scholarly journals Parasitic infection: a buffer against ocean acidification?

2016 ◽  
Vol 12 (5) ◽  
pp. 20160007 ◽  
Author(s):  
Colin D. MacLeod ◽  
Robert Poulin
Keyword(s):  
Ocean Acidification ◽  
Research Effort ◽  
Marine Ecosystem ◽  
Parasitic Infection ◽  
Biotic Interactions ◽  
Marine Species ◽  
Marine Organisms ◽  
Abiotic Stressors ◽  
Host Mortality ◽  
Important Confounding Factor

Recently, there has been a concerted research effort by marine scientists to quantify the sensitivity of marine organisms to ocean acidification (OA). Empirical data generated by this research have been used to predict changes to marine ecosystem health, biodiversity and productivity that will be caused by continued acidification. These studies have also found that the effects of OA on marine organisms can be significantly modified by additional abiotic stressors (e.g. temperature or oxygen) and biotic interactions (e.g. competition or predation). To date, however, the effects of parasitic infection on the sensitivity of marine organisms to OA have been largely ignored. We show that parasitic infection significantly altered the response of a marine gastropod to simulated OA conditions by reducing the mortality of infected individuals relative to uninfected conspecifics. Without the inclusion of infection data, our analysis would not have detected the significant effect of pH on host mortality. These results strongly suggest that parasitic infection may be an important confounding factor in OA research and must be taken into consideration when assessing the response of marine species to OA.

scholarly journals The challenges of detecting and attributing ocean acidification impacts on marine ecosystems

2020 ◽  
Author(s):  
Steve S Doo ◽  
Andrea Kealoha ◽  
Andreas Andersson ◽  
Anne L Cohen ◽  
Tacey L Hicks ◽  
...  
Keyword(s):  
Ocean Acidification ◽  
Industrial Revolution ◽  
Environmental Changes ◽  
Marine Ecosystem ◽  
Population Level ◽  
Marine Species ◽  
Marine Ecosystems ◽  
Marine Organisms ◽  
Comparative Approach ◽  
Natural Environments

Abstract A substantial body of research now exists demonstrating sensitivities of marine organisms to ocean acidification (OA) in laboratory settings. However, corresponding in situ observations of marine species or ecosystem changes that can be unequivocally attributed to anthropogenic OA are limited. Challenges remain in detecting and attributing OA effects in nature, in part because multiple environmental changes are co-occurring with OA, all of which have the potential to influence marine ecosystem responses. Furthermore, the change in ocean pH since the industrial revolution is small relative to the natural variability within many systems, making it difficult to detect, and in some cases, has yet to cross physiological thresholds. The small number of studies that clearly document OA impacts in nature cannot be interpreted as a lack of larger-scale attributable impacts at the present time or in the future but highlights the need for innovative research approaches and analyses. We summarize the general findings in four relatively well-studied marine groups (seagrasses, pteropods, oysters, and coral reefs) and integrate overarching themes to highlight the challenges involved in detecting and attributing the effects of OA in natural environments. We then discuss four potential strategies to better evaluate and attribute OA impacts on species and ecosystems. First, we highlight the need for work quantifying the anthropogenic input of CO2 in coastal and open-ocean waters to understand how this increase in CO2 interacts with other physical and chemical factors to drive organismal conditions. Second, understanding OA-induced changes in population-level demography, potentially increased sensitivities in certain life stages, and how these effects scale to ecosystem-level processes (e.g. community metabolism) will improve our ability to attribute impacts to OA among co-varying parameters. Third, there is a great need to understand the potential modulation of OA impacts through the interplay of ecology and evolution (eco–evo dynamics). Lastly, further research efforts designed to detect, quantify, and project the effects of OA on marine organisms and ecosystems utilizing a comparative approach with long-term data sets will also provide critical information for informing the management of marine ecosystems.

Parasitic infection alters the physiological response of a marine gastropod to ocean acidification

Parasitology ◽  
2016 ◽  
Vol 143 (11) ◽  
pp. 1397-1408 ◽  
Author(s):  
C. D. MACLEOD ◽  
R. POULIN
Keyword(s):  
Oxygen Consumption ◽  
Ocean Acidification ◽  
Parasitic Infection ◽  
Marine Organisms ◽  
Ion Concentration ◽  
Metabolic Effects ◽  
Control Group ◽  
Glucose Content ◽  
Hydrogen Ion Concentration ◽  
Consumption Rates

SUMMARYIncreased hydrogen ion concentration and decreased carbonate ion concentration in seawater are the most physiologically relevant consequences of ocean acidification (OA). Changes to either chemical species may increase the metabolic cost of physiological processes in marine organisms, and reduce the energy available for growth, reproduction and survival. Parasitic infection also increases the energetic demands experienced by marine organisms, and may reduce host tolerance to stressors associated with OA. This study assessed the combined metabolic effects of parasitic infection and OA on an intertidal gastropod,Zeacumantus subcarinatus. Oxygen consumption rates and tissue glucose content were recorded in snails infected with one of three trematode parasites, and an uninfected control group, maintained in acidified (7·6 and 7·4 pH) or unmodified (8·1 pH) seawater. Exposure to acidified seawater significantly altered the oxygen consumption rates and tissue glucose content of infected and uninfected snails, and there were clear differences in the magnitude of these changes between snails infected with different species of trematode. These results indicate that the combined effects of OA and parasitic infection significantly alter the energy requirements ofZ. subcarinatus, and that the species of the infecting parasite may play an important role in determining the tolerance of marine gastropods to OA.

scholarly journals Experimental assessments of marine species sensitivities to ocean acidification and co-stressors: how far have we come?

2019 ◽  
Vol 97 (5) ◽  
pp. 399-408 ◽  
Author(s):  
Hannes Baumann
Keyword(s):  
Ocean Acidification ◽  
Species Interactions ◽  
Molecular Mechanisms ◽  
Experimental Studies ◽  
Intraspecific Variability ◽  
Marine Species ◽  
Marine Organisms ◽  
Single Experiment ◽  
Experimental Approaches ◽  
Marine Climate

Experimental studies assessing the potential impacts of ocean acidification on marine organisms have rapidly expanded and produced a wealth of empirical data over the past decade. This perspective examines four key areas of transformative developments in experimental approaches: (1) methodological advances; (2) advances in elucidating physiological and molecular mechanisms behind observed CO2effects; (3) recognition of short-term CO2variability as a likely modifier of species sensitivities (Ocean Variability Hypothesis); and (4) consensus on the multistressor nature of marine climate change where effect interactions are still challenging to anticipate. No single experiment allows predicting the fate of future populations. But sustaining the accumulation of empirical evidence is critical for more robust estimates of species reaction norms and thus for enabling better modeling approaches. Moreover, advanced experimental approaches are needed to address knowledge gaps including changes in species interactions and intraspecific variability in sensitivity and its importance for the adaptation potential of marine organisms to a high CO2world.

Ocean Acidification and Coastal Marine Invertebrates: Tracking CO2 Effects from Seawater to the Cell

2020 ◽  
Vol 12 (1) ◽  
pp. 499-523 ◽  
Author(s):  
Frank Melzner ◽  
Felix C. Mark ◽  
Brad A. Seibel ◽  
Lars Tomanek
Keyword(s):  
Ocean Acidification ◽  
Marine Invertebrates ◽  
Research Effort ◽  
Marine Species ◽  
Coastal Environment ◽  
Physiological Mechanisms ◽  
Carbonate System ◽  
Coastal Marine ◽  
Significant Research ◽  
Cellular Phenotypes

In the last few decades, numerous studies have investigated the impacts of simulated ocean acidification on marine species and communities, particularly those inhabiting dynamic coastal systems. Despite these research efforts, there are many gaps in our understanding, particularly with respect to physiological mechanisms that lead to pathologies. In this review, we trace how carbonate system disturbances propagate from the coastal environment into marine invertebrates and highlight mechanistic links between these disturbances and organism function. We also point toward several processes related to basic invertebrate biology that are severely understudied and prevent an accurate understanding of how carbonate system dynamics influence organismic homeostasis and fitness-related traits. We recommend that significant research effort be directed to studying cellular phenotypes of invertebrates acclimated or adapted to elevated seawater pCO2 using biochemical and physiological methods.

Effect of caffeine on the growth and photosynthetic efficiency of marine macroalgae

2021 ◽  
Vol 64 (1) ◽  
pp. 13-18
Author(s):  
Ira Gray ◽  
Lindsay A. Green-Gavrielidis ◽  
Carol Thornber
Keyword(s):  
Growth Rate ◽  
Photosynthetic Efficiency ◽  
Sublethal Effects ◽  
Marine Species ◽  
Marine Organisms ◽  
Marine Macroalgae ◽  
Chondrus Crispus ◽  
Coastal Environments ◽  
Codium Fragile ◽  
High Concentrations

Abstract Caffeine is present in coastal environments worldwide and there is a need to assess its impact on marine organisms. Here, we exposed two species of ecologically important marine macroalgae (Chondrus crispus and Codium fragile subsp. fragile) to a suite of caffeine concentrations and measured their response. Caffeine concentrations of 10–100 ng L−1 had no significant effect on the growth rate or photosynthetic efficiency of either algae. Extremely high concentrations (100–200 mg L−1), which may occur acutely, produced sublethal effects for both species and mortality in C. fragile subsp. fragile. Our results highlight the need to understand how caffeine impacts marine species.

scholarly journals Autonomous Marine Robot Based on AI Recognition for Permanent Surveillance in Marine Protected Areas

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2664
Author(s):  
J. Carlos Molina-Molina ◽  
Marouane Salhaoui ◽  
Antonio Guerrero-González ◽  
Mounir Arioua
Keyword(s):  
Protected Areas ◽  
Marine Protected Areas ◽  
Recognition Accuracy ◽  
Marine Ecosystem ◽  
Marine Species ◽  
Base Station ◽  
Autonomous Surface Vehicle ◽  
Current Scenario ◽  
Illegal Activities ◽  
Marine Areas

The world’s oceans are one of the most valuable sources of biodiversity and resources on the planet, although there are areas where the marine ecosystem is threatened by human activities. Marine protected areas (MPAs) are distinctive spaces protected by law due to their unique characteristics, such as being the habitat of endangered marine species. Even with this protection, there are still illegal activities such as poaching or anchoring that threaten the survival of different marine species. In this context, we propose an autonomous surface vehicle (ASV) model system for the surveillance of marine areas by detecting and recognizing vessels through artificial intelligence (AI)-based image recognition services, in search of those carrying out illegal activities. Cloud and edge AI computing technologies were used for computer vision. These technologies have proven to be accurate and reliable in detecting shapes and objects for which they have been trained. Azure edge and cloud vision services offer the best option in terms of accuracy for this task. Due to the lack of 4G and 5G coverage in offshore marine environments, it is necessary to use radio links with a coastal base station to ensure communications, which may result in a high response time due to the high latency involved. The analysis of on-board images may not be sufficiently accurate; therefore, we proposed a smart algorithm for autonomy optimization by selecting the proper AI technology according to the current scenario (SAAO) capable of selecting the best AI source for the current scenario in real time, according to the required recognition accuracy or low latency. The SAAO optimizes the execution, efficiency, risk reduction, and results of each stage of the surveillance mission, taking appropriate decisions by selecting either cloud or edge vision models without human intervention.

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