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Sawgrass above ground biomass from the Shark River Slough, Everglades National Park (FCE), South Florida from November 2000 to Present


At a Glance


Authors: Evelyn Gaiser, Daniel Childers
Time period: 2000-11-01 to 2019-01-01
Package id: knb-lter-fce.1084.5
Dataset id: LT_PP_Grahl_001

How to cite:
Gaiser, E., D. Childers. 2019. Sawgrass above ground biomass from the Shark River Slough, Everglades National Park (FCE), South Florida from November 2000 to Present. Environmental Data Initiative. https://doi.org/10.6073/pasta/2d4ef632fe268a3dda19cbb59214f0f1. Dataset accessed 2020-02-28.

Geographic Coverage


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Detailed Metadata


  • Dataset Creator(s)
    • Name: Dr. Evelyn Gaiser 
    • Position: Primary Investigator
    • Organization: Florida Coastal Everglades LTER Program
    • Address: 11200 S.W. 8th Street
      Miami, Florida 33199 USA
    • Phone: 305-348-6145
    • Fax: 305-348-4096
    • Email: gaisere@fiu.edu
    • URL: http://serc.fiu.edu/periphyton/

    • Name: Dr. Daniel Childers 
    • Position: Associate Director for Research| Professor
    • Organization: Global Institute of Sustainability| School of Sustainability
    • Address: Arizona State University
      PO Box 875402
      Tempe, AZ 85287 USA
    • Phone: 480-965-2320
    • Fax: 480-965-8087
    • Email: dan.childers@asu.edu

  • Dataset Abstract
    Sawgrass biomass is measured for TS/Ph-1, 2, 3, & 6 since 1999; TS/Ph-4 & 5 since 1997 to 2006; SRS-1b, 2, & 3 since 2000; SRS1c for 2005 to 2006, and SRS1d since 2006. Three 1 m2 plots are placed on each site. The sites are measured every two months. The number of sawgrass plants is counted for each 1 m2 plot and one third or a minimum of fifteen plants is measured. For each measured plant, measurements of the total number of live leaves, length of the live leaves, and culm diameter at the base are taken. From these measurements we calculate the average leaf length, and the sum of the length of the leaves. We created a model for biomass using a stepwise regression to see which of the variables measured and calculated are more correlated to explain plant biomass. Obtaining the mean biomass for the plants within the plot and multiplying it by the number of plants counted in the plot calculates biomass for each plot. The total biomass for each plot is summed with the other two plots in the same site, and they are averaged to obtain one biomass number per site. To validate our model, plant clippings are obtained in which four plants are clipped (small, medium, large, inflorescence) from each site. The same measurements are applied to the clipped plants as those applied to the measured plants in the plots. The plant clippings are oven dried at 70 degrees C and weighed.
  • Geographic Coverage
    Study Extent Description
    The Study Extent of this dataset includes the FCE Shark River Slough research sites within Everglades National Park, South Florida

    Bounding Coordinates
    Data were collected in the Shark River Slough, within Everglades National Park, South Florida
    N: 25.758, S: 25.468, E: -80.726, W: -80.853

    Florida Coastal Everglades LTER Study Area: South Florida, Everglades National Park, and Florida Bay
    N: 25.761, S: 24.913, E: -80.490, W: -81.078

    FCE LTER Sites
    SRS1b, SRS1c, SRS1d, SRS2, SRS3

    All Sites
    Geographic Description
    Bounding Coordinates
    FCE LTER Site SRS1b
    N: 25.758, S: 25.758, E: -80.726, W: -80.726
    FCE LTER Site SRS2
    N: 25.550, S: 25.550, E: -80.785, W: -80.785
    FCE LTER Site SRS3
    N: 25.468, S: 25.468, E: -80.853, W: -80.853
    FCE LTER Site SRS1c
    N: 25.755, S: 25.755, E: -80.574, W: -80.574
    FCE LTER Site SRS1d
    N: 25.746, S: 25.746, E: -80.654, W: -80.654
  • Attributes
    • Data Table:   Sawgrass above ground biomass from the Shark River Slough, Everglades National Park, South Florida
      Attribute Name:
      SITENAME
      Attribute Label:
      sitename
      Attribute Definition:
      Name of LTER site
      Storage Type:
      text
      Measurement Scale:
      Name of LTER site
      Missing Value Code:
       

      Attribute Name:
      Date
      Attribute Label:
      date
      Attribute Definition:
      Collection date
      Storage Type:
      datetime
      Measurement Scale:
      Missing Value Code:
       

      Attribute Name:
      Sawgrass_AG_Biomass
      Attribute Label:
      biomass
      Attribute Definition:
      Sawgrass above ground biomass
      Storage Type:
      data
      Measurement Scale:
      Units: gramsPerSquareMeter
      Precision: 0.0001
      Number Type: real
      Missing Value Code:
      -9999.0000 (Value will never be recorded )

      Attribute Name:
      Sawgrass_AG_Biomass_STD
      Attribute Label:
      standard deviation
      Attribute Definition:
      sawgrass above ground Biomass standard deviation
      Storage Type:
      data
      Measurement Scale:
      Units: gramsPerSquareMeter
      Precision: 0.0001
      Number Type: real
      Missing Value Code:
      -9999.0000 (Value will never be recorded )

      Attribute Name:
      Sawgrass_Culm_Density
      Attribute Label:
      culm density
      Attribute Definition:
      sawgrass culm density
      Storage Type:
      data
      Measurement Scale:
      Units: numberPerMeterSquared
      Precision: 0.01
      Number Type: real
      Missing Value Code:
      -9999.00 (Value will never be recorded )

      Attribute Name:
      Sawgrass_Culm_Density_STD
      Attribute Label:
      standard deviation
      Attribute Definition:
      sawgrass culm density standard deviation
      Storage Type:
      data
      Measurement Scale:
      Units: numberPerMeterSquared
      Precision: 0.01
      Number Type: real
      Missing Value Code:
      -9999.00 (Value will never be recorded )


  • Methods
    Sampling Description
    The number of sawgrass plants is counted for each 1 m^2 plot and one third or a minimum of fifteen plants is measured. For each measured plant, measurements of the total number of live leaves, length of the live leaves, and culm diameter of the live leaves at the base are taken. From these measurements we calculate the average leaf length, and the sum of the length of the leaves. We created a model for biomass using a stepwise regression to see which of the variables measured and calculated are more correlated to explain plant biomass. Obtaining the mean biomass for the plants within the plot and multiplying it by the number of plants counted in the plot calculates biomass for each plot. The total biomass for each plot is summed with the other two plots in the same site, and they are averaged to obtain one biomass number per site. To validate our model, plant clippings are obtained in which four plants are clipped (small, medium, large, inflorescence) from each site. The same measurements are applied to the clipped plants as those applied to the measured plants in the plots.

    Method Step

    Description
    The number of sawgrass plants is counted for each 1 m^2 plot and one third or a minimum of fifteen plants is measured. For each measured plant, measurements of the total number of live leaves, length of the live leaves, and culm diameter of the live leaves at the base are taken. From these measurements we calculate the average leaf length, and the sum of the length of the leaves. We created a model for biomass using a stepwise regression to see which of the variables measured and calculated are more correlated to explain plant biomass. Obtaining the mean biomass for the plants within the plot and multiplying it by the number of plants counted in the plot calculates biomass for each plot. The total biomass for each plot is summed with the other two plots in the same site, and they are averaged to obtain one biomass number per site. To validate our model, plant clippings are obtained in which four plants are clipped (small, medium, large, inflorescence) from each site. The same measurements are applied to the clipped plants as those applied to the measured plants in the plots.

    Instrumentation
    calipersmeter sticksPC

    Quality Control
    Data is checked by the following Excel formula for possible data entry mistakes: [=IF(OR({TCH}<30,{CBD}>1.5),"Problem","")]. Once Biomass and Culm densities are calculated the PI and Techinician review the values for possible peaks and valleys (usually those that are greater than 2-3 times the previous and post values for a given site).
  • Distribution and Intellectual Rights
    Online distribution
    http://fcelter.fiu.edu/perl/public_data_download.pl?datasetid=LT_PP_Grahl_001.txt
    Data Submission Date:  2019-05-03

    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
    long term monitoring, aboveground biomass, plant biomass, primary production, biomass, marshes, FCE, Florida Coastal Everglades LTER, ecological research, long-term monitoring, Everglades National Park, Shark River Slough, plants, biomass, nutrients, primary production, productivity, processes, leaves, water, culm density, above ground biomass, Cladium jamaicense, FCE LTER
  • Dataset Contact
    • Name: Rafael Travieso 
    • Position: South Florida Wetland Ecosystems Lab Field Technican
    • Organization: Southeast Environmental Research Center
    • Address: Florida International University
      University Park
      OE 148
      Miami, FL 33199 USA
    • Phone: 305-348-7286
    • Fax: 305-348-4096
    • Email: travieso@fiu.edu
    • URL: http://www.fiu.edu/~ecosyst/

    • Position: Information Manager
    • Organization: Florida Coastal Everglades LTER Program
    • Address: Florida International University
      University Park
      OE 148
      Miami, FL 33199 USA
    • Phone: 305-348-6054
    • Fax: 305-348-4096
    • Email: fcelter@fiu.edu
    • URL: http://fcelter.fiu.edu

  • Data Table and Format
    Data Table:  Sawgrass above ground biomass from the Shark River Slough, Everglades National Park, South Florida

    Entity Name:
    LT_PP_Grahl_001
    Entity Description:
    Sawgrass above ground biomass from the Shark River Slough, Everglades National Park, South Florida
    Object Name:
    LT_PP_Grahl_001
    Number of Header Lines:
    1
    Attribute Orientation:
    column
    Field Delimiter:
    ,
    Number of Records:
    351