Sawgrass above ground biomass from the Taylor Slough, Everglades National Park (FCE LTER), Florida, USA, August 1999 - ongoing
At a Glance
Authors: Tiffany Troxler, Daniel Childers
Time period: to
Package id: knb-lter-fce.1086.12
Dataset id: LT_PP_Rubio_001
Troxler, T., D. Childers. 2023. Sawgrass above ground biomass from the Taylor Slough, Everglades National Park (FCE LTER), Florida, USA, August 1999 - ongoing. Environmental Data Initiative. https://doi.org/. Dataset accessed 2024-12-04.
Geographic Coverage
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Dataset Creator(s)
- Name: Dr. Tiffany Troxler
- Address: Florida International University
University Park
OE 148
Miami, FL 33199 USA - Phone: 305-348-1453
- Fax: 305-348-4096
- Email: troxlert@fiu.edu
- URL: http://wetland.fiu.edu/
- Name: Dr. Daniel Childers
- Address: Arizona State University
PO Box 875502
Tempe, AZ 85287 USA - Phone: 480-965-2320
- Fax: 480-965-8087
- Email: dan.childers@asu.edu
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Dataset AbstractSawgrass 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.
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Geographic CoverageStudy Extent Description
The Study Extent of this dataset includes the FCE Taylor Slough research sites within Everglades National Park, South Florida
Bounding Coordinates
FCE LTER Site TS/Ph1b
N: 25.439, S: 25.439, E: -80.590, W: -80.590
FCE LTER Site TS/Ph2
N: 25.404, S: 25.404, E: -80.607, W: -80.607
FCE LTER Site TS/Ph3
N: 25.252, S: 25.252, E: -80.663, W: -80.663
FCE LTER Site TS/Ph6b
N: 25.216, S: 25.216, E: -80.651, W: -80.651
FCE LTER Sites
TS/Ph1b,TS/Ph2,TS/Ph3,TS/Ph6b
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Temporal CoverageStart Date: 1999-08-01
End Date: 2023-01-01
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Attributes
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Data Table: Sawgrass above ground biomass from the Taylor Slough, Everglades National Park, South FloridaAttribute Name:SITENAMEAttribute Label:sitenameAttribute Definition:Name of LTER siteStorage Type:textMeasurement Scale:Name of LTER siteMissing Value Code:Attribute Name:DateAttribute Label:dateAttribute Definition:Collection dateStorage Type:datetimeMeasurement Scale:Missing Value Code:Attribute Name:Sawgrass_AG_BiomassAttribute Label:biomassAttribute Definition:Sawgrass above ground biomassStorage Type:dataMeasurement Scale:Units: gramsPerSquareMeterPrecision: 0.0001
Number Type: realMissing Value Code:-9999.0000 (Value will never be recorded )Attribute Name:Sawgrass_AG_Biomass_STDAttribute Label:standard deviationAttribute Definition:sawgrass above ground Biomass standard deviationStorage Type:dataMeasurement Scale:Units: gramsPerSquareMeterPrecision: 0.0001
Number Type: realMissing Value Code:-9999.0000 (Value will never be recorded )Attribute Name:Sawgrass_Culm_DensityAttribute Label:culm densityAttribute Definition:sawgrass culm densityStorage Type:dataMeasurement Scale:Units: numberPerMeterSquaredPrecision: 0.01
Number Type: realMissing Value Code:-9999.00 (Value will never be recorded )Attribute Name:Sawgrass_Culm_Density_STDAttribute Label:standard deviationAttribute Definition:sawgrass culm density standard deviationStorage Type:dataMeasurement Scale:Units: numberPerMeterSquaredPrecision: 0.01
Number Type: realMissing Value Code:-9999.00 (Value will never be recorded )
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Data Table: Sawgrass above ground biomass from the Taylor Slough, Everglades National Park, South Florida
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MethodsSampling 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 sticksPCQuality 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).
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Distribution and Intellectual RightsOnline distribution
https://pasta.lternet.edu/package/data/eml/knb-lter-fce/1086/12/61b091fed113fa32af6259ce68c97166
Data Submission Date: 2023-06-28
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.
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Keywordsaboveground biomass, primary production, primary productivity, FCE, Florida Coastal Everglades LTER, ecological research, long-term monitoring, Everglades National Park, Taylor Slough, plants, biomass, nutrients, productivity, processes, leaves, water, culm density, above ground biomass, Cladium jamaicense, freshwater macrophytes
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Dataset Contact
- Name: Emily Standen
- Position: Technical Staff
- Organization: Southeast Environmental Research Center
- Address: Florida International University
University Park
OE 148
Miami, FL 33199 USA - Phone: 305-348-1576
- Fax: 305-348-4096
- Email: estanden@fiu.edu
- URL: http://www.fiu.edu/~ecosyst/
- Position: Information Manager
- Organization: Florida Coastal Everglades LTER Program
- Address: Florida International University
11200 SW 8th Street
OE 148
Miami, FL 33199 USA - Email: fcelter@fiu.edu
- URL: http://fcelter.fiu.edu
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Data Table and FormatData Table: Sawgrass above ground biomass from the Taylor Slough, Everglades National Park, South FloridaEntity Name:LT_PP_Rubio_001.csvEntity Description:Sawgrass above ground biomass from the Taylor Slough, Everglades National Park, South FloridaObject Name:LT_PP_Rubio_001.csvNumber of Header Lines:1Attribute Orientation:columnField Delimiter:,Number of Records:561
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Metadata Provider
- Organization: Florida Coastal Everglades LTER Program
- Address: Florida International University
11200 SW 8th Street
OE 148
Miami, FL 33199 USA - Phone: 305-348-6054
- Email: fcelter@fiu.edu
- URL: http://fcelter.fiu.edu
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Project permitsEVER-2007-SCI-0065
EVER-2008-SCI-0069
EVER-2009-SCI-0063
EVER-2010-SCI-0078
EVER-2011-SCI-0071
EVER-2013-SCI-0058
EVER-2015-SCI-0062
EVER-2017-SCI-0054
EVER-2019-SCI-0055
EVER-2022-SCI-0029
EVER-2023-SCI-0011