mangrove leaf litter
      Storage Type:
      float
      Measurement Scale:
      Units: milligramsPerGram
      Precision: .01
      Number Type: real
      Missing Value Code:
      -9999.00 (Value will never be recorded)

      Attribute Name:
      Total_N_leaf_litter
      Attribute Label:
      Total_N_leaf_litter
      Attribute Definition:
      Total N content in mangrove leaf litter
      Storage Type:
      float
      Measurement Scale:
      Units: milligramsPerGram
      Precision: .01
      Number Type: real
      Missing Value Code:
      -9999.00 (Value will never be recorded)

      Attribute Name:
      Total_P_leaf_litter
      Attribute Label:
      Total_P_leaf_litter
      Attribute Definition:
      Total P content in mangrove leaf litter
      Storage Type:
      float
      Measurement Scale:
      Units: milligramsPerGram
      Precision: .001
      Number Type: real
      Missing Value Code:
      -9999.000 (Value will never be recorded)


  • Methods
    Method 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) 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).


  • Distribution and Intellectual Rights
    Online distribution
    https://pasta.lternet.edu/package/data/eml/knb-lter-fce/1266/1/39cd857e9fda03e83d33127629b57f24
    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.

  • Keywords
    FCE 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
  • Data Table and Format
    Data Table:  Carbon and nutrient (N and P) content of mangrove leaf litter in Shark River Slough

    Entity Name:
    SRS_Mangrove_Leaf_Litter_C_Nutrients
    Entity Description:
    Carbon and nutrient (N and P) content of mangrove leaf litter in Shark River Slough
    Object Name:
    SRS_Mangrove_Leaf_Litter_C_Nutrients.csv
    Number of Header Lines:
    1
    Attribute Orientation:
    column
    Field Delimiter:
    ,
    Number of Records:
    324