Biogeosciences, 15, 4405–4429, 2018 https://doi.org/10.5194/bg-15-4405-2018 © Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License. Modeling seasonal and vertical habitats of planktonic foraminifera on a global scale Kerstin Kretschmer, Lukas Jonkers, Michal Kucera, and Michael Schulz MARUM – Center for Marine Environmental Sciences and Faculty of Geosciences, University of Bremen, Bremen, Germany Correspondence: Kerstin Kretschmer ([email protected]) Received: 13 October 2017 – Discussion started: 22 November 2017 Revised: 2 June 2018 – Accepted: 25 June 2018 – Published: 19 July 2018 Abstract. Species of planktonic foraminifera exhibit specific G. bulloides show a pronounced seasonal cycle in their depth seasonal production patterns and different preferred verti- habitat in the polar and subpolar regions, which appears to cal habitats. The seasonal and vertical habitats are not con- be controlled by food availability. During the warm season, stant throughout the range of the species and changes therein these species preferably occur in the subsurface (below 50 m must be considered when interpreting paleoceanographic re- of water depth), while towards the cold season they ascend constructions based on fossil foraminifera. However, detect- through the water column and are found closer to the sea ing the effect of changing vertical and seasonal habitat on surface. The warm-water species G. ruber (white) and T. foraminifera proxies requires independent evidence for ei- sacculifer exhibit a less variable shallow depth habitat with ther habitat or climate change. In practice, this renders ac- highest carbon biomass concentrations within the top 40 m counting for habitat tracking from fossil evidence almost im- of the water column. Nevertheless, even these species show possible. An alternative method that could reduce the bias vertical habitat variability and their seasonal occurrence out- in paleoceanographic reconstructions is to predict species- side the tropics is limited to the warm surface layer that de- specific habitat shifts under climate change using an ecosys- velops at the end of the warm season. The emergence in tem modeling approach. To this end, we present a new ver- PLAFOM2.0 of species-specific vertical habitats, which are sion of a planktonic foraminifera model, PLAFOM2.0, em- consistent with observations, indicates that the population bedded into the ocean component of the Community Earth dynamics of planktonic foraminifera species may be driven System Model version 1.2.2. This model predicts monthly by the same factors in time, space, and with depth, in which global concentrations of the planktonic foraminiferal species case the model can provide a reliable and robust tool to aid Neogloboquadrina pachyderma, N. incompta, Globigerina the interpretation of proxy records. bulloides, Globigerinoides ruber (white), and Trilobatus sac- culifer throughout the world ocean, resolved in 24 vertical layers to 250 m of depth. The resolution along the verti- cal dimension has been implemented by applying the pre- 1 Introduction viously used spatial parameterization of carbon biomass as a function of temperature, light, nutrition, and competition on Planktonic foraminifera are found throughout the open depth-resolved parameter fields. This approach alone results ocean, where they inhabit roughly the top 500 m of the wa- in the emergence of species-specific vertical habitats, which ter column (Fairbanks et al., 1980, 1982; Kohfeld et al., are spatially and temporally variable. Although an explicit 1996; Kemle-von Mücke and Oberhänsli, 1999; Mortyn and parameterization of the vertical dimension has not been car- Charles, 2003; Field, 2004; Kuroyanagi and Kawahata, 2004; ried out, the seasonal and vertical distribution patterns pre- Bergami et al., 2009; Wilke et al., 2009; Pados and Spielha- dicted by the model are in good agreement with sediment gen, 2014; Iwasaki et al., 2017; Rebotim et al., 2017). Their trap data and plankton tow observations. In the simulation, calcareous shells, preserved in ocean sediments, are widely the colder-water species N. pachyderma, N. incompta, and used to reconstruct past climate conditions. To do so, infor- mation about their habitat including their horizontal and ver- Published by Copernicus Publications on behalf of the European Geosciences Union. 4406 K. Kretschmer et al.: Seasonal and vertical distribution of planktonic foraminifera tical distribution is needed. It is known from observational idence for variable depth habitats at least on a regional scale data that the prevailing environmental conditions, such as has emerged from studies in other regions (Watkins et al., temperature, stratification, light intensity, and food availabil- 1998; Peeters and Brummer, 2002; Kuroyanagi and Kawa- ity, affect the growth and distribution of the individual plank- hata, 2004). tonic foraminifera (Fairbanks et al., 1980, 1982; Bijma et al., These observations underline the necessity to consider 1990b; Watkins et al., 1996; Schiebel et al., 2001; Field, species-specific habitats and their variability on a global 2004; Kuroyanagi and Kawahata, 2004; Žaric´ et al., 2005; scale to increase the reliability of paleoceanographic recon- Salmon et al., 2015; Rebotim et al., 2017). Based on strat- structions. However, a global assessment of species-specific ified plankton tow and sediment trap data the seasonal suc- depth habitat variability in time and space and the potential cession of planktonic foraminifera species has been assessed underlying control mechanisms is lacking. Since the obser- on a local or regional scale (e.g., Fairbanks and Wiebe, 1980; vational data coverage of the global ocean is too sparse to Kohfeld et al., 1996; Wilke et al., 2009; Jonkers et al., 2013; provide in this regard a broad general estimate, we apply Jonkers and Kuceraˇ , 2015), whereas for a broader regional an ecosystem modeling approach to predict the vertical and or global perspective, modeling approaches have been used seasonal distribution of planktonic foraminifera on a global to study the seasonal variations in the surface (mixed) layer scale. of the ocean (Žaric´ et al., 2006; Fraile et al., 2008; Fraile et al., 2009a,b; Lombard et al., 2011; Kretschmer et al., 2016). Comparatively less is known about the depth habi- 2 Methods tat of planktonic foraminifera species and how it varies sea- sonally. Although previous studies identified different envi- 2.1 Approach ronmental and ontogenetic factors (i.a., temperature, chloro- phyll a concentration, the lunar cycle, and/or the structure To predict the seasonally varying global species-specific of the water column), which influence the species-specific depth habitat of planktonic foraminifera, we modified depth habitats including their mean living depth and vertical the previously developed planktonic foraminifera model migration (e.g., Fairbanks and Wiebe, 1980; Fairbanks et al., PLAFOM (Fraile et al., 2008; Kretschmer et al., 2016), 1982; Schiebel et al., 2001; Simstich et al., 2003; Field, 2004; which is implemented as an off-line module into the ocean Salmon et al., 2015; Rebotim et al., 2017), the only attempt component of the Community Earth System Model ver- to model the vertical habitat is by Lombard et al.(2011). sion 1.2.2 (CESM1.2; Hurrell et al., 2013), with active ocean It is well known that species-specific habitats vary season- biogeochemistry (which is denoted as the CESM1.2(BGC) ally and spatially depending on the prevailing climatic con- configuration). This model system simulates the monthly ditions (Mix, 1987; Mulitza et al., 1998; Ganssen and Kroon, concentrations of five modern planktonic foraminiferal 2000; Skinner and Elderfield, 2005; Jonkers and Kuceraˇ , species, which are widely used in paleoceanographic recon- 2015). Yet, despite this evidence for a variable habitat, it is structions. The original approach of Fraile et al.(2008) and often assumed in paleoceanographic studies that the habitat Kretschmer et al.(2016) aimed to predict the distribution of of planktonic foraminifera is constant, i.e., that it does not planktonic foraminifera in the surface mixed layer on geo- change in time and space, potentially leading to erroneous logical timescales. This model version has been successfully estimates of past climate conditions. Jonkers and Kuceraˇ used to assess the effect of changing environmental condi- (2017) recently highlighted how foraminifera proxies are af- tions on species distributional patterns in time and space fected by habitat tracking and showed that by not account- (Fraile et al., 2009a,b; Kretschmer et al., 2016) and to aid ing for this behavior, spatial and temporal trends in proxy in interpreting paleoceanographic records regarding seasonal records may be underestimated. Given the habitat variabil- production shifts in the geological past (Kretschmer et al., ity of planktonic foraminifera, it is more than likely that a 2016), but could not provide any information about depth. climate-dependent offset from mean annual sea surface con- To implement the vertical dimension, we used an approach ditions results not only from seasonal but also from depth in which we first updated PLAFOM (hereafter referred to as habitat variability due to changes in ambient conditions. PLAFOM2.0) by including light dependency for symbiont- Such vertical habitat variability was shown by Rebotim et al. bearing planktonic foraminifera and then applied the previ- (2017), who investigated parameters controlling the depth ously