Contributors | Affiliation | Role |
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Arellano, Shawn M. | Western Washington University (WWU) | Principal Investigator |
Olson, M Brady | Western Washington University (WWU) | Co-Principal Investigator |
Yang, Sylvia | Western Washington University (WWU) | Co-Principal Investigator |
Copley, Nancy | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Oyster larvae vertical distribution data collected from a laboratory water column experiments to investigate the behavioral effects of ocean acidification on Olympia oyster larvae (Ostrea lurida), July 2017.
Collection & Larval Rearing
We collected adult Olympia oysters (Ostrea lurida) from Fidalgo Bay in June 2017 and maintained them in a sea table with continuous flowing seawater heated to 19-20°C at the Shannon Point Marine Center. We fed adult oysters were fed concentrated algae once a day (Shellfish Diet, Reed Mariculture) and utilized banjo-style filters (60-m) attached to the outflow pipes of the sea table to catch released O. lurida larvae. We then collected and reared larvae at 12°C in 3-L jars (2 individuals mL-1). Each jar of larvae received a 50% water change with 0.35-m filtered sea water and were fed Isochrysis galbana algae (50,000 cells mL-1) daily.
Experimental Design
To measure the effect of pH conditions on the vertical distribution of larvae we established three experimental pycnocline treatments within clear plexiglass water columns (2.5cm x 2.5cm x 30cm): (1) ambient water (400ppm) in the top layer and acidic water in the bottom layer (1500ppm), (2) ambient water (400ppm) in both top and bottom layers, and (3) acidic water (1500ppm) in the top layer and ambient water (400ppm) in the bottom layer. Each water layer was 60-mL of water and filled the column 10-cm high, so when each experimental treatment was established it filled the column to 20-cm. We established the experimental treatments by increasing the density of seawater in the bottom layer by 0.003-0.005 g ml-1 using PercollTM GE Healthcare (Podolsky & Emlet 1993). Experimental treatment water was kept at 12°C and pre-equilibrated to the desired pCO2 level and density. We also included blue food coloring (1 drop per 100-mL) to the dense bottom layer to more easily visualize the density layers while establishing experimental treatments. We set-up four replicate columns for each experimental treatment making twelve columns total per experiment.
On the day of each experiment, we incubated the experimental treatment columns in clear plexiglass water baths connected to a Fisher Scientific Isotemp recirculating water bath to maintain treatment temperature at 12°C throughout the experiment. We carefully injected 150 larvae by syringe into the bottom 2-cm of each column with no more than 2-mL of their culture water. Olympia oyster larvae are highly phototactic (personal observations), so larvae were kept in the dark and we video recorded their vertical positions under infrared light two times: the first time at 10 minutes of acclimation in the columns and the second time at 30 minutes of acclimation in the columns. To record, we used an infrared uEye camera equipped with Edmund Optics VIS-NIR Lens mounted on a motorized stand. We later counted by eye the number of larvae per centimeter area of each column from the videos.
BCO-DMO Processing Notes:
- added conventional header with dataset name, PI name, version date
- modified parameter names to conform with BCO-DMO naming conventions
- reformatted date from m/d/yy to yyyy-mm-dd
- reduced precision of proportion_larvae from 9 to 3 decimal places
File |
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Ostrea_Beh_OA_Expt2017.csv (Comma Separated Values (.csv), 24.19 KB) MD5:8e9b36b2b220cf2c257fb9637b020c20 Primary data file for dataset ID 753058 |
Parameter | Description | Units |
trial | Trial number | unitless |
date | Date of trial formatted as yyyy-mm-dd | unitless |
column_name | Identifies the experimental water column treatment and replicate: AN-# = Acidic water at the top and Neutral water at the bottom ; NN-# = Neutral water at the top and Neutral water at the bottom; NA-# = Neutral water at the top and Acid water at the bottom. Acidic water was bubbled to be 400 pCO2 and neutral (ambient) water was bubbled to be 1500 pCO2 | unitless |
count_id | Identifies the count number (1 or 2) per experimental date. The vertical positions of larvae in the columns were counted twice for each experiment; the first count at 10 minutes post-larval introduction into the column and the second count at 30 minutes post-larval introduction into the column. | unitless |
height_cm | The height above the bottom of the water column where larvae were counted | centimeters (cm) |
middepth_cm | The middepth of the section of the water column in which larvae were counted | centimeters (cm) |
larvae_count | The number of Olympia oyster larvae occupying that area of the water column during the count | larvae |
proportion_larvae | Proportion of total Olympia oyster larvae occupying that area of the water column during the count | unitless |
Dataset-specific Instrument Name | uEye video camera |
Generic Instrument Name | Camera |
Dataset-specific Description | uEye camera equipped with Edmund Optics VIS-NIR Lens mounted on a motorized stand |
Generic Instrument Description | All types of photographic equipment including stills, video, film and digital systems. |
Dataset-specific Instrument Name | Fisher Scientific Isotemp Circulating Water Bath |
Generic Instrument Name | In-situ incubator |
Dataset-specific Description | Used to maintain treatment temperature during experiment |
Generic Instrument Description | A device on a ship or in the laboratory that holds water samples under controlled conditions of temperature and possibly illumination. |
In the face of climate change, future distribution of animals will depend not only on whether they adjust to new conditions in their current habitat, but also on whether a species can spread to suitable locations in a changing habitat landscape. In the ocean, where most species have tiny drifting larval stages, dispersal between habitats is impacted by more than just ocean currents alone; the swimming behavior of larvae, the flow environment the larvae encounter, and the length of time the larvae spend in the water column all interact to impact the distance and direction of larval dispersal. The effects of climate change, especially ocean acidification, are already evident in shellfish species along the Pacific coast, where hatchery managers have noticed shellfish cultures with 'lazy larvae syndrome.' Under conditions of increased acidification, these 'lazy larvae' simply stop swimming; yet, larval swimming behavior is rarely incorporated into studies of ocean acidification. Furthermore, how ocean warming interacts with the effects of acidification on larvae and their swimming behaviors remains unexplored; indeed, warming could reverse 'lazy larvae syndrome.' This project uses a combination of manipulative laboratory experiments, computer modeling, and a real case study to examine whether the impacts of ocean warming and acidification on individual larvae may affect the distribution and restoration of populations of native oysters in the Salish Sea. The project will tightly couple research with undergraduate education at Western Washington University, a primarily undergraduate university, by employing student researchers, incorporating materials into undergraduate courses, and pairing marine science student interns with art student interns to develop art projects aimed at communicating the effects of climate change to public audiences
As studies of the effects of climate stress in the marine environment progress, impacts on individual-level performance must be placed in a larger ecological context. While future climate-induced circulation changes certainly will affect larval dispersal, the effects of climate-change stressors on individual larval traits alone may have equally important impacts, significantly altering larval transport and, ultimately, species distribution. This study will experimentally examine the relationship between combined climate stressors (warming and acidification) on planktonic larval duration, morphology, and swimming behavior; create models to generate testable hypotheses about the effects of these factors on larval dispersal that can be applied across systems; and, finally, use a bio-physically coupled larval transport model to examine whether climate-impacted larvae may affect the distribution and restoration of populations of native oysters in the Salish Sea.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |