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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title: 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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abstract: 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.
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.
credit: Related Funding Agency: Texas General Land Office
credit: Related Funding Agency: Coastal Bend Bays & Estuaries Program
credit: Related Funding Agency: US DOI; National Park Service (National Park Servce - NPS)
credit: Related Funding Agency: Mission-Aransas National Estuarine Research Reserve
credit: Related Funding Agency: National Science Foundation
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beginPosition: 2011-08-17
endPosition: 2017-11-30
supplementalInformation: 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
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distributionInfo: (MD_Distribution)
distributor: (MD_Distributor)
distributorContact: (CI_ResponsibleParty)
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Anchor: https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1730 NOAA National Centers for Environmental Information
contactInfo: (CI_Contact)
phone: (CI_Telephone)
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electronicMailAddress: NCEI.Info@noaa.gov
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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.
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Real: 6.448
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linkage: https://doi.org/10.25921/9qkw-3w27
protocol: HTTPS
applicationProfile: Web browser
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function: (CI_OnLineFunctionCode) information
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linkage: https://www.ncei.noaa.gov/archive/accession/oas/187104
protocol: HTTPS
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linkage: https://www.ncei.noaa.gov/archive/accession/download/187104
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linkage: ftp://ftp-oceans.ncei.noaa.gov/nodc/archive/arc0135/0187104/
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dataQualityInfo: (DQ_DataQuality)
scope: (DQ_Scope)
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lineage: (LI_Lineage)
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description: NCEI Accession 0187104 v1.1 was published.
dateTime:
DateTime: 2019-04-15T17:55:19Z
output: (LE_Source)
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title: NCEI Accession 0187104 v1.1
date: (CI_Date)
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linkage: https://www.ncei.noaa.gov/archive/accession/0187104/1.1
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name: NCEI Accession 0187104 v1.1
description: published 2019-04-15T17:55:19Z
function: (CI_OnLineFunctionCode) download
role: (inapplicable)
processStep: (LE_ProcessStep)
description: NCEI Accession 0187104 was revised and v2.2 was published.
rationale: Updates were received for this dataset. 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.
dateTime:
DateTime: 2019-05-09T18:59:22Z
output: (LE_Source)
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title: NCEI Accession 0187104 v2.2
date: (CI_Date)
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linkage: https://www.ncei.noaa.gov/archive/accession/0187104/2.2
protocol: HTTPS
name: NCEI Accession 0187104 v2.2
description: published 2019-05-09T18:59:22Z
function: (CI_OnLineFunctionCode) download
role: (inapplicable)
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dataQualityInfo: (DQ_DataQuality)
scope: (DQ_Scope)
level: (MD_ScopeCode) dataset
lineage: (LI_Lineage)
processStep: (LE_ProcessStep)
description: 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 and using a meter stick. 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..
processStep: (LE_ProcessStep)
description: 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..
processStep: (LE_ProcessStep)
description: 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..
processStep: (LE_ProcessStep)
description: 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..
processStep: (LE_ProcessStep)
description: 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..
processStep: (LE_ProcessStep)
description: 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..
processStep: (LE_ProcessStep)
description: 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..
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metadataMaintenance: (MD_MaintenanceInformation)
maintenanceAndUpdateFrequency: (MD_MaintenanceFrequencyCode) asNeeded
maintenanceNote: Metadata are developed, maintained and distributed by NCEI. Updates are performed as needed to maintain currentness.
maintenanceNote: NCEI Accession 0187104 was revised and a new version of the archival package was published. Updates to existing archival packages may provide additional files or replace obsolete files. The latest 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. Please see journal.txt in the /about directory for additional details on changes made.
contact: (CI_ResponsibleParty)
organisationName: NOAA National Centers for Environmental Information
role: (CI_RoleCode) custodian
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acquisitionInformation: (MI_AcquisitionInformation)
instrument: (MI_Instrument)
identifier: (MD_Identifier)
code: scale
type: scale
description: An instrument for measuring mass or weight.
instrument: (MI_Instrument)
identifier: (MD_Identifier)
code: sediment sieve
type: sediment sieve
description: USA standard testing sieve (A.S.T.M.E.)
instrument: (MI_Instrument)
identifier: (MD_Identifier)
code: visual observation
type: visual observation
description: not an instrument - maybe an observation type