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Calcareous phytoplankton response to the half century of interannual climatic variability in Santa Barbara Basin (California) Bianca De Bernardi, 1 Patrizia Ziveri, 2,3 Elisabetta Erba, 1 and Robert C. Thunell 4 Received 28 May 2007; revised 24 January 2008; accepted 21 February 2008; published 4 June 2008. [1] A high-resolution study of calcareous phytoplankton in a box core from the Santa Barbara Basin (SBB) reveals floral assemblage fluctuations which can be related to climatic and paleoceanographic changes during the last half century (1940–1996). In particular, Gephyrocapsa oceanica production increased during El Nin˜o periods, in response to high temperatures, silica depletion, and increased iron availability. Conversely, Helicosphaera carteri flux increases in conjunction with lower surface temperatures associated with La Nin˜a episodes. Increasing abundances of Florisphaera profunda and Umbilicosphaera sibogae after 1970 reflect a warming trend and increased stratification within the basin associated with the warm phase of the Pacific Decadal Oscillation (PDO). Conversely, increased abundances of Coccolithus pelagicus and Calcidiscus leptoporus before 1970 mark the cold phase of PDO. These coccolithophore production rate data are consistent with instrumental records of surface and thermocline temperatures monitored since 1950. This is the first study to document the response of calcareous phytoplankton to surface water warming occurring in SBB since 1970. Citation: De Bernardi, B., P. Ziveri, E. Erba, and R. C. Thunell (2008), Calcareous phytoplankton response to the half century of interannual climatic variability in Santa Barbara Basin (California), Paleoceanography,23, PA2215, doi:10.1029/2007PA001503. 1. Introduction [2] High-resolution climate records are preserved in marine sediments accumulating in continental margin settings, particularly where conditions allow for the preservation of varved sediments, such as in Cariaco Basin, the Gulf of California, and Santa Barbara Basin (SBB). Such sediments are unique in providing year-to-year resolution for the past several thousand years [Hu¨lsemann and Emery, 1961; Soutar and Crill, 1977; Biondi et al., 1997; Berger et al., 2004]. The oceanographic conditions of SBB are strongly influenced by seasonally varying winds, affecting the intensity of the California Current. However, quasiperiodic anomalies in this pattern are associated with the El Nin˜o-Southern Oscillation. El Nin˜o is a disruption of the ocean-atmosphere system in the tropical Pacific that has important consequences for global weather patterns. Among these consequences are increased rainfall across the southern region of the United States and in Peru, which causes destructive flooding and drought in the west Pacific. During late 1997 and early 1998 the coastal ocean off western North America was anomalously warm because of one of the strongest episodes of El Nin˜o ever recorded [McPhaden, 1999]. Previous works on El Nin˜o effects in SBB have shown a deepening of the thermocline, warming of surface waters, and reduced nutrient concentrations, which together alter the plankton ecosystem. For example, a significant increase in the proportion of warm water flora and fauna and a decrease in the relative contribution of siliceous microorganisms occurred during the 1997–1998 El Nin˜o [Kincaid et al., 2000; Lange et al., 2000; Black et al., 2001]. [3] Coccolithophores form a major component of the oceanic microplankton, and they secrete calcite plates called ‘‘coccoliths.’’ Coccoliths are mainly studied in pelagic settings where they can dominate biogenic sedimentation, but they can also constitute an important part of the phytoplankton population in high-productivity coastal zones. Several studies in upwelling areas have shown a seasonally high proportion of coccolithophore export production in these settings [Sprengel et al., 2000; Beaufort and Heussner, 2001; Andruleit et al., 2003; Boeckel and Baumann, 2004]. Coccolithophores are sensitive indicators of changes in physical-chemical properties of the surface water masses and are consequently a good proxy for longerterm climatic signals preserved in sediments [Winter and Siesser, 1994; Findlay and Giraudeau, 2002; Andruleit et al., 2004]. [4] In this paper, we quantify coccolithophore accumulation rates in the SBB in response to climatic variability. In particular, we provide a detailed reconstruction of primary production relative to two distinct climatic perturbations: El Nin˜o and Pacific Decadal Oscillation (PDO). Most ecological changes in the eastern North Pacific associated with El Nin˜o and the warm PDO phase are expressed as a decline in population size and biomass and/or a northward shift of some species’ habitats [McGowan et al., 2003]. A study of sediment trap material from the SBB has highlighted changes in coccolithophore export production as well as PALEOCEANOGRAPHY, VOL. 23, PA2215, doi:10.1029/2007PA001503, 2008 1 Department of Earth Sciences ‘‘Ardito Desio,’’ University of Milan, Milan, Italy. 2 Institute of Environmental Science and Technology, Universitat Auto`noma de Barcelona, Bellaterra, Barcelona, Spain. 3 Department of Paleoclimatology and Geomorphology, Faculty of Earth and Life Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands. 4 Department of Geological Sciences, University of South Carolina, Columbia, South Carolina, USA. Copyright 2008 by the American Geophysical Union. 0883-8305/08/2007PA001503 PA2215 1of13
single-taxon changes related to the 1997–1998 El Nin˜o [De Bernardi et al., 2005], further strengthening the suitability of coccolith fluxes and assemblages composition as paleoclimatic proxies. [5] The long-term consequences of El Nin˜o and influence of PDO on calcareous nannoplankton are poorly known. Consequently, the present work aims to: (1) estimate the timing and duration of assemblage variations and (2) characterize the relationships among coccolithophore assemblage, environmental variation, and changes in other plankton groups. In order to derive quasi-annual data, a high sedimentation core (SABA9610J) was sampled at high resolution for the 1940–1996 interval. Results of a sediment trap study in the Santa Barbara Basin [De Bernardi et al., 2005] constitute the basis for deriving the intensity of El Nin˜o events and PDO phases in the last 6 decades of climatic/oceanographic fluctuations. Furthermore, these coccolithophore data are key for the reconstruction of the annual climatic fluctuation in the past. 2. Depositional and Hydrographic Conditions 2.1. Instrumental Hydrographic Records [6] The SBB is the northernmost basin of the Southern California Borderlands (Figure 1). There are two deep sills that restrict deep circulation in the basin. The first one, the Figure 1. Bathymetric map (in meters) of SBB region and schematic representation of the large-scale oceanic flow patterns (represented by arrows; not in scale) present in the Southern California Bight. Summary of seasonal synoptic circulation pattern in SBB (from Hendershott and Winant [1996], reprinted by permission) is also reported. Location of box core SABA9610J is shown by triangle. PA2215 DE BERNARDI ET AL.: PHOTOPLANKTON RESPONSE TO CLIMATE VARIABILITY 2of13 PA2215
Anacapa Sill, is located to the east between Anacapa Island and Port Hueneme (about 200 m depth) and separates SBB from Santa Monica Basin. The second one is located to the west of the basin (475 m depth) and separates it from the open ocean. These two sills limit ventilation of subsurface waters, causing dysaerobic to anoxic conditions within the deepest part of the basin. The anaerobic conditions at the seafloor drastically reduce benthic life and consequently bioturbation. Under these depositional conditions, seasonal fluctuations in sediment input are preserved as varves [Hu¨lsemann and Emery, 1961; Reimers et al., 1990; Thunell et al., 1995]. The particulate flux in SBB is clearly controlled by strong variability in seasonal atmospheric and oceanic conditions. High terrigenous flux during fall and winter is due to increased river input associated with the rainy season [Hu¨lsemann and Emery, 1961; Reimers et al., 1990; Thunell et al., 1995]. The Santa Clara and Ventura rivers deliver over 90% of the terrigenous sediment into SBB, and the source rocks are mainly clastic [Fleischer, 1972]. The biogenic opal flux, mainly diatoms, is highest in spring and dominates the annual biogenic sediment flux [Lange et al., 2000; Lange et al., 1997; Thunell, 1998]. [7] Surface water circulation in the SBB results from interaction between the California Current (relatively cold and fresh) and the California Countercurrent (relatively weak and warm flow from the southern California coast) (Figure 1). The large-scale flow is generally equatorward during the spring and poleward during the summer through winter interval, although short reversals can occur [Hendershott and Winant, 1996; Auad et al., 1998]. Strong northwest winds cause intense upwelling off Point Conception year-round, although it is strongest during spring and summer (Figure 1). Highly productive waters from the upwelling flow along the SBB southern boundary and reach the Southern California Bight through the eastern SBB entrance [Hendershott and Winant,1996].Wintersare typically mild, wet, and influenced by a weakened North American low and the migration of the North Pacific high south to 35°N[Huyer, 1983]. These opposite currents create complex mixing patterns, particularly in regions affected by strong eddies. These circulation features vary interannually in response to El Nin˜o. 2.2. El Nin˜o and PDO Along the California Margin [8] Large-scale climatic forcing, like El Nin˜o conditions in the eastern tropical Pacific Ocean, have a strong influence on the California Margin oceanographic system. El Nin˜o events are marked by increased sea surface temperature (SST), decreased atmospheric pressure at sea level, and increased rainfall along the California Margin (Figure 2). Off California, a strong El Nin˜o event is typically characterized by anomalously warm sea surface temperatures, reduced upwelling and flow of the California Current, and decreased productivity [Chavez et al., 2002a; McGowan, 1985; McGowan et al., 1998; Shipe and Brzezinski, 2001]. The influence of El Nin˜o extends to higher latitudes, mostly in wintertime, and can change the jet stream and storm track locations to a more northerly location over North America [Trenberth, 1997]. In particular, the coastal ocean off western North America was anomalously warm in 1997– 1998 because of the strongest El Nin˜o episode of the last century [McPhaden, 1999]. During this El Nin˜o, temperature and salinity of the upper 75 m changed significantly, causing an increased shoreward transport of California Current water, reduction in nutrient concentrations, and increased oxygenation of bottom waters [Chavez et al., 2002a, 1999; Dever and Winant, 2002]. In particular, temperature anomalies were exceptionally large between spring 1997 and summer 1998, 4°C higher than the previous year [Dever and Winant, 2002]. This temperature anomaly showed maximum amplitude at the surface and decreased quickly with depth and toward the north. Another multidecadal fluctuation, the PDO, has basin-wide effects on sea surface temperature and thermocline slope that are similar to El Nin˜o but on longer timescales. [9] Indeed, PDO ‘‘events’’ persist for 20 to 30 years, while typical El Nin˜o events persist for 6 to 18 months [Mantua et al., 1997]. The extreme events of the PDO have been classified as being either warm or cool phases, as defined by ocean temperature anomalies in the northeast and tropical Pacific Ocean. For example, a study of decadal variation in the California Current upwelling cells [Chhak and Di Lorenzo, 2007] has shown that during the warm phase of PDO, much of the upwelled water originates from a shallower depth (<100 m) than during the PDO cold phase (>100 m). Consequently, nutrient-rich deep waters are less likely to be vertically mixed to the surface during the warm phase compared to the cold one. 3. Materials and Methods 3.1. Core Sampling [10] Sediments were collected from the dysoxic zone of the SBB (34°13 0 N, 120°03 0 W) using a Soutar-style box corer (SABA9610J) (Figure 1). The sediment-water interface of the core was undisturbed on the basis of the presence of bacterial mats at the sediment surface. Slabs of sediment from two subcores were X-radiographed, and the varve ages were determined by correlation to cores dated with 210 Pb [Soutar and Crill, 1977; Weinheimer et al., 1999] and varve counting downward from the core top [Schimmelmann et al., 1992]. SABA9610J samples were obtained by extruding the sediment out of the acrylic tube core liner and sectioning it with a stainless steel spatula, layer by layer, as described by Schimmelmann et al. [1990]. 3.2. Coccolithophore Quantification [11] In the middle of each layer a subsample (1 mg) was taken for coccolith analyses. Each subsample was oven dried at 40°C, and the organic matter was oxidized following the procedure described by Bairbakhish et al. [1999]. Each subsample was then wet sieved under 20 mm mesh, and the <20 mm fraction was filtered on Millipore filters (HTTP 0.45 mm pore size, 47 mm diameter). A portion of the filter was mounted on a glass slide and rendered transparent with a few drops of immersion oil. For quantitative analysis of coccolithophores we used a Leitz Laborlux microscope with parallel and crossed Nicol at 1250 magnification. Coccolith accumulation rates (number coccoliths cm 2 a 1 ) were calculated by extrapolating the counted species to the entire filter area, considering the PA2215 DE BERNARDI ET AL.: PHOTOPLANKTON RESPONSE TO CLIMATE VARIABILITY 3of13 PA2215
sedimentation rate and the dry bulk density [Ziveri et al., 1999]. Coccoliths were counted along several parallel scans from the border toward the center of the filter for a total of 3mm 2 to ensure that the total number of counted coccoliths per sample was larger than 3000 and at least 300 specimens of the less common coccolith species (<2% of total assemblages) were counted. The coccolith distribution on the filter was tested following work by Lototskaya [1999] and Knappertsbusch and Brummer [1995], and the deviation is <6%. Coccolithus pelagicus fluxes calculated from the sediment trap data [De Bernardi et al., 2005] were determined using the same coccolithophore quantification method described above. Taxonomy follows work by Young et al. [1997] and Young et al. [2003]. Scanning electron Figure 2. (a) El Nin˜o’s indexes averaged in over equatorial Pacific Ocean. The event’s intensity is emphasized by shaded bars and curtailments. (b) The mean annual SSTs along California Coast at 50 and 0 m water depth of the California Current between 30°N, 124°W and 35°N, 124°W. (c) Time series of the observed Pacific Decadal Oscillation index [Mantua et al., 1997]. PA2215 DE BERNARDI ET AL.: PHOTOPLANKTON RESPONSE TO CLIMATE VARIABILITY 4of13 PA2215
microscopy (SEM) Philips XL30 was used on selected samples to determine the taxonomy of small coccoliths not identifiable by light microscope and to document coccolith preservation. 3.3. Geochemistry, Temperature Record, and Sediment Trap Data [12] Bulk inductively coupled plasma atomic emission spectrometry (ICP-AES) geochemical analyses for Al, Fe, and Zn were performed on the same samples used for coccolith analyses. For determination of elements mass concentration in the total and fine (<32 mm) fraction, 1 mg sample was used. The total and <32 mm elemental fluxes (mg cm 2 a 1 ) were quantified by extrapolating the element concentration (ppm) to the entire effective filter area and considering the sedimentation rate. Additional details of the analytical techniques, precision, and accuracy were given by Rutten et al. [2000] and Broerse [2000]. [13] To reconstruct the water temperature, we used the interpolation between NOAA’s Word Ocean Atlas [National Oceanic and Atmospheric Administration, 2005a] and California Cooperative Oceanic Fisheries Investigations (CalCOFI) (CalCOFI data are available at http://wwwmlrg.ucsd.edu) data sets. Annual average temperatures at 0 and 50 m were taken to generate the instrumental records presented in Figure 2. 3.4. El Nin˜o and PDO Indices [14] There are a number of climate indices that can be used to quantify the presence and intensity of El Nin˜o [Wolter and Timlin, 1998]. The two indices used in this study are the Multivariate El Nin˜o Index (MEI) and the Southern Oscillation Index (SOI). MEI is based on six climate variables for the tropical Pacific (MEI data are available at http://www.cdc.noaa.gov). Sustained positive values of the MEI indicate El Nin˜o episodes. These positive values are usually accompanied by warming of the central and eastern tropical Pacific Ocean and a decrease in the strength of the Pacific trade winds. Negative values of the MEI (La Nin˜a) are associated with stronger Pacific trade winds and warmer sea temperatures to the north of Australia, while waters in the central and eastern tropical Pacific Ocean become cooler. Figure 2 shows the annual average pattern of MEI from 1950 through 1996. [15] SOI is a measure of the large-scale fluctuations in air pressure difference occurring between the western and eastern tropical Pacific. Traditionally, this index has been calculated on the basis of the air pressure anomaly between Tahiti and Darwin, Australia. The negative phase of SOI represents below-normal air pressure at Tahiti and abovenormal air pressure at Darwin. Prolonged periods of negative SOI values coincide with abnormally warm ocean waters across the eastern tropical Pacific, typical of El Nin˜o episodes. Integrating these two indices, El Nin˜o conditions occurred 10 times between 1940 and 1996 (Figure 2), and the strength was determined from the average of the strength of chosen events (SOI data are available at http:// www.cdc.noaa.gov). [16] The PDO index is calculated by spatially averaging the monthly SST of the Pacific Ocean north of 20°N [Mantua et al., 1997; Zhang et al., 1997]. The resultant phases are plotted in Figure 2 along with El Nin˜o indexes and SST at 50 and 0 m water depth. 4. Results 4.1. Sediment Trap Data 1996–1998 [17] In SBB the annual coccolith assemblage is dominated by the cosmopolitan Emiliania huxleyi (80%), followed by varying contributions by Florisphaera profunda, Gephyrocapsa oceanica,Helicospahera carteri,Calcidiscus leptoporus,Umbilicosphaera sibogae,andCoccolithus pelagicus [De Bernardi et al., 2005]. The species distribution patterns are illustrated in Figure 3 and show that high abundances of F. profunda and G. oceanica characterize El Nin˜o conditions, with increases in H. carteri flux occurring during the non–El Nin˜o interval. The fluxes of C. leptoporus and C. pelagicus show fluctuations not related to El Nin˜o, but the flux of C. pelagicus was highest during the spring period of both years (Figure 3) when upwelled waters increased primary productivity in the basin. 4.2. Down-Core Data 4.2.1. Abundance and Distribution Patterns of Coccolithophores [18] Twenty-eight coccolithophore species were identified in the sediment samples representing the 56 year period from 1940 to 1996, with eight species largely dominating the flora. Individual observations by SEM on the ring elements of small placoliths and other fragile coccoliths suggest very minor carbonate dissolution and coccolith breakage in core samples. [19] The assemblages are dominated by E. huxleyi, which accounts for more than 85% of the total flora at all depths in the core (Figure 4). Emiliania huxleyi is followed in abundance by G. oceanica (0.4–5.3%), Gephyrocapsa muellerae (0.2–2.2%), H. carteri (0.3–6%), F. profunda (0.2–3%), C. leptoporus (0.3–3.7%), U. sibogae (0–5.2%), and C. pelagicus (0–1.5%). Figures 5 and 6 document the down-core variations of the eight most abundant species. In the 56 year long study interval the total coccolith flux ranged from 5.6 10 7 (1978) to 58.3 10 7 liths cm 2 a 1 (1959), with a mean value of 25.8 10 7 liths cm 2 a 1 . [20]Emiliania huxleyi shows high fluxes during 1955, 1959, and 1971. Gephyrocapsa oceanica exhibited high fluxes during 1947 (1.3 10 7 liths cm 2 a 1 ), 1958 (1.0 10 7 liths cm 2 a 1 ), 1972 (0.9 10 7 liths cm 2 a 1 ), and 1983 (1.0 10 7 liths cm 2 a 1 ), when the annual average SSTs exceeded 16°C. The highest coccolith fluxes of H. carteri are recorded during 1967 (1.7 10 7 liths cm 2 a 1 ) and 1984 (1.7 10 7 liths cm 2 a 1 ). High fluxes of this species are also registered in 1951–1954, 1959, 1962– 1963, and 1975, when the annual average SSTs were <15.50°C. Florisphaera profunda coccolith fluxes are very low from 1940 through 1967 (1.7 10 6 liths cm 2 a 1 ), but after 1970 its flux increased by up to 3 times over the longterm average (4.2 10 6 liths cm 2 a 1 ) (Figure 6) when the annual average SSTs increased 1°C relative to the previous 20 years. The abundance of C. leptoporus increased after 1947 and remained high throughout the following 20 years (4.1 10 6 liths cm 2 a 1 ). Similar to C. leptoporus trends, the abundances of C. pelagicus and G. muellerae are PA2215 DE BERNARDI ET AL.: PHOTOPLANKTON RESPONSE TO CLIMATE VARIABILITY 5of13 PA2215
generally low at the beginning of the record and then increase significantly after 1947 (1.2 10 6 liths cm 2 a 1 and 2.7 10 6 liths cm 2 a 1 , respectively). Umbilicosphaera sibogae shows a low coccolith flux until 1977 (1.1 10 6 liths cm 2 a 1 ), followed by significant increase (2.7 10 6 liths cm 2 a 1 ). 4.2.2. Elemental Analyses [21] Results of the bulk ICP-AES geochemical analyses are shown in Figure 5. Aluminum concentrations are 0.9– 9.7 mg cm 2 a 1. Fluxes of Fe and Zn vary between 1.9 and 20.1 mg cm 2 a 1 and 0.1–1.3 mg cm 2 a 1 , respectively. All three elements show very similar trends down core. In particular, strong peaks in all three occur in 1983, 1965, and 1947. Al, Fe, and Zn fluxes in the fine fraction (<32 mm) show the same trend as found in the total mass flux, although with a smaller amplitude. The element fluxes mirror the river discharge record, suggesting a terrigenous source from the adjacent continent. 5. Discussion [22] In the sections 5.1 and 5.2 we examine the response of coccolithophores to large-scale climatic conditions in the SBB region. In particular, we highlight those species that are the best proxies for El Nin˜o and PDO. 5.1. Coccolithophore Response to El Nin˜o Conditions [23] Physical effects of large-scale climatic forcing, such as El Nin˜o conditions in the eastern tropical Pacific Ocean, have a strong influence on the California Current system, including anomalous surface water warming off the North American West Coast [Collins et al., 2002] and decreased primary productivity [Chavez et al., 2002a, 2002b; McGowan et al., 1998]. A main feature of El Nin˜o conditions along the California coast is an increase in annual temperatures at all depths. For example, during the 1997–1998 El Nin˜o, maximum surface temperatures were 2°C higher than during the previous non–El Nin˜o year. Moreover, the El Nin˜o temperature anomaly extended down to 65 m water depth, where the maximum anomaly exceeded 5°C [Weinheimer et al., 1999; Dever and Winant, 2002]. The climatic change associated with El Nin˜o triggers an increase in continental input recorded in core samples as an increase in trace element fluxes (Figure 4). Chemical analyses show strong correspondence between specific elements and El Nin˜o events; this is the case for Al, Fe, and to a lesser degree Zn (for example, in 1982–1983, 1962–1963, and 1946–1947). This correspondence is presumably a consequence of increased river input due to higher rainfall in this region during El Nin˜o (Figure 4) [Thunell et al., 1995; Thunell, 1998; Johnson et al., 1999]. [24] Changes in upper ocean circulation are reflected in enhanced coccolith accumulation rates. In the sediment trap study [De Bernardi et al., 2005] the annual coccolith flux increased more than 50% (Figure 3) during the 1997–1998 El Nin˜o relative to the previous year. Similarly, the total coccolith flux shows a slight increase during (1983, 1978, and 1958) or just before (1972) El Nin˜o events. The presence of warm water masses and the weakening of spring upwelling could favor production of coccolithophores over diatoms because of silica depletion. This is consistent with the work of Tozzi et al. [2004], who found that diatoms dominate under highly turbulent regimes, while coccolithophores tend to dominate under stable, nutrient-depleted conditions. On the other hand, Beaufort and Heussner [2001] found that in the Bay of Biscay, coccolith production was not dependent on diatom production because the Figure 3. Temperature time series (isotherms are in degrees Celsius) for March 1996 through March 1998 based on biweekly conductivity-temperature-depth probe casts at the sediment trap mooring site. Profile of mixed layer depth measured during in SBB. Percentage (line, scale at left) and abundance (liths cm 2 d 1 flux bars, scale at right) of key species in the SBB during trap experiment. The El Nin˜o phase is also indicated. H indicates hiatus. PA2215 DE BERNARDI ET AL.: PHOTOPLANKTON RESPONSE TO CLIMATE VARIABILITY 6of13 PA2215
production patterns in both groups were synchronous. The duration and strength of El Nin˜o conditions could be critical for coccolithophore export production. For example, total coccolith flux seems to vary in response to the strength of El Nin˜o events, although the coccolith changes are often coeval with the transition ‘‘in’’ and ‘‘out’’ of the event and do not strictly correspond to El Nin˜o conditions (Figure 5). [25] The dominant coccolith species encountered in both trap and core sediment samples in SBB is E. huxleyi,the most abundant and ubiquitous living coccolithophore species. It is one of the most euryhaline (11–41 practical saline units) [Bukry, 1974; Winter et al., 1979] and eurythermal (1–30°C) [Okada and McIntyre, 1979] species. In this study, E. huxleyi typically shows a small increase in absolute abundance at the onset of El Nin˜o events (Figure 5). One of the common species in SBB, G. oceanica, is present throughout the non–El Nin˜o years but shows a significant increase in absolute abundance at the onset of El Nin˜o conditions (>13% more abundance than in previous year). Gephyrocapsa oceanica is known to thrive in high-nutrient environments [Mitchell-Innes and Winter, 1987; Andruleit et al., 2003] or warm marginal seas [Okada and Honjo, 1973]. This species is most abundant in the tropical Pacific between 10°Nand10°S[Roth and Coulbourn, 1982; Tanaka and Kawahata, 2001] and the Gulf of California [Ziveri and Thunell, 2000]. Moreover, in the Southern California Bight, Winter [1985] found G. oceanica associated with the poleward flowing, warm water California Countercurrent. In our SBB sediment trap study [De Bernardi et al., 2005], multiple regression analyses of environmental variables indicated that Fe and surface temperature (in the upper 20 m) explained most of the variability in G. oceanica in SBB. San˜udo-Wilhelmy et al. [2001] have also suggested that Fe availability might Figure 4. Relative abundance time series recorded in SABA core for (a) the Emiliania huxleyi and (b) the other seven most abundant coccolithophore species encountered in this study. PA2215 DE BERNARDI ET AL.: PHOTOPLANKTON RESPONSE TO CLIMATE VARIABILITY 7of13 PA2215
Figure 5. Comparison of the absolute abundance (liths 10 6 cm 2 a 1 ) of selected coccolithophore taxa recorded in core SABA9610J. The El Nin˜o events’ intensities are emphasized by shaded bars. Abundance values from sediment trap experiment during non–El Nin˜o (1996–1997) and El Nin˜o (1997–1998) conditions are present above the core section. The Al, Fe, and Zn mass flux in the total (circle) and fine (<32) (triangle) fraction are also shown. Profile of Ventura River annual discard [Schimmelmann et al., 1990] and Santa Barbara annual rainfall [National Oceanic and Atmospheric Administration, 2005b] are all shown as standard deviations of their means. PA2215 DE BERNARDI ET AL.: PHOTOPLANKTON RESPONSE TO CLIMATE VARIABILITY 8of13 PA2215
control phytoplankton productivity in oceanic regions where surface waters are relatively rich in N and P [Martin et al., 1991; Schulz et al., 2004]. It is poorly understood what portion of available iron in seawater is readily accessible to phytoplankton, and it is still difficult to assess the fraction of iron that phytoplankton can acquire [Wells and Trick, 2004; Wells et al., 1995]. In the down-core record, G. oceanica shows an increase in its flux during the El Nin˜o years, with peaks during the strong events in 1958, 1972, and in 1983, when Fe, Zn, and Al also increased (Figure 4). The high temperatures during El Nin˜o events of the last decades along with increased iron availability could have triggered the production of this species (Figure 5). Extrapolating the G. oceanica abundance values from the sediment trap results, which included non–El Nin˜o (1996– 1997) and El Nin˜o (1997–1998) conditions, it is possible to trace past changes in the occurrence and intensity of El Nin˜o in SBB (Figure 4). El Nin˜o events differ in strength, timing and spatial organization, and extra-tropical climatological and ecological responses. In our study, the intensity of past El Nin˜o events is reflected in the flux of G. oceanica, with maxima correlated to the strongest events (1958, 1972, and 1983). Also, the planktonic foraminiferal and siliceous plankton fluxes show interannual variability in response to El Nin˜o in SBB [Kincaid et al., 2000]. Lange et al. [1997] found that El Nin˜o is generally associated with a decrease in total diatom flux in SBB. A large drop in total foraminiferal flux is restricted to the 1965 and 1982–1983 El Nin˜o events [Lange et al.,1990].However,warmwaterplanktonic foraminifera and warm water diatom species actually increase their abundance during El Nin˜o [Weinheimer et al., 1999; Black et al., 2001]. [26] The flux of H. carteri increases immediately after El Nin˜o events, when La Nin˜a conditions develop and the SST is below 15.5°C (Figure 4). In particular, peaks of H. carteri were recorded in 1959, 1967, and 1984 when La Nin˜a was very strong. This species has a large water temperature tolerance [Brand, 1994] and an affinity for nutrient-enriched waters [Ziveri et al., 1995a, Andruleit and Rogalla, 2002] from temperate to tropical regions [Okada and McIntyre, Figure 6. Comparison of the absolute abundance of selected coccolithophore taxa and F. profunda/G. oceanica ratio recorded in core SABA9610J. The El Nin˜o events’ intensities are emphasized by shaded bars. Value extrapolated from sediment trap experiment during non–El Nin˜o (1996–1997) and El Nin˜o (1997–1998) conditions are present above the core section. Time series are of annual upwelling index anomaly (in cubic meters); base period is 1946–1996, which are estimates of offshore Ekman transport driven by the alongshore geotrophic wind stress [Bograd and Lynn, 2003]. Calcidiscus leptoporus size subdivision follows work by Knappertsbusch et al. [1997] and Renaud et al. [2002]. PA2215 DE BERNARDI ET AL.: PHOTOPLANKTON RESPONSE TO CLIMATE VARIABILITY 9of13 PA2215