The statistical method used to predict AMOC collapse timing from historical sea-surface temperatures is highly sensitive to unaccounted uncertainties and does not reliably constrain the collapse time.
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A non-autonomous dynamical systems framework shows metabolic constraints increasingly govern phytoplankton persistence in a warming ocean, producing a global expansion of metabolic-driven regimes and a 1:4 ratio of new viable niches to ice-free polar deserts.
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Extrapolation from historical data cannot reliably predict the time of a potential AMOC collapse
The statistical method used to predict AMOC collapse timing from historical sea-surface temperatures is highly sensitive to unaccounted uncertainties and does not reliably constrain the collapse time.
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Beyond the Critical Depth: The Metabolic and Physical Drivers of Phytoplankton Persistence in a Changing Ocean
A non-autonomous dynamical systems framework shows metabolic constraints increasingly govern phytoplankton persistence in a warming ocean, producing a global expansion of metabolic-driven regimes and a 1:4 ratio of new viable niches to ice-free polar deserts.