How do Various Iron Sources Fuel Phytoplankton Growth in the Southern Ocean? What Factors Control Phytoplankton Abundance in Coastal Polynyas? Kevin R. Arrigo Gert van Dijken Stanford University 1 Antarctic polynyas Areas of open water surrounded by sea ice Can be identified with SSM/I satellite data Based on days of ice cover Red = Max Blue = Min Polynyas are blue areas near coast 2 Antarctic polynyas 40 80 120 160 200 Hot spots of primary production (g C m-2 yr-1) 3 Antarctic polynyas Can support high densities of marine mammals and birds Adelie Penguins vs. Polynya Productivity Mean colony size (1000 pairs) Hot spots of primary production (g C m-2 yr-1) Ann R2 = 0.63 Annual production (mg C m-2 yr-1) Arrigo and Van Dijken (2003) 4 Antarctic polynyas Can support high densities of marine mammals and birds Seal Pups vs. Polynya Productivity Weddell seal pups weaned Hot spots of primary production (g C m-2 yr-1) R2 = 0.75 Annual production (mg C m-2 yr-1) Paterson et al. (submitted) 5 Antarctic polynyas Hot spots of primary production (g C m-2 yr-1) CO2 flux (g C m-2 yr-1) Can support high densities of marine mammals and birds Ross Sea Large sinks for atmospheric CO2 Arrigo et al. (2008) 6 Question: What factors control phytoplankton abundance in Antarctic coastal polynyas? Factors investigated for each polynya: Area of open water Number of days of open water Mean daily PAR during growing season Sea surface temperature Continental shelf width Basal melt rate of nearby glaciers (Rignot et al. 2013) Photo: John Weller Phaeocystis antarctica 7 Approach SeaWiFS For 1998-2013: Used satellite data to identify polynyas, track changes in sea ice, measure SST and chlorophyll a concentration, and calculate primaryAVHRR production SSM/I 8 Atlantic Ocean 17 18 1516 14 13 12 11 9 19 20 21 22 23 24 25 26 27 28 10 8 7 6 29 ANTARCTICA 30 5 4 3 Pacific Ocean 2 1 45 46 44 43 42 41 40 31 32 33 34 35 36 37 38 39 Indian Ocean 9 Annual mean phytoplankton abundance in 46 coastal polynyas Chlorophyll a (mg m-3) 2.5 Pacific Atlantic Indian Pacific 2.0 1.5 1.0 0.5 0.0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 Polynya number 10 Annual mean phytoplankton abundance in 46 coastal polynyas • Related to annual mean sea surface temperature • Warmer temperatures promote higher Chl a • Strongest relationship in Atlantic sector Pacific Atlantic Indian Pacific 0 -0.2 2.0 -0.4 1.5 -0.6 -0.8 1.0 -1.0 0.5 -1.2 Temperature (°C) Chlorophyll a (mg m-3) 2.5 -1.4 0.0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 Polynya number 11 2.0 1.5 Pacific Atlantic 2.5 R2 = 0.41 p < 0.01 2.0 1.5 1.0 Indian Pacific 0.5 0 -0.2 0.0 -1.5 -1.0 -0.5 0.0 Temperature (°C) -0.4 -0.6 -0.8 1.0 -1.0 0.5 -1.2 Temperature (°C) Chlorophyll a (mg m-3) 2.5 Chlorophyll a (mg m-3) Annual mean phytoplankton abundance in 46 coastal polynyas -1.4 0.0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 Polynya number 12 What other factors control phytoplankton abundance in coastal polynyas? Chlorophyll a (mg m-3) 2.5 Pacific Atlantic Indian Pacific 2.0 1.5 1.0 0.5 0.0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 Polynya number 13 What other factors control phytoplankton abundance in coastal polynyas? • Related to width of local continental shelf • Relationship about equally strong in all sectors Pacific Atlantic Indian Pacific 700 600 2.0 500 1.5 400 300 1.0 200 0.5 100 Shelf width (km) Chlorophyll a (mg m-3) 2.5 0 0.0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 Polynya number 14 2.0 1.5 Pacific Atlantic R2 = 0.40 p < 0.01 2.5 2.0 1.5 Indian Pacific 1.0 700 600 0.5 500 0.0 0 200 400 600 Shelf width (km) 1.0 400 300 200 0.5 100 Shelf width (km) Chlorophyll a (mg m-3) 2.5 Chlorophyll a (mg m-3) What other factors control phytoplankton abundance in coastal polynyas? 0 0.0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 Polynya number 15 Why the relationship between phytoplankton abundance and continental shelf width? • Highest seawater iron concentrations are on the shelf • Wider shelves have larger iron inventory and permit greater entrainment of iron into surface waters (Bruland et al. 2005, Biller et al. 2013) • More iron = higher phytoplankton biomass Blue = Low iron concentration Orange = High iron concentration visibleearth.nasa.gov 16 Why the relationship between phytoplankton abundance and continental shelf width? A Marsay et al. (2014) nM 0 2 200 1.5 400 B A 1.0 600 0.5 800 0 164°E Best example is in Ross Sea Large continental shelf Depth (m) B 168°E 172°E 176°E 180°E Longitude 0 Gerringa et al. (submitted) 200 400 600 800 Blue iron concentration Low= Low Fe near RIS Orange = High iron concentration Ross Ice Shelf Latitude visibleearth.nasa.gov 17 What other factors control phytoplankton abundance in coastal polynyas? Chlorophyll a (mg m-3) 2.5 Pacific Atlantic Indian Pacific 2.0 1.5 1.0 0.5 0.0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 Polynya number 18 What other factors control phytoplankton abundance in coastal polynyas? • 39 of 46 coastal polynyas are adjacent to melting ice shelves Chlorophyll a (mg m-3) 2.5 Pacific Atlantic Indian Pacific 2.0 1.5 1.0 0.5 0.0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 Polynya number 19 Chlorophyll a (mg m-3) 2.5 Pacific Atlantic Indian Pacific 180 160 140 2.0 120 100 1.5 80 60 1.0 40 20 0.5 0 Basal melt rate (Gt yr-1) What other factors control phytoplankton abundance in coastal polynyas? • 39 of 46 coastal polynyas are adjacent to melting ice shelves • Phytoplankton abundance related to basal melt rate • Relationship strongest in Pacific sector 0.0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 Polynya number 20 2.0 1.5 Pacific Atlantic 2.5 R2 = 0.59 p < 0.01 2.0 1.5 Indian Indian Pacific 180 1.0 160 0.5 140 0.0 120 0 50 100 150 200 Basal melt rate (Gt yr-1) 100 80 60 1.0 40 20 0.5 0 Basal melt rate (Gt yr-1) Chlorophyll a (mg m-3) 2.5 Chlorophyll a (mg m-3) What other factors control phytoplankton abundance in coastal polynyas? 0.0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 Polynya number 21 Why the relationship between phytoplankton abundance and basal melt rate of nearby ice shelves? • Ice sheets grind up bedrock as they flow to sea • Ice sheets accumulate Fe-containing dust • Particulate and dissolved iron is released into seawater • Facilitated by upwelling of warm CDW • Iron taken up by growing phytoplankton Phytoplankton bloom (CDW) 22 Why the relationship between phytoplankton abundance and basal melt rate of nearby ice shelves? Best example is in Amundsen Sea • Most rapidly melting glaciers • Large Fe flux at face of Pine Island Glacier • Fe consumed by phytoplankton in surface waters DynaLiFe Cruise Depth (m) 0 Dissolved iron (nM) Chlorophyll > 10 mg m-3 0.8 Chlorophyll > 5 mg m-3 100 0.6 0.4 200 0.2 300 250 200 150 100 50 0 0 Distance from Pine Island Glacier (km) Modified from Gerringa et al. (2012) 23 How much variance in chlorophyll a can be explained by environmental variables? Multiple regression model included: Shelf width SST Basal melt rate Open water area *Number of days of open water *Mean daily PAR *Removed because they had no effect on regression model 24 Some of the predictor variables were significantly but weakly correlated Predictor Predictor R2 p-value Shelf width SST 0.19 p<0.01 SST Basal melt 0.16 p<0.01 Shelf width Basal melt 0.17 p<0.01 Shelf width Open water 0.20 p<0.01 25 Multiple linear regression: R2 = 0.77 Parameter p-value VIF % of R2 explained Basal melt rate (Gt yr-1) <0.001 1.34 43.6% Sea surface temp (°C) <0.01 1.42 24.5% Shelf width (km) <0.01 1.67 19.1% Mean open water (km2) <0.05 1.26 12.8% VIF = Variance Inflation Factor (should be below 2.5) 26 CONCLUSIONS Even coastal Antarctic polynyas are iron-limited Light does not control phytoplankton productivity Higher SST increases phytoplankton abundance directly through increased growth rates but possibly also indirectly through increased glacial melting Wide shelves are more productive than narrow ones Greater resuspension of sediment iron Very productive polynyas require input of glacial meltwater Presumably because of additional iron supplies Future increases in glacial melt are likely to increase biological productivity of coastal ecosystems 27 THANK YOU! Ocean Biology and Biogeochemistry Cryosphere Science Program 28
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