Contributors | Affiliation | Role |
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Kroeker, Kristy J. | University of California-Santa Cruz (UCSC) | Principal Investigator |
Newman, Sawyer | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Data have been published “as is”. Final review by the data submitter was not received after it was imported into the BCO-DMO data system.
Methodology:
Sampling and analytical procedures:
To determine the effect of current and future seasonal differences in carbonate chemistry on abalone bioenergetics, we exposed juvenile, non-reproductive (36 ± 5 mm) H. kamschatkana to three pH/pCO2 levels (i.e., pHT 8.1, 7.8, 7.5) for four months in a flow-through system at the Sitka Sound Science Center (SSSC) from June-October 2017. We focused on abalone that were close to transitioning to reproductive maturity (~50 mm; Busch et al., 2014 and references therein) so that we could best capture energetic trade-offs during an energetically costly life history period. The four-month long exposure to stable pH conditions was meant to capture seasonal exposures to relatively constant carbonate chemistry conditions during summer and winter that was demonstrated by our environmental monitoring. The pH values were chosen to capture the current seasonal fluctuations in Sitka Sound (7.8-8.2 pHT for winter-summer, respectively) as well as future projections for winter based on RCP 8.5 (i.e., 7.8 – 0.3 = 7.5 pHT; (Mathis et al., 2015)). The temperature and salinity were not manipulated and reflected the seasonal conditions in Sitka Sound from June-October.
At the end of the experiment, we measured the respiration rate and wet weight for the individual abalone. Prior to respirometry measurements, we starved the individuals for two days. We then estimated standard metabolic rate by measuring O2 consumption in a continuously mixed airtight container using fiber optic O2 sensors (Fibox IV, Presens). Respirometry trials were conducted in 130mL glass jars sealed with Plexiglas lids attached with vacuum grease. Each jar was fitted with a self-adhesive oxygen sensor spot (PreSens SP-PSt4-SA), which underwent a daily two-point calibration (air-saturated water for 100% saturation; 0.05% Co(NO3)2 standard solution, 1% Na2SO3 for 0% saturation). Individuals were placed in a jar and submerged in a temperature-controlled water bath. Water inside of the chambers was circulated with a magnetic stirrer, and jars were placed on top of a submersible magnetic stir plate within the water bath. Respirometry trials lasted approximately 15 minutes, and the final mean dissolved oxygen saturation was 85% (+/- 8% SD), suggesting the abalone were not stressed by the oxygen levels experienced during the trials. Oxygen concentration measurements were first converted into moles of oxygen using respirometry vial volume. Then, the rate of oxygen depletion was calculated via linear regression.
Processing notes from researcher:
Variation in consumption rates was assessed using linear mixed effects models in R.
BCO-DMO processing notes:
DO field rounded to 3 digits after the decimal point.
File |
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abalone_respirometry_data_for_bco-dmo.csv (Comma Separated Values (.csv), 8.78 KB) MD5:23a42b206181539830150dc1ad8f0983 Primary data file for dataset ID 856199 |
Parameter | Description | Units |
pH | Categorical variable; pH treatments in experimentation. FW = 7.5; CS = 8.1; CW = 7.8 | unitless |
Vial | Vial used for respirometry | unitless |
CritterID | Individual abalone ID as well as controls without abalone ("CONT#") | unitless |
Diet | Categorical variable; Macrocystis vs mixed algal diet in experiment. ALL = all Macrocystis; MIX = mixed algal diet; CONT = controls containing no abalone | unitless |
TIME | Time at which dissolved oxygen was recorded | unitless |
DO | Dissolved oxygen | milligram per liter (mg/L) |
TEMP | Temperature during respirometry | degrees Celsius |
Dataset-specific Instrument Name | PreSens SP-PSt4-SA |
Generic Instrument Name | Oxygen Sensor |
Dataset-specific Description | Self-adhesive oxygen sensor spot. Oxygen is measured contactless and non-destructively from the outside, through the vessel wall. |
Generic Instrument Description | An electronic device that measures the proportion of oxygen (O2) in the gas or liquid being analyzed |
Dataset-specific Instrument Name | Presens Fibox IV |
Generic Instrument Name | Oxygen Sensor |
Dataset-specific Description | A stand-alone fiber optic oxygen meter. |
Generic Instrument Description | An electronic device that measures the proportion of oxygen (O2) in the gas or liquid being analyzed |
NSF Award Abstract:
High latitude kelp forests support a wealth of ecologically and economically important species, buffer coastlines from high-energy storms, and play a critical role in the marine carbon cycle by sequestering and storing large amounts of carbon. Understanding how energy fluxes and consumer-resource interactions vary in these kelp communities is critical for defining robust management strategies that help maintain these valuable ecosystem services. In this integrated research and education program, the project team will investigate how consumer populations respond to variability in temperature, carbonate chemistry and resource quality to influence the food webs and ecosystem stability of kelp forests. A comprehensive suite of studies conducted at the northern range limit for giant kelp (Macrocystis pyrifera) in SE Alaska will examine how kelp communities respond to variable environmental conditions arising from seasonal variability and changing ocean temperature and acidification conditions. As part of this project, undergraduate and high school students will receive comprehensive training through (1) an immersive field-based class in Sitka Sound, Alaska, (2) intensive, mentored research internships, and (3) experiential training in science communication and public outreach that will include a variety of opportunities to disseminate research findings through podcasts, public lectures and radio broadcasts.
Consumer-resource interactions structure food webs and govern ecosystem stability, yet our understanding of how these important interactions may change under future climatic conditions is hampered by the complexity of direct and indirect effects of multiple stressors within and between trophic levels. For example, environmentally mediated changes in nutritional quality and chemical deterrence of primary producers have the potential to alter herbivory rates and energy fluxes between primary producers and consumers, with implications for ecosystem stability. Moreover, the effects of global change on primary producers are likely to depend on other limiting resources, such as light and nutrients, which vary seasonally in dynamic, temperate and high latitude ecosystems. In marine ecosystems at high latitude, climate models predict that ocean acidification will be most pronounced during the winter months, when primary production is limited by light. This project is built around the hypothesis that there could be a mismatch in the energetic demands of primary consumers caused by warming and ocean acidification and resource availability and quality during winter months, with cascading effects on trophic structure and ecosystem stability in the future. Through complementary lab and field experiments, the project team will determine 1) how temperature and carbonate chemistry combine to affect primary consumer bioenergetics across a diversity of species and 2) the indirect effects of ocean acidification and warming on primary consumers via environmentally mediated changes in the availability, nutritional quality and palatability of primary producers across seasons. Using the data from the laboratory and field experiments, the project team will 3) construct a model of the emergent effects of warming and ocean acidification on trophic structure and ecosystem stability in seasonally dynamic, high latitude environments.
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.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |