Climate models that do not account for anaerobic microbial activity may underestimate future expansion of oxygen-depleted waters.
Research Spotlights
Research spotlights are plain-language summaries of recent articles published in AGU’s suite of 24 journals.
Posted inResearch Spotlights
Investigating Rates of Microbial Methane Munching in the Ocean
Analyses of microbial activity in seawater samples help clarify the fate of methane released from the seafloor.
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Fault Dips Figured in Kīlauea’s Caldera Collapse
Large-volume volcanic eruptions can create instabilities in the ground above magma chambers, leading to massive collapses and telltale calderas.
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Stored Nutrients and Climate Warming Will Feed More Algal Blooms
High nutrient concentrations cause water quality problems in lakes, and as the climate warms, these issues will only get worse. A new model assesses future scenarios and explores solutions.
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Observational Data Validate Models of Sun’s Influence on Earth
Using a combination of independent models and observations over multiple timescales, scientists verify two important models that gauge the amount of solar radiation Earth receives.
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Reconstructing 150 Million Years of Arctic Ocean Climate
A new summary of past Arctic climate conditions gives insight into anthropogenic influences on today’s climate and on the need for future drilling studies to further improve our understanding of the past.
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Timing Matters for Rockfall Estimates
Researchers studying an eroding coastal cliff detected 10 times more rockfall events when monitoring surveys were conducted hourly versus monthly.
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Improving Estimates of Coastal Carbon Sequestration
A new two-model approach could reduce uncertainties in calculated rates of “blue carbon” accumulation within soils of seagrass, tidal marsh, and mangrove habitats.
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Sea Level Science Grapples with Uncertainty and Usability
Improved transdisciplinary approaches are needed to ensure that research on rising seas is useful for planning in coastal communities.
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Forecasting Volcanic Eruptions with Artificial Intelligence
A machine learning algorithm automatically detects telltale signs of volcanic unrest.