http://lod.bco-dmo.org/id/dataset/814871
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
2020-06-11
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Sampling sites, hydrographic measurements and percent cover of seagrass sampled at the southern Aransas Bay, northern Corpus Christi Bay and East Flat region of Corpus Christi bay between November 2017 and December 2018
2020-06-15
publication
2020-06-15
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2020-09-22
publication
https://doi.org/10.26008/1912/bco-dmo.814871.1
Lauren Yeager
University of Texas - Marine Science Institute
principalInvestigator
Kenneth Dunton
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., Dunton, K. (2020) Sampling sites, hydrographic measurements and percent cover of seagrass sampled at the southern Aransas Bay, northern Corpus Christi Bay and East Flat region of Corpus Christi bay between November 2017 and December 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-06-15 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.814871.1 [access date]
Dataset Description: <p>Sampling sites, hydrographic measurements and percent cover of seagrass sampled at the southern Aransas Bay (Redfish Bay area), northern Corpus Christi Bay (Redfish Bay area) and East Flat region of Corpus Christi bay between November 2017 and December 2018.</p> Methods and Sampling: <p><u>Sampling sites</u></p>
<p>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.</p>
<p>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).</p>
<p>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).&nbsp; 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).&nbsp;</p>
<p>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.</p>
<p>The 16 Redfish Bay area sites were sampled in November 2017, March 2018, July 2018, and November 2018.&nbsp; The East flats sites were sampled during July and November 2018.</p>
<p><u>Hydrographic measurements</u></p>
<p>At each sampling site, the data sonde was lowered into the water from the side of the boat so that the instrument probes are completely submerged. We measured hydrographic measurements including water depth (m), conductivity (μS/cm), specific conductivity (μS/cm), temperature (C), salinity, dissolved oxygen (% and mg/L), chlorophyll a fluorescence (μg/L), and pH were collected using a YSI 6920 data sonde. Parameter measurements were recorded once readings stabilized at the water surface. In the field, dissolved oxygen levels were checked for accuracy based on 100% saturation at the water-atmosphere interface and recalibrated as necessary.</p>
<p>Care was taken to avoid agitating the benthos since this can re-suspend microalgae and compromise the accuracy of the in situ chlorophyll probe. All sonde measurements and water samples were obtained prior to the deployment of benthic sampling equipment. Upon return to the laboratory, a post-calibration check was performed on salinity, pH, dissolved oxygen, and chlorophyll a. If data sonde probes could not be calibrated or did not maintain their calibration, they were replaced.</p>
<p>Sonde handling:</p>
<p>In the field, dissolved oxygen levels were checked for accuracy based on 100% saturation at the water-atmosphere interface and recalibrated as necessary. The YSI 6920-V2 data sonde was calibrated daily prior to each use in the field. Because the sonde uses temperature compensation, it was important that the temperature probe was properly verified with a traceable digital thermometer in a bucket of tap water. The temperature probe was checked on a daily basis by comparing the readings of multiple data sondes and was verified weekly using a digital thermometer. For conductivity and pH calibration, the calibration cup and sensors were pre-rinsed three times with a small amount of the standard prior to calibration. The conductivity sensors were then submerged completely in the solution, and gently shaken to dislodge any visible air bubbles that may be trapped by the sensor. Three-point calibration was used for pH and calibration steps were followed according to manufacturer’s instructions depending on the particular buffer solutions used. Dissolved oxygen calibration was performed in a 100% saturated Freshwater bath for 10 minutes following manufacturer instructions. The chlorophyll sensor was calibrated in DI water, running the wiper at least once to ensure a zero reading on the sensor. If necessary, a two-point calibration was conducted according to manufacturer’s specifications using dye standards. Any error messages during any of these calibrations were investigated and appropriately solved before utilizing any data output from the data sonde. Instrument calibration was recorded in a logbook. Upon return to the laboratory, a post-calibration check was performed on salinity, pH, dissolved oxygen, and chlorophyll <em>a</em>. If data sonde probes could not be calibrated or did not maintain their calibration, they were replaced.</p>
<p><u>Seagrass percent cover</u></p>
<p>Species composition and areal coverage were obtained from two replicate quadrat samples per station at two cardinal locations from the vessel boat (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 m<sup>2</sup> quadrat framer subdivided into 100 cells.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1807143 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1807143
completed
Lauren Yeager
University of Texas - Marine Science Institute
750 Channel View Dr
Port Aransas
TX
78373
US
laurenayeager@gmail.com
pointOfContact
Kenneth Dunton
361-749-6728
750 Channel View Drive
Port Aransas
TX
78373
USA
ken.dunton@utexas.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Site_ID
Site_Latitude
Site_Longitude
Date
Time
Depth
Secchi_depth
Wind
Temp
Sp_Cond
Cond
Salinity
DO_percent
DO
Sonde_Depth
pH
Chl_a
Q1_Halodule
Q1_Thalassia
Q1_Syringodium
Q1_Ruppia
Q1_Wrack
Q1_Bare
Q1_Other
Q2_Halodule
Q2_Thalassia
Q2_Syringodium
Q2_Ruppia
Q2_Wrack
Q2_Bare
Q2_Other
Notes
ISO_DateTime_UTC
YSI 6920-V2 data sonde
theme
None, User defined
site
latitude
longitude
date
time of day
depth
wind_speed
water temperature at measurement depth
conductivity
salinity
dissolved Oxygen
pH
chlorophyll a
percent coverage
comments
ISO_DateTime_UTC
featureType
BCO-DMO Standard Parameters
YSI Sonde 6-Series
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: Degradation and Resilience of Seagrass Ecosystem Structure and Function following a Direct Impact by Hurricane Harvey
https://osprey.bco-dmo.org/project/751046
RAPID: Degradation and Resilience of Seagrass Ecosystem Structure and Function following a Direct Impact by Hurricane Harvey
<p>NSF Award Abstract:</p>
<p>Disturbance has long been recognized as a major organizing force in marine communities with the potential to shape biodiversity. Hurricanes provide a natural experiment to understand how acute physical disturbances (storm surge and wind energy) may interact with longer-term changes in environmental conditions (salinity or turbidity) to alter the structure and function of ecological communities. As models indicate that hurricane intensity and precipitation will increase with a warming climate, understanding the response and recovery of coastal ecosystems is of critical societal importance. Harvey made landfall as a Category Four hurricane on the Texas coast on August 25, 2017, bringing extreme rainfall as the storm stalled over the middle Texas coast. The heavy rainfall and freshwater run-off created a low salinity lens that continues to persist two months later. Seagrass ecosystems may be particularly vulnerable because they grow on shallow, soft-sediment bottoms (and thus are easily dislodged or buried) and because seagrasses are sensitive to changes in salinity and turbidity. The societal implications of seagrass loss are well recognized: seagrasses provide highly valuable ecosystem services of large economic value for estuarine and nearshore dependent fisheries, serve as nursery habitats, and sequester gigatons of carbon on a global scale. Using measurements of the health and function of the seagrass and of the community for which it is habitat, the PIs are assessing the impact of the hurricane and of the persistent freshwater lens. Context is provided by looking at non-impacted sites and by six prior years of data.</p>
<p>This project addresses the overarching question: How do intense physical disturbances in conjunction with chronic chemophysical perturbations affect loss and recovery of seagrass community structure and function, including local production, trophic linkages, and metazoan community diversity? To understand the impacts of Hurricane Harvey on seagrass ecosystems across the middle Texas coast, the investigators are (1) documenting losses in physical habitat structure, (2) teasing apart independent and interactive effects of multiple stressors associated with storm events on biodiversity and ecosystem function, and (3) identifying factors that promote resilience following disturbance. A state-wide seagrass monitoring program with six years of data from areas within Harvey's path and surrounding seagrass systems will provide invaluable context. The investigators are measuring seagrass structure, employing a Before-After-Control-Impact design at sites that experienced severe physical damage and appropriate reference sites. In situ loggers deployed after the storm track the evolution of the low salinity event together with seagrass physiological stress measurements (e.g. chlorophyll fluorescence, pigment loss, reduced growth). Changes in seagrass habitat function is assessed through measurements of faunal biodiversity within impacted and reference sites sampled via cores, benthic push nets, and seine nets. Tethering assays of seagrass blades and common invertebrate prey enables comparison trophic interactions across sites that vary in disturbance impact. These data are used to create models of ecosystem response to an extreme disturbance event and identify factors that best predict recovery of the physical structure of the habitat and of associated ecosystem functions.</p>
Harvey Seagrass
largerWorkCitation
project
eng; USA
oceans
-97.15306
-97.08199
27.75471
27.99366
2017-11-03
2018-12-01
Corpus Christi Bay and Mission-Aransas Bays, Texas, USA
0
BCO-DMO catalogue of parameters from Sampling sites, hydrographic measurements and percent cover of seagrass sampled at the southern Aransas Bay, northern Corpus Christi Bay and East Flat region of Corpus Christi bay between November 2017 and December 2018
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/815290.rdf
Name: Site_ID
Units: unitless
Description: <p>Site name</p>
http://lod.bco-dmo.org/id/dataset-parameter/815291.rdf
Name: Site_Latitude
Units: decimal degrees
Description: <p>Latitude of sampling site, south is negative</p>
http://lod.bco-dmo.org/id/dataset-parameter/815292.rdf
Name: Site_Longitude
Units: decimal degrees
Description: <p>Longitude of sampling site, west is negative</p>
http://lod.bco-dmo.org/id/dataset-parameter/815293.rdf
Name: Date
Units: unitless
Description: <p>Date sampled</p>
http://lod.bco-dmo.org/id/dataset-parameter/815294.rdf
Name: Time
Units: unitless
Description: <p>Time arrived at site (US Central local Time)</p>
http://lod.bco-dmo.org/id/dataset-parameter/815295.rdf
Name: Depth
Units: centimeters (cm)
Description: <p>Depth of the water column</p>
http://lod.bco-dmo.org/id/dataset-parameter/815296.rdf
Name: Secchi_depth
Units: centimeters (cm)
Description: <p>Secchi depth in cm</p>
http://lod.bco-dmo.org/id/dataset-parameter/815297.rdf
Name: Wind
Units: kilmeters per hour (kph)
Description: <p>Wind speed in kilometers per hour</p>
http://lod.bco-dmo.org/id/dataset-parameter/815298.rdf
Name: Temp
Units: degrees Celsius (°C)
Description: <p>Surface water temperature</p>
http://lod.bco-dmo.org/id/dataset-parameter/815299.rdf
Name: Sp_Cond
Units: micro Siemens per centimeters (μS/cm)
Description: <p>Specific conductivity of surface water</p>
http://lod.bco-dmo.org/id/dataset-parameter/815300.rdf
Name: Cond
Units: micro Siemens per centimeters (μS/cm)
Description: <p>Conductivity of surface water</p>
http://lod.bco-dmo.org/id/dataset-parameter/815301.rdf
Name: Salinity
Units: unitless
Description: <p>Salinity of surface water</p>
http://lod.bco-dmo.org/id/dataset-parameter/815302.rdf
Name: DO_percent
Units: percentage (%)
Description: <p>Percent saturation of disolved oxygen</p>
http://lod.bco-dmo.org/id/dataset-parameter/815303.rdf
Name: DO
Units: milligrams per liter (mg/L)
Description: <p>Dissolved oxygen</p>
http://lod.bco-dmo.org/id/dataset-parameter/815304.rdf
Name: Sonde_Depth
Units: meters (m)
Description: <p>Depth of YSI sonde during water qulity measurements</p>
http://lod.bco-dmo.org/id/dataset-parameter/815305.rdf
Name: pH
Units: unitless
Description: <p>Ph of surface water</p>
http://lod.bco-dmo.org/id/dataset-parameter/815306.rdf
Name: Chl_a
Units: micrograms per liter (μg/L)
Description: <p>Chlorophyll a concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/815307.rdf
Name: Q1_Halodule
Units: percentage (%)
Description: <p>Percent cover of Halodule wrightii in Quadrat 1</p>
http://lod.bco-dmo.org/id/dataset-parameter/815308.rdf
Name: Q1_Thalassia
Units: percentage (%)
Description: <p>Percent cover of Thalassia testutinum in Quadrat 1</p>
http://lod.bco-dmo.org/id/dataset-parameter/815309.rdf
Name: Q1_Syringodium
Units: percentage (%)
Description: <p>Percent cover of Syringodium filiforme in Quadrat 1</p>
http://lod.bco-dmo.org/id/dataset-parameter/815310.rdf
Name: Q1_Ruppia
Units: percentage (%)
Description: <p>Percent cover of Ruppia marina in Quadrat 1</p>
http://lod.bco-dmo.org/id/dataset-parameter/815311.rdf
Name: Q1_Wrack
Units: percentage (%)
Description: <p>Percent cover of seagrass wrack or dead biomass in Quadrat 1</p>
http://lod.bco-dmo.org/id/dataset-parameter/815312.rdf
Name: Q1_Bare
Units: percentage (%)
Description: <p>Percent cover of bare substrate in Quadrat 1</p>
http://lod.bco-dmo.org/id/dataset-parameter/815313.rdf
Name: Q1_Other
Units: percentage (%)
Description: <p>Percent cover of other cover types in Quadrat 1</p>
http://lod.bco-dmo.org/id/dataset-parameter/815314.rdf
Name: Q2_Halodule
Units: percentage (%)
Description: <p>Percent cover of Halodule wrightii in Quadrat 2</p>
http://lod.bco-dmo.org/id/dataset-parameter/815315.rdf
Name: Q2_Thalassia
Units: percentage (%)
Description: <p>Percent cover of Thalassia testutinum in Quadrat 2</p>
http://lod.bco-dmo.org/id/dataset-parameter/815316.rdf
Name: Q2_Syringodium
Units: percentage (%)
Description: <p>Percent cover of Syringodium filiforme in Quadrat 2</p>
http://lod.bco-dmo.org/id/dataset-parameter/815317.rdf
Name: Q2_Ruppia
Units: percentage (%)
Description: <p>Percent cover of Ruppia marina in Quadrat 2</p>
http://lod.bco-dmo.org/id/dataset-parameter/815318.rdf
Name: Q2_Wrack
Units: percentage (%)
Description: <p>Percent cover of seagrass wrack or dead biomass in Quadrat 2</p>
http://lod.bco-dmo.org/id/dataset-parameter/815319.rdf
Name: Q2_Bare
Units: percentage (%)
Description: <p>Percent cover of bare substrate in Quadrat 2</p>
http://lod.bco-dmo.org/id/dataset-parameter/815320.rdf
Name: Q2_Other
Units: percentage (%)
Description: <p>Percent cover of other cover types in Quadrat 2</p>
http://lod.bco-dmo.org/id/dataset-parameter/815321.rdf
Name: Notes
Units: unitless
Description: <p>Notes</p>
http://lod.bco-dmo.org/id/dataset-parameter/815322.rdf
Name: ISO_DateTime_UTC
Units: unitless
Description: <p>Date/Time (UTC) ISO formatted (YYYY-MM-DDTHH:MM)</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
18767
https://darchive.mblwhoilibrary.org/bitstream/1912/26201/1/dataset-814871_site-data-hydrographic-measurements-and-seagrass-cover__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.814871.1
download
onLine
dataset
<p><u>Sampling sites</u></p>
<p>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.</p>
<p>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).</p>
<p>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).&nbsp; 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).&nbsp;</p>
<p>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.</p>
<p>The 16 Redfish Bay area sites were sampled in November 2017, March 2018, July 2018, and November 2018.&nbsp; The East flats sites were sampled during July and November 2018.</p>
<p><u>Hydrographic measurements</u></p>
<p>At each sampling site, the data sonde was lowered into the water from the side of the boat so that the instrument probes are completely submerged. We measured hydrographic measurements including water depth (m), conductivity (μS/cm), specific conductivity (μS/cm), temperature (C), salinity, dissolved oxygen (% and mg/L), chlorophyll a fluorescence (μg/L), and pH were collected using a YSI 6920 data sonde. Parameter measurements were recorded once readings stabilized at the water surface. In the field, dissolved oxygen levels were checked for accuracy based on 100% saturation at the water-atmosphere interface and recalibrated as necessary.</p>
<p>Care was taken to avoid agitating the benthos since this can re-suspend microalgae and compromise the accuracy of the in situ chlorophyll probe. All sonde measurements and water samples were obtained prior to the deployment of benthic sampling equipment. Upon return to the laboratory, a post-calibration check was performed on salinity, pH, dissolved oxygen, and chlorophyll a. If data sonde probes could not be calibrated or did not maintain their calibration, they were replaced.</p>
<p>Sonde handling:</p>
<p>In the field, dissolved oxygen levels were checked for accuracy based on 100% saturation at the water-atmosphere interface and recalibrated as necessary. The YSI 6920-V2 data sonde was calibrated daily prior to each use in the field. Because the sonde uses temperature compensation, it was important that the temperature probe was properly verified with a traceable digital thermometer in a bucket of tap water. The temperature probe was checked on a daily basis by comparing the readings of multiple data sondes and was verified weekly using a digital thermometer. For conductivity and pH calibration, the calibration cup and sensors were pre-rinsed three times with a small amount of the standard prior to calibration. The conductivity sensors were then submerged completely in the solution, and gently shaken to dislodge any visible air bubbles that may be trapped by the sensor. Three-point calibration was used for pH and calibration steps were followed according to manufacturer’s instructions depending on the particular buffer solutions used. Dissolved oxygen calibration was performed in a 100% saturated Freshwater bath for 10 minutes following manufacturer instructions. The chlorophyll sensor was calibrated in DI water, running the wiper at least once to ensure a zero reading on the sensor. If necessary, a two-point calibration was conducted according to manufacturer’s specifications using dye standards. Any error messages during any of these calibrations were investigated and appropriately solved before utilizing any data output from the data sonde. Instrument calibration was recorded in a logbook. Upon return to the laboratory, a post-calibration check was performed on salinity, pH, dissolved oxygen, and chlorophyll <em>a</em>. If data sonde probes could not be calibrated or did not maintain their calibration, they were replaced.</p>
<p><u>Seagrass percent cover</u></p>
<p>Species composition and areal coverage were obtained from two replicate quadrat samples per station at two cardinal locations from the vessel boat (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 m<sup>2</sup> quadrat framer subdivided into 100 cells.</p>
Specified by the Principal Investigator(s)
<p>BCO-DMO processing notes:</p>
<ul>
<li>Converted Date and Time columns to ISO format</li>
<li>Added ISO_DateTime_UTC column</li>
<li>Replaced , and 's by ; and is respectively to comply with database requirements</li>
<li>Adjusted column names to comply with database requirements</li>
</ul>
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
YSI 6920-V2 data sonde
YSI 6920-V2 data sonde
PI Supplied Instrument Name: YSI 6920-V2 data sonde PI Supplied Instrument Description:In the field, dissolved oxygen levels were checked for accuracy based on 100% saturation at the water-atmosphere interface and recalibrated as necessary. The YSI 6920-V2 data sonde was calibrated daily prior to each use in the field. Because the sonde uses temperature compensation, it was important that the temperature probe was properly verified with a traceable digital thermometer in a bucket of tap water. The temperature probe was checked on a daily basis by comparing the readings of multiple data sondes and was verified weekly using a digital thermometer. For conductivity and pH calibration, the calibration cup and sensors were pre-rinsed three times with a small amount of the standard prior to calibration. The conductivity sensors were then submerged completely in the solution, and gently shaken to dislodge any visible air bubbles that may be trapped by the sensor. Three-point calibration was used for pH and calibration steps were followed according to manufacturer’s instructions depending on the particular buffer solutions used. Dissolved oxygen calibration was performed in a 100% saturated Freshwater bath for 10 minutes following manufacturer instructions. The chlorophyll sensor was calibrated in DI water, running the wiper at least once to ensure a zero reading on the sensor. If necessary, a two-point calibration was conducted according to manufacturer’s specifications using dye standards. Any error messages during any of these calibrations were investigated and appropriately solved before utilizing any data output from the data sonde. Instrument calibration was recorded in a logbook. Upon return to the laboratory, a post-calibration check was performed on salinity, pH, dissolved oxygen, and chlorophyll a. If data sonde probes could not be calibrated or did not maintain their calibration, they were replaced. Instrument Name: YSI Sonde 6-Series Instrument Short Name:YSI Sonde 6-Series Instrument Description: YSI 6-Series water quality sondes and sensors are instruments for environmental monitoring and long-term deployments. YSI datasondes accept multiple water quality sensors (i.e., they are multiparameter sondes). Sondes can measure temperature, conductivity, dissolved oxygen, depth, turbidity, and other water quality parameters. The 6-Series includes several models. More from YSI. Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0737/