http://lod.bco-dmo.org/id/dataset/821793
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
2020-08-25
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
The status of juvenile oysters from a caged and non-caged recruitment experiments using two cohorts from Apalachicola Bay and Ocholckonee Bay stock, 2013-2016 and 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.821793.1
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) The status of juvenile oysters from a caged and non-caged recruitment experiments using two cohorts from Apalachicola Bay and Ocholckonee Bay stock, 2013-2016 and 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.821793.1 [access date]
Juvenile oyster expt: recruitment Dataset Description: <p>The status of juvenile oysters from a caged and non-caged recruitment experiments using two cohorts from Apalachicola Bay and Ocholckonee Bay stock. Reported data include spat density, the numbers of live recruits and 'gapers' on a spat or substrate, 2013-2016 and 2019.</p> Methods and Sampling: <p>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.</p>
<p>Juvenile Experiment 2013-2016: Juvenile oysters were produced from parental broodstocks at a hatchery in Jupiter, Florida (Research Aquaculture, Inc.). To establish each cohort, we collected 25 adult oysters (shell length &gt;75 mm) from 3–5 reefs of each estuary in July 2014 and shipped them to Research Aquaculture, Inc. At the hatchery, adult oysters and their offspring were held under identical conditions in separate flow-through seawater systems to prevent cross contamination between the two bays. The broodstock from each site was manually spawned on the same day. The larvae were held until they settled (~3 weeks) and then moved to a nursery facility at the hatchery under flow-through seawater conditions with standard food concentrations. In August 2014, the two cohorts were transferred to a common flow-through facility at the Florida State University Coastal and Marine Lab. These individuals were reared in a common environment and represented juvenile oyster cohorts of the same age that had experienced identical conditions. Each experimental unit consisted of juvenile oysters (mean shell length 8 mm) that were attached to a ceramic tile (13 cm × 13 cm) using a marine epoxy, and these tiles were affixed to concrete pavers in a vertical position. Tiles of initial densities of 3 or 12 juvenile oysters in 2013 and in 2014 and 2015, 2, 6, and 10 juvenile oysters, respectively. Juvenile oyster tiles were attached to the three unoccupied posts (experimental units) and then randomly assigned among the experimental treatments of cage, cage-control, and control treatment. When each experiment ended, the control and cage-control were removed, but the cage treatment was left on the reefs to continue to generate data on oyster growth through larger adult sizes.</p>
<p>Juvenile Experiment 2019: Juvenile oysters were collected from Easthole(#12) (29.6803, -84.8696). The oysters had settled on to pieces of rock rubble at the site. We separated the rubble into three piles: 1 spat, 2 spat or 3+ spat. We attached the rubble to bird netting using marine epoxy and then attached them to caging material (Industrial Netting).&nbsp; The treatments consisted of a full cage (10”X10”X10”), a cage control:&nbsp;a cage with one panel missing, and a control:&nbsp;a (10” X 10”) panel. The number of&nbsp;ruble&nbsp;pieces inside each&nbsp;treatment varied between 3-5 pieces for a low density, medium density and&nbsp;high-density&nbsp;treatment.&nbsp;&nbsp;Each treatment was attached to a crab trap which had been modified so all the openings were covered with Industrial Netting so fish or other organisms would not get trapped inside.&nbsp; The treatments were cable tied to the outside of the crab trap. Each trap was made up of one of each treatment&nbsp;with the same density of rubble.&nbsp;In each of the three zones in the bay (ABE1, ABE2 and ABE3) we deployed 5 traps along a 15m rope. A week later we came to count the number of surviving oysters. We repeated this again in September 2019 and December 2019. &nbsp;&nbsp;</p>
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
date
round
round_subround
combined_round
days
weeks
field_site
reef
reef_name
latitude
longitude
treatment
plot_id
recruit_substrate
substrate_density
spat_density
rubble_id
spat_id
size_mm
status
live_recruit_count
gaper_recruit_count
notes
YSI
theme
None, User defined
station_desc
region
date_local
experiment id
time_elapsed
site
station
latitude
longitude
treatment
sample identification
sample description
No BCO-DMO term
abundance
length
count
comments
featureType
BCO-DMO Standard Parameters
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
biota
oceans
-85.18216
-84.33401
29.6718
29.97037
2013-07-12
2019-12-06
Sub-tropic estuarine waters, subtidal and intertidal in Apalachicola Bay and Ocholckonee Bay
0
BCO-DMO catalogue of parameters from The status of juvenile oysters from a caged and non-caged recruitment experiments using two cohorts from Apalachicola Bay and Ocholckonee Bay stock, 2013-2016 and 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/826068.rdf
Name: reef_type
Units: unitless
Description: <p>subtidal or intertidal</p>
http://lod.bco-dmo.org/id/dataset-parameter/826069.rdf
Name: estuary
Units: unitless
Description: <p>apalachicola or ochlockonee</p>
http://lod.bco-dmo.org/id/dataset-parameter/826070.rdf
Name: region
Units: unitless
Description: <p>east or west</p>
http://lod.bco-dmo.org/id/dataset-parameter/826071.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/826072.rdf
Name: date
Units: unitless
Description: <p>date experiment was checked</p>
http://lod.bco-dmo.org/id/dataset-parameter/826073.rdf
Name: round
Units: unitless
Description: <p>original experiment round number</p>
http://lod.bco-dmo.org/id/dataset-parameter/826074.rdf
Name: round_subround
Units: unitless
Description: <p>original experiment round number plus the time within the round (so round 1 time 2 becomes 1.2)</p>
http://lod.bco-dmo.org/id/dataset-parameter/826075.rdf
Name: combined_round
Units: unitless
Description: <p>round.subround plus an identifier (AJ = Apalachicola Juvenile Experiment; OJ = Ochlockonee Juvenile Experiment; AP=Apalachicola Pedator Experiment)</p>
http://lod.bco-dmo.org/id/dataset-parameter/826076.rdf
Name: days
Units: days
Description: <p>number of days since deployed</p>
http://lod.bco-dmo.org/id/dataset-parameter/826077.rdf
Name: weeks
Units: weeks
Description: <p>number of weeks since deployed</p>
http://lod.bco-dmo.org/id/dataset-parameter/826078.rdf
Name: field_site
Units: unitless
Description: <p>named field site within region</p>
http://lod.bco-dmo.org/id/dataset-parameter/826079.rdf
Name: reef
Units: unitless
Description: <p>specific reef within the field site</p>
http://lod.bco-dmo.org/id/dataset-parameter/826080.rdf
Name: reef_name
Units: unitless
Description: <p>name of reef</p>
http://lod.bco-dmo.org/id/dataset-parameter/826081.rdf
Name: latitude
Units: decimal degrees
Description: <p>latitude; north is positive</p>
http://lod.bco-dmo.org/id/dataset-parameter/826082.rdf
Name: longitude
Units: decimal degrees
Description: <p>longitude; east is positive</p>
http://lod.bco-dmo.org/id/dataset-parameter/826083.rdf
Name: treatment
Units: unitless
Description: <p>cage; cage control; or control</p>
http://lod.bco-dmo.org/id/dataset-parameter/826084.rdf
Name: plot_id
Units: unitless
Description: <p>each cage; cage control; or control was assigned a unique id/in 2019 the meter the treatment was placed at</p>
http://lod.bco-dmo.org/id/dataset-parameter/826085.rdf
Name: recruit_substrate
Units: unitless
Description: <p>whether the spat is from the juvenile spat experiment or the rubble experiment</p>
http://lod.bco-dmo.org/id/dataset-parameter/826086.rdf
Name: substrate_density
Units: unitless
Description: <p>number of items in a plot: low; medium; high</p>
http://lod.bco-dmo.org/id/dataset-parameter/826087.rdf
Name: spat_density
Units: spat
Description: <p>number of spat in a unit</p>
http://lod.bco-dmo.org/id/dataset-parameter/826088.rdf
Name: rubble_id
Units: unitless
Description: <p>identifier of rubble substrate</p>
http://lod.bco-dmo.org/id/dataset-parameter/826089.rdf
Name: spat_id
Units: unitless
Description: <p>identifier of the deployed oyster</p>
http://lod.bco-dmo.org/id/dataset-parameter/826090.rdf
Name: size_mm
Units: millimeters
Description: <p>size of the deployed oyster</p>
http://lod.bco-dmo.org/id/dataset-parameter/826091.rdf
Name: status
Units: unitless
Description: <p>status of the deployed oyster; l=live; m=everything missing; z=only epoxy; g=gaper; h=half shell; hp=half shell predation; gp=gaper predation</p>
http://lod.bco-dmo.org/id/dataset-parameter/826092.rdf
Name: live_recruit_count
Units: oysters
Description: <p>number of live recruits on a spat or piece of rubble</p>
http://lod.bco-dmo.org/id/dataset-parameter/826093.rdf
Name: gaper_recruit_count
Units: oysters
Description: <p>number of gapers on a spat or a piece of rubble</p>
http://lod.bco-dmo.org/id/dataset-parameter/826094.rdf
Name: notes
Units: unitless
Description: <p>notes and comments</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
5211133
https://darchive.mblwhoilibrary.org/bitstream/1912/26281/1/dataset-821793_juvenile-oyster-expt-recruitment__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.821793.1
download
onLine
dataset
<p>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.</p>
<p>Juvenile Experiment 2013-2016: Juvenile oysters were produced from parental broodstocks at a hatchery in Jupiter, Florida (Research Aquaculture, Inc.). To establish each cohort, we collected 25 adult oysters (shell length &gt;75 mm) from 3–5 reefs of each estuary in July 2014 and shipped them to Research Aquaculture, Inc. At the hatchery, adult oysters and their offspring were held under identical conditions in separate flow-through seawater systems to prevent cross contamination between the two bays. The broodstock from each site was manually spawned on the same day. The larvae were held until they settled (~3 weeks) and then moved to a nursery facility at the hatchery under flow-through seawater conditions with standard food concentrations. In August 2014, the two cohorts were transferred to a common flow-through facility at the Florida State University Coastal and Marine Lab. These individuals were reared in a common environment and represented juvenile oyster cohorts of the same age that had experienced identical conditions. Each experimental unit consisted of juvenile oysters (mean shell length 8 mm) that were attached to a ceramic tile (13 cm × 13 cm) using a marine epoxy, and these tiles were affixed to concrete pavers in a vertical position. Tiles of initial densities of 3 or 12 juvenile oysters in 2013 and in 2014 and 2015, 2, 6, and 10 juvenile oysters, respectively. Juvenile oyster tiles were attached to the three unoccupied posts (experimental units) and then randomly assigned among the experimental treatments of cage, cage-control, and control treatment. When each experiment ended, the control and cage-control were removed, but the cage treatment was left on the reefs to continue to generate data on oyster growth through larger adult sizes.</p>
<p>Juvenile Experiment 2019: Juvenile oysters were collected from Easthole(#12) (29.6803, -84.8696). The oysters had settled on to pieces of rock rubble at the site. We separated the rubble into three piles: 1 spat, 2 spat or 3+ spat. We attached the rubble to bird netting using marine epoxy and then attached them to caging material (Industrial Netting).&nbsp; The treatments consisted of a full cage (10”X10”X10”), a cage control:&nbsp;a cage with one panel missing, and a control:&nbsp;a (10” X 10”) panel. The number of&nbsp;ruble&nbsp;pieces inside each&nbsp;treatment varied between 3-5 pieces for a low density, medium density and&nbsp;high-density&nbsp;treatment.&nbsp;&nbsp;Each treatment was attached to a crab trap which had been modified so all the openings were covered with Industrial Netting so fish or other organisms would not get trapped inside.&nbsp; The treatments were cable tied to the outside of the crab trap. Each trap was made up of one of each treatment&nbsp;with the same density of rubble.&nbsp;In each of the three zones in the bay (ABE1, ABE2 and ABE3) we deployed 5 traps along a 15m rope. A week later we came to count the number of surviving oysters. We repeated this again in September 2019 and December 2019. &nbsp;&nbsp;</p>
Specified by the Principal Investigator(s)
<p><strong>BCO-DMO Processing Notes:</strong><br />
- data submitted in Excel file "Apalachicola_Data_2013-2019_ABP_4.xlsx" sheet "Juv.Expt.Recruitment" extracted to csv<br />
- modified parameter names to conform with BCO-DMO naming conventions<br />
- replaced all forms of 'NA' with 'nd' for no&nbsp;data<br />
- re-formatted date from m/d/yyyy to yyyy-mm-dd<br />
- changed commas in the notes column to semicolons<br />
- sorted columns:&nbsp;{reef_type}{estuary}{region}{distance}{date}{combined_round}</p>
<p>&nbsp;</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
YSI
YSI
PI Supplied Instrument Name: YSI PI Supplied Instrument Description:Used a YSI probe to get dissolved oxygen, temperature, salinity and pH at the surface and at the bottom. 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.