Antarctic Science 10 (1): 3 9 4 4 (1998) The use of oxygen microelectrodes to determine the net production by an Antarctic sea ice algal community A. McMINN' and C. ASHWORTHZ 'Institute of Antarctic and Southern Ocean Studies, University of Tasmania, Box 252C Hobart 7001, Tasmania, Australia Email: [email protected] 2Departmentof Plant Science, University of Tasmania, Box 252C Hobart 7001, Tasmania, Australia Abstract: Oxygen microelectrodes were used to measure the photosynthetic rates of Antarctic fast ice algal mats. Using the oxygen flux across the diffusive boundary layer below the fast ice at Davis, a productivity range of 0-1.78 mg C m-2h-' was measured. This is at the lower end of fast ice productivity estimates and suggests that conventional I4C techniques may overestimate sea ice algal mat productivity. Photosynthetic capacity (P,,,) approached 0.05 mg C. (mg chl a)-' h-I. Onset of photosynthesis saturation, Ek,was found at c. 14 pmol photons m-2s-'. The irradiance of photoinhibition onset, Einh,was c. 20 pmol photons m-2s-' and the irradiance at the compensation point, Ec, was 4 p o l photons rn-' s-'. Received 14 August 1997, accepted 10 November 1997 Key words: Antarctic, fast ice, oxygen microelectrodes, photosynthesis, sea ice algae Introduction initial development of this technique was undertaken by Revsbech, Jorgensen and collaborators(Jorgensen & Revsbech 1985, Jorgensen et al. 1983, Revsbech & Jorgensen (1983, 1986), Revsbech et al. (1980, 1983)). They identified two methods of determining the photosynthetic rates of algal mats. One measures gross photosynthesis within the algal mat by measuring the immediate rate of oxygen depletion in the dark, which is observed after a period of sustained productionin thelight (Revsbech & Jorgensen 1983,Revsbech & Jorgensen 1986). The second method, the method used here, is based on measuring the oxygen flux through the diffusive boundary layer (DBL) to calculate the local net oxygen production of the whole mat (Jorgensen & Revsbech 1985). The second method was used in the sea ice because of the difficulty of inserting the fragile electrodes into the sea ice. 14C methods of determining productivity measure something between gross and net productivity. Longer incubations more closely approximate net productivity while shorter term incubations more closely approximate gross productivity. The oxygen microelectrode method described here measures net community production. Microelectrode methods have been widely applied to sediments (Jorgensen & Revsbech 1985)and benthic algal mats (Ellis-Evans& Bayliss 1993, Jorgensen et al. 1983, Vincent et al. 1993) but are applied here to sea ice algal mats for the first time. Each year in autumn sea ice expands to cover over 20 million km2of the Southern Ocean and, while it severely reduces the amount of light available to phytoplankton, it provides a transient habitat for sea ice algae. The length of time an area is covered by sea ice is largely determined by how close it is to Antarctica; coastal areas may be covered by sea ice for more than 10 months while those at the extremities of the sea ice extent may be covered for only a few days. In areas covered by persistent sea ice primary productivity within the sea ice may account for up to 50% of the annual total (Knox 1994, Voytek 1989). In the fast ice close to the Antarctic coast most of the algal biomass is concentrated in a dense band at the bottom of the ice. Here, concentrations of up to 309 mg chlam-*(Palmisano &Sullivan 1983)have been recorded, althoughconcentrations of 15-120 mg chl a m-2are more typical (McConville et al. 1985,Watanabe & Satoh 1987). Determiningtheproductivity of sea ice algal communities is far more problematical. Most studies have used the I4C method (Steeman Nielsen 1952) which has necessarily involved the melting of the sea ice to extract the algae (Lizotte & Sullivan 1992, McConville & Wetherbee 1983, Palmisano & Sullivan 1983). Others (Grossi et al. 1987, Smith & Herman 1991) have incubated the algal mat without melting the ice but have often obtained lower values and have noted the problem of determining the degree to which the 14Ctracer has infiltrated the ice. The development of oxygen microelectrodes for measuring photosynthesis in minimally disturbed benthic algal communities has provided a method that does not require the use of I4Ctracers. The electrodes, which have tip diameters as small as 5 pm, can be inserted into algal mats with minimum disturbance to the local environment. Much of the Materials and methods Three replicate sea ice algal mat samples were collected regularly from a site 8 km north of Davis (68"35'S, 77"59'E) between 26 October and 2 December 1995 (Fig. 1). Samples for productivity analysis were collected between 17 and 25 November 1995. The ice at this site was 1.05 m thick and 39 Downloaded from https://www.cambridge.org/core. IP address: 88.99.165.207, on 31 Jul 2017 at 13:18:21, subject to the Cambridge Core terms of use, available at https://www.cambridge.org/core/terms. https://doi.org/10.1017/S0954102098000066 40 A. McMlNN & C. ASHWORTH Fig. 1. Fast ice algal mats from Davis. The mats were sampled from a site 8 km offshore from Davis on 17 November 1995. a. Bottom of a fast ice core from Davis, Antarctica, showing algal mat development in the bottom few centimetres. Ice core is 13 cm in diameter; the coloured algal layer is only 1 cm thick. b. The underside of the fast ice at Davis showing microscale heterogeneity. This core is submerged within the experimental apparatus and is being artificiafly illuminated from underneath. Ice core diameter is 13 cm. covered with 10 cm of snow. A Jiffey drill was used to auger to within 20 cm of the bottom of the ice. The lowest 20 cm of ice only was taken with a 13 cm diameter SIPRE corer, immediately placed in a black plastic bag and returned to the laboratory. Previous work had shown that >95% of the algal biomass in fast ice was concentrated in the bottom 20 cm (Palmisano & Sullivan 1983, McConville & Wetherbee 1983, Grossi et al. 1987, Watanabe & Satoh 1987, McMinn 1996). All experiments were conducted in a darkroom to eliminate stray light from the surroundings. A 20 cm diameter glass-bottomed tank was connected to a refrigerated recirculating water bath (Lauda) filled with filtered sea water from the sample site, and with a temperature maintained at -1 .O"C. The ice cores were inverted so that the algal mat faced upwards and placed into the tank, which was illuminated from below with either a halogen or daylight fluorescent light source. Light intensity was controlled by the use of neutral density filters, Oxygen microelectrodes, temperature minisensors and fibre optic light microprobes were inserted into the algal mat vertically from above and ambient water temperature was maintained. The Clarke-type oxygen microelectrodes with guard cathodes (Aquamatic Pty L t d , Denmark) and tips approximately 60-120 pm in diameter, exhibited 90% response times of approximately 5-10 seconds. The stirring sensitivity of the micro oxygen electrodes was measured in the recirculating water bath and was found to be <1% (Jorgensen & Des Marais 1990). The probes were mounted on a slide track which allowed them to be inserted vertically in 50 pm steps into the DBL while the data were logged directly onto a PC. Probe movement was controlled by a motorised micromanipulator also under PC control. Vertical movement of the electrodes was in 50 pm increments. The oxygen microelectrode preamp signal was measured and logged in ADC units. This signal was converted to oxygen concentration by linear calibration with Winkler titrations of water deoxygenated by 20 min of N, bubbling, air saturated water and an intermediate oxygen concentration all at - 1.O"C. Calibration was performed prior to use of microelectrodes in the algal mat. An Aquamatic temperature minisensor with a tip diameter of 0.5 mm and offset from the oxygen and light electrodes by I cm was used to collect the temperature data. The ambient temperature of the darkroom was maintained at 10°C to minimise warming of the experimental tank. At the end of experimentation a small temperature gradient had developed at the water surface but as this was minimal, ie less than 1"C, and well outside the DBL it was unlikely to have effected the estimation of oxygen diffusion. Fibre optic light microprobes were constructed to measure scalar irradiance (Kuhl et al. 1994). They had tip diameters of c. 0.2 mm and were calibrated with reference to measurements by a Biospherical Instruments QSP-170 47c quantum radiometer. PAR scalar irradiances within the tank werc measured at the ice-water interface within 1 mm of the oxygen microelectrode. Ambient light levels beneath the sea ice at the field site were measured with the same radiometer to determine appropriate light levels to be used in the laboratory study. Algal mats were illuminated for a minimum of 30 min before oxygen profiles were measured to ensure that a steady state oxygen distribution had been achieved within the DBL. Circulation from the water bath to the tank was suspended during this process. The measured 0, gradients over the DBL were used to calculate the net oxygen production in light. The oxygen diffusion flux (J) across the DBL is equivalent to the net productivity of the algal mat and was calculated using the one-dimensional version of Fick's first law of diffusion (Revsbech & Jorgensen 1986): Downloaded from https://www.cambridge.org/core. IP address: 88.99.165.207, on 31 Jul 2017 at 13:18:21, subject to the Cambridge Core terms of use, available at https://www.cambridge.org/core/terms. https://doi.org/10.1017/S0954102098000066 MEASURING PRODUCTIVITY OF ICE ALGAE J=DoK ax 120, I 41 I I I I I I I where Do= molecular diffusion coefficient (at -1 .O"C =l. 14 x lo-' cm2 s-I (Broecker & Peng 1974)) dX =effective DBL thickness (Jsrgensen & Revsbech 1985) or 90% level (Jsrgensen & Des Marais 1990) aC = change in oxygen concentration across the DBL. The top of the DBL was estimated by determining the level at which the oxygen concentration had increased by 10% of the difference between the maximum and minimum concentrations (i.e. the oxygen export equivalent of the 90% of 'free-flow concentration' (Jsrgensen & Des Marais 1990)). Detection of the end point of the DBL, ie when the electrodes had reached the ice surface, was based on observation with a dissecting microscope and repeated unchanging 0, readings. If the electrodes came into direct contact with the ice both the temperature and 0, readings dropped sharply. After oxygen flux measurements were completed the samples were melted into filtered sea water for chlorophyll analysis (Strickland & Parsons 1972), using a GBC UV/VIS 9 16 spectrophotometer. The photosynthetic parameters Pmax,i.e. the maximum photosynthetic rate (mg C (mg chl a)-' h-I), E,, i.e. the irradiance of the onset of saturation (pmol photons m-2s-') a, the photosynthetic efficiency (mg C (mg chl a)-' h-' (pmol photons rn-, s-l)-l)and Einh,the irradiance of the onset of photoinhibition (pmol photons m-2s-I) were estimated from the composite P-E scatter plot. Results Algal mats begin to develop on the underside of the fast ice at Davis in late September each year. Biomass reaches a maximum, usually around 90-120 mg chl a m-,, in late November and then declines rapidly. Much of this decline occurs as a result of small increases in the underlying water temperatures and slow melting of the ice from above. The algal biomass is overwhelmingly concentrated in the lower 5 cm (McMinn 1996), most of it as an encrusting layer on the hard ice underside (Fig. 1). In 1995 the algal mat community was dominated by Entomeneis kjellmannii (80-96%) with lesser contributions from Nitzschia stellata (1-9%) and Navicula glaciei (0-5%). Light reaching the bottom algal mat at Davis was severely reduced by c. 10 cm of snow cover. Midday under ice irradiances in late October and November were between 1.5 and 4.0 pmol photons m-zs-I,which represents less than 0.5% of the incident surface irradiance. During this time, the biomass of the algal mat was increasing indicating that net primary production was occurring despite the low ambient irradiances. By the time the samples for productivity analysis were taken (17-25 November), increases in the chl a biomass had plateaued and begun to decline (Fig. 2 ) . The biomass of Fig. 2. Growth of fast ice algal mat at a site 8 km north of Davis. Chlorophyll a biomass estimates are the mean for triplicates (* standard deviation). the sea ice algal mats during this time was between 34.1 and 153.1 mg chl a m-,. In the laboratory the algal mats were illuminated at scalar irradiances between 0.1 and 33.1 pmol photons m-' s-l. The oxygen flux across the DBL was between 0 and 0.00423 nmol 0, cm-' s-'. Using a photosynthetic quotient (ie O,/CO,) of 1.03 (Satoh & Watanabe 1988), this is equivalent to a productivity range of 0-1.78 mg C rn-, h-I. A detectable oxygen flux was only realised at irradiances above 4 pmol photons m-' s-'; this represents the compensation irradiance, Ec. The photosynthetic capacity (Pmax)was approximately 0.05 mg C (mg chl a)-' h-I. An example of oxygen measurements across the DBL of one of the mats is presented in Fig. 3. Discussion Productivity estimates of Antarctic fast ice algal mats are highly variable, extending from almost zero to over 240 mg C m-2d-' (Grossi et al. 1987). Most of this variability is due to differences in biomass and in situ irradiance, which themselves are mostly due to differences in seasonality, ice thickness, snow thickness and ice transparency (Kirst & Wiencke 1995, Trodahl & Buckley 1989). Some of the variation is, however, also almost certainly due to differences in the method of measurement used. These differences have oftenmade comparison ofresults difficult. Most studies have used the I4Cmethod (the exception being Satoh & Watanabe (1988) who used an oxygen exchange method) but some used incubation times of 4-5 h (McConville et al. 1985, Satoh & Watanabe 1988), some 12 h (Palmisano et al. 1985a) and Downloaded from https://www.cambridge.org/core. IP address: 88.99.165.207, on 31 Jul 2017 at 13:18:21, subject to the Cambridge Core terms of use, available at https://www.cambridge.org/core/terms. https://doi.org/10.1017/S0954102098000066 A. McMlNN & C. ASHWORTH 42 - 0 F 5 A I I I I 0 E Y s 8 0 10 water column pmol o2r' Fig. 3. A depth vs. oxygen recording across the DBL of a fast ice algal mat. The starting point of the depth scale is arbitrary and depends on where the first oxygen reading was made. some 24 h (Palmisano & Sullivan 1983, Grossi et al. 1987). In most studies the sea ice samples were melted into filtered sea water prior to incubation, but Grossi et al. (1987) used unmelted ice samples. In situ measurements using I4Cwere made by Palmisano et al. (1985a), McConville et al. (1985), Grossi et al. (1987) and Satoh & Watanabe (1988). Hourly productivity estimates include 7.64 mg C m-' h-' at 9 niol photons m-2s-l and 45.1 mg chl a under 5 cm of snow at Syowa in October (Satoh & Watanabe 1988) and 1.58-32.92 mg C m-2h-I at 12-38 mol photons m-' s-I and 2.72-1 5.6 mg chl a m-zbetweenNovember andDecember at Casey (McConville et al. 1985). Our chlorophyll specific production rates (at an ambient scalar irradiance of 4-6 pmol photons m-zs-I) measured by oxygen microelectrodes in the Davis mats, ie 0.001-0.042 mg C. (mg chl a)-' hl, are lower than previous Antarctic fast ice productivity estimates. These include 0.052-0.346 mg C (mg chl a)-' h-' (Palmisano et al. 1985b), 0.16-3.2 mg C (mg chl a)-' h-' (McConviHe et al. 1985), 0.03-2.96 mg C (mg chl a)-' h-' (Grossi et al. 1987) and 0.19 mg C (mg chl a)-' h-' (Satoh & Watanabe 1988). The closest values, ie 0.03 mg C (mg chl a)-I h-' at an irradiance of 6 pmol photons m-2s-I, are from the study of Grossi et al. (1987), which was the only other study to use unmelted ice samples. Smith & Herman (1991) reported nearly an order of magnitude difference between the measurements of sea ice productivity in situ (with unmelted ice samples) and in an incubator in Arctic sea ice algal mats. They attributed much of this difference to problems with tracer diffusion into the ice in the in situ estimate but also considered small differences in spectral composition, handling procedures and temperature to be contributory. However, if these results are compared with those from the Antarctic (ie here and Grossi et al. 1987) it would appear that extracting the algal cells from their natural ice environment and irradiating them suspended in either environmental chambers or bottles leads to an overestimation of in situ photosynthetic rates. In addition to the reasons suggested by Smith & Herman (199 l), it is likely that cells in the upper portion of the mat are nutrient limited and make little contribution to net photosynthesis but still contribute to the biomass. Also, the mats naturally receive a gradient of light intensity, a changing spectral composition and self shading and so it is unrealistic to separate the cells from the mat and expose each cell to a similar light intensity as happens in conventional I4C incubations. A simple calculation shows that the biomass accumulation between 25 October and 12 November, the period of mat growth, can be reasonably explained by the measured assimilation numbers (Fig. 2). The net growth rate over the 18 day period is 0.021 d-' (increase from 76.8 to 112.5 mg chl a m-z). The average assimilation number for irradiances between4 and 6 pmolphotons m-zs-I, equivalent to maximum midday under ice irradiances, is 0.012 mg C (mg chl a)-' h'. If a carbon to chlorophyll ratio of 50:l is assumed then it would only take an average of 5 h a day of under ice irradiances between 4 and 6 pmol photons m-2s-l, to achieve the net growth rate. With the photosynthesiskalar irradiance data collected from the Davis sea ice algal mat it is possible to compile a composite P-E diagram (Fig. 4). This diagram is based on data taken from several different mats, collected on different days and with differing biomasses but it is still possible to broadly determine the important photosynthetic parameters. Pmax(ie maximum chlorophyll specific production rate) is c. 0.05 mg C (mg chl a)-' h-'; E, (ie onset of saturation) is c. 14 pmol photons m 2s.', Ei,,h(ie irradiance ofphotoinhibition onset) is c. 20 pmol photons m-*s-'. The absence of data points below 4 pmol photons m-z s-', the compensation irradiance Ec, does not allow a determination of a, the photosynthetic efficiency. The closest Antarctic P-E values 0.050 7- 0.045 L C 7 4 0.040 A 3 P Y -g :. 2 E B as 0.035 4 4 0.030 0.025 4 0.020 4 4 4 0.015 0.010 4 4 4 4 0.005 LL 0.000 0.0 4 4 10.0 4 4 20.0 30.0 Scalar Inadlance (wnol photon8 m-'a-') Fig. 4. Photosynthesis vs. scalar irradiance curve. Each point represents a different oxygen-depth profile across a DBL. Sample for this profile were taken from within a few metres of each other at the same site. Downloaded from https://www.cambridge.org/core. IP address: 88.99.165.207, on 31 Jul 2017 at 13:18:21, subject to the Cambridge Core terms of use, available at https://www.cambridge.org/core/terms. https://doi.org/10.1017/S0954102098000066 40.0 MEASURING PRODUCTIVITY OF ICE ALGAE to those reported here are those from fast ice covered with 5 cm of snow at McMurdo Sound (Palmisano et al. 1985a, Palmisano & Sullivan 1985). There, P,, was 0.079 mg C (mg chl a)-'h-I, E, was approximately 5 pmol photons m-zs-' and I;, was approximately 25 pmol photons m-2s-'. Although micro oxygen electrodes have provided some interesting results, there are a number of problems and limitations associated with the technique that effect the accuracy of the productivity and photosynthetic rate measurements. A significant problem with the interpretation of our photosynthesis-scalar irradiancemeasurements derived here arises from the non-homogenous distribution of biomass withinthe algalmats (Fig. 1). The oxygen fluxmeasurements are essentially based on point readings whereas the biomass is based on 13 cm diameter ice cores. As the biomass is unevenly distributed, it is not possible to determine whether single measurements are truly representative of the biomass. Further, each incubationmeasures the photosyntheticresponse of a different community, each of which has a different degree of shelf shading, nutrient limitation etc. It is thought that these factors account for most of the scatter on the P-E diagram (Fig. 4). In future work this problem will be partly offset by replicate oxygen measurements on the same mat. The action of inserting the microelectrodes themselves into the DBL can alter the thickness of the DBL by disturbing the flow velocity around the sensor tip. This results in a thinning of the DBL by 2 5 4 5 % and a consequent modification to the oxygen flux (Glud etal. 1994). In samples where the oxygen gradient is small, such as at the ice-water interface, this modification is likely to be small (Glud et al. 1994). It is also likely to be further reduced where there is no flow velocity aroundthe sensortip, althoughthis has not yet been adequately tested. Given the various errors associated with making these oxygen flux measurements, i.e. measurement of DBL thickness, oxygen electrode sensitivity and calibration, elevation of the oxygen flux by depression of the DBL and stirring sensitivity, there is a net error associated with the method of at least f 20%. Further, not all ice environments are suitable for measurement. In much of the McMurdo Sound region, for instance, ice platelets attach to the undersurface of the ice creating a highly irregular ice-water interface where it would not be possible to measure a DBL. This method is also inappropriate for use in most surface and interior ice algal communities of the pack ice because of the difficulty of penetrating the ice matrix with the fragile electrodes. In the Davis algal mats discussed here, most of the biomass was concentrated in the lowest 2 cm of the ice (Fig. 1) and so the diffusion paths were relatively short. In sea ice with less concentrated bottom algal mats the diffusion paths will be longer resulting in a longer time necessary to establish equilibrium. There is also an apparent lower limit to the biomass for which the oxygen flux can be measured. Algal mats with a biomass of less than c. 20 mg chl a m-*evolved too 43 little oxygen for the electrodes to produce significant results and so, for instance, it would be difficult to obtain productivity estimates of algal mats in early stages of development in spring by this method. There are a number of practical difficulties as well. It is not easy to maintain an ice core in a water tank without either the ice core melting or the water freezing for lengthy periods of time and yet this is essential as it was taking between 20 min and 1 h for the DBL to reach equilibrium. In practice this results in rarely achieving more than one set of readings at a single irradiancefromany one ice core. The oxygen electrodes are also very fragile and yet in this method they are being driven into hard ice and this inevitably leads to many breakages. Taking into account the problems associated with the oxygen microelectrode method, the inherent advantages, which include the speed with which the measurements can be taken and the minimum disturbance to the immediate ice environment of the algal mat, should still ensure it becomes an alternative method for investigating sea ice algal ecology in some circumstances. 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