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  • 2020-2024  (1)
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  • 1
    Publication Date: 2024-03-15
    Description: Despite a growing interest in identifying tipping points in response to environmental change, our understanding of the ecological mechanisms underlying non-linear ecosystem dynamics is limited. Ecosystems governed by strong species interactions can provide important insight into how non-linear relationships between organisms and their environment propagate through ecosystems, and the potential for environmentally mediated species interactions to drive or protect against sudden ecosystem shifts. Here, we experimentally determine the functional relationships (i.e., the shapes of the relationships between predictor and response variables) of a seagrass assemblage with well-defined species interactions to ocean acidification (enrichment of CO2) in isolation and in combination with nutrient loading. We demonstrate that the effect of ocean acidification on grazer biomass (Phyllaplysia taylori and Idotea resecata) was quadratic, with the peak of grazer biomass at mid-pH levels. Algal grazing was negatively affected by nutrients, potentially due to low grazer affinity for macroalgae (Ulva intestinalis), as recruitment of both macroalgae and diatoms were favored in elevated nutrient conditions. This led to an exponential increase in macroalgal and epiphyte biomass with ocean acidification, regardless of nutrient concentration. When left unchecked algae can cause declines in seagrass productivity and persistence through shading and competition. Despite quadratic and exponential functional relationships to stressors that could cause a non-linear decrease in seagrass biomass, productivity of our model seagrass – the eelgrass (Zostera marina)- remained highly resilient to increasing acidification. These results suggest that important species interactions governing ecosystem dynamics may shift with environmental change, and ecosystem state may be decoupled from ecological responses at lower levels of organization.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Arthropoda; Behaviour; Benthic animals; Benthos; Bicarbonate ion; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chlorophyta; Coast and continental shelf; Containers and aquaria (20-1000 L or 〈 1 m**2); Entire community; Epiphytes, load; Experiment duration; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Grazing rate, mass epiphyte per mass grazer; Growth/Morphology; Idotea resecata; Laboratory experiment; Length; Macroalgae; Macro-nutrients; Mass; Mass change; Mollusca; Mortality; Mortality/Survival; Nitrate; Nitrate, standard deviation; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Phosphate; Phosphate, standard deviation; Phyllaplysia taylori; Plantae; Recruitment; Replicate; Rhizome elongation; Salinity; Salinity, standard deviation; Seagrass; Soft-bottom community; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Species interaction; Spectrophotometric; Temperate; Temperature, water; Temperature, water, standard deviation; Tracheophyta; Treatment; Treatment: pH; Type of study; Ulva intestinalis; Zostera marina
    Type: Dataset
    Format: text/tab-separated-values, 13135 data points
    Location Call Number Limitation Availability
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