http://lod.bco-dmo.org/id/dataset/809321
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
2020-04-14
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Data from experiments testing the effects of hypoxia on behavior and physiology of two species of rockfish from from 2015-2016
2020-04-14
publication
2020-04-14
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2020-04-15
publication
https://doi.org/10.26008/1912/bco-dmo.809321.1
Scott Hamilton
Moss Landing Marine Laboratories
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: Hamilton, S. (2020) Data from experiments testing the effects of hypoxia on behavior and physiology of two species of rockfish from from 2015-2016. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-04-14 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.809321.1 [access date]
Data from experiments testing the effects of hypoxia on behavior and physiology of two species of rockfish Dataset Description: <p>Juvenile rockfishes were collected from shallow (~10-20 m depth) rocky reef and kelp forest habitats at Stillwater Cove, central California (36˚ 34' N, 121˚ 56' W) during May-June of 2015. Newly settled copper (Sebastes caurinus) and blue (Sebastes mystinus) rockfish were collected weekly using large mesh hand nets while SCUBA diving. Fishes were measured for length and weight and tagged using Visual Implant Elastomer Tags. Juvenile rockfishes were exposed to one of four treatment levels corresponding to conditions that currently occur or are predicted to occur in the future on the central California coast (Chan et al., 2008; Booth et al., 2012; Fig. 1): 100% saturation (8.74 ± 0.03 mg O2 L-1), 68% saturation (6.00 ± 0.04 mg O2 L-1), 46% saturation (4.06 ± 0.04 mg O2 L-1), or 26% saturation (2.25 ± 0.05 mg O2 L-1), with two replicate tanks per treatment level. Behavior and physiological trials were conducted on each individual, including (1) escape response, (2) behavioral lateralization, (3) standard metabolic rate, (4) maximum metabolic rate, (5) aerobic scope, (6) pCrit (i.e., hypoxia tolerance test), and (7) ventilation rate. These&nbsp;data are published in&nbsp;Mattiasen et al. (2020).</p> Methods and Sampling: <p><strong>Experimental design</strong><br />
Experiments subjecting juvenile rockfishes to simulated future DO levels were conducted at the seawater aquarium facility at the NOAA Southwest Fisheries Science Center laboratory in Santa Cruz, CA. Juvenile rockfishes were exposed to one of four treatment levels corresponding to conditions that currently occur or are predicted to occur in the future on the central California coast: 100% saturation (8.74 ± 0.03 mg O2 L-1), 68% saturation (6.00 ± 0.04 mg O2 L-1), 46% saturation (4.06 ± 0.04 mg O2 L-1), or 26% saturation (2.25 ± 0.05 mg O2 L-1), with two replicate tanks per treatment level. These levels were maintained for the duration of the experiment to simulate chronic exposure to prolonged hypoxia events and oxygen, pH, and temperature levels in all the treatment tanks were measured daily using a HACH HQ40D multiparameter meter. All experimental trials were conducted under constant temperature (12˚C) and pH (~8.05), with the same DO levels as the rearing tank of the fish being tested.</p>
<p>To manipulate oxygen levels, seawater was first pumped from offshore through a series of settling tanks and sand filters and held in a 2000 L reservoir tank maintained at a constant temperature (12˚C) with aquarium chillers and aerated to approximately 100% air saturation (~9.0 mg O2 L-1). This source water was fed into four 500 L treatment reservoirs, which were used to create desired DO concentrations by bubbling nitrogen (N2) gas to strip O2 from the water. Gas delivery was controlled by the program WitroxView via solenoid valves, and O2 levels were monitored using Loligo Systems optical oxygen probes. Manipulated (or control) water was delivered at a rate of 20 ml s-1 to 80 L experimental tanks in a single-pass, flow-through design.&nbsp;</p>
<p>Ten randomly assigned juvenile rockfish of each species were introduced into each of two replicate tanks for each treatment (20 fish per treatment per species). All tanks were covered to minimize visual disturbance from investigators. Sections of plastic construction fencing material measuring 90 x 120 cm were bunched together and placed in each tank to simulate kelp habitat structure. The two replicate tanks per treatment were fed on alternating days and used in experiments on non-feeding days, thereby ensuring a 36-48 hour fasting period prior to behavioral or physiological trials. Fishes were fed to satiation with frozen, high protein krill on feeding days. Prior to conducting any behavioral or physiological measurements, fish were allowed a minimum of 5 days to recover in their treatment tanks from any previous trial. See Table 1 of&nbsp;Mattiasen et al. (2020) for the schedule of the various experimental trials.</p>
<p><strong>Escape response</strong><br />
Escape response trials tested the time required for a fish to find the exit of an enclosed chamber (Jutfelt et al. 2013). Escape chambers were composed of a PVC tube measuring 28 cm tall x 9 cm diameter with a 5 cm diameter hole cut in the side. A slit located 8 cm from the top of the chamber allowed a black plexiglass divider to be inserted, retaining fish in the top half of the chamber during the acclimation period. Removal of the divider released the fish into the lower portion of the chamber at the start of the timed trial. Escape chambers were placed in 40 L insulated aquaria on a water table to control temperatures. A total of six replicated escape chambers and aquaria were used, allowing for six simultaneous trials. Individual fish were transferred into the top of the chamber and allowed a 15 min acclimation period. At the end of the acclimation period the divider was removed without visual interference by the investigator. Observers watched a mirror above the tanks and recorded the time at which each fish exited the chamber (defined as the time at which the head of the fish exited the chamber). Trials were terminated after 10 min regardless of whether the fish exited.</p>
<p><strong>Behavioral lateralization</strong><br />
Brain functional asymmetry and behavioral lateralization reflect the bias for left vs. right turning decisions in a detour test. To measure lateralization in response to DO treatment conditions, a detour test was employed with a double T-Maze (Domenici et al., 2007). Individual fish were transferred into one end of the two-way T-Maze (50 x 30 x 25 cm L x W x H aquaria), and allowed to acclimate for 3 minutes. The starting side was alternated for every trial to minimize the potential for side bias. After the acclimation period, the fish was gently coaxed to swim down the center channel (without touching the fish) using a long PVC bar, and when it reached a barrier at the end of the channel, the fish had to decide to turn right or left. The turn direction was recorded and the experiment was repeated 10 times, 5 times in each direction. Each trial took approximately 10 minutes to complete. Absolute lateralization (LA) was calculated as<br />
<br />
LA = (|# right turns – # left turns| )/(# right turns + # left turns) x 100<br />
<br />
as an index of non-directional turn bias. LA reflects whether turn bias exists at the population level, irrespective of direction. Relative lateralization (LR¬) was also calculated to determine whether the fish in a particular treatment exhibited turning bias for a particular direction (i.e., left or right preference). LR was calculated as<br />
<br />
LR = (# right turns – # left turns)/(# right turns + # left turns) x 100<br />
<br />
Positive values indicate a right turning bias, while negative values indicate a left turning bias.</p>
<p><strong>Critical oxygen tension (pCrit)</strong><br />
A subset of 8 individuals per species from each treatment was tested for hypoxia tolerance by estimating pCrit using an automated intermittent flow respirometry system (Loligo Systems). Fish were placed in sealed respirometry chambers overnight at their treatment oxygen levels to acclimate to the chambers. Subsequently, pCrit trials were initiated by raising the oxygen saturation of the reservoir to 70% air saturation and three MO2 measurement loops (5 min flush, 10 min wait, 5 min measurement) were recorded at each oxygen level. The DO level was then reduced in a step-wise fashion by 10% air saturation, through the addition of N2 gas until reaching 40% air saturation, below which oxygen saturation was reduced at 5% intervals until reaching 10% air saturation, at which point the trial was terminated. This approach allowed us to obtain a more precise measurement of pCrit and to reduce risk of inadvertent mortality.<br />
<br />
Oxygen consumption rate (MO2 in mg O2 kg-1 hr-1) was calculated using the following equation:<br />
<br />
MO2 = ∆PO2 V∝M-1 ∆t-1<br />
<br />
Where ∆PO2 is the change in water partial pressure of O2 (mmHg), ∆t is the elapsed time (h), V is the volume of the respirometer chamber minus the volume of the fish (cm3), M is the total mass of the animal (kg), and ∝ is the O2 solubility coefficient at the experimental temperature (Boutilier et al., 1988). The respirometry system was cleaned using dilute bleach after each trial to eliminate the influence of microbial respiration on subsequent trials. pCrit was calculated for each fish using the broken stick regression method (Toms and Lesperance, 2003) by computing the oxygen saturation level at which the metabolic rate began to decrease linearly with decreasing DO.</p>
<p><strong>Aerobic scope</strong><br />
Aerobic scope is the difference between the standard (or resting) metabolic rate (SMR) and the maximum metabolic rate (MMR). We measured the SMR on a subset of 8 fish per species per treatment using the intermittent flow respirometry system. Four individuals at a time were weighed and placed into separate respirometer chambers, with MO2 measurements taken over a 12 hr period overnight. SMR was measured during nighttime hours to capture the MO2 at the time where the fish were at their lowest metabolic activity levels. The lowest 10% of MO2 measurements per cycle, excluding outliers (values &gt; 2 standard deviations), were used to calculate the SMR of each individual fish (Clark et al., 2012). MMR was subsequently measured following swimming to exhaustion using a Loligo Systems 10 L swim flume (model #SW10100). Exhaustion was achieved by swimming the fish for 5 minutes at a velocity one-body length per second below the estimated average critical swimming speed of the group (N. Kashef, unpublished data). The fish were then quickly returned to the respirometry chambers and run for one measurement cycle to acquire MMR. Preliminary trials concluded that the highest MO2 values occurred directly following swimming to exhaustion. Aerobic scope was calculated by subtracting the SMR from the MMR.</p>
<p><strong>Ventilation rate</strong><br />
Ventilation rate was measured on a subset of 10 individuals per species per treatment using a specially designed array of 10 experimental chambers (5 x 15 cm, water depth 4 cm), each holding an individual fish. Each chamber received flow-through seawater of the appropriate rearing DO treatment and constant temperature (12˚C). Following a two-hour acclimation period, two GoPro HERO4 video cameras recorded each fish for 30 minutes. Ventilation rate was determined by counting the number of open/closing cycles of the gill operculum within a minute (i.e., ventilations per minute [VPM]). Average VPM for each fish was calculated for 3 randomly selected one-minute measurements.</p>
<p><strong>Problem report:</strong> Some individual fish were used in each of the behavioral and physiological trials, while other fish were only tested in a subset of the possible experimental trials. In addition, if any fish died in the course of the experiments, they were replaced by a new fish.</p>
Funding provided by NSF Emerging Frontiers Division (NSF EF) Award Number: EF-1416895 Award URL: http://www.nsf.gov/awardsearch/showAward?AWD_ID=1416895
completed
Scott Hamilton
Moss Landing Marine Laboratories
831-771-4497
8272 Moss Landing Rd.
Moss Landing
CA
95039
USA
shamilton@mlml.calstate.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Fish_ID
Species
Oxygen_treatment_mg_per_L
Tank_Replicate
Initial_Standard_Length_mm
Initial_Total_Length_mm
Initial_Weight_g
Date_entered_into_experimental_treatments
Date_at_end_of_experiment
Final_Standard_Length_mm
Final_Total_Length_mm
Final_Weight_g
Escape_Time_seconds
Relative_Lateralization_Score
Absolute_Lateralization_Score
Ventilation_rate_operculum_beats_per_minute
Standard_Metabolic_Rate_mg_O2_per_kg_per_hour
Maximum_Metabolic_Rate_mg_O2_per_kg_per_hour
Aerobic_Scope_mg_O2_per_kg_per_hour
Pcrit_pcnt_air_saturation
GoPro HERO4 video camera
Loligo Systems optical oxygen probes
large mesh hand nets
SCUBA
theme
None, User defined
individual
species
treatment
replicate
length
weight
date
time_elapsed
sample description
respiration rate
O2 consumption
O2 saturation
featureType
BCO-DMO Standard Parameters
Camera
Dissolved Oxygen Sensor
Aquarium
Aquarium chiller
Hand Net
Self-Contained Underwater Breathing Apparatus
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.
Science, Engineering and Education for Sustainability NSF-Wide Investment (SEES): Ocean Acidification (formerly CRI-OA)
https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503477
Science, Engineering and Education for Sustainability NSF-Wide Investment (SEES): Ocean Acidification (formerly CRI-OA)
NSF Climate Research Investment (CRI) activities that were initiated in 2010 are now included under Science, Engineering and Education for Sustainability NSF-Wide Investment (SEES). SEES is a portfolio of activities that highlights NSF's unique role in helping society address the challenge(s) of achieving sustainability. Detailed information about the SEES program is available from NSF (https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504707).
In recognition of the need for basic research concerning the nature, extent and impact of ocean acidification on oceanic environments in the past, present and future, the goal of the SEES: OA program is to understand (a) the chemistry and physical chemistry of ocean acidification; (b) how ocean acidification interacts with processes at the organismal level; and (c) how the earth system history informs our understanding of the effects of ocean acidification on the present day and future ocean.
Solicitations issued under this program:NSF 10-530, FY 2010-FY2011NSF 12-500, FY 2012NSF 12-600, FY 2013NSF 13-586, FY 2014
NSF 13-586 was the final solicitation that will be released for this program.
PI Meetings:1st U.S. Ocean Acidification PI Meeting(March 22-24, 2011, Woods Hole, MA)2nd U.S. Ocean Acidification PI Meeting(Sept. 18-20, 2013, Washington, DC)
3rd U.S. Ocean Acidification PI Meeting (June 9-11, 2015, Woods Hole, MA – Tentative)
NSF media releases for the Ocean Acidification Program:
Press Release 10-186 NSF Awards Grants to Study Effects of Ocean Acidification
Discovery Blue Mussels "Hang On" Along Rocky Shores: For How Long?
Discovery nsf.gov - National Science Foundation (NSF) Discoveries - Trouble in Paradise: Ocean Acidification This Way Comes - US National Science Foundation (NSF)
Press Release 12-179 nsf.gov - National Science Foundation (NSF) News - Ocean Acidification: Finding New Answers Through National Science Foundation Research Grants - US National Science Foundation (NSF)
Press Release 13-102 World Oceans Month Brings Mixed News for Oysters
Press Release 13-108 nsf.gov - National Science Foundation (NSF) News - Natural Underwater Springs Show How Coral Reefs Respond to Ocean Acidification - US National Science Foundation (NSF)
Press Release 13-148 Ocean acidification: Making new discoveries through National Science Foundation research grants
Press Release 13-148 - Video nsf.gov - News - Video - NSF Ocean Sciences Division Director David Conover answers questions about ocean acidification. - US National Science Foundation (NSF)
Press Release 14-010 nsf.gov - National Science Foundation (NSF) News - Palau's coral reefs surprisingly resistant to ocean acidification - US National Science Foundation (NSF)
Press Release 14-116 nsf.gov - National Science Foundation (NSF) News - Ocean Acidification: NSF awards $11.4 million in new grants to study effects on marine ecosystems - US National Science Foundation (NSF)
SEES-OA
largerWorkCitation
program
Collaborative Research: Ocean Acidification: RUI: Multiple Stressor Effects of Ocean Acidification and Hypoxia on Behavior, Physiology, and Gene Expression of Temperate Reef Fishes
https://www.bco-dmo.org/project/516018
Collaborative Research: Ocean Acidification: RUI: Multiple Stressor Effects of Ocean Acidification and Hypoxia on Behavior, Physiology, and Gene Expression of Temperate Reef Fishes
<p><em>NSF Award Abstract:</em><br />
For near shore marine species inhabiting upwelling ecosystems such as the California Current, climate change resulting from the anthropogenic release of CO2 into the atmosphere is likely to induce concurrent conditions of ocean acidification (OA) and hypoxia, which are exacerbated during periods of seasonal upwelling. Although marine fishes have generally been presumed to be tolerant of OA due to their competence in acid-base regulation, recent studies in tropical regions suggest that early life stages may be particularly sensitive to elevated levels of dissolved CO2 (which lowers seawater pH) by impairing respiration, acid-base regulation, and neurotransmitter function. Low levels of dissolved oxygen (DO), which occur during hypoxia, can likewise impact the behavior, physiology and survival of marine fishes. Few studies have addressed the potential interactive effects of a low pH, low DO environment. From molecular tools to whole animal physiology, this research will provide an in-depth examination of an inherently integrative process. The study will use a multiple stressor framework to address the potential threats posed by the independent and combined effects of OA and hypoxia on behavior, physiological capacity, and gene expression in temperate reef fishes. Because mortality in early life stages has important carryover effects, understanding the effects of these stressors is critical for predicting future climate change responses of global fish populations. Such information will lay the groundwork for further studies that address the synergistic effects of multiple stressors and the characteristics of California Current species that influence their ability to tolerate or adapt to changes in ocean chemistry in a rapidly changing climate.</p>
<p>The project goals are to use a combination of laboratory and field studies to examine ecologically and physiologically relevant responses of juvenile rockfish (genus Sebastes) to the independent and interactive effects of ocean acidification and hypoxia. Rockfish will be captured in the field and then reared in the lab at 4 different pCO2 levels and 4 different DO levels to simulate changes in environmental conditions. Response variables include: (1) measures of changes in olfactory capabilities, brain functional asymmetry and problem-solving ability and (2) effects on swimming capabilities, respiration, aerobic performance, and growth. In addition, we will use next generation transcriptome sequencing to examine genome-wide changes in gene expression and enzyme activity for Na+/K+ ATPase (NKA), citrate synthase (CS), and lactate dehydrogenase (LDH), as proxies for acid-base compensation and metabolic shifts between aerobic and anaerobic metabolism. Oceanographic sensors will be deployed in the field to determine the frequency and intensity of hypoxia and low pH events in near shore habitats in Northern and Central California. Adaptive sampling of juvenile rockfish will be used to evaluate gene expression and physiological responses in individuals exposed in situ to low pH and low DO events in the field. The effects of OA and hypoxia will be compared across rockfish species with different life histories (e.g. larval duration, timing of spawning, etc.) and collected from regions differing in exposure to low pH/low DO events to address the potential for local adaptation. The focus of this project is on responses of the early juvenile stage at the time of settlement, because this stage is exposed to near shore changes in ocean chemistry during a critical period where physiological stress and behavioral disruptions may have the strongest demographic effects due to increased risk of predation.</p>
OA Hypoxia Rockfish
largerWorkCitation
project
eng; USA
oceans
2015-07-29
2016-02-22
0
BCO-DMO catalogue of parameters from Data from experiments testing the effects of hypoxia on behavior and physiology of two species of rockfish from from 2015-2016
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/809359.rdf
Name: Fish_ID
Units: unitless
Description: Unique identifer
http://lod.bco-dmo.org/id/dataset-parameter/809360.rdf
Name: Species
Units: unitless
Description: Species used in the experiments
http://lod.bco-dmo.org/id/dataset-parameter/809361.rdf
Name: Oxygen_treatment_mg_per_L
Units: milligrams O2 per liter (mg/L)
Description: Experimental treatment condition
http://lod.bco-dmo.org/id/dataset-parameter/809362.rdf
Name: Tank_Replicate
Units: unitless
Description: Two replicate tanks (A and B) per treatment
http://lod.bco-dmo.org/id/dataset-parameter/809363.rdf
Name: Initial_Standard_Length_mm
Units: millimeters (mm)
Description: Initial length measured from tip of mouth to hypural bones
http://lod.bco-dmo.org/id/dataset-parameter/809364.rdf
Name: Initial_Total_Length_mm
Units: millimeters (mm)
Description: Initial length measured from tip of mouth to end of caudal fin
http://lod.bco-dmo.org/id/dataset-parameter/809365.rdf
Name: Initial_Weight_g
Units: grams (g)
Description: Initial weight
http://lod.bco-dmo.org/id/dataset-parameter/809366.rdf
Name: Date_entered_into_experimental_treatments
Units: unitless
Description: Date entered into experimental treatments; format: yyyy-mm-dd
http://lod.bco-dmo.org/id/dataset-parameter/809367.rdf
Name: Date_at_end_of_experiment
Units: unitless
Description: Date at end of experiment; format: yyyy-mm-dd
http://lod.bco-dmo.org/id/dataset-parameter/809368.rdf
Name: Final_Standard_Length_mm
Units: millimeters (mm)
Description: Final length measured from tip of mouth to hypural bones
http://lod.bco-dmo.org/id/dataset-parameter/809369.rdf
Name: Final_Total_Length_mm
Units: millimeters (mm)
Description: Final length measured from tip of mouth to end of caudal fin
http://lod.bco-dmo.org/id/dataset-parameter/809370.rdf
Name: Final_Weight_g
Units: grams (g)
Description: Final weight
http://lod.bco-dmo.org/id/dataset-parameter/809371.rdf
Name: Escape_Time_seconds
Units: seconds
Description: Time required for fish to exit the chamber
http://lod.bco-dmo.org/id/dataset-parameter/809372.rdf
Name: Relative_Lateralization_Score
Units: unitless (percent)
Description: Percent of time fish turned right (positive score) or left (negative score)
http://lod.bco-dmo.org/id/dataset-parameter/809373.rdf
Name: Absolute_Lateralization_Score
Units: unitless (percent)
Description: Percent of time fish showed a turn bias out of 10 trials
http://lod.bco-dmo.org/id/dataset-parameter/809374.rdf
Name: Ventilation_rate_operculum_beats_per_minute
Units: breaths per minute (BPM)
Description: Average number of breaths per minute
http://lod.bco-dmo.org/id/dataset-parameter/809375.rdf
Name: Standard_Metabolic_Rate_mg_O2_per_kg_per_hour
Units: milligrams O2 per kilogram per hour
Description: Oxygen consumption of fish at rest
http://lod.bco-dmo.org/id/dataset-parameter/809376.rdf
Name: Maximum_Metabolic_Rate_mg_O2_per_kg_per_hour
Units: milligrams O2 per kilogram per hour
Description: Oxygen consumption of fish after exercise
http://lod.bco-dmo.org/id/dataset-parameter/809377.rdf
Name: Aerobic_Scope_mg_O2_per_kg_per_hour
Units: milligrams O2 per kilogram per hour
Description: Difference between standard and maximum metabolic rate
http://lod.bco-dmo.org/id/dataset-parameter/809378.rdf
Name: Pcrit_pcnt_air_saturation
Units: unitless (percent)
Description: Measure of hypoxia tolerance as percent air saturation
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
20353
https://darchive.mblwhoilibrary.org/bitstream/1912/25643/1/dataset-809321_rockfish-hypoxia-experiments__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.809321.1
download
onLine
dataset
<p><strong>Experimental design</strong><br />
Experiments subjecting juvenile rockfishes to simulated future DO levels were conducted at the seawater aquarium facility at the NOAA Southwest Fisheries Science Center laboratory in Santa Cruz, CA. Juvenile rockfishes were exposed to one of four treatment levels corresponding to conditions that currently occur or are predicted to occur in the future on the central California coast: 100% saturation (8.74 ± 0.03 mg O2 L-1), 68% saturation (6.00 ± 0.04 mg O2 L-1), 46% saturation (4.06 ± 0.04 mg O2 L-1), or 26% saturation (2.25 ± 0.05 mg O2 L-1), with two replicate tanks per treatment level. These levels were maintained for the duration of the experiment to simulate chronic exposure to prolonged hypoxia events and oxygen, pH, and temperature levels in all the treatment tanks were measured daily using a HACH HQ40D multiparameter meter. All experimental trials were conducted under constant temperature (12˚C) and pH (~8.05), with the same DO levels as the rearing tank of the fish being tested.</p>
<p>To manipulate oxygen levels, seawater was first pumped from offshore through a series of settling tanks and sand filters and held in a 2000 L reservoir tank maintained at a constant temperature (12˚C) with aquarium chillers and aerated to approximately 100% air saturation (~9.0 mg O2 L-1). This source water was fed into four 500 L treatment reservoirs, which were used to create desired DO concentrations by bubbling nitrogen (N2) gas to strip O2 from the water. Gas delivery was controlled by the program WitroxView via solenoid valves, and O2 levels were monitored using Loligo Systems optical oxygen probes. Manipulated (or control) water was delivered at a rate of 20 ml s-1 to 80 L experimental tanks in a single-pass, flow-through design.&nbsp;</p>
<p>Ten randomly assigned juvenile rockfish of each species were introduced into each of two replicate tanks for each treatment (20 fish per treatment per species). All tanks were covered to minimize visual disturbance from investigators. Sections of plastic construction fencing material measuring 90 x 120 cm were bunched together and placed in each tank to simulate kelp habitat structure. The two replicate tanks per treatment were fed on alternating days and used in experiments on non-feeding days, thereby ensuring a 36-48 hour fasting period prior to behavioral or physiological trials. Fishes were fed to satiation with frozen, high protein krill on feeding days. Prior to conducting any behavioral or physiological measurements, fish were allowed a minimum of 5 days to recover in their treatment tanks from any previous trial. See Table 1 of&nbsp;Mattiasen et al. (2020) for the schedule of the various experimental trials.</p>
<p><strong>Escape response</strong><br />
Escape response trials tested the time required for a fish to find the exit of an enclosed chamber (Jutfelt et al. 2013). Escape chambers were composed of a PVC tube measuring 28 cm tall x 9 cm diameter with a 5 cm diameter hole cut in the side. A slit located 8 cm from the top of the chamber allowed a black plexiglass divider to be inserted, retaining fish in the top half of the chamber during the acclimation period. Removal of the divider released the fish into the lower portion of the chamber at the start of the timed trial. Escape chambers were placed in 40 L insulated aquaria on a water table to control temperatures. A total of six replicated escape chambers and aquaria were used, allowing for six simultaneous trials. Individual fish were transferred into the top of the chamber and allowed a 15 min acclimation period. At the end of the acclimation period the divider was removed without visual interference by the investigator. Observers watched a mirror above the tanks and recorded the time at which each fish exited the chamber (defined as the time at which the head of the fish exited the chamber). Trials were terminated after 10 min regardless of whether the fish exited.</p>
<p><strong>Behavioral lateralization</strong><br />
Brain functional asymmetry and behavioral lateralization reflect the bias for left vs. right turning decisions in a detour test. To measure lateralization in response to DO treatment conditions, a detour test was employed with a double T-Maze (Domenici et al., 2007). Individual fish were transferred into one end of the two-way T-Maze (50 x 30 x 25 cm L x W x H aquaria), and allowed to acclimate for 3 minutes. The starting side was alternated for every trial to minimize the potential for side bias. After the acclimation period, the fish was gently coaxed to swim down the center channel (without touching the fish) using a long PVC bar, and when it reached a barrier at the end of the channel, the fish had to decide to turn right or left. The turn direction was recorded and the experiment was repeated 10 times, 5 times in each direction. Each trial took approximately 10 minutes to complete. Absolute lateralization (LA) was calculated as<br />
<br />
LA = (|# right turns – # left turns| )/(# right turns + # left turns) x 100<br />
<br />
as an index of non-directional turn bias. LA reflects whether turn bias exists at the population level, irrespective of direction. Relative lateralization (LR¬) was also calculated to determine whether the fish in a particular treatment exhibited turning bias for a particular direction (i.e., left or right preference). LR was calculated as<br />
<br />
LR = (# right turns – # left turns)/(# right turns + # left turns) x 100<br />
<br />
Positive values indicate a right turning bias, while negative values indicate a left turning bias.</p>
<p><strong>Critical oxygen tension (pCrit)</strong><br />
A subset of 8 individuals per species from each treatment was tested for hypoxia tolerance by estimating pCrit using an automated intermittent flow respirometry system (Loligo Systems). Fish were placed in sealed respirometry chambers overnight at their treatment oxygen levels to acclimate to the chambers. Subsequently, pCrit trials were initiated by raising the oxygen saturation of the reservoir to 70% air saturation and three MO2 measurement loops (5 min flush, 10 min wait, 5 min measurement) were recorded at each oxygen level. The DO level was then reduced in a step-wise fashion by 10% air saturation, through the addition of N2 gas until reaching 40% air saturation, below which oxygen saturation was reduced at 5% intervals until reaching 10% air saturation, at which point the trial was terminated. This approach allowed us to obtain a more precise measurement of pCrit and to reduce risk of inadvertent mortality.<br />
<br />
Oxygen consumption rate (MO2 in mg O2 kg-1 hr-1) was calculated using the following equation:<br />
<br />
MO2 = ∆PO2 V∝M-1 ∆t-1<br />
<br />
Where ∆PO2 is the change in water partial pressure of O2 (mmHg), ∆t is the elapsed time (h), V is the volume of the respirometer chamber minus the volume of the fish (cm3), M is the total mass of the animal (kg), and ∝ is the O2 solubility coefficient at the experimental temperature (Boutilier et al., 1988). The respirometry system was cleaned using dilute bleach after each trial to eliminate the influence of microbial respiration on subsequent trials. pCrit was calculated for each fish using the broken stick regression method (Toms and Lesperance, 2003) by computing the oxygen saturation level at which the metabolic rate began to decrease linearly with decreasing DO.</p>
<p><strong>Aerobic scope</strong><br />
Aerobic scope is the difference between the standard (or resting) metabolic rate (SMR) and the maximum metabolic rate (MMR). We measured the SMR on a subset of 8 fish per species per treatment using the intermittent flow respirometry system. Four individuals at a time were weighed and placed into separate respirometer chambers, with MO2 measurements taken over a 12 hr period overnight. SMR was measured during nighttime hours to capture the MO2 at the time where the fish were at their lowest metabolic activity levels. The lowest 10% of MO2 measurements per cycle, excluding outliers (values &gt; 2 standard deviations), were used to calculate the SMR of each individual fish (Clark et al., 2012). MMR was subsequently measured following swimming to exhaustion using a Loligo Systems 10 L swim flume (model #SW10100). Exhaustion was achieved by swimming the fish for 5 minutes at a velocity one-body length per second below the estimated average critical swimming speed of the group (N. Kashef, unpublished data). The fish were then quickly returned to the respirometry chambers and run for one measurement cycle to acquire MMR. Preliminary trials concluded that the highest MO2 values occurred directly following swimming to exhaustion. Aerobic scope was calculated by subtracting the SMR from the MMR.</p>
<p><strong>Ventilation rate</strong><br />
Ventilation rate was measured on a subset of 10 individuals per species per treatment using a specially designed array of 10 experimental chambers (5 x 15 cm, water depth 4 cm), each holding an individual fish. Each chamber received flow-through seawater of the appropriate rearing DO treatment and constant temperature (12˚C). Following a two-hour acclimation period, two GoPro HERO4 video cameras recorded each fish for 30 minutes. Ventilation rate was determined by counting the number of open/closing cycles of the gill operculum within a minute (i.e., ventilations per minute [VPM]). Average VPM for each fish was calculated for 3 randomly selected one-minute measurements.</p>
<p><strong>Problem report:</strong> Some individual fish were used in each of the behavioral and physiological trials, while other fish were only tested in a subset of the possible experimental trials. In addition, if any fish died in the course of the experiments, they were replaced by a new fish.</p>
Specified by the Principal Investigator(s)
<p>Standard metabolic rate (SMR), maximum metabolic rate (MMR), and pCrit data were processed and summarized using the oxygen time series data from the intermittent flow respirometry system. To calculate SMR, MMR, and pCrit we used the software AutoResp produced by the company Loligo Systems. All other data sources (escape time, lateralization, ventilation rates, etc.) were summarized using spreadsheets of raw values in Microsoft Excel.</p>
Specified by the Principal Investigator(s)
asNeeded
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For questions regarding this resource, please contact BCO-DMO via the email address provided.
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GoPro HERO4 video camera
GoPro HERO4 video camera
PI Supplied Instrument Name: GoPro HERO4 video camera Instrument Name: Camera Instrument Short Name:camera Instrument Description: All types of photographic equipment including stills, video, film and digital systems. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/311/
Loligo Systems optical oxygen probes
Loligo Systems optical oxygen probes
PI Supplied Instrument Name: Loligo Systems optical oxygen probes Instrument Name: Dissolved Oxygen Sensor Instrument Short Name:Dissolved Oxygen Sensor Instrument Description: An electronic device that measures the proportion of oxygen (O2) in the gas or liquid being analyzed
PI Supplied Instrument Name: Instrument Name: Aquarium Instrument Short Name:Aquarium Instrument Description: Aquarium - a vivarium consisting of at least one transparent side in which water-dwelling plants or animals are kept
PI Supplied Instrument Name: Instrument Name: Aquarium chiller Instrument Short Name:Aquarium chiller Instrument Description: Immersible or in-line liquid cooling device, usually with temperature control.
large mesh hand nets
large mesh hand nets
PI Supplied Instrument Name: large mesh hand nets Instrument Name: Hand Net Instrument Short Name:Hand Net Instrument Description: A hand net (also called a scoop net or dip net) is a net or mesh basket held open by a hoop. They are used for scooping fish near the surface of the water.
SCUBA
SCUBA
PI Supplied Instrument Name: SCUBA Instrument Name: Self-Contained Underwater Breathing Apparatus Instrument Short Name:SCUBA Instrument Description: The self-contained underwater breathing apparatus or scuba diving system is the result of technological developments and innovations that began almost 300 years ago. Scuba diving is the most extensively used system for breathing underwater by recreational divers throughout the world and in various forms is also widely used to perform underwater work for military, scientific, and commercial purposes.
Reference: http://oceanexplorer.noaa.gov/technology/diving/diving.html