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Intraspecific Diversity in Thermal Performance Determines Phytoplankton Ecological Niche
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ABSTRACTTemperature has a primary influence on phytoplankton physiology and ecology. We grew 12 strains of Gephyrocapsa huxleyi isolated from different‐temperature regions for ~45 generations (2 months) and characterised acclimated thermal response curves across a temperature range. Even with similar temperature optima and overlapping cell size, strain growth rates varied between 0.45 and 1 day−1. Thermal niche widths varied from 16.7°C to 24.8°C, suggesting that strains use distinct thermal response mechanisms. We investigated the implications of this thermal intraspecific diversity using an ocean ecosystem simulation resolving phytoplankton thermal phenotypes. Model analogues of thermal ‘generalists’ and ‘specialists’ resulted in a distinctive global biogeography of thermal niche widths with a nonlinear latitudinal pattern. We leveraged model output to predict ranges of the 12 lab‐reared strains and demonstrated how this approach could broadly refine geographic range predictions. Our combination of observations and modelled biogeography highlights the capacity of diverse groups to survive temperature shifts.
Title: Intraspecific Diversity in Thermal Performance Determines Phytoplankton Ecological Niche
Description:
ABSTRACTTemperature has a primary influence on phytoplankton physiology and ecology.
We grew 12 strains of Gephyrocapsa huxleyi isolated from different‐temperature regions for ~45 generations (2 months) and characterised acclimated thermal response curves across a temperature range.
Even with similar temperature optima and overlapping cell size, strain growth rates varied between 0.
45 and 1 day−1.
Thermal niche widths varied from 16.
7°C to 24.
8°C, suggesting that strains use distinct thermal response mechanisms.
We investigated the implications of this thermal intraspecific diversity using an ocean ecosystem simulation resolving phytoplankton thermal phenotypes.
Model analogues of thermal ‘generalists’ and ‘specialists’ resulted in a distinctive global biogeography of thermal niche widths with a nonlinear latitudinal pattern.
We leveraged model output to predict ranges of the 12 lab‐reared strains and demonstrated how this approach could broadly refine geographic range predictions.
Our combination of observations and modelled biogeography highlights the capacity of diverse groups to survive temperature shifts.
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