Sea grass canopy height, wind gust, and others in Coastal Waters of Texas from 2011-08-17 to 2017-11-30 (NCEI Accession 0187104)

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This dataset contains raw TIER 2 sampling data from 2015 and 2017 for Texas coastal waters related to seagrasses. Seagrass parameters measured include canopy height and percent cover. Seagrass species represented within the data include Halodule wrightii and Thalassia testudinum. Sampling takes place at 525 permanent stations in Aransas and Redfish Bays, Corpus Christi Bay, and the Upper and Lower Laguna Madre. Latitudes and longitudes for station locations are based on the NAD83 datum. There was no sampling in 2016. Additionally, this dataset also contains sediment data collected in Redfish Bay in 2011/2012 and 2017. Sediment parameters measured include total organic carbon, ammonium concentrations, and grain size. This dataset also includes interpolated wind speed data values using the recorded maximum sustained gusts of Hurricane Harvey. All data are provided in CSV format.
  • Cite as: Congdon, Victoria; Dunton, Ken; Whiteaker, Tim; The University of Texas at Austin (2019). Sea grass canopy height, wind gust, and others in Coastal Waters of Texas from 2011-08-17 to 2017-11-30 (NCEI Accession 0187104). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/9qkw-3w27. Accessed [date].
gov.noaa.nodc:0187104
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  • .csv .pdf
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Distributor DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
301-713-3277
NCEI.Info@noaa.gov
Dataset Point of Contact Information Services
DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
301-713-3277
NCEI.Info@noaa.gov
Time Period 2011-08-17 to 2017-11-30
Spatial Bounding Box Coordinates
N: 28.117
S: 26
E: -96.845
W: -97.5
Spatial Coverage Map
General Documentation
Associated Resources
  • Texas Statewide Seagrass Monitoring Program
  • Seagrass canopy height, water depth, chlorophyll-a concentration and other plant and water quality indicators in Coastal Waters of Texas (NCEI Accession 0181898)
Publication Dates
  • publication: 2019-04-15
  • revision: 2019-05-09
Data Presentation Form Digital table - digital representation of facts or figures systematically displayed, especially in columns
Dataset Progress Status Complete - production of the data has been completed
Historical archive - data has been stored in an offline storage facility
Data Update Frequency As needed
Supplemental Information
In this accession, NCEI has archived multiple versions of these data. The latest (and best) version of these data has the largest version number.

Submission Package ID: HGD7R1
Purpose These data were collected to support the study of a Texas Seagrass Monitoring Plan implemented using Tier 2 protocols, which are intended to provide rapid assessments of hydrography, seagrass areal coverage, species distributions and plant physiological conditions.
Use Limitations
  • accessLevel: Public
  • Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
Dataset Citation
  • Cite as: Congdon, Victoria; Dunton, Ken; Whiteaker, Tim; The University of Texas at Austin (2019). Sea grass canopy height, wind gust, and others in Coastal Waters of Texas from 2011-08-17 to 2017-11-30 (NCEI Accession 0187104). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/9qkw-3w27. Accessed [date].
Cited Authors
  • Congdon, Victoria
  • Dunton, Ken
  • Whiteaker, Tim
  • The University of Texas at Austin
Collaborators
  • Victoria Congdon
    University of Texas; University of Texas - Austin; Marine Science Institute (UT - Austin Marine Science Institute)
  • Tim Whiteaker
    University of Texas; University of Texas - Austin
Contributors
Resource Providers
Points of Contact
  • Ken Dunton
    University of Texas; University of Texas - Austin; Marine Science Institute (UT - Austin Marine Science Institute)
Publishers
Acknowledgments
  • Related Funding Agency: Texas General Land Office
  • Related Funding Agency: Coastal Bend Bays & Estuaries Program
  • Related Funding Agency: US DOI; National Park Service (National Park Servce - NPS)
  • Related Funding Agency: Mission-Aransas National Estuarine Research Reserve
  • Related Funding Agency: National Science Foundation
Theme keywords NODC DATA TYPES THESAURUS NODC OBSERVATION TYPES THESAURUS WMO_CategoryCode
  • oceanography
Global Change Master Directory (GCMD) Science Keywords
  • EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS
  • EARTH SCIENCE > OCEANS > MARINE SEDIMENTS
  • EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > AMMONIA
Provider Keywords
  • Halodule wrightii
  • Sea Grasses- Canopy Height
  • Sea Grasses- Percent Cover
  • Sediment- Ammonium Concentrations
  • Thalassia testudinum
Data Center keywords Global Change Master Directory (GCMD) Data Center Keywords
  • DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce
  • DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
NODC COLLECTING INSTITUTION NAMES THESAURUS NODC SUBMITTING INSTITUTION NAMES THESAURUS
Instrument keywords NODC INSTRUMENT TYPES THESAURUS Global Change Master Directory (GCMD) Instrument Keywords
  • VISUAL OBSERVATIONS
Provider Instruments
  • Meterstick
Place keywords NODC SEA AREA NAMES THESAURUS Global Change Master Directory (GCMD) Location Keywords
  • OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN
  • OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > GULF OF MEXICO
Provider Place Names
  • Aransas Bay
  • Corpus Christi Bay
  • Redfish Bay
  • Upper and Lower Laguna Madre
Keywords NCEI ACCESSION NUMBER
Use Constraints
  • Cite as: Congdon, Victoria; Dunton, Ken; Whiteaker, Tim; The University of Texas at Austin (2019). Sea grass canopy height, wind gust, and others in Coastal Waters of Texas from 2011-08-17 to 2017-11-30 (NCEI Accession 0187104). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/9qkw-3w27. Accessed [date].
Access Constraints
  • Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
Fees
  • In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media.
Lineage information for: dataset
Processing Steps
  • 2019-04-15T17:55:20Z - NCEI Accession 0187104 v1.1 was published.
  • 2019-05-09T18:59:23Z - NCEI Accession 0187104 was revised and v2.2 was published.
    Rationale: Updates were received for this data set. These updates were copied into the data/0-data/ directory of this accession. These updates may provide additional files or replace obsolete files. This version contains the most complete and up-to-date representation of this archival information package. All of the files received prior to this update are available in the preceding version of this accession.
Output Datasets
Lineage information for: dataset
Processing Steps
  • Parameter or Variable: SEA GRASSES - CANOPY HEIGHT (measured); Units: centimeter; Observation Category: in situ; Sampling Instrument: meterstick; Sampling and Analyzing Method: The four corners of the boat (port-stern, port-bow, starboard-bow, and starboard-stern) were used as seagrass sample locations. Measurements were taken approximately 2-4 meters from the boat by tossing a 0.25 m2 quadrat into the water. Within each quadrat, five random shoots were extracted for canopy height measurements for each seagrass species present. Blade lengths were determined as the photosynthetic portion of the longest blade from each shoot.; Data Quality Method: The data were carefully reviewed by all authors..
  • Parameter or Variable: WIND GUST (calculated); Units: kilometers per hour; Observation Category: model output; Sampling Instrument: ArcGIS for Desktop; Sampling and Analyzing Method: We used 10-m maximum sustained wind gusts obtained from 70 weather locations reported by the National Weather Service (NWS; M. Buchanan) in the NOAA National Hurricane Center Hurricane Harvey tropical cyclone report (Blake and Zelinsky 2018). In ArcMap 10.3 (Environmental Systems Research Institute), we imported these wind data and used Inverse-Distance Weighting (IDW) interpolation to assign values to areas between sampling points, weighted by distance. We used 12 sampling stations identified from a variable search radius (100 m2) to generate a predicted value for each unknown point. We then used the tool ‘Extract Values to Points’ to extract cell values of the interpolated wind raster for each of the 525 seagrass sampling stations.; Data Quality Method: The data were carefully reviewed by all authors..
  • Parameter or Variable: SEDIMENTS - DRY WEIGHT (measured); Units: gram; Observation Category: laboratory analysis; Sampling Instrument: sediment sieve; Sampling and Analyzing Method: To determine sediment grain size, sand/silt/clay ratios were determined following the methods of Folk (1964). Percent contribution by weight was measured for four components: rubble (shell), sand, silt, and clay. A 20-ml sediment sample was mixed with 100 ml of 3% hydrogen peroxide and 75 ml of de-ionized water to digest organic material in the sample. The sample was then wet sieved through a 63μm mesh stainless steel screen using a vacuum pump and a Millipore Hydrosol SST filter holder to separate rubble and sand from silt and clay. After drying, the rubble (shell) and sand was separated on a 250μm screen. The silt and clay fractions were measured using pipette analysis. Briefly, the settling velocity was used to classify the particles and to determine the percent composition of each fraction, based on weight.; Data Quality Method: The data were carefully reviewed by all authors..
  • Parameter or Variable: SEDIMENTS - PARTICLE SIZE FRACTIONS (measured); Units: percent; Observation Category: laboratory analysis; Sampling Instrument: sediment sieve; Sampling and Analyzing Method: To determine sediment grain size, sand/silt/clay ratios were determined following the methods of Folk (1964). Percent contribution by weight was measured for four components: rubble (shell), sand, silt, and clay. A 20-ml sediment sample was mixed with 100 ml of 3% hydrogen peroxide and 75 ml of de-ionized water to digest organic material in the sample. The sample was then wet sieved through a 63μm mesh stainless steel screen using a vacuum pump and a Millipore Hydrosol SST filter holder to separate rubble and sand from silt and clay. After drying, the rubble (shell) and sand was separated on a 250μm screen. The silt and clay fractions were measured using pipette analysis. Briefly, the settling velocity was used to classify the particles and to determine the percent composition of each fraction, based on weight.; Data Quality Method: The data were carefully reviewed by all authors..
  • Parameter or Variable: SEA GRASSES - PERCENT COVER (measured); Units: percent; Observation Category: in situ; Sampling Instrument: visual observation; Sampling and Analyzing Method: Species composition and areal coverage were obtained from four replicate quadrat samples per station at each of the four cardinal locations from the vessel boat (port-stern, port-bow, starboard-bow, and starboard-stern). Percent cover of areal biomass was estimated by direct observation, looking down at the seagrass canopy through the water using a 0.25 m2 quadrat framer subdivided into 100 cells.; Data Quality Method: The data were carefully reviewed by all authors..
  • Parameter or Variable: AMMONIUM (NH4) (measured); Units: micromole; Observation Category: laboratory analysis; Sampling Instrument: spectrophotometer; Sampling and Analyzing Method: To determine sediment porewater ammonium, thawed then centrifuged the sediment core and processed the supernatant using the colorimetric techniques in Parsons et al. (1984). Once sediment samples were thawed, samples were homogenized by stirring with glass rod or squeezing the bag several times. We weighed each sample + centrifuge tube to the nearest 0.1 g and capped each centrifuge tube immediately after weighing to prevent evaporation from the sediment sample. To obtain the sediment porewater, we set the centrifuge to run for 10-20 min (depending on soil moisture) at 10,000 rpm. We used the following reagents: Ultra pure water; Phenol alcohol: dissolved 5 g reagent-grade phenol in 50 ml 95% ethanol; Sodium nitroprusside solution: dissolved 0.5 g sodium nitroprusside in 100 ml ultra pure water; Alkaline solution: dissolved 80 g sodium citrate and 4.0 g NaOH in 400 ml ultra pure water; Sodium hypochlorite: used commercially available hypochlorite (e.g. Ultra Clorox); Oxidizing solution: mixed 5 ml alkaline solution with 1.25 ml of sodium hypochlorite. For the Standard Curve, we added 133.7 mg NH4Cl (FW = 53.49 g mole-1) to a volumetric flask and bring to 500 ml with ultra pure water (= 5 mM). We then added 1 ml of this solution to a volumetric flask and brought to 100 ml with ultra pure water (= 50 μM). Standard curve and reagents were calculated for 2.5 ml samples. We ran at least three replicates (n = 3) for each concentration. μM concentrations were calculated from μg NH4 +/2.5 ml by multiplying by 22.2 (i.e., (1 μg NH4 +/2.5 ml) x (1000 ml/L) x (1 μmole NH4 +/18 μg NH4 +) = 22.2 μmole/L). To process the samples, we added 2.5 mL of water sample or standard to corresponding test tube. We diluted as necessary with low-ammonia seawater (i.e., “blue water”). For example, for sediments, we diluted 0.5 ml sample with 2.0 ml “blue water”. We added 0.1 ml phenol alcohol to the samples, vortexed, and waited one minute. We then added 0.1 ml sodium nitroprusside solution, vortexed, and waited one minute. Next, we added 0.25 ml oxidizing solution, vortexed, and waited one minute. We mixed samples thoroughly, capped or covered the tube with parafilm and allowed the sample to develop for 1 hr in the dark and at room temperature. On the spectrophotometer, we recorded absorbance at 640 nm and ensured to auto zero the spectrophotometer to blue water blanks that had chemicals added to them. We read standards first and again every 10 samples to ensure spectrophotometer was running properly. We regressed samples absorbance to standard curve considering the dilution factor.; Data Quality Method: The data were carefully reviewed by all authors..
  • Parameter or Variable: SEDIMENTS - ORGANIC CARBON (measured); Units: percent; Observation Category: laboratory analysis; Sampling Instrument: scale; Sampling and Analyzing Method: To determine sediment total organic carbon, samples were homogenized, placed in aluminum weighing tins and dried in a 60 ºC oven (to remove water) for 12-24 hr. Samples were then removed from the oven and placed in a desiccator (to prevent moisture from the air changing the sample weight) to cool to room temperature. Once cooled, samples were weighed to the nearest 0.1 g, and placed in a muffle furnace to combust organic material, at 550 ºC for 4 hr. After cooling samples to room temperature in a desiccator, the samples were reweighed and Loss on Ignition (LOI) was calculated using the following formula, where DW is sample dry weight (in grams): LOI550 (as a percentage) = ((DW60 - DW550) / DW60) x 100. The weight loss is proportional to the amount of organic carbon contained in the sample.; Data Quality Method: The data were carefully reviewed by all authors..
Acquisition Information (collection)
Instrument
  • scale
  • sediment sieve
  • visual observation
Last Modified: 2019-10-17T21:24:48Z
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