http://lod.bco-dmo.org/id/dataset/821061 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 2020-08-17 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Water quality data from surveys, experiments and the NERR data sonde, sub-tropical estuarine waters, subtidal and intertidal in Apalachicola Bay and Ocholckonee Bay, Florida, 2013-2019 2020-07-29 publication 2020-07-29 revision Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA) 2020-10-05 publication https://doi.org/10.26008/1912/bco-dmo.821061.1 David L. Kimbro Northeastern University principalInvestigator Christopher D. Stallings University of South Florida principalInvestigator J. Wilson White Oregon State University 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: Kimbro, D. L., Stallings, C. D., White, J. W. (2020) Water quality data from surveys, experiments and the NERR data sonde, sub-tropical estuarine waters, subtidal and intertidal in Apalachicola Bay and Ocholckonee Bay, Florida, 2013-2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-07-29 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.821061.1 [access date] Water Quality Dataset Description: &lt;p&gt;Water quality data from surveys, experiments and the National Estuarine Research Reserve&amp;nbsp;(NERR) data sonde, sub-tropical estuarine waters, subtidal and intertidal in Apalachicola Bay and Ocholckonee Bay, Florida, 2013-2019.&lt;/p&gt; Methods and Sampling: &lt;p&gt;Site Selection- From Hanley et. al 2019, this was a multi-step process that first involved using ArcGIS to partition the bay’s oyster reefs (commercial and non-commercial) into six zones. Zone assignment was based on the reef’s relative distance by water from the river input (near, mid, far) as well as a reef’s east-west orientation to the river (East Apalachicola and West Apalachicola). Next, we randomly selected three reefs out of all possible reefs (including the experimental reefs) within each zone.&lt;/p&gt; &lt;p&gt;Surveys- Methods for surveys done from 2013-2016 were taken from Hanley et al. 2019.&lt;/p&gt; &lt;p&gt;Surveys 2013-2016-On each reef subtidal reef, we obtained spatially balanced samples by extending four 20 m transects at 90 degree angles from the boat. Along each transect, we overlaid a 0.25 m2&amp;nbsp;weighted quadrat at the 5, 10, 15, and 20 m marks. For each quadrat, we collected the entire contents of the quadrat into a uniquely labeled mesh bag, transported the bag to the surface, and placed the bag on ice to be processed at the lab. For intertidal reefs, we sampled 2 quadrats per reef, ‘low’ (located at the low water level) and ‘high’ (2 m above the low transect) quadrats centered along a 20 m transect on each reef.&lt;/p&gt; &lt;p&gt;Surveys 2019- Sites were selected from previously sampled reefs. Subtidal surveys were conducted by divers on SCUBA. A buoy was dropped at the sites. The divers attached a 10m transect to the buoy and surveyed the area in the four cardinal directions (North, South, East and West). We characterized the substrate 0.5m on each side of the transect as mud, sand or shell hash, as well as quantified the amount of oyster shells and counted the number of Oyster Drills (Stramonita haemastoma). If there were oysters or shells at meter 5 or meter 10 along the transect then everything in a 0.25m2 quadrat was collected and processed at the lab. We only sampled the intertidal sites in December 2019. We laid a transect across the crest of the reef and then divided the length of the transect by 7 to get a consistent sampling interval. At each sampling interval we recorded the width of the sampling side and then placed a 0.0625m2 quadrat at the midpoint of the sampling width and collected all the contents to be brought back to the lab and processed.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Water Quality Data&lt;/strong&gt; - For each sample labeled 'survey', 'experiment' or 'spat', we used a YSI to obtain dissolved oxygen, temperature, salinity and pH at the surface and at the bottom.&lt;/p&gt; &lt;p&gt;Samples labeled 'surveys', 'experiments' or 'spat' were collected during surveys and experiments with a YSI Pro 2030. Samples collected from the Apalachicola Bay NERR at Cat Point were taken from the NERR CDMO database. Samples labeled 'seabird' were from a Seabird SBE 19plus V2 at a 150-second sampling interval. Samples labeled dacs were taken from Florida Department of Agriculture and Consumer Services.&lt;/p&gt; Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1917015 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1917015 completed David L. Kimbro Northeastern University 617-373-2059 430 Nahant Rd. Nahant MA 01908 U.S.A. d.kimbro@northeastern.edu pointOfContact Christopher D. Stallings University of South Florida 727-553-3371 College of Marine Science 140 7th Avenue South St Petersburg FL 33701 US stallings@usf.edu pointOfContact J. Wilson White Oregon State University will.white@oregonstate.edu pointOfContact asNeeded Dataset Version: 1 Unknown reef_type estuary region distance reef_name reef sample_type Lat Long Transect date_local time_local ISO_DateTime_UTC week year surf_bot do_mg_l do_perc temp_C sal_ppt ph sp_cond_us_cm notes Seabird SBE 19plus V2 YSI Pro 2030 theme None, User defined station_desc region station sample description latitude longitude transect date_local time_local ISO_DateTime_UTC time_point year dissolved Oxygen Dissolved oxygen (percent) water temperature at measurement depth salinity pH specific conductance comments featureType BCO-DMO Standard Parameters CTD Sea-Bird SBE SEACAT 19plus Water Quality Multiprobe 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. Collaborative Research: RAPID: Quantifying mechanisms by which Hurricane Michael facilitates a stable-state reversal on oyster reefs https://osprey.bco-dmo.org/project/816537 Collaborative Research: RAPID: Quantifying mechanisms by which Hurricane Michael facilitates a stable-state reversal on oyster reefs <p>NSF Award Abstract:</p> <p>Ecosystems can exhibit "tipping points" whereby an environmental disturbance pushes an ecosystem into an altered state from which it does not recover, even when the environment normalizes. This may have happened to valuable oyster reefs in Northwest Florida in 2012, when drought and low river flow allowed predators of oysters to flourish and consume nearly all the oysters. Despite subsequent years of normal rainfall and river flow, oysters have not recovered, suggesting the ecosystem may have crossed a tipping point. However, the timing and magnitude of the disturbance from Hurricane Michael (2018) may have pushed the ecosystem back towards its original, healthy state. In this project, investigators make field observations to gauge how predators and oysters are responding to Hurricane Michael and conduct lab experiments to test how predators and oysters respond to hurricane rainfall conditions. Additionally, they use mathematical models to predict whether effects observed in the field and lab could lead to a shift back past the tipping point. This is a rare opportunity to study how oyster ecosystems can shift back from altered to healthy states. However, a rapid response is essential before seasonal changes in the weather and bay obscure hurricane impacts. This research has several broader impacts. First, it will expand the ecological theory of tipping points. Second, it can support the management of the Apalachicola Bay oyster fishery, such as insight into the likely success of restoration efforts. The team coordinates with the Apalachicola National Estuarine Research Reserve to this end. Finally, research outputs are incorporated into ongoing public education and training efforts.</p> <p> Ecosystems can rapidly shift from their original, high-value state to a new, degraded one. Such shifts have been observed in many ecosystems, but it is sometimes difficult to identify the mechanisms that mediate the shift beyond a "tipping point" and - to a greater extent - those that could mediate a shift back to the original state. Improving our understanding and predictive capability of tipping points depends on identifying the mechanisms that underlie bi-directional system shifts. In 2012, the oyster reefs of Apalachicola Bay, FL abruptly shifted into an oyster-less state when prolonged drought and low river flow allowed marine oyster predators to flourish. Despite subsequent years of normal rainfall and flow, there has not been a return shift, suggesting this ecosystem may have entered an alternate stable state. The hypothesis of this work is that in 2018 Hurricane Michael provided a sufficient disturbance to shift the system back into the attracting basin for its original state (prior observations support this prediction). This project couples field observations and lab experiments with population modeling to test whether and how Hurricane Michael initiated a reversal shift. A rapid response is essential before seasonal variability in this ecosystem obscures hurricane effects. The proposal's intellectual merit is based on its ability to address a central goal in ecology: identifying and predicting ecosystem tipping points. Combining empirical observations and models is a promising approach to advance this goal, but has not been widely applied in the field, mainly because researchers are not in place at the time of a shift. Hurricane Michael provides a unique opportunity to address this knowledge gap.</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> Oyster Reef Reversal largerWorkCitation project eng; USA oceans -84.33465 -84.33465 29.67227 29.67227 2013-01-01 2019-12-14 Sub-tropic estuarine waters, subtidal and intertidal in Apalachicola Bay and Ocholckonee Bay 0 BCO-DMO catalogue of parameters from Water quality data from surveys, experiments and the NERR data sonde, sub-tropical estuarine waters, subtidal and intertidal in Apalachicola Bay and Ocholckonee Bay, Florida, 2013-2019 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/825408.rdf Name: reef_type Units: unitless Description: <p>subtidal or intertidal reef</p> http://lod.bco-dmo.org/id/dataset-parameter/825409.rdf Name: estuary Units: unitless Description: <p>name of the estuary: Apalachicola or Ocholckonee</p> http://lod.bco-dmo.org/id/dataset-parameter/825410.rdf Name: region Units: unitless Description: <p>area in the bay: east; west; ocholckonee</p> http://lod.bco-dmo.org/id/dataset-parameter/825411.rdf Name: distance Units: unitless Description: <p>distance from the river: zone 1 or 2 or 3. 1 is the closest and 3 is the furthest from freshwater input</p> http://lod.bco-dmo.org/id/dataset-parameter/825412.rdf Name: reef_name Units: unitless Description: <p>Name of the reefs in experiments (2013-2016)</p> http://lod.bco-dmo.org/id/dataset-parameter/825413.rdf Name: reef Units: unitless Description: <p>number of the reef; Cat indicates data from Apalachicola National Estuarian Research Reserve at Catpoint in Apalachicola Bay</p> http://lod.bco-dmo.org/id/dataset-parameter/825414.rdf Name: sample_type Units: unitless Description: <p>sample collected during: survey; experiment; dacs; seabird; spat; NERR</p> http://lod.bco-dmo.org/id/dataset-parameter/825415.rdf Name: Lat Units: decimal degrees Description: <p>latitude; north is positive</p> http://lod.bco-dmo.org/id/dataset-parameter/825416.rdf Name: Long Units: decimal degrees Description: <p>longitude; east is positive</p> http://lod.bco-dmo.org/id/dataset-parameter/825417.rdf Name: Transect Units: unitless Description: <p>The transect name. Used to help identify different sites</p> http://lod.bco-dmo.org/id/dataset-parameter/825418.rdf Name: date_local Units: unitless Description: <p>date the sample was taken</p> http://lod.bco-dmo.org/id/dataset-parameter/825419.rdf Name: time_local Units: unitless Description: <p>time the sample was taken; Eastern Standard Time (UTC-4)</p> http://lod.bco-dmo.org/id/dataset-parameter/825420.rdf Name: ISO_DateTime_UTC Units: unitless Description: <p>Date/Time (UTC) ISO formatted based on ISO 8601:2004E; formatted as YYYY-mm-ddTHH:MM:SSZ</p> http://lod.bco-dmo.org/id/dataset-parameter/825421.rdf Name: week Units: unitless Description: <p>week of year that sample was taken (1 to 53)</p> http://lod.bco-dmo.org/id/dataset-parameter/825422.rdf Name: year Units: unitless Description: <p>year in which sample was collected</p> http://lod.bco-dmo.org/id/dataset-parameter/825423.rdf Name: surf_bot Units: unitless Description: <p>whether the measurment was taken at the surface or the bottom</p> http://lod.bco-dmo.org/id/dataset-parameter/825424.rdf Name: do_mg_l Units: milligrams/liter Description: <p>dissolved oxygen</p> http://lod.bco-dmo.org/id/dataset-parameter/825425.rdf Name: do_perc Units: unitless Description: <p>Percentage of dissolved oxygen</p> http://lod.bco-dmo.org/id/dataset-parameter/825426.rdf Name: temp_C Units: degrees Celsius Description: <p>temperature</p> http://lod.bco-dmo.org/id/dataset-parameter/825427.rdf Name: sal_ppt Units: parts per thousand Description: <p>salinity</p> http://lod.bco-dmo.org/id/dataset-parameter/825428.rdf Name: ph Units: unitless Description: <p>pH</p> http://lod.bco-dmo.org/id/dataset-parameter/825429.rdf Name: sp_cond_us_cm Units: microSiemens/centimeter Description: <p>specific conductivity</p> http://lod.bco-dmo.org/id/dataset-parameter/825430.rdf Name: notes Units: unitless Description: <p>For DACS sampling in Ocholckonee Bay; the number in the notes column is the DACS station number</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 227169 https://darchive.mblwhoilibrary.org/bitstream/1912/26277/1/dataset-821061_water-quality__v1.tsv download https://doi.org/10.26008/1912/bco-dmo.821061.1 download onLine dataset &lt;p&gt;Site Selection- From Hanley et. al 2019, this was a multi-step process that first involved using ArcGIS to partition the bay’s oyster reefs (commercial and non-commercial) into six zones. Zone assignment was based on the reef’s relative distance by water from the river input (near, mid, far) as well as a reef’s east-west orientation to the river (East Apalachicola and West Apalachicola). Next, we randomly selected three reefs out of all possible reefs (including the experimental reefs) within each zone.&lt;/p&gt; &lt;p&gt;Surveys- Methods for surveys done from 2013-2016 were taken from Hanley et al. 2019.&lt;/p&gt; &lt;p&gt;Surveys 2013-2016-On each reef subtidal reef, we obtained spatially balanced samples by extending four 20 m transects at 90 degree angles from the boat. Along each transect, we overlaid a 0.25 m2&amp;nbsp;weighted quadrat at the 5, 10, 15, and 20 m marks. For each quadrat, we collected the entire contents of the quadrat into a uniquely labeled mesh bag, transported the bag to the surface, and placed the bag on ice to be processed at the lab. For intertidal reefs, we sampled 2 quadrats per reef, ‘low’ (located at the low water level) and ‘high’ (2 m above the low transect) quadrats centered along a 20 m transect on each reef.&lt;/p&gt; &lt;p&gt;Surveys 2019- Sites were selected from previously sampled reefs. Subtidal surveys were conducted by divers on SCUBA. A buoy was dropped at the sites. The divers attached a 10m transect to the buoy and surveyed the area in the four cardinal directions (North, South, East and West). We characterized the substrate 0.5m on each side of the transect as mud, sand or shell hash, as well as quantified the amount of oyster shells and counted the number of Oyster Drills (Stramonita haemastoma). If there were oysters or shells at meter 5 or meter 10 along the transect then everything in a 0.25m2 quadrat was collected and processed at the lab. We only sampled the intertidal sites in December 2019. We laid a transect across the crest of the reef and then divided the length of the transect by 7 to get a consistent sampling interval. At each sampling interval we recorded the width of the sampling side and then placed a 0.0625m2 quadrat at the midpoint of the sampling width and collected all the contents to be brought back to the lab and processed.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Water Quality Data&lt;/strong&gt; - For each sample labeled 'survey', 'experiment' or 'spat', we used a YSI to obtain dissolved oxygen, temperature, salinity and pH at the surface and at the bottom.&lt;/p&gt; &lt;p&gt;Samples labeled 'surveys', 'experiments' or 'spat' were collected during surveys and experiments with a YSI Pro 2030. Samples collected from the Apalachicola Bay NERR at Cat Point were taken from the NERR CDMO database. Samples labeled 'seabird' were from a Seabird SBE 19plus V2 at a 150-second sampling interval. Samples labeled dacs were taken from Florida Department of Agriculture and Consumer Services.&lt;/p&gt; Specified by the Principal Investigator(s) &lt;p&gt;&lt;strong&gt;BCO-DMO Processing Notes:&lt;/strong&gt;&lt;br /&gt; - data submitted in Excel file &quot;Apalachicola_Data_2013-2019_ABP_4.xlsx&quot; sheet &quot;WQ_Data&quot; extracted to csv&lt;br /&gt; - added conventional header with dataset name, PI name, version date&lt;br /&gt; - modified parameter names to conform with BCO-DMO naming conventions&lt;br /&gt; - replaced missing data 'NA' with 'nd'&lt;br /&gt; - changed commas in the notes column to semicolons&lt;br /&gt; - changed dacs to DACS (for Dept of Agriculture and Consumer Services)&lt;br /&gt; - joined this table with sheet &quot;Reef Location&quot; table in order to include lat/lon info&lt;br /&gt; - re-formatted date from m/d/yyyy to yyyy-mm-dd and added&amp;nbsp;ISO_DateTime_UTC column&lt;br /&gt; - re-ordered columns&lt;br /&gt; - reduced digits of: do_mg_l,&amp;nbsp;do_perc,&amp;nbsp;ph (to 2 digits);&amp;nbsp;temp_C,&amp;nbsp;sal_ppt (1 digit)&lt;br /&gt; - sorted rows by&amp;nbsp;{reef_type}{estuary}{region}{distance}{reef}&lt;/p&gt; 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 Seabird SBE 19plus V2 Seabird SBE 19plus V2 PI Supplied Instrument Name: Seabird SBE 19plus V2 PI Supplied Instrument Description:Used to measure conductivity, temperature, and pressure and with auxiliary sensors, measures dissolved oxygen, pH, turbidity, fluorescence, oil, PAR, nitrates, altimeter, etc. Instrument Name: CTD Sea-Bird SBE SEACAT 19plus Instrument Short Name:Sea-Bird SEACAT 19 Plus Instrument Description: Self contained self powered CTD profiler. Measures conductivity, temperature and pressure in both profiling (samples at 4 scans/sec) and moored (sample rates of once every 5 seconds to once every 9 hours) mode. Available in plastic or titanium housing with depth ranges of 600m and 7000m respectively. Minature submersible pump provides water to conductivity cell. YSI Pro 2030 YSI Pro 2030 PI Supplied Instrument Name: YSI Pro 2030 PI Supplied Instrument Description:Used to measure dissolved oxygen, temperature, salinity and pH. Instrument Name: Water Quality Multiprobe Instrument Short Name:Water Quality Multiprobe Instrument Description: An instrument which measures multiple water quality parameters based on the sensor configuration.