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Stephanie Henson Harriet Cole, Claudie Beaulieu, Andrew Yool Global warming impact on phytoplankton...
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Transcript of Stephanie Henson Harriet Cole, Claudie Beaulieu, Andrew Yool Global warming impact on phytoplankton...
![Page 1: Stephanie Henson Harriet Cole, Claudie Beaulieu, Andrew Yool Global warming impact on phytoplankton seasonal cycles.](https://reader036.fdocuments.us/reader036/viewer/2022062422/56649e7f5503460f94b82e39/html5/thumbnails/1.jpg)
Stephanie Henson
Harriet Cole, Claudie Beaulieu, Andrew Yool
Global warming impact on phytoplankton seasonal
cycles
![Page 2: Stephanie Henson Harriet Cole, Claudie Beaulieu, Andrew Yool Global warming impact on phytoplankton seasonal cycles.](https://reader036.fdocuments.us/reader036/viewer/2022062422/56649e7f5503460f94b82e39/html5/thumbnails/2.jpg)
• Seasonal cycle of phytoplankton is relevant to higher trophic levels and carbon export
• How will phytoplankton seasonality change with global warming and why?
• A previous study suggested it takes ~ 30 years to detect a global warming trend in primary production
• Could seasonality be a ‘shortcut’ to detecting effects of climate change?
Motivation
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How will global warming alter seasonality?
The canonical view (Doney, 2006)
Reduced mixing + nutrient limitation -> weaker seasonal cycle
Reduced mixing + light limitation -> seasonal cycle remains & earlier blooms
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How will phytoplankton seasonality change with global warming?
Take coupled climate model simulations using IPCC CMIP5 models run with the RCP8.5 scenario 2006-2100:
• Canadian Centre for Climate Modelling and Analysis CanESM2
• NOAA Geophysical Fluid Dynamics Laboratory GFDL-ESM2M
• Met Office Hadley Centre HadGEM2-CC
• Institut Pierre Simon Laplace
IPSL-CM5A-MR
• Max Planck Institute
MPI-ESM-LR
• National Oceanography Centre
NEMO-MEDUSA
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Phytoplankton seasonal cycle metrics
North Atlantic seasonal cycle of primary production (GFDL model – monthly output)
Timing of peak
Seasonal amplitude (max-min)
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Trends in phytoplankton seasonality
Average % change per year, 2006-2090
Primary production Seasonal amplitude Timing of peak
Difference in days, 2006-2026 vs 2071-2090
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Trends in phytoplankton seasonality
Decrease in PP, except Arctic
Decrease in seasonality, especially in North Atlantic
Peak PP ~ advances, particularly Arctic
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Trends in drivers of seasonality
SST amplitude increases (highs get hotter quicker than the lows)
MLD seasonal amplitude decreases everywhere except the Arctic
Surface nitrate seasonal amplitude decreases almost everywhere
Average %
change/year
SST
MLD
NO3
ΔS
ST
/year
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How much data is needed to detect a global warming trend?
n* 3.3N
11
2 / 3
Signal (i.e. trend) has to exceed noise (i.e. natural variability)
n* : number of years required to detect trend
N : standard deviation of the noise (residuals after trend removed) : estimated trend
: auto-correlation of the noise (AR(1))
Weatherhead et al. (1998)
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Detecting a trend in phytoplankton seasonality
n* - Number of years to detect a trend above natural variability
Mean PP – 34 years
Mean annual PP
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Detecting a trend in phytoplankton seasonality
n* - Number of years to detect a trend above natural variability
Mean PP – 34 years; seasonal amplitude – 37 years
Mean annual PP Seasonal amplitude of PP
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Effect of model temporal resolution
• Used monthly mean model output here
• But phenological changes may only be observable at higher temporal resolution
• How does changing the model temporal resolution alter n* (number of years to detect trend)?
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Ongoing work (Harriet Cole)
Effect on n* of calculating trends in bloom initiation with different model temporal resolution
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Conclusions
• Seasonal amplitude of PP decreases; timing of peak advances transformation of bloom regions to non-bloom regions
• Due to decreased mixing and nutrient supply
• Arctic is an exception: increased seasonality and earlier peak, but reduced mixing effect of ice melt?
• Seasonality metrics are not necessarily a shortcut to detecting a trend
• For some regions > monthly resolution data required to detect phenological change
Henson et al. (2010); Beaulieu et al. (2013); Henson et al. (in press) – all Biogeosciences