Abstract

Understanding the interactive effects of multiple stressors on pelagic mollusks associated with global climate change is especially important in highly productive coastal ecosystems of the upwelling regime, such as the California Current System (CCS). Due to temporal overlap between a marine heatwave, an El Nino event, and springtime intensification of the upwelling, pteropods of the CCS were exposed to co-occurring increased temperature, low Ωar and pH, and deoxygenation. The variability in the natural gradients during NOAA’s WCOA 2016 cruise provided a unique opportunity for synoptic study of chemical and biological interactions. We investigated the effects of in situ multiple drivers and their interactions across cellular, physiological, and population levels. Oxidative stress biomarkers were used to assess pteropods’ cellular status and antioxidant defenses. Ocean acidification (OA) stress induced significant activation of oxidative stress biomarkers, as indicated by increased levels of lipid peroxidation (LPX), but the antioxidative activity defense might be insufficient against cellular stress. Thermal stress in combination with low Ωar additively increases the level of LPX toxicity, while food availability can mediate the negative effect. On the physiological level, we found synergistic interaction between low Ωar and deoxygenation and thermal stress (Ωar: T, O2:T). On the population level, temperature was the main driver of abundance distribution, with low Ωar being a strong driver of secondary importance. The additive effects of thermal stress and low Ωar on abundance suggest a negative effect of El Nino at the population level. Our study clearly demonstrates Ωar and temperature are master variables in explaining biological responses, cautioning the use of a single parameter in the statistical analyses. High quantities of polyunsaturated fatty acids are susceptible to oxidative stress because of lipid peroxidation, resulting in the loss of lipid reserves and structural damage to cell membranes, a potential mechanism explaining extreme pteropod sensitivity to OA. Accumulation of oxidative damage requires metabolic compensation, implying energetic trade-offs under combined thermal and OA stress. Oxidative stress biomarkers can be used as early-warning signal of multiple stressors on the cellular level, thereby providing important new insights into factors that set limits to species’ tolerance to in situ multiple drivers.

Highlights

  • The consequences of the release of anthropogenic CO2 emissions into the atmosphere result in increasing warming, ocean acidification, and deoxygenation in global ocean

  • Complete physical–chemical characterization of pteropod habitat was provided to link the environmental conditions with biological responses, including cellular, physiological, and pteropod population-level responses assessed through oxidative biomarkers, shell dissolution and growth, and abundance counts, respectively

  • Gradients Related to El Niño-Induced Thermal and Upwelling-Related Acidification Effects Define Pteropod Habitat

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Summary

Introduction

The consequences of the release of anthropogenic CO2 emissions into the atmosphere result in increasing warming, ocean acidification, and deoxygenation in global ocean. Physiological tolerances for temperature, pH, and dissolved oxygen define a natural envelope of suitable habitat within organismal tolerance limits. Or synergistically, once these drivers exceed the natural envelope of physiological tolerance, suitable habitat for some organisms becomes limiting, controlling the distribution and interaction among species, and overall ecosystem productivity. These combined impacts are dependent on how the effects of the drivers amplify (i.e., synergistic) or counter (i.e., antagonistic) one another. We refer to environmental drivers as stressors when they exceed physiological tolerance limits and result in negative biological impacts leading to non-linear outcomes, such that the combined effects can be more severe than expected. As demonstrated for a wide range of ecosystems, non-linear relationships between environmental variables can result in a loss of ecosystem services and reduction in biodiversity (Kelly et al, 2015)

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