Predicting organismal response to marine heatwaves using dynamic thermal tolerance landscape models DOI
Andrew R. Villeneuve, Easton R. White

Journal of Animal Ecology, Год журнала: 2024, Номер unknown

Опубликована: Июнь 8, 2024

Abstract Marine heatwaves (MHWs) can cause thermal stress in marine organisms, experienced as extreme ‘pulses’ against the gradual trend of anthropogenic warming. When exceeds organismal capacity to maintain homeostasis, organism survival becomes time‐limited and result mass mortality events. Current methods detecting categorizing MHWs rely on statistical analysis historic climatology do not consider biological effects a basis MHW severity. The re‐emergence ectotherm tolerance landscape models provides physiological framework for assessing lethal by accounting both magnitude duration heat Here, we used simulation approach understand suite profiles probability across (1) three adaptive strategies, (2) interannual temperature variation (3) seasonal timing MHWs. We identified isoclines where acute (short duration‐high magnitude) chronic (long duration‐low events had equivalent organisms. While most research attention has focused events, show similar be more common but neglected spikes. Critically, definition does accurately categorize mortality. By letting responses define extremeness event, build mechanistic understanding from basis. Organism then transferred scales ecological organization better predict ecosystem shifts

Язык: Английский

Predicting organismal response to marine heatwaves using dynamic thermal tolerance landscape models DOI
Andrew R. Villeneuve, Easton R. White

Journal of Animal Ecology, Год журнала: 2024, Номер unknown

Опубликована: Июнь 8, 2024

Abstract Marine heatwaves (MHWs) can cause thermal stress in marine organisms, experienced as extreme ‘pulses’ against the gradual trend of anthropogenic warming. When exceeds organismal capacity to maintain homeostasis, organism survival becomes time‐limited and result mass mortality events. Current methods detecting categorizing MHWs rely on statistical analysis historic climatology do not consider biological effects a basis MHW severity. The re‐emergence ectotherm tolerance landscape models provides physiological framework for assessing lethal by accounting both magnitude duration heat Here, we used simulation approach understand suite profiles probability across (1) three adaptive strategies, (2) interannual temperature variation (3) seasonal timing MHWs. We identified isoclines where acute (short duration‐high magnitude) chronic (long duration‐low events had equivalent organisms. While most research attention has focused events, show similar be more common but neglected spikes. Critically, definition does accurately categorize mortality. By letting responses define extremeness event, build mechanistic understanding from basis. Organism then transferred scales ecological organization better predict ecosystem shifts

Язык: Английский

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