Journal topic
Biogeosciences, 16, 3267–3282, 2019
https://doi.org/10.5194/bg-16-3267-2019
Biogeosciences, 16, 3267–3282, 2019
https://doi.org/10.5194/bg-16-3267-2019

Research article 30 Aug 2019

Research article | 30 Aug 2019

# Temporal variability in foraminiferal morphology and geochemistry at the West Antarctic Peninsula: a sediment trap study

Temporal variability in foraminiferal morphology and geochemistry at the West Antarctic Peninsula: a sediment trap study
Anna Mikis1, Katharine R. Hendry2, Jennifer Pike1, Daniela N. Schmidt2, Kirsty M. Edgar2,3, Victoria Peck4, Frank J. C. Peeters5, Melanie J. Leng6,7, Michael P. Meredith4, Chloe L. Todd2, Sharon Stammerjohn8, and Hugh Ducklow9 Anna Mikis et al.
• 1School of Earth and Ocean Sciences, Cardiff University, Main Building, Cardiff, CF10 3AT, UK
• 2School of Earth Sciences, University of Bristol, Wills Memorial Building, Queen's Road, Bristol, BS8 1RJ, UK
• 3School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
• 4British Antarctic Survey, High Cross, Madingley Road, Cambridge, CB3 0ET, UK
• 5Department of Earth Sciences, Faculty of Sciences, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, the Netherlands
• 6NERC Isotope Geosciences Facilities, British Geological Survey, Keyworth, Nottingham, NG12 5GG, UK
• 7Centre for Environmental Geochemistry, School of Biosciences, Sutton Bonington Campus, University of Nottingham, Loughborough, LE12 5RD, UK
• 8Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO 80303, USA
• 9Lamont-Doherty Earth Observatory, Columbia University, 61 Route 9W, Palisades, NY 10964-1000, USA

Correspondence: Katharine R. Hendry (k.hendry@bristol.ac.uk)

Abstract

The West Antarctic Peninsula (WAP) exhibits strong spatial and temporal oceanographic variability, resulting in highly heterogeneous biological productivity. Calcifying organisms that live in the waters off the WAP respond to temporal and spatial variations in ocean temperature and chemistry. These marine calcifiers are potentially threatened by regional climate change with waters already naturally close to carbonate undersaturation. Future projections of carbonate production in the Southern Ocean are challenging due to the lack of historical data collection and complex, decadal climate variability. Here we present a 6-year-long record of the shell fluxes, morphology and stable isotope variability of the polar planktic foraminifera Neogloboquadrina pachyderma (sensu stricto) from near Palmer Station, Antarctica. This species is fundamental to Southern Ocean planktic carbonate production as it is one of the very few planktic foraminifer species adapted to the marine polar environments. We use these new data to obtain insights into its ecology and to derive a robust assessment of the response of this polar species to environmental change. Morphology and stable isotope composition reveal the presence of different growth stages within this tightly defined species. Inter- and intra-annual variability of foraminiferal flux and size is evident and driven by a combination of environmental forcing parameters, most importantly food availability, temperature and sea ice duration and extent. Foraminiferal growth occurs throughout the austral year and is influenced by environmental change, a large portion of which is driven by the Southern Annular Mode and El Niño–Southern Oscillation. A distinct seasonal production is observed, with the highest shell fluxes during the warmest and most productive months of the year. The sensitivity of calcifying foraminifera to environmental variability in this region, from weeks to decades, has implications both for their response to future climatic change and for their use as palaeoclimate indicators. A longer ice-free season could increase carbonate production in this region at least while carbonate saturation is still high enough to allow for thick tests to grow.

1 Introduction

The West Antarctic Peninsula (WAP; Fig. 1) is a highly climatically sensitive region, characterised by strong seasonal and interannual variability in atmospheric, cryospheric and oceanographic conditions . WAP marine primary production is spatially heterogeneous and concentrated into very productive biological hotspots that feed higher trophic level organisms and rich benthic ecosystems . Biological production along the WAP responds to shifts in the seasonality of sea ice extent and water column properties, both of which are inherently linked with atmospheric and oceanographic changes and show significant spatial and temporal variability . Planktic calcifiers are important for pelagic biogeochemical cycling along the WAP. The extreme environments of the WAP make these species particularly vulnerable to seasonal and regional changes in food availability and water chemistry as a result of variable carbonate ion saturation states and overall low saturation . In addition to their ecosystem function, fossil shells of marine calcifiers from sediment cores have long been used to unravel past changes in the marine environment, based upon the assemblage composition, shell morphology and their geochemistry . For example, the oxygen isotopic composition of WAP foraminiferal calcite shells (termed tests) can be used in the reconstruction of past changes in continental ice volume and water temperature, as well as for age estimation of sediments by stratigraphic correlation .

Figure 1A map of the study area with the Palmer Long-Term Ecological Research programme (Palmer LTER) sediment trap location marked with the triangle. Grey regions show ice shelf regions. Main map is enlarged view of blue box and was made using etopo1 bathymetry.

Neogloboquadrina pachyderma is the dominant planktic foraminifer in high latitudes . Although N. pachyderma generally grow in the open ocean at pycnocline depths, there is evidence that increase in shell mass, due to addition of a calcite crust, may occur below the mixed layer down to a depth of 200 m . N. pachyderma have a maximum generation time of approximately 1 year, which culminates in the development of a thick secondary encrustation associated with gametogenesis . The species has been observed to live in sea ice brine channels under salinity conditions at least up to 58 on the practical salinity scale (Spindler1996), making its ecology unique amongst planktic foraminifers . Due to its dominance, test size changes in this species can strongly influence carbonate export in high latitudes and accumulation in the deep ocean .

Understanding the impact of a changing climate on planktic foraminifera – when superimposed on the high environmental variability of the WAP – is challenging and requires the study of long-term (decadal-scale) observations. This challenge is complicated by the fact that for a long time two genotypes of the morphospecies have been considered as one species (N. pachyderma and N. incompta – previously known as N. pachyderma (sinistral and dextral, respectively)), raising concerns about our historical understanding of the palaeoecology of the species and its use as a palaeo-proxy carrier. Further, along the WAP, two distinct genotypes of N. pachyderma sinistral have been found , but their ecological adaptations are not well understood due to the scarcity of plankton net and sediment trap data. In the Arctic, different morphotypes of the sinistral N. pachyderma (sensu stricto) have been identified from core top sediments, with distinct size distributions and geochemical signatures . Studies on an Arctic genotype of N. pachyderma under ocean acidification conditions show reduced carbonate production moderated by warming , making it difficult to predict future climate change impacts on this morphospecies. Finally, the impact of varying environmental conditions on the degree of secondary encrustation of N. pachyderma and consequent impact on geochemical proxies are poorly constrained .

To this end, we investigate the controls on N. pachyderma foraminiferal flux, morphology (including the existence of different life stages) and geochemistry using a long-term archive of foraminifera from a sediment trap moored near Palmer Station, WAP. This unique observational record allows us to address the sensitivity of foraminifera to high-frequency (weeks to decades) environmental change, how oceanographic signals are recorded in exported foraminiferal tests and implications for the use of carbonate-based palaeo-proxies in Antarctic environments.

2 Material and methods

## 2.1 Physical and biogeochemical properties and the Palmer LTER sediment trap site

The shelf adjacent to Anvers Island, WAP, is one of the key localities of the Palmer Long-Term Ecological Research programme (Palmer LTER; Fig. 1). A sediment trap (PARFLUX Mark 78H 21-sample trap, McLane Research Labs, Falmouth, MA) has been deployed at 170 m water depth (total water column depth 350 m; 6430 S, 6600 W) since 1993 . Note that the sediment trap was lost in 2009. Sea surface temperature (SST), sea ice concentration (SIC), chlorophyll a (Chl a) concentration, and organic carbon and nitrogen fluxes for the Palmer LTER site between January 2006 and January 2013 were obtained from published archives (NOAA NCEP, 2015; NSIDC, 2015; Palmer Station LTER Antarctica, 2015). The sediment trap site is typically bathed by modified Circumpolar Deep Water (CDW) upwelled onto the shelf. This CDW is overlain in winter by a thick (50–100 m) surface mixed layer of water close to the freezing point, which persists into summer as Winter Water (WW) – the cold remnant of the deep winter mixed layer. WW is capped with a thin layer of Antarctic Surface Water during stratified austral summer months, which is warmed by insolation and freshened by ice melt . Primary production on the continental shelf of the WAP is primarily driven by the seasonal cycle of sea ice, light availability (insolation), and atmospheric and oceanographic circulation . During November to February (austral summer), the Palmer LTER sediment trap is located within the outer marginal ice zone, where the availability of nutrients and the physical properties of the water column vary both temporally and spatially . This variability, in turn, leads to variations in the onset and extent of primary and export production .

Between 2006 and 2012, SST and water temperature at 100 m depth showed pronounced seasonal and inter-annual variability (SST shown in Fig. 2; Supplement). There is a strong seasonal stratification of the upper water column between late spring and early autumn throughout the time series, resulting in an increased difference between SST and temperature at 100 m water depth. SIC and sea ice duration shows a clear seasonal cycle with pronounced inter-annual variability. Peak SIC occurs from July, with the exact timing and maximum concentration varying between years. It is assumed that chlorophyll a (Chl a) concentration, a proxy for algal standing stocks, is minimal during the sea ice season (Fig. 2). Peak Chl a concentration, which also shows strong inter-annual variability, is reached after the end of the sea ice season when glacial meltwater introduces nutrients and algal cells to the surface waters, which – together with the stratified water column – promote primary productivity, especially the development of diatom blooms. The seasonal progression of Chl a in Antarctic fjords is consistent with a diatom-dominated phytoplankton (Montes-Hugo et al.2009; Cape et al.2019; Pike et al.2008, and references therein). Total organic carbon (and nitrogen) flux is lowest between April and October each year (austral winter; Fig. 2e) when the upper water column is well mixed and highest in the summer during times of maximum stratification. Variability in the organic carbon flux is also observed between the individual years throughout the record as well as within years (Fig. 2e).

Figure 2Environmental parameters plotted with foraminiferal and organic matter time series flux record from Palmer LTER sediment trap. (a) Satellite-derived weekly sea surface temperature (grey circles corresponding to midpoint of trap cup opening times); (b) sea ice concentration (SIC) at the LTER Palmer sediment trap site (purple); (c) chlorophyll a (Chl a) records from offshore Palmer Station; (d) Neogloboquadrina pachyderma sensu stricto (Nps) shell flux (blue diamonds); (e) sediment trap organic carbon flux records (green squares). AJO: April (autumn), July (winter), October (spring).

## 2.2 Foraminiferal flux measurements

Sediment trap samples were stored at 5 C until processing. Neogloboquadrina pachyderma sensu stricto (Nps) specimens from archived splits, or whole samples of picked sediment trap material, were counted using a Zeiss Stemi 2000 optical microscope at 50× magnification. Individual Nps were picked into separate holding trays and counted using a specimen tally counter.

## 2.3 Morphological measurements

Morphological analysis of the Nps specimens was carried out both manually and using an automated microscopy technique. The automated high-throughput method was used to determine the morphological character of the entire Nps population at the site. The manual method was conducted on a smaller number of individuals (maximum 50) as an independent validation of automated measurements.

## 2.4 Automated analysis

Automated analysis of bulk samples used an automated microscope and image analysis system , which scans and captures images via a 12 MP Olympus CC12 camera attached to a Wild MZ3 incident light microscope. A total of 54 samples were measured, with the number of specimens in each ranging from 6 to 3222. Analysis3.0 software was used to generate morphometric data on 21 different parameters including area, perimeter, minimum diameter, maximum diameter, aspect ratio, elongation, sphericity and mean grey value. Particles with both a sphericity shape factor below 0.4 and grey values below 50 and above 220 were subsequently excluded from analyses as these particles were not whole foraminifera but likely broken specimens or lithogenic material. A further manual inspection of the images removed any other contaminants within the sample to avoid biasing outputs. Diagnostic features of the specimens, the mean, minimum and maximum values for shell maximum diameter, mean grey scale and sphericity were calculated from the remaining individuals.

## 2.5 Manual analysis

Approximately 50 specimens per sample were fixed onto glass slides and imaged using an Olympus SZX7 transmitted light microscope equipped with a QImaging FAST 1394 camera and QCapture software. Image backgrounds were changed to black in Adobe Photoshop CC 2015. A smoothing factor of 5 was also applied to the outline of each specimen to ensure that angular lines from pixels were rounded without altering the shape of the specimens. Morphological parameters were measured using Image-Pro Plus 6.2, including area, major axis, minor axis, maximum diameter, minimum diameter, mean diameter, perimeter, roundness, length and width, as well as derived parameters such as circularity ratio, elongation ratio, box ratio and compactness coefficient.

## 2.6 Stable isotope analyses

Single-specimen isotope analysis captures the full range of growth conditions experienced during the lifetime of the foraminifera , allowing short-term variability (subannual to annual) to be assessed. However, single-specimen analysis was limited because of the low carbonate mass per individual (approximately 5 µg) and low number of individuals available for analysis to define the range confidently within a single sample. Single-specimen stable isotope analysis was only carried out on samples with at least 20 Nps specimens. Conventional multi-specimen analysis was carried out on samples from sediment trap cups where there was not a sufficient number of specimens to allow for single-specimen analysis or had an abundance of specimens to allow for additional analyses. For the multi-specimen stable isotope analysis 4 to 10 foraminiferal tests (visually inspected to be approximately 250–350 µm in size) were pooled to provide approximately 40 µg carbonate.

Prior to analysis, specimens were weighed individually on a Mettler Toledo XPR2U high-precision microbalance (±0.1µg). All stable isotope measurements were carried out at the Department of Earth Sciences of the Vrije Universiteit Amsterdam, the Netherlands, using a Finnigan GasBench II preparation device interfaced with a Finnigan Delta mass spectrometer. The mass spectrometer was calibrated through the international standard IAEA-CO-1, and gas pressure correction was carried out using the laboratory's own in-house standard VICS. The reproducibility for the present study is based upon 54 measurements of the (external) IAEA-CO-1 standard (standard mass ranging from approximately 8 to 50 µg). During the measuring period the 1 SD external reproducibility is 0.13 ‰ for δ13C and 0.11 ‰ for δ18O. All isotope measurements are reported as per mil deviation from the Vienna Pee Dee Belemnite scale (‰ VPDB).

## 2.7 Predicted δ18O calcite equilibrium and habitat depth

Equilibrium calcite δ18O (δ18O eq.) values were calculated using Eq. (1) to constrain Nps calcification depth at the sediment trap site and to determine any apparent vital effects on δ18O values:

$\begin{array}{}\text{(1)}& \begin{array}{rl}& {\mathit{\delta }}^{\mathrm{18}}\mathrm{O}\phantom{\rule{0.125em}{0ex}}\mathrm{eq}.=\mathrm{25.778}-\mathrm{3.333}×\sqrt{\left(\mathrm{43.704}+T\right)}\\ & \phantom{\rule{0.25em}{0ex}}\phantom{\rule{0.25em}{0ex}}\phantom{\rule{0.25em}{0ex}}+{\mathit{\delta }}^{\mathrm{18}}{\mathrm{O}}_{\mathrm{sw}\left(\mathrm{VPBD}\right)}+{\mathit{\delta }}^{\mathrm{18}}{\mathrm{O}}_{\mathrm{VE}},\end{array}\end{array}$

where T is the seawater temperature (C) and the δ18Osw (on the VPDB scale) is the δ18O of seawater, which we modelled and verified using published data due to the lack of year-round observations (model results and data shown in Supplement Fig. S13; ), and δ18OVE is a vital effect term added to correct for a potential constant offset (e.g. sensu Peeters et al.2002). One of our aims is to better understand the biotic impacts on δ18O of planktic foraminiferal calcite so no correction for vital effects was applied (δ18OVE was assumed to be zero). V-SMOW values were converted to the V-PDB scale corrected for the offset generated by the use of two different standardisations in Eq. (1) by subtracting 0.27 ‰ from the sea water δ18Osw value measured against the Vienna Standard Mean Ocean Water (V-SMOW) scale. V-PDB values were converted to the Standard Mean Ocean Water (SMOW) scale (Hut1987; Coplen1988), and temperature was obtained from World Ocean Atlas 13 (WOA13; Locarnini et al.2013). All new data are archived online in Mikis et al. (2019).

3 Results

## 3.1 Foraminiferal flux measurements

Neogloboquadrina pachyderma sensu stricto (Nps) was the only foraminiferal species found in the sediment trap samples. Nps test flux generally ranged over 2 orders of magnitude from zero in winter months to over 300 tests m−2 d−1 in summer (Fig. 2; Supplement Table S1). Exceptionally high fluxes of 1100–9500 tests m−2 d−1 were observed during the spring of 2010 and exceptionally low summer fluxes of 5 tests m−2 d−1 in 2008, although early summer fluxes that year were higher at 13–26 tests m−2 d−1.

Nps flux displays a double peak in some years (Fig. 2; for weekly averaged data see Supplement Fig. S1, calculated using Gyldenfeldt et al.2000), similar to that observed in the North Atlantic by and . In other years, only one clear peak can be identified similar to studies conducted in the northern end of the WAP, the Weddell Sea and in the Arctic, where a single summer peak in flux is observed . Inter-annual variability is observed in the timing of peaks in Nps flux and the amplitude, which varies by 3 orders of magnitude during the 6-year record. Inter-annual variability in Nps flux is evident from statistically determined high outliers (defined by using interquartile ranges; Table S1) that occur during January 2006; January 2007; October, November and December 2010; March 2011; January and December 2012; and in January 2013. These higher Nps flux values mostly occur during times when carbon flux is high and/or Chl a concentration is above or near 3 mg m−3, although these factors are not always associated with elevated foraminiferal flux.

## 3.2 Morphometric results

To assess the comparability of the automated and manually derived morphometric datasets, we compared the normalised maximum diameter (MD) of specimens in samples analysed by both methods (n=30; Table S5; Fig. S9) as this parameter is least impacted by specimen orientation . The data are highly correlated (R2>0.8; Fig. S10), but there is a significant difference between the median (MD) of 5 of the 30 pairs of samples. Therefore, the datasets were not combined, although both methods record the same broad-scale morphological variability (Table S6).

MD, sphericity and mean grey value, measured using automated microscopy, illustrate intra- and inter-annual variability in Nps size and calcification (Fig. 3). The spring–summer populations (October–April) are consistently larger than the winter (June–September) populations of the same year. While size varies seasonally, the sphericity, i.e. shape, remains relatively unchanged (Fig. 3) as expected in a mono-specific assemblage of predominantly round specimens. The translucency of the test, which we consider a proxy for test calcification, is indicated by the mean grey value (Fig. 3) and shows clear intra-annual variability following MD. Whilst temperature alone has no detectable influence, a combination of temperature and pH changes is known to impact calcification rate in both juvenile and adult Nps . However, as we do not have carbonate ion concentration data available for this location and time period, we will restrict the interpretation of the grey value, and so shell thickness, to calcification changes relating to ontogeny. The timing of grey value peaks (i.e. relatively thicker tests) can vary within a season, however; winter mean grey values are generally lower than the summer mean grey values in the same year (Fig. 3). We interpret this as more specimens with a thick calcite crust being collected in the summer than winter.

Figure 3Time series record of the foraminiferal morphological parameters collected by the automated analysis. (a) Mean grey values as a measure of translucency and calcification; (b) sphericity; (c) maximum diameter. AJO: April (autumn), July (winter), October (spring).

Statistical analysis was only carried out on morphometric data collected using the manual method (Fig. 4) due to the large variability present in the secondary morphological parameters calculated from surface area and MD of the automated measurements (see Supplement). Samples with the mid-date of collection period 9 December 2008, 16 May 2011, 22 February 2012 and 13 November 2013 were removed for statistical significance due to the number of specimens being below the threshold (n=15) identified through a rarefaction analysis. The log-transformed MD data of the manual measurements had a unimodal distribution (Fig. S3). The log-transformed MD dataset covering the entire time series (2006–2013) displays both statistically significant inter-annual variability (Levene's test, p<0.0001) and intra-annual variability (applied to 2012, p<0.0001) in size.

Figure 4Boxplot of (a) Nps surface area and (b) maximum diameter records collected by manual morphological analysis. Crosses represent outliers defined by interquartile range. Dashed lines are visual divisions between the years. The width of each box represents the length of time that the collection cup was open in the sediment trap; the thinnest box is 7 d, and the widest box is 92 d.

A total of 14 of the 32 samples display a non-normal distribution of size-invariant parameters. Principal component analysis (PCA) of the distributions of the four size-invariant morphological parameters that relate to shape (circularity ratio, box ratio, elongation ratio and compactness coefficient) reveals two statistically defined clusters (Fig. 5c). The two clusters may represent a pre-adult and an adult life stage , as qualitative assessment shows that one cluster lacks the distinctive calcite crust associated with gametogenesis (Fig. 5a, b).

Figure 5Scanning electron microscope images of (a) post-reproduction adult Neogloboquadrina pachyderma (with secondary crust) and (b) pre-adult morphotype (showing evidence of dissolution). (c) Example PCA biplot of 16 September 2007 normalised size-invariant morphological variables showing clustering of data points (blue circles). F1 is the first principal component axis; F2 is the second principal component axis. Proportion of variance explained by each axis shown in parentheses (further details are found in the Supplement Sect. S3).

## 3.3 Oxygen and carbon isotopic composition of Neogloboquadrina pachyderma

A range of approximately 1 ‰ is observed in the single-specimen analyses of Nps δ18O (δ18Onp) and δ13C (δ13Cnp) 2006–2013 time series (Fig. 6). δ18Onp varies between +2.77 ‰ (17 July 2012) and +3.71 ‰ (11 November 2006) and has an average value of $+\mathrm{3.29}±\mathrm{0.21}$ ‰ (1 SD). δ13Cnp varies between +0.17 ‰ (22 February 2012) and +1.02 ‰ (2 December 2012) with an average value of $+\mathrm{0.56}±\mathrm{0.20}$ ‰ (1 SD). Anderson–Darling tests for normality reveal that δ18Onp does not significantly deviate from a normal distribution (p=0.333), while δ13Cnp values appear not normally distributed (p=0.032) (Fig. S11). Note that carbonate ion concentration has only a small impact on foraminiferal δ18O (0.002 to 0.004 ‰ µmol−1 kg−1 for Globigerina bulloidesLea et al.1999) and so cannot explain the range in values observed.

Figure 6Multi-specimen and single-specimen adult Neogloboquadrina pachyderma (Nps) stable isotope dataset (VPDB) showing (a) δ18Onp (blue) and (b) δ13Cnp (red). Grey horizonal bar shows the range of calculated δ18O eq. values for the depth range 50–100 m, using seawater temperature and salinity profiles in the World Ocean Atlas 13 dataset (see Fig. S13 for comparison of calculations to measured δ18Osw profiles). Error bars show ±1SD. AJO: April (autumn), July (winter), October (spring).

Single-specimen δ18Onp exhibits statistically significant differences in variance between the samples (Levene's test, p=0.005) with austral winter (May–September) samples characterised by lower δ18Onp ratios than those collected during the summer (December–February) months (Fig. 7). There were no significant seasonal differences in variance between samples in the single-specimen δ13Cnp dataset (Levene's test, p=0.076) and no links with indicators of primary production.

Figure 7Boxplot of single-specimen (a) δ18Onp and (b) δ13Cnp (VPDB). Crosses represent outliers defined by interquartile range (horizontal line represents median). Dashed lines are visual divisions between the years. The width of each box represents the length of time that the collection cup was open in the sediment trap; the thinnest box is 7 d, and the widest box is 92 d.

4 Discussion

## 4.1 Stable isotopes and depth ranges of Neogloboquadrina pachyderma

The range of both δ13Cnp and δ18Onp values varied between the bulk and single Nps specimen analysis (Fig. 6). The multi-specimen data display only a 1 ‰ range in both isotope ratios across the record, whereas a 4 ‰ and a 2 ‰ range is recorded in the single-specimen δ18Onp and δ13Cnp samples, respectively. Comparison of the mean single-specimen δ18Onp and the multi-specimen δ18Onp (Fig. 6) from the same cup shows that the average values of single-specimen δ18Onp are in most – but not all – cases lower than multi-specimen δ18Onp. The source of this offset likely stems from how the single-specimen averages are calculated. For multi-specimen analysis, the contribution of each foraminiferal test to the final sample δ18Onp is proportional to its mass. As higher mass/larger Nps tests tend to be covered by a secondary crust precipitated at depth with higher δ18Onp , the resulting multi-specimen average δ18Onp tends to be slightly higher than the mean of the single-specimen δ18Onp.

Assuming no vital effect, the predicted δ18O eq. values at 50–100 m water depth show similar patterns to the measured δ18Onp in spring to early autumn but diverge in late autumn and into winter (Fig. 6). This observation suggests that the summer Nps calcification depth lies between 50 and 100 m and likely becomes shallower in winter (Fig. S13). This observation agrees with previous assessments in both northern and southern polar waters . However, there remains considerable uncertainty in the extent of vital effects in Nps oxygen isotope fractionation, with studies reporting both calcification in equilibrium and out of equilibrium with seawater , the latter of which can depend upon the ontogenetic stage with the secondary crust characterised by relatively high δ18O values .

## 4.2 The role of environmental variability on Neogloboquadrina pachyderma test size and morphology

A qualitative view of our flux data reveals that, whilst there are generally fewer foraminifera in winter than summer, there is also pronounced interannual variability, indicating that there are complex controls on foraminiferal flux in addition to seasonal climatologies of water column conditions. Spearman's rank analysis indicates that there are significant correlations for Nps flux only with organic carbon and organic nitrogen flux (Table S8, Fig. S10), with the highest fluxes between November and February associated with phytoplankton blooms. Both organic carbon and nitrogen fluxes correlate with other environmental parameters, such as SST, Chl a and SIC. The lack of significant correlation between Nps flux and environmental variables means that one parameter alone cannot explain the flux pattern. While temperature is commonly the dominant control on foraminiferal distribution, the range of temperatures experienced at the sediment trap site throughout the year, from +2 to 1C, is limited compared to the full temperature range of the species . Rather, it is the effects of environmental variables on food availability that determine Nps flux, as the combination of SST, Chl a and sea ice determines the strength of primary productivity. This relationship between foraminiferal flux and primary production is similar to that observed in other high-latitude regions and, indeed, globally . Sediment trap data in the North Pacific suggest that Nps fluxes are highest when the water column is well mixed and phosphate, silicate and nitrate are highest .

## 4.3 What controls morphology and geochemistry?

### 4.3.1 Relationship between Neogloboquadrina pachyderma size and single-specimen stable isotopes

Neogloboquadrina pachyderma have been shown both to exhibit a co-variation and lack of correlation between test size and stable isotope values, likely as a result of regional differences in environmental controls on the two parameters . There is a consistent size effect on both the δ18Onp and δ13Cnp across all our data (δ18Onp r=0.52; δ13Cnp r=0.23, n=191) which is only weakly maintained for δ18Onp when divided into the 150–250 µm (r=0.28, n=89) and >250µm (r=0.32, n=102) fractions. In addition, there is no significant offset between the two size fractions with mean δ18Onp values of $+\mathrm{2.72}±\mathrm{0.59}$ ‰ and $+\mathrm{3.21}±\mathrm{0.34}$ ‰ for the 150–250 and >250µm size fractions respectively (1 SD). In comparison, there is no apparent size effect on δ13Cnp (150–250 µm r=0.007, n=89; >250µm r=0.06, n=102) as expected for a non-symbiont bearing species (Fig. S14). Therefore, we can rule out size-specific kinetic/metabolic effects on δ18Onp values and suggest that size-specific differences are largely related to variable oceanographic conditions, life stage, and variability in calcification depth (discussed in Sect. 4.4).

### 4.3.2 The role of environmental variability on Neogloboquadrina pachyderma test size and morphology

PCA revealed that seasonality alone cannot explain all of the observed morphological variability (Supplement). Redundancy analysis (RDA) of the means shows a single dominant trend in the joint space of the manually collected size-normalised, size-dependent, size-invariant morphological data (see Supplement for definitions) and the environmental parameters (Fig. 8). The first canonical axis (F1, 84.9 % of the joint variation) is dominated by elongation and circularity and is negatively linked to SIC. As the dominant food of N. pachyderma is diatoms , we suggest that the presence of sea ice has an adverse effect on the population by limiting habitat size and food availability; smaller and less round specimens without a calcite crust suggest reduced frequency of gametogenesis. The second canonical axis (F2, 10 % of the joint variance) shows the opposite effects of Chl a and SST on compactness, which in turn indicates the presence of the two growth stages (Fig. 8a and b). A negative correlation is observed between the compactness and SST, nitrogen and carbon fluxes, and a positive correlation is observed between Chl a concentration and compactness (Fig. 8). These trends show the impact of primary productivity changes on the abundance of the two morphologies, where higher Chl a concentration is associated with more compact tests indicative of reproductive success and post-gametogenesis secondary calcification . Nutrient concentrations and phytoplankton availability has also been observed to influence Nps test shape and size in the North Atlantic and Arctic oceans . Additionally, the constrained and unconstrained variances of the RDA indicate that the environmental parameters observed at the sediment trap site between 2006 and 2013 are only responsible for 50 % of the morphological variability, indicating that other factors – potentially related to foraminiferal physiology or non-cryptic genetic variability – are additionally important.

## 4.4 A typical year at the Palmer LTER sediment trap site

To summarise the ecological drivers on Nps flux, size and morphology, we describe a composite year (Figs. S1, S2) divided into six distinct phases (Fig. 9) based on the intra-annual trends of Nps flux and the environmental variables.

Figure 8Redundancy analysis biplot of the means of the normalised size-dependent and size-invariant morphological data (black diamond) and the environmental parameters (red circle). Xmax – maximum diameter; Xmin – minimum diameter; B – box ratio; Rc – circularity ratio; Re – elongation ratio; C – compactness coefficient. See Table S2 for derivation of secondary morphological parameters.

### 4.4.1 Phase 1 – winter sea ice

During the Antarctic winter, Nps dwell at shallow depths, just below or within the sea ice . The lowest Nps fluxes and smallest test sizes of the year occur during the onset of winter sea ice and peak sea ice concentration (SIC). Sea ice occurs between July and October, the coldest months, and, on average, SIC peaks at the end of winter, during September, although there is some inter-annual variability. By the end of winter, seawater at 100 m water depth is warmer than at the surface due to the upward mixing of heat from modified upper CDW, the core of which is present deeper than the sediment trap depth . At the same time, salinity at depth (100 m) is increased due to brine rejection during sea ice formation, which also contributes to the deepening of the mixed layer and the erosion of stratification. Exposure to this seasonal increase in salinity is not expected to result in mortality because Nps are known to tolerate very high salinities in ice brines . However, sea ice presence also coincides with the lowest organic carbon and nitrogen fluxes, suggesting lower food availability for the foraminifera limiting growth and energy for reproduction. Specimens overwintering under these conditions appear to enter a hibernation-like state where they cease growing and do not reproduce. The lack of secondary encrustation results in more transparent tests with low δ18Onp.

### 4.4.2 Phase 2 – sea ice break-up

Spring sea ice break-up and melt results in decreased surface salinity. The onset of shallow stratification of the water column and release of nutrients from sea ice and glacial melt provides an ideal setting for diatom blooms. As a result, Chl a concentration steadily rises during this phase together with an increase in organic carbon flux. The increased food availability results in an increased Nps flux, growth to larger sizes and increases in the number of specimens which are going through their full reproductive cycle (based on test grey values). All of this evidence suggests environmental conditions become more favourable for the species, triggering a completion of their life cycle and the start of migration within the water column. Whilst melting sea ice has little impact on δ18Onp, surface glacial meltwater and precipitation results in low δ18Osw at this time of year, which would result in lower δ18Onp in surface dwelling specimens. However, by the beginning of summer as Nps migrate deeper and undergo gametogenesis, δ18Onp trends towards higher values due to lower ambient temperatures and a greater proportion of secondary calcite crust formation .

### 4.4.3 Phase 3 – summer

Highest Nps fluxes at the sediment trap site are associated with the warmest time of the year and the complete disappearance of sea ice by the end of November. Between late November and mid-January, SSTs continue to increase, and surface waters freshen, resulting in stronger surface stratification than during sea ice break-up (Phase 2). The melting sea ice and the development of shallow stratification lead to increased food availability, which is reflected in the Chl a concentration. Chl a concentration reaches its peak during this phase and remains stable and high during the summer months; organic carbon flux also increases. Inter-annual variability can be seen in both the Chl a concentration and organic carbon flux records during this phase. In late spring–early summer, Nps flux peaks. The majority of the Nps complete their full life cycle indicated by their large spherical tests with secondary calcite crust. On average, δ18Onp shows no significant offset from δ18O eq. within the well-mixed surface layer (Fig. S2). Small, relatively elongated, non-encrusted specimens are also captured by the sediment trap during late spring–early summer, albeit in small numbers. These small specimens are more transparent, have lower δ18Onp and are likely immature specimens that have not reproduced prior to mortality. Export of juvenile specimens, for example by storms, is a common mechanism that interrupts the foraminiferal life cycle .

Figure 9Summary schematic of a typical year at the Palmer sediment trap site. Colours illustrate the six phases of the annual cycle described in the main text.

### 4.4.4 Phase 4 – late summer

During the late summer phase, Nps flux decreases despite surface warming and increasing organic carbon flux, which peaks by mid-February. By this time, surface water stratification reaches its maximum and salinities their minimum due to input of glacial meltwater from the coastal region. Chl a concentration remains relatively high. δ18Onp is at its highest during the summer months, despite low seawater oxygen isotope composition throughout the habitat range of the foraminifera. This high δ18Onp reflects the largest test sizes with the highest proportion of secondary encrustation in specimens that have been through their whole life cycle. However, relatively small and translucent tests, with low δ18Onp, are also recorded in the summer months of some years (e.g. 2012), which could be interpreted as a reduction in gametogenesis due to less favourable growth conditions than those experienced by specimens that calcified during other years.

### 4.4.5 Phase 5 – autumn

By the end of summer, the Nps depth range contracts with foraminifera living closer to the sea surface. In the autumn Nps flux increases again while carbon flux and SST decrease. In response to cooling away from optimum temperatures, test sizes decline and fewer specimens reach reproductive maturity. During the second half of February, surface stratification decreases and subsurface water freshens and warms due to mixing with surface waters. The early part of this phase is characterised by a second peak in Chl a concentration, accompanied by high organic carbon flux, perhaps related to the end-of-season flux of diatom resting spores out of the surface water (e.g.  Pike et al.2009). By the end of April there is no new primary production resulting in a gradual decline of organic carbon flux. Samples from the autumn months have low δ18Onp due to the lack of secondary encrustation, as well as subsurface freshening and warming (Fig. S2).

### 4.4.6 Phase 6 – early winter

Nps fluxes are very low during early winter in response to decreasing organic carbon flux close to zero by May and sea water temperature cooling to freezing. The cooling leads to the erosion of surface water stratification and to deepening of the mixed layer. A decline in food availability results in smaller foraminiferal sizes, together with enhanced mortality rates during periods of sea ice formation . δ18Onp shows striking inter-annual variability during the winter and the largest mismatch of the year with δ18O eq.. We suggest that Nps become dormant in sea ice during the winter phase, and, hence, δ18Onp of these overwintering specimens still reflects the conditions of the preceding autumn or summer.

## 4.5 Interannual variability and extreme events: the role of the Southern Annular Mode and the El Niño–Southern Oscillation

Anomalously large numbers of Nps (approximately 9500 individuals per day, compared to an overall mean flux of 300 individuals per day) sank into the sediment trap during October and November 2010 (Fig. 2). These fluxes are unprecedented in the 6-year time series and occurred at an earlier time of the year than flux peaks in other years. The specimens were some of the largest and roundest recorded, with high δ18Onp values and a high proportion having a secondary crust. The flux, morphology and stable isotope records of this 2010 event indicate that the environmental conditions were optimal for Nps growth and reproduction. However, the reasons behind this early flux event are not immediately clear from the observed environmental parameters.

Nps flux, morphology and stable isotope composition are all closely linked to sea ice extent and food availability. Our records show that differences in the timing and amplitude of peak Nps flux between 2006 and 2012 are driven by the timing of the onset of sea ice melt. Additionally, during periods of extensive sea ice cover, smaller specimens are more abundant. In contrast, periods of high food availability (spring–summer period and/or lower sea ice concentration) and reproductive success result in higher δ18Onp. Based on these findings, the most likely explanation for the 2010 flux event is the combination of early sea ice retreat and/or low SIC and an early increase in primary production, stimulating foraminiferal growth and reproduction.

Sea ice has a complex but important relationship with the El Niño–Southern Oscillation (ENSO) and the Southern Annular Mode (SAM) (Turner2004), and some of the inter-annual variability in Nps flux, morphometric and stable isotope data may be driven by the impact of the ENSO and SAM on WAP oceanographic conditions. Increasingly positive SAM and a predominance of strong La Niña events since the 1990s (Fig. 10) resulted in the development of strong negative sea level pressure (SLP) anomalies along the WAP. This supported anomalously warm northerly winds in the Bellingshausen Sea and was associated with earlier wind-driven sea ice retreat and later sea ice advance. Conversely, positive SLP anomalies during the autumn months in the Amundsen Sea region are associated with cold southerly winds over the WAP region resulting in early sea ice advance . In 2010, a very strong, positive SAM coincided with strong La Niña-like conditions (Fig. 10; Meredith et al.2017). Early ice retreat following average sea ice conditions during the winter of 2010 (Fig. S15, see also Fig. 9 in Meredith et al.2017) resulted in optimal conditions for the very high flux of large, isotopically high, Nps specimens in the sediment trap region in the austral spring–summer season of 2010–2011.

Figure 10(a) Multi-specimen (purple) and single-specimen (pink) mean δ18Onp (error bars show ±1SD). (b) Total Nps flux (black diamonds show statistically significant outliers, defined by interquartile range). (c) Southern Annular Mode (SAM) index and (d) El Niño–Southern Oscillation (ENSO) index. The SAM index is based on the departure from the zonal means between 40 and 65 S (Marshall2003). Red sections show positive SAM, and blue sections show negative SAM. The ENSO index is based on the departure from the 1950–1993 reference period . Red sections show El Niño-like conditions, and blue sections show La Niña-like conditions. Note the co-variation between positive SAM and La Niña-like conditions; negative SAM and El Niño-like conditions; and the strong positive SAM, La Niña and high Nps flux in 2010.

In comparison to 2010, 2012 was characterised by El Niño-like conditions over the Pacific Ocean, and SAM switched to a negative mode after September 2012 . Sea ice lingered in the region around the sediment trap site until late November 2012 . Nps flux between September and December 2012 was much lower than in 2010, and specimens that calcified during this period were, on average, smaller (Fig. 10). Nps in 2012 exhibited more variable δ18Onp values but similar average degrees of calcification to 2010, indicating that those specimens that grew still succeeded in completing their life cycles despite the extended sea ice period. This reproductive success was most likely due to the high Chl a concentrations sustained by changes in wind forcing.

As anthropogenic forcings persist, it is expected that northerly winds will become more persistent and stronger in the future in response to a dominant positive SAM , creating the possibility of shorter sea ice seasons and warmer SST in the WAP region. These interactions between atmospheric oscillations, sea ice and biological production exhibit complex regional behaviour and can be localised, even between different locations along the WAP . Overall, these processes will create more favourable growing conditions for Nps along the WAP; therefore we speculate that their abundance during the spring–summer period will increase with greater reproductive success, increasing carbonate production along the WAP whilst carbonate saturation remains high enough to support thick test growth.

5 Synthesis and outlook

At the Palmer LTER sediment trap site, Nps flux displays a large peak during the late-spring–early-summer period once the sea ice has completely retreated and Chl a concentration is increasing. During this time, Nps appear to complete their full life cycle, based on their large spherical tests with secondary calcite crust indicating gametogenesis. As the phytoplankton bloom and Chl a concentration increases and Nps can sustain their energetic needs at deeper ocean depths, their flux decreases but remains relatively high from the surface waters during the summer, generally peaking again in late summer. During the austral autumn and into winter, as Chl a concentrations and SSTs decrease, and stratification begins to break down, Nps flux decreases and fewer specimens complete their life cycle. However, because Nps remain present in the surface waters (shown by their continuous presence in the trap) some specimens must be able to survive the unfavourable conditions. Nps can survive and live within the brine channels of the sea ice , potentially surviving the winter months dormant – without calcifying – until conditions become suitable for growth during early spring when sea ice begins to break up and melt. Interannual variability in foraminiferal flux and shape is linked to sea ice dynamics and food availability. Annual phases of Nps flux, morphology and stable isotope variability are modulated by extreme SAM and ENSO conditions, as seen during austral spring 2010.

Based on our improved understanding of Nps ecology we suggest that non-encrusted Nps specimens should not be combined with encrusted specimens for geochemical proxy analysis as the two different morphologies record different depth habitats and seasons. Nps proxy records that only utilise encrusted specimens will likely only reconstruct austral spring and summer conditions and may be biased towards heavier δ18O values due to secondary crust formation at depth. Conversely, smaller, non-encrusted specimens may bias towards autumn and winter conditions. Investigation of the two growth stages separately could be useful for investigating seasonality. Finally, average Nps flux during a strong positive SAM/La Niña year is much higher than average flux during a year that is not impacted by strong positive SAM and ENSO conditions, thereby overwhelming typical years in an averaged bioturbated sedimentary record and skewing palaeo-reconstructions based on foraminiferal stable isotopes.

Data availability
Data availability.

Morphometric and stable isotope data presented in this study are available at https://doi.pangaea.de/10.1594/PANGAEA.902778 (Mikis et al., 2019).

Supplement
Supplement.

Author contributions
Author contributions.

AM carried out the stable isotope and morphometric analyses. KRH and JP devised the study. DNS, KME and CLT assisted with the morphometric analyses and interpretation. FP and MJL assisted with the stable isotope analyses and interpretation. VP, MPM, SS and HD provided samples and ancillary data. All authors contributed to the preparation of the paper.

Competing interests
Competing interests.

The authors declare that they have no conflict of interest.

Acknowledgements
Acknowledgements.

The authors would like to thank all the officers and crews of the US ARSV Laurence M. Gould and all those who have been involved in recovering and deploying the Palmer LTER sediment trap throughout the years. The stable isotope analysis was carried out with the assistance of Susan Verdegaal-Warmerdam.

Financial support
Financial support.

Anna Mikis was supported by a Cardiff University President's Scholarship, and the stable isotope analysis was funded by an Antarctic Science Ltd. International Bursary awarded to Anna Mikis. The sediment trap time series has been funded by a series of awards from the US NSF Office of Polar Programs, including award PLR-1440435 to Hugh Ducklow. Katharine R. Hendry is funded by a Royal Society University Research Fellowship (grant no. UF120084), and Daniela N. Schmidt is supported by a Royal Society Wolfson Merit Award. Kirsty M. Edgar was supported by a Leverhulme Trust Early Career Fellowship.

Review statement
Review statement.

This paper was edited by Aldo Shemesh and reviewed by Gerald M. Ganssen and Sepulcre Sophie.

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