lter temporal and spatial variability

1
Introduction Accurate estimations of CO 2 and O 2 fluxes, coupled with an understanding of the processes that control these fluxes, is necessary to predict the res-- ponses of the Southern Ocean to anthropogenic induced climate change. The Palmer Long-Term Ecological Research (LTER) program was estab- lished in 1990 to study the Antarctic marine ecosystem west of the Antarc- tic Peninsula, especially habitat variability and response to global climate change (Smith et al. 1995). Our component of this multi-disciplinary project, “Microbiology and carbon flux,” includes measurements of carbon (C) and oxygen (O) inven- tories (dissolved gases and solutes), C and O fluxes (production, particle export and air-sea gas exchange) and microbial community structure and function. In the ice-dominated Southern Ocean, the seasonal advance and retreat of sea ice may affect both C and O fluxes. Quantifying these fluxes requires that we sample the dissimilar ecosystems comprising the Southern Ocean. Methods Oxygen and DIC samples were collected within the Palmer LTER fixed sampling grid during the austral summer (Jan–Feb) field seasons of 1993 to 1997 to facilitate both geographical and interannual comparisons (Figure 1). Oxygen concentrations were determined in seawater, drawn into calibrated iodine flasks, by a automated potentiometric Winkler titration (Carpenter 1965). Precision was typically 0.1%. Accuracy was determined using CSK KIO 3 certified reference material (Wako Chemical). Oxygen saturation was calculated using the constants of Weiss (1970) and surface seawater temper- ature and salinities. DIC was measured by coulometric determination of extracted CO 2 on stored 300 ml samples fixed with 100 μl of saturated mer- curic chloride (Johnson et al. 1985). Precision was typically 0.05%. Accuracy was 1 μmol/kg as determined using A. Dickson Certified Reference Materials (Dickson 1991). For comparison among stations and years, DIC was normalized to a salinity of 33.5 (N-DIC). An automated underway CO 2 /O 2 measurement system analyzed surface seawater from the ships bow intake utilizing a counter flow rotating disk equilibrator and a LICOR 6262 infrared CO 2 gas analyzer. The system was calibrated with NOAA-CMDL certi- fied CO 2 gas standards. During the 1997 and 1998 field seasons, underway oxygen concentrations were determined with 4 Endeco oxygen electrodes. The electrodes were calibrated with oxygen samples taken from the BOPS. Results Regional Variability The ratio of O 2 to CO 2 varies from the air saturated equilibrium state suggesting a combination of processes controlling O 2 and CO 2 distributions within onshore to offshore areas (Figures 2 and 3). A comparison of calculated fCO 2 [using constants of Roy et al. (1993) with the program of Lewis and Wallace (1995)] with measured fCO 2 values showed no significant differences (-6 ± 11 μatm; Figure 4). Interannual Variability During the 1993 and 1996 field seasons, supersaturated surface water predominated throughout the study area (Figure 5). Dur- ing the 1994 and 1995 field seasons, however, undersaturated surface water occurred through much of the area (Figure 5). Relatively low normalized DIC concentrations were wide- spread during the 1994 field season compared to other years (Figure 6). Areas of surface ocean supersaturation (values above atmos- pheric equilibrium) were found off the shelf, suggesting upwell- ing as a source of CO 2 -enriched waters (Figure 7). Areas of undersaturation (values below atmospheric equilibrium) occur- red in coastal waters and were associated with increases in chlor- ophyll, implying a biological control. Between 1996 and 1998, supersaturated surface waters encroached onshelf (Figures 2 and 7). Discussion & Conclusions Processes such as upwelling of CDW onto the shelf, ice dynamics and biological production and consump- tion of organic matter all contribute to the complex spatiotemporal variability observed in O 2 and carbon pool dynamics. The relative significance of each pro-- cess in controlling O 2 , DIC and fCO 2 has yet to be determined. The increased onshelf intrusion of seawaters that are supersaturated with respect to CO 2 between 1996 and 1998 suggests that upwelling of CDW may con- trol CO 2 concentrations offshore. O 2 concentrations correlate strongly with the ice indices, suggesting that ice dynamics are important in controlling O 2 distributions (Figure 8). Within the Southern offshore region of the LTER grid, higher O 2 concentrations are present during years of lower chlorophyll concentrations, and visa versa. This sug- gests that physical controls such as air-sea gas exchange may be important in controlling O 2 concen- trations. Salinity normalized DIC does not correlate with O 2 or ice indices. Figure 5 Calculated oxygen saturation for the LTER study area in austral summer 1993 to 1997 field seasons (Jan–Feb). The x and y axes represent longitude and latitude, respectively. The z axis represents year. Each colored circle represents a sta- tion location where an oxygen saturation calculation was made. Figure 6 Salinity normalized DIC for the LTER 1993 to 1997 field seasons. The axes are the same as described in Fig- ure 5. Figure 7 Surface water fCO 2 represented as percent satura- tion relative to the atmosphere for the LTER 1996 to 1998 field seasons. Unlike oxygen and DIC measurements, fCO 2 measurements were made with the automated underway CO 2 system resulting in greater spatial resolution. The axes are the same as described in Figure 5. Figure 2 Underway system measurements of fCO 2 and O 2 con- centrations for the 1997 LTER field season. The colors in plots A and B correspond to the sample area shown by the ship track in plot C. ( A ) Julian day versus fCO 2 (μatm). ( B ) Julian day versus O 2 concentration (μmol/l.) ( C ) Map showing the ship track of the R/V Polar Duke. Figure 4 Measured and calculated fCO 2 versus Julian day for the LTER 1996 field season. Inset: Calculated versus measured fCO 2 .The solid line is y=x. Figure 3 CO 2 % saturation versus O 2 % saturation using data from Figure 2A and 2B. Colors correspond to the sample area shown by the ship track in plot 2C. The blue, green and yellow points represent measurements from the LTER grid area while the orange and red points represent measure- ments from coastal inshore locations. Figure 8 (left) Mean and standard deviation of measured parameters for the Central onshore (red line) and South- ern offs- hore regions (yellow line) for the 1993 to 1996 field sea- sons. ( A ) Normalized DIC in μmol/kg. ( B ) Oxygen con- centration in μmol/l. ( C ) Chloro- phyll mg/m 3 ( D ) Ice indices rep- resented as ice coverage within the LTER area (Smith et al. 1998). The yellow line repre- sents the total ice coverage in the winter and the red line rep- resents the total ice cover dur- ing the spring. Regional Variability Interannual Variability Figure 1 Section of the LTER program study area showing station locations on the 200 to 600 grid lines. During each austral summer LTER field season (Jan–Feb), a suite of hydrographic, opti- cal and biological measurements are made at each location using a Bio-optical Profiling Sys- tem (BOPS; Smith et al. 1984). The shelf break is shown by the 1000 meter isobath (solid red line). O 2 and DIC surface concentrations from the Southern offshore area, (designated by green box on left) and Central onshore area (des- ignated by green box on right) are compared to winter and spring “ice indices” expressed as ice coverage in km 2 for the LTER grid during the win- ter and spring seasons (Smith et al. 1998). Correlation and Processes Abstract Chemical, physical and biological controls on in-situ oxygen (O 2 ) saturation, dissolved inorganic carbon (DIC) concentrations, and fugacity of carbon dioxide (fCO 2 ) in surface water induce temporal and spatial habitat variability in surface waters west of the Antarc- tic Peninsula. Geographic surveys of O 2 , DIC and fCO 2 show large interannual and spatial variability predicted for polar regions with seasonal ice cover. The magnitude and timing of sea-ice coverage, fluctu- ations in the quantity of Antarctic Circumpolar Deep Water (CDW) upwelled onto the shelf and biological production and consumption may explain the inter- annual and spatial variability that are observed. Palmer LTER: Temporal and Spatial Variability of Oxygen Saturation, Dissolved Inorganic Carbon and Fugacity of Carbon Dioxide in Sur- face Waters West of the Antarctic Peninsula Christopher J. Carrillo and David M. Karl Department of Oceanography, University of Hawaii 1000 Pope Road, Honolulu, HI, 96822, U.S.A. [email protected], [email protected] H A W A II O C E A N T I M E - S E R I E S C O U P L E D O C E A N - I C E L I N K A GE S & D Y N A M I C S J G O F S L T E R U N I V E R S I T Y o f H AW A I I 0° 180° 90° W 90° E C O L D H O T & STATION ALOHA PALMER STATION 158°W 22°45'N S o u t h A t l a n t i c O c e a n S o u t h At l a n t i c O c e a n I n d i a n O c e a n Euphasia superba Pygoscelis adeliae Antarctica PAL References Carpenter J.H. 1965. Limnology and Oceanography 10, 135–141. Dickson A.G. 1991. US JGOFS News 3, 4. Johnson K.M., King A.E., Sieburth J.McN. 1985. Marine Chemistry 16, 61-82. Lewis E.R. and Wallace D.W.R. 1995. Data report BNL-61827 informal Brook- haven National National Labora- tory. Roy R.N., Roy L.N., Vogel K.M., Porter-Moore C., Pearson T., Good C.E. 1993. Marine Chemistry 42, 249–267. Smith R.C., Baker K.S., Stammerjohn S. E. 1998. Bioscience 48, 83–93. Smith R.C., Baker K.S., Fraser W.R., Hofmann E.E., Karl D.M., Klink J.M., Quetin L.B., Prezelin B.B., Ross R.M., Trivelpiece W.Z., Vernet M. 1995. Oceanography 8, 77–86. Smith R.C., Booth C.R., Star J.L. 1984. Applied Optics 23, 2791–2797. Weiss R.F. 1970. Marine Chemistry 2, 203–215.

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Page 1: LTER Temporal and Spatial Variability

IntroductionAccurate estimations of CO2 and O2 fluxes, coupled with an understanding of the processes that control these fluxes, is necessary to predict the res--ponses of the Southern Ocean to anthropogenic induced climate change.

The Palmer Long-Term Ecological Research (LTER) program was estab-lished in 1990 to study the Antarctic marine ecosystem west of the Antarc-tic Peninsula, especially habitat variability and response to global climate change (Smith et al. 1995).

Our component of this multi-disciplinary project, “Microbiology and carbon flux,” includes measurements of carbon (C) and oxygen (O) inven-tories (dissolved gases and solutes), C and O fluxes (production, particle export and air-sea gas exchange) and microbial community structure and function.

In the ice-dominated Southern Ocean, the seasonal advance and retreat of sea ice may affect both C and O fluxes. Quantifying these fluxes requires that we sample the dissimilar ecosystems comprising the Southern Ocean.

MethodsOxygen and DIC samples were collected within the Palmer LTER fixed sampling grid during the austral summer (Jan–Feb) field seasons of 1993 to 1997 to facilitate both geographical and interannual comparisons (Figure 1).

Oxygen concentrations were determined in seawater, drawn into calibrated iodine flasks, by a automated potentiometric Winkler titration (Carpenter 1965). Precision was typically 0.1%. Accuracy was determined using CSK KIO3 certified reference material (Wako Chemical). Oxygen saturation was calculated using the constants of Weiss (1970) and surface seawater temper-ature and salinities.

DIC was measured by coulometric determination of extracted CO2 on stored 300 ml samples fixed with 100 µl of saturated mer-curic chloride (Johnson et al. 1985). Precision was typically 0.05%. Accuracy was 1 µmol/kg as determined using A. Dickson Certified Reference Materials (Dickson 1991). For comparison among stations and years, DIC was normalized to a salinity of 33.5 (N-DIC).

An automated underway CO2/O2 measurement system analyzed surface seawater from the ships bow intake utilizing a counter flow rotating disk equilibrator and a LICOR 6262 infrared CO2 gas analyzer. The system was calibrated with NOAA-CMDL certi-fied CO2 gas standards. During the 1997 and 1998 field seasons, underway oxygen concentrations were determined with 4 Endeco oxygen electrodes. The electrodes were calibrated with oxygen samples taken from the BOPS.

ResultsRegional VariabilityThe ratio of O2 to CO2 varies from the air saturated equilibrium state suggesting a combination of processes controlling O2 and CO2 distributions within onshore to offshore areas (Figures 2 and 3).

A comparison of calculated fCO2 [using constants of Roy et al. (1993) with the program of Lewis and Wallace (1995)] with measured fCO2 values showed no significant differences (-6 ± 11 µatm; Figure 4).

Interannual VariabilityDuring the 1993 and 1996 field seasons, supersaturated surface water predominated throughout the study area (Figure 5). Dur-ing the 1994 and 1995 field seasons, however, undersaturated surface water occurred through much of the area (Figure 5).

Relatively low normalized DIC concentrations were wide-spread during the 1994 field season compared to other years (Figure 6).

Areas of surface ocean supersaturation (values above atmos-pheric equilibrium) were found off the shelf, suggesting upwell-ing as a source of CO2-enriched waters (Figure 7). Areas of undersaturation (values below atmospheric equilibrium) occur-red in coastal waters and were associated with increases in chlor-ophyll, implying a biological control. Between 1996 and 1998, supersaturated surface waters encroached onshelf (Figures 2 and 7).

Discussion & ConclusionsProcesses such as upwelling of CDW onto the shelf, ice dynamics and biological production and consump-tion of organic matter all contribute to the complex spatiotemporal variability observed in O2 and carbon pool dynamics. The relative significance of each pro--cess in controlling O2, DIC and fCO2 has yet to be determined.

The increased onshelf intrusion of seawaters that are supersaturated with respect to CO2 between 1996 and 1998 suggests that upwelling of CDW may con-trol CO2 concentrations offshore.

O2 concentrations correlate strongly with the ice indices, suggesting that ice dynamics are important in controlling O2 distributions (Figure 8). Within the Southern offshore region of the LTER grid, higher O2 concentrations are present during years of lower chlorophyll concentrations, and visa versa. This sug-gests that physical controls such as air-sea gas exchange may be important in controlling O2 concen-trations.

Salinity normalized DIC does not correlate with O2 or ice indices.

Figure 5 Calculated oxygen saturation for the LTER study area in austral summer 1993 to 1997 field seasons (Jan–Feb). The x and y axes represent longitude and latitude, respectively. The z axis represents year. Each colored circle represents a sta-tion location where an oxygen saturation calculation was made.

Figure 6 Salinity normalized DIC for the LTER 1993 to 1997 field seasons. The axes are the same as described in Fig-ure 5.

Figure 7 Surface water fCO2 represented as percent satura-tion relative to the atmosphere for the LTER 1996 to 1998 field seasons. Unlike oxygen and DIC measurements, fCO2 measurements were made with the automated underway CO2 system resulting in greater spatial resolution. The axes are the same as described in Figure 5.

Figure 2 Underway system measurements of fCO2 and O2 con-centrations for the 1997 LTER field season. The colors in plots A and B correspond to the sample area shown by the ship track in plot C. (A) Julian day versus fCO2 (µatm). (B) Julian day versus O2 concentration (µmol/l.) (C) Map showing the ship track of the R/V Polar Duke.

Figure 4 Measured and calculated fCO2 versus Julian day for the LTER 1996 field season. Inset: Calculated versus measured fCO2.The solid line is y=x.

Figure 3 CO2 % saturation versus O2 % saturation using data from Figure 2A and 2B. Colors correspond to the sample area shown by the ship track in plot 2C. The blue, green and yellow points represent measurements from the LTER grid area while the orange and red points represent measure-ments from coastal inshore locations.

Figure 8 (left) Mean and standard deviation of measured parameters for the Central onshore (red line) and South-ern offs-hore regions (yellow line) for the 1993 to 1996 field sea-sons. (A) Normalized DIC in µmol/kg. (B) Oxygen con-centration in µmol/l. (C) Chloro-phyll mg/m3 (D) Ice indices rep-resented as ice coverage within the LTER area (Smith et al. 1998). The yellow line repre-sents the total ice coverage in the winter and the red line rep-resents the total ice cover dur-ing the spring.

Regional Variability

Interannual Variability

Figure 1 Section of the LTER program study area showing station locations on the 200 to 600 grid lines. During each austral summer LTER field season (Jan–Feb), a suite of hydrographic, opti-cal and biological measurements are made at each location using a Bio-optical Profiling Sys-tem (BOPS; Smith et al. 1984). The shelf break is shown by the 1000 meter isobath (solid red line). O2 and DIC surface concentrations from the Southern offshore area, (designated by green box on left) and Central onshore area (des-ignated by green box on right) are compared to winter and spring “ice indices” expressed as ice coverage in km2 for the LTER grid during the win-ter and spring seasons (Smith et al. 1998).

Correlation and Processes

AbstractChemical, physical and biological controls on in-situ oxygen (O2) saturation, dissolved inorganic carbon (DIC) concentrations, and fugacity of carbon dioxide (fCO2) in surface water induce temporal and spatial habitat variability in surface waters west of the Antarc-tic Peninsula. Geographic surveys of O2, DIC and fCO2 show large interannual and spatial variability predicted for polar regions with seasonal ice cover. The magnitude and timing of sea-ice coverage, fluctu-ations in the quantity of Antarctic Circumpolar Deep Water (CDW) upwelled onto the shelf and biological production and consumption may explain the inter-annual and spatial variability that are observed.

Palmer LTER: Temporal and Spatial Variability of Oxygen Saturation, Dissolved Inorganic Carbon and Fugacity of Carbon Dioxide in Sur-

face Waters West of the Antarctic PeninsulaChristopher J. Carrillo and David M. Karl

Department of Oceanography, University of Hawaii1000 Pope Road, Honolulu, HI, 96822, U.S.A.

[email protected], [email protected]

HA W A I I O C E A N T I M E - S E R I E S

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22°45'N

South At lant i c Ocean

South A t l a n t i c O c e a n

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Euphasia superba

Pygoscelis adeliae

Antarctica

PAL

ReferencesCarpenter J.H. 1965. Limnology and Oceanography 10, 135–141.

Dickson A.G. 1991. US JGOFS News 3, 4.

Johnson K.M., King A.E., Sieburth J.McN. 1985. Marine Chemistry 16, 61-82.

Lewis E.R. and Wallace D.W.R. 1995. Data report BNL-61827 informal Brook-haven National National Labora-tory.

Roy R.N., Roy L.N., Vogel K.M., Porter-Moore C., Pearson T., Good C.E. 1993. Marine Chemistry 42, 249–267.

Smith R.C., Baker K.S., Stammerjohn S. E. 1998. Bioscience 48, 83–93.

Smith R.C., Baker K.S., Fraser W.R., Hofmann E.E., Karl D.M., Klink J.M., Quetin L.B., Prezelin B.B., Ross R.M., Trivelpiece W.Z., Vernet M. 1995. Oceanography 8, 77–86.

Smith R.C., Booth C.R., Star J.L. 1984. Applied Optics 23, 2791–2797.

Weiss R.F. 1970. Marine Chemistry 2, 203–215.