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[Article Dataset] Combined effects of microplastics and nitrogen on bivalve-mediated biogeochemical cycling.
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This dataset accompanies a study on how microplastics and excess nitrogen together affect biogeochemical processes mediated by the bivalve Macomona liliana. The mesocosm experiment measured nutrient fluxes, sediment properties, fatty acid profiles, and microbial indicators under control, microplastic, nitrogen, and combined-stressor conditions. The data provide resources for understanding how multiple environmental stressors interact to disrupt coastal sediment ecosystem functions.
This dataset accompanies the research article titled “Combined effects of microplastics and nitrogen on bivalve-mediated biogeochemical cycling.” It contains post-exposure metrics from a mesocosm experiment in which deep-dwelling bivalves (Macomona liliana) were exposed to control, microplastic, nitrogen, and multiple-stressor conditions. Measurements include ammonium and oxygen fluxes across the sediment–water interface; fatty acid profiles of bivalve tissue and surficial sediment; porewater ammonium concentrations; sediment loss on ignition; sediment porosity; and sediment chlorophyll-a concentrations. Visual indices of black sediment presence within the sediment column and visible microphytobenthos are also included. For detailed information on the methods used in sampling and analysis, please refer to the Methods section of the paper itself.
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[Article Dataset] Combined effects of microplastics and nitrogen on bivalve-mediated biogeochemical cycling.
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This dataset supports research examining the combined effects of microplastics and nitrogen enrichment on bivalve-mediated nutrient cycling in coastal sediments. Researchers collected measurements of ammonium and oxygen fluxes, sediment chemistry, fatty acid composition, and visual indicators from mesocosm experiments with the bivalve Macomona liliana. The dataset enables analysis of how co-occurring stressors alter the ecological functions that bivalves perform in marine sediment environments.
Combined effects of microplastics and nitrogen on bivalve‐mediated biogeochemical cycling
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Researchers investigated the combined effects of microplastic pollution and excess nitrogen on coastal sediment ecosystems mediated by bivalves. They found that when both stressors were present together, nitrogen processing responses changed in ways not seen with either stressor alone, and sediment health conditions worsened significantly. The study suggests that multiple environmental stressors can interact in unexpected ways that single-stressor studies would miss.
Impacts of microplastics and nitrogen on invertebrate-mediated biogeochemical cycling in estuarine ecosystems
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Researchers used estuarine mesocosms and field assays to show that microplastics and nitrogen enrichment interact in non-additive ways, altering bivalve-driven nutrient fluxes, degrading sediment redox conditions, and decoupling organic matter breakdown from the environmental factors that normally predict it.
[Article Dataset] A tale of two stressors: nitrogen, microplastics, and their influence on estuarine organic matter degradation
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This dataset accompanies an in-situ experiment examining how added microplastics and nitrogen — either alone or combined — affect the rate at which organic matter breaks down in estuarine sediments, across communities of different burrowing invertebrates. The data enables analysis of how two of the most widespread human-caused stressors interact at the base of coastal food webs, where organic matter recycling underpins the productivity of estuaries.
[Article Dataset] A tale of two stressors: nitrogen, microplastics, and their influence on estuarine organic matter degradation
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This dataset supports a study examining how microplastics and excess nitrogen interact to affect organic matter breakdown in estuarine sediments, using a 10-day field experiment across varied seafloor community types. The research matters because estuaries are critical carbon-cycling zones and understanding how combined pollution stressors alter that cycling helps predict broader ecosystem consequences.
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