http://lod.bco-dmo.org/id/dataset/822076
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2020-08-26
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Nutrient content and stable isotope ratios from seagrasses in Texas over one year following Hurricane Harvey
2020-08-26
publication
2020-08-26
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2020-09-21
publication
https://doi.org/10.26008/1912/bco-dmo.822076.1
Lauren Yeager
University of Texas - Marine Science Institute
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Yeager, L. (2020) Nutrient content and stable isotope ratios from seagrasses in Texas over one year following Hurricane Harvey. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-08-26 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.822076.1 [access date]
Nutrient content and stable isotope ratios from seagrasses in Texas over one year following Hurricane Harvey Dataset Description: <p>Nutrient content and stable isotope ratios from seagrasses in Texas over one year following Hurricane Harvey.</p> Methods and Sampling: <p><strong>Sampling sites</strong><br />
Sites were selected to correspond to long-term monitoring sites from the statewide Texas Seagrass monitoring data set (see Congdon et al. 2019 for a more detailed description of pre and post Hurricane sampling sites). We focused on 20 of the long-term sampling sites that varied in magnitude and type of impact from Hurricane Harvey. Eight of the sites were located in southern Aransas Bay (Redfish Bay area) experienced high freshwater runoff and longer retention time of freshwater (&gt; 2 months). These sites included 4 that experienced high degrees of physical seagrass damage (&gt;50 seagrass cover loss) and those with minimal seagrass loss (&lt; 20% change in percent cover). Eight of the sites were located in northern Corpus Christi Bay (Redfish Bay area) and experienced freshwater runoff with shorter retention time (&lt; 6 weeks). These sites included 4 that experienced high degrees of physical seagrass damage (&gt;50 seagrass cover loss) and those with minimal seagrass loss (&lt; 20% change in percent cover). Finally, 4 sites were located in the East Flat region of Corpus Christi bay which was further outside of the major impact zone and experienced lower degrees of seagrass loss and freshwater runoff. The 16 Redfish Bay area sites were sampled in November 2017, March 2018, July 2018, and November 2018. The East flats sites were sampled during July and November 2018.</p>
<p><strong>Field Procedures</strong><br />
At each station, two replicate cores were taken. A 15 cm inner diameter (ID) core was used to sample the seagrass species present within each quadrat. A PVC (polyvinyl chloride) core was used for the collection of below-ground and above-ground material. Care was taken to keep only the shoots that reside within the diameter of the core. Following placement of the 15 cm core on the seabed, the rubber stopper was removed from the top of the core. Before pressing the core into the sediment, the diver ran their fingers carefully around the bottom of the core. If grass was pulled under the core, it is removed. The diver pressed and twisted the core down into the sediment (10-15 cm depth). The stopper was re-installed in the 15 cm core, and the core was rocked back and forth. The diver worked their hand under the core and removed it from the grass bed, making sure to keep their hand under the bottom of the core in order to prevent loss of sample. Samples were then placed in pre-labeled Ziploc bags and immediately placed on ice.</p>
<p><strong>Laboratory Procedures</strong><br />
Cores samples were kept in a refrigerator (4°C) until processing within one week of collection. Cores samples were sieved with filtered seawater through a 500 µm sieve to remove excess sediment. As <em>Thalassia testudinum</em> was the dominant species across sites, we focused our tissue analysis on this species. Seagrass tissue was carefully separated from infauna and shell harsh before further processing. From each core sample, six seagrass shoots were selected at haphazardly. Newly formed leaves (the youngest leaf in a shoot bundle) were gently scraped and rinsed in Milli-Q water to remove algal and faunal epiphytes. The rinsed tissue samples were then dried to a constant weight at 60°C and homogenized by grinding to a fine powder using a mortar and pestle. Tissue samples were re-dried in an oven overnight at 60ºC. Once dry, the samples were manually homogenized with a mortar and pestle and/or a Wig-L-Bug device. Approximately 1 mg of sample was weighed into tin capsules at the University of Texas at Austin – Marine Science Institute, Core Isotope Facility in Port Aransas, Texas. Samples were analyzed using an automated system for coupled nitrogen- and carbon-isotope measurements using a Thermo Fisher Scientific Flash EA-Isolink CNSOH elemental analyzer connected to a Thermo Fisher Scientific Delta V Plus isotope-ratio-mass-spectrometer. The isotope results are presented using the conventional δ-notation:</p>
<p>δ 13C (or δ 15N) = [(R sample /R standard) - 1] (in ‰)</p>
<p>where R sample and R standard = 13C/ 12C (or 15N/ 14N). All δ-values are reported relative to VPDB for carbon and AIR for nitrogen, unless otherwise stated (Coplen 1996). A two-point calibration of δ 13 C to VPDB and to δ 15 N to AIR is achieved using USGS-40 (−26.39‰,−4.52‰) and USGS-41a (+36.55‰, +47.55‰), respectively. Internal laboratory standards Peach Leaf and Casein were used to evaluate the accuracy and precision of the carbon and nitrogen isotope results, which should have a standard deviation of less than 0.2‰.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1906622 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1906622
completed
Lauren Yeager
University of Texas - Marine Science Institute
750 Channel View Dr
Port Aransas
TX
78373
US
laurenayeager@gmail.com
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Sample_Period
Site_ID
Species
Latitude
Longitude
Date
Depth_cm
Replicate_ID
Tray_num
Well_num
num_in_seqence
Foil_contents_weight
d15N_AIR
umoles_N
pcnt_N
d13C_VPDB
umoles_C
pcnt_C
Notes
Thermo Fisher Scientific Flash EA-Isolink CNSOH elemental analyzer
mortar and pestle and/or a Wig-L-Bug device
Thermo Fisher Scientific Delta V Plus isotope-ratio-mass-spectrometer
Diver
PVC core
theme
None, User defined
month of year
site
species scientific name (binomial)
latitude
longitude
date
depth
replicate
sample identification
weight
d15N
Nitrogen
d13C
Elemental carbon (C)
comments
featureType
BCO-DMO Standard Parameters
Drying Oven
Elemental Analyzer
Homogenizer
Isotope-ratio Mass Spectrometer
Manual Biota Sampler
Push Corer
instrument
BCO-DMO Standard Instruments
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
RAPID: COLLABORATIVE RESEARCH: Mechanisms of seagrass community injury and resilience post Hurricane Florence: implications for increasingly stormy coasts
https://osprey.bco-dmo.org/project/811735
RAPID: COLLABORATIVE RESEARCH: Mechanisms of seagrass community injury and resilience post Hurricane Florence: implications for increasingly stormy coasts
<p><em>NSF Award Abstract:</em><br />
Seagrass meadows are conspicuous features of many estuarine and nearshore environments. By some estimates, these meadows contribute an average of $20,000 per hectare per year in goods and services. These include nutrient cycling, sediment stabilization, carbon burial, and provision of nursery habitat for juvenile fishes, crabs, and shrimps. Alarmingly, seagrasses are threatened by several environmental and human-driven stressors, and loss of seagrass habitat remains a key concern for conservation and sustainable development programs. Anticipated increases in storminess (frequency and intensity) and rainfall under many climate change modeling scenarios make understanding hurricane impacts on valuable coastal habitats such as seagrass meadows important on local, national, and global scales. Indeed, seagrass meadows potentially serve as a 'canary in the coal mine' regarding the effects of increased hurricane activity as they are found at shallow depths and are affected by turbidity and salinity; seagrasses are also vulnerable to burial or erosion due to large storms. Seagrasses (1) include a suite of species with distinct growth and reproductive strategies; (2) live in a range of meadow sizes and degrees of 'patchiness;' and (3) present divergent seasonal cycles. This represents a tremendous opportunity to explore the conditions and attributes that result in seagrass resilience or vulnerability to hurricanes as a model for coastal ecosystem responses more broadly.</p>
<p>Hurricane Florence made landfall along the NC coast on September 14, 2018. Florence stalled approaching shore, and storm-related winds/rains persisted for >4 days (13th-16th) in southeastern NC. Subsequently, record high sea-level stands (surge + tide) were observed across the NC coastline. Furthermore, Florence became the second wettest US storm, behind only Harvey in 2017, dumping 65 trillion L of rain over land that depressed estuarine salinities for over a month. NC seagrasses are dominated by three species: eelgrass, shoalgrass, and widgeon grass. Meadows exist as polycultures or monocultures, and exhibit a diverse range of spatial configurations. Meadows are also defined by strong seasonality: eelgrass shoots senesce in summer due to heat stress, with sites transformed either into shoalgrass-dominated meadows or mudflats. Subsequent to dieback, eelgrass depends upon a combination of seedbank and surviving apical meristems for regeneration each winter. Using key seagrass datasets collected by the research team dating back decades across ~40 Florence-impacted meadows, several fundamental ecological questions are being addressed: (1) how sexual (eelgrass: seedbank) v. asexual (shoalgrass: vegetative growth and fragment colonization) life histories promote susceptibility or resilience of seagrass to disturbance; (2) how meadow landscape configuration and plant diversity modulate the effect of storms on seedbank retention; (3) how meadow disturbance (intense physical v. more chronic physiochemical drivers) affected community dynamics, with special focus on plant productivity and the critical 'nursery role' of seagrass habitat; and (4) how seasonality and species traits amplify or attenuate the effects of intense disturbance on seagrasses. This research expands upon previous post-hurricane studies by considering the interactive effects of hurricanes, landscape configuration, and biodiversity on ecosystem responses. It also leverages ongoing, NSF-supported work along the TX coast to compare-and-contrast the responses of different seagrass phenology/growth strategies to storm disturbance (e.g., turtlegrass in TX is a "leaf-on" species throughout the year while eelgrass and shoalgrass in NC both exhibit strong seasonality in biomass). Collectively, this work will result in more generalizable models of coastal ecological resilience to storminess.</p>
<p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p>
Hurricane impacts on seagrasses
largerWorkCitation
project
eng; USA
oceans
-97.15306
-97.08199
27.75471
27.99366
2017-11-03
2018-12-01
Coastal North Carolina and Texas, USA
0
BCO-DMO catalogue of parameters from Nutrient content and stable isotope ratios from seagrasses in Texas over one year following Hurricane Harvey
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/822120.rdf
Name: Sample_Period
Units: unitless
Description: <p>Month and year of sampling</p>
http://lod.bco-dmo.org/id/dataset-parameter/822121.rdf
Name: Site_ID
Units: unitless
Description: <p>Site name</p>
http://lod.bco-dmo.org/id/dataset-parameter/822122.rdf
Name: Species
Units: unitless
Description: <p>Name of species from which tissue was processed</p>
http://lod.bco-dmo.org/id/dataset-parameter/822123.rdf
Name: Latitude
Units: decimal degrees North
Description: <p>Latitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/822124.rdf
Name: Longitude
Units: decimal degrees East
Description: <p>Longitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/822125.rdf
Name: Date
Units: unitless
Description: <p>Date; format: YYYY-MM-DD</p>
http://lod.bco-dmo.org/id/dataset-parameter/822126.rdf
Name: Depth_cm
Units: centimeters (cm)
Description: <p>Depth at sampling site in cm</p>
http://lod.bco-dmo.org/id/dataset-parameter/822127.rdf
Name: Replicate_ID
Units: unitless
Description: <p>Replicate core from site</p>
http://lod.bco-dmo.org/id/dataset-parameter/822128.rdf
Name: Tray_num
Units: unitless
Description: <p>Tray number for sample run</p>
http://lod.bco-dmo.org/id/dataset-parameter/822129.rdf
Name: Well_num
Units: unitless
Description: <p>Well number of sample within tray</p>
http://lod.bco-dmo.org/id/dataset-parameter/822130.rdf
Name: num_in_seqence
Units: unitless
Description: <p>Number of position within run sequence</p>
http://lod.bco-dmo.org/id/dataset-parameter/822131.rdf
Name: Foil_contents_weight
Units: milligrams (mg)
Description: <p>Sample weight of dry seagrass tissue in mg</p>
http://lod.bco-dmo.org/id/dataset-parameter/822132.rdf
Name: d15N_AIR
Units: per mil (‰)
Description: <p>d15N relative to atmospheric N2 standard</p>
http://lod.bco-dmo.org/id/dataset-parameter/822133.rdf
Name: umoles_N
Units: micromoles (umoles)
Description: <p>umoles of nitrogen in sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/822134.rdf
Name: pcnt_N
Units: unitless (percent)
Description: <p>Percent of seagrass tissue which is nitrogen by dry weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/822135.rdf
Name: d13C_VPDB
Units: per mil (‰)
Description: <p>d13C relative to VPDB standard</p>
http://lod.bco-dmo.org/id/dataset-parameter/822136.rdf
Name: umoles_C
Units: micromoles (umoles)
Description: <p>umoles of carbon in sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/822137.rdf
Name: pcnt_C
Units: unitless (percent)
Description: <p>Percent of seagrass tissue which is carbon by dry weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/822138.rdf
Name: Notes
Units: unitless
Description: <p>Notes</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
17616
https://darchive.mblwhoilibrary.org/bitstream/1912/26189/1/dataset-822076_seagrass-nutrients-post-hurricane__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.822076.1
download
onLine
dataset
<p><strong>Sampling sites</strong><br />
Sites were selected to correspond to long-term monitoring sites from the statewide Texas Seagrass monitoring data set (see Congdon et al. 2019 for a more detailed description of pre and post Hurricane sampling sites). We focused on 20 of the long-term sampling sites that varied in magnitude and type of impact from Hurricane Harvey. Eight of the sites were located in southern Aransas Bay (Redfish Bay area) experienced high freshwater runoff and longer retention time of freshwater (&gt; 2 months). These sites included 4 that experienced high degrees of physical seagrass damage (&gt;50 seagrass cover loss) and those with minimal seagrass loss (&lt; 20% change in percent cover). Eight of the sites were located in northern Corpus Christi Bay (Redfish Bay area) and experienced freshwater runoff with shorter retention time (&lt; 6 weeks). These sites included 4 that experienced high degrees of physical seagrass damage (&gt;50 seagrass cover loss) and those with minimal seagrass loss (&lt; 20% change in percent cover). Finally, 4 sites were located in the East Flat region of Corpus Christi bay which was further outside of the major impact zone and experienced lower degrees of seagrass loss and freshwater runoff. The 16 Redfish Bay area sites were sampled in November 2017, March 2018, July 2018, and November 2018. The East flats sites were sampled during July and November 2018.</p>
<p><strong>Field Procedures</strong><br />
At each station, two replicate cores were taken. A 15 cm inner diameter (ID) core was used to sample the seagrass species present within each quadrat. A PVC (polyvinyl chloride) core was used for the collection of below-ground and above-ground material. Care was taken to keep only the shoots that reside within the diameter of the core. Following placement of the 15 cm core on the seabed, the rubber stopper was removed from the top of the core. Before pressing the core into the sediment, the diver ran their fingers carefully around the bottom of the core. If grass was pulled under the core, it is removed. The diver pressed and twisted the core down into the sediment (10-15 cm depth). The stopper was re-installed in the 15 cm core, and the core was rocked back and forth. The diver worked their hand under the core and removed it from the grass bed, making sure to keep their hand under the bottom of the core in order to prevent loss of sample. Samples were then placed in pre-labeled Ziploc bags and immediately placed on ice.</p>
<p><strong>Laboratory Procedures</strong><br />
Cores samples were kept in a refrigerator (4°C) until processing within one week of collection. Cores samples were sieved with filtered seawater through a 500 µm sieve to remove excess sediment. As <em>Thalassia testudinum</em> was the dominant species across sites, we focused our tissue analysis on this species. Seagrass tissue was carefully separated from infauna and shell harsh before further processing. From each core sample, six seagrass shoots were selected at haphazardly. Newly formed leaves (the youngest leaf in a shoot bundle) were gently scraped and rinsed in Milli-Q water to remove algal and faunal epiphytes. The rinsed tissue samples were then dried to a constant weight at 60°C and homogenized by grinding to a fine powder using a mortar and pestle. Tissue samples were re-dried in an oven overnight at 60ºC. Once dry, the samples were manually homogenized with a mortar and pestle and/or a Wig-L-Bug device. Approximately 1 mg of sample was weighed into tin capsules at the University of Texas at Austin – Marine Science Institute, Core Isotope Facility in Port Aransas, Texas. Samples were analyzed using an automated system for coupled nitrogen- and carbon-isotope measurements using a Thermo Fisher Scientific Flash EA-Isolink CNSOH elemental analyzer connected to a Thermo Fisher Scientific Delta V Plus isotope-ratio-mass-spectrometer. The isotope results are presented using the conventional δ-notation:</p>
<p>δ 13C (or δ 15N) = [(R sample /R standard) - 1] (in ‰)</p>
<p>where R sample and R standard = 13C/ 12C (or 15N/ 14N). All δ-values are reported relative to VPDB for carbon and AIR for nitrogen, unless otherwise stated (Coplen 1996). A two-point calibration of δ 13 C to VPDB and to δ 15 N to AIR is achieved using USGS-40 (−26.39‰,−4.52‰) and USGS-41a (+36.55‰, +47.55‰), respectively. Internal laboratory standards Peach Leaf and Casein were used to evaluate the accuracy and precision of the carbon and nitrogen isotope results, which should have a standard deviation of less than 0.2‰.</p>
Specified by the Principal Investigator(s)
<p>BCO-DMO Processing:<br />
- changed "." to "nd" to indicate "no data";<br />
- renamed fields;<br />
- converted date to YYYY-MM-DD format;<br />
- removed the percent sign from the values in the pcnt columns.</p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
PI Supplied Instrument Name: Instrument Name: Drying Oven Instrument Short Name: Instrument Description: a heated chamber for drying
Thermo Fisher Scientific Flash EA-Isolink CNSOH elemental analyzer
Thermo Fisher Scientific Flash EA-Isolink CNSOH elemental analyzer
PI Supplied Instrument Name: Thermo Fisher Scientific Flash EA-Isolink CNSOH elemental analyzer Instrument Name: Elemental Analyzer Instrument Short Name: Instrument Description: Instruments that quantify carbon, nitrogen and sometimes other elements by combusting the sample at very high temperature and assaying the resulting gaseous oxides. Usually used for samples including organic material. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB01/
mortar and pestle and/or a Wig-L-Bug device
mortar and pestle and/or a Wig-L-Bug device
PI Supplied Instrument Name: mortar and pestle and/or a Wig-L-Bug device Instrument Name: Homogenizer Instrument Short Name:Homogenizer Instrument Description: A homogenizer is a piece of laboratory equipment used for the homogenization of various types of material, such as tissue, plant, food, soil, and many others.
Thermo Fisher Scientific Delta V Plus isotope-ratio-mass-spectrometer
Thermo Fisher Scientific Delta V Plus isotope-ratio-mass-spectrometer
PI Supplied Instrument Name: Thermo Fisher Scientific Delta V Plus isotope-ratio-mass-spectrometer Instrument Name: Isotope-ratio Mass Spectrometer Instrument Short Name:IR Mass Spec; IRMS Instrument Description: The Isotope-ratio Mass Spectrometer is a particular type of mass spectrometer used to measure the relative abundance of isotopes in a given sample (e.g. VG Prism II Isotope Ratio Mass-Spectrometer). Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB16/
Diver
Diver
PI Supplied Instrument Name: Diver Instrument Name: Manual Biota Sampler Instrument Short Name:Manual Biota Sampler Instrument Description: "Manual Biota Sampler" indicates that a sample was collected in situ by a person, possibly using a hand-held collection device such as a jar, a net, or their hands. This term could also refer to a simple tool like a hammer, saw, or other hand-held tool. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/90/
PVC core
PVC core
PI Supplied Instrument Name: PVC core PI Supplied Instrument Description:PVC (polyvinyl chloride) core of 15 cm inner diameter Instrument Name: Push Corer Instrument Short Name: Instrument Description: Capable of being performed in numerous environments, push coring is just as it sounds. Push coring is simply pushing the core barrel (often an aluminum or polycarbonate tube) into the sediment by hand. A push core is useful in that it causes very little disturbance to the more delicate upper layers of a sub-aqueous sediment.
Description obtained from: http://web.whoi.edu/coastal-group/about/how-we-work/field-methods/coring/