This dataset contains a compilation of published and new SNW data with corresponding environmental data extracted from CMIP6 that are used in the at depth species level Bayesian regression modelling. Environmental data for G. truncatulinoides comes from 200m depth, all other environmental data is from the sea surface (≤ 20 m).
This dataset contains a compilation of published and new SNW data with corresponding sea surface (≤ 20 m) environmental data extracted from CMIP6 that are used in the group level Bayesian regression modelling.
This dataset contains a compilation of published and new SNW data with corresponding sea surface (≤ 20 m) environmental data extracted from CMIP6 that are used in the species level Bayesian regression modelling.
New and compiled Na/Ca measurements of the planktonic foraminifera Globigerinoides ruber. The dataset contains data from foraminiferal samples 1) collected from plankton tows and sediment traps which span a wide salinity range (32.5 - 40.7 salinity units) across the Bay-of-Bengal, Arabian Sea, and Red Sea, 2) cultured in the laboratory under varying carbonate chemistry, and 3) a globally-distributed suite of core-top samples. Na/Ca was measured using both solution and laser ablation ICP-MS. The foraminiferal Na/Ca data are provided alongside environmental parameters for each sample (e.g. temperature, salinity, pH, bottom water Omega calcite), in order to assess the environmental controls on Na/Ca in foraminifera. The data accompany the following manuscript: Gray et al. (2023, doi:10.1016/j.gca.2023.03.011).
Changes in morphology during ontogeny can have profound impacts on the physiology and biology of a species. Studies of ontogenetic disparity through time are rare because of the lack of preservation of developmental stages in the fossil record. This leaves important processes difficult to address such as changes in ontogenetic disparity through the evolution of a higher taxon. As they grow by incremental chamber accretion, and retain evidence of growth in their shell, planktic foraminifera are an ideal group for the study of this process. Here, we show how different developmental stages in Jurassic foraminifers can be used to decipher the ecology and therefore infer the evolutionary implications of shape of these earliest representatives of the group. Using a Zeiss XRadia micro CT-scanner, the development of Globuligerina bathoniana and Globuligerina oxfordiana from the Bathonian sediments of Gnaszyn, Poland, and Globuligerina balakhmatovae and Globuligerina tojeiraensis from the Kimmeridgian Tojeira Formation of Portugal was reconstructed. Disparity is low through the early evolution of planktic foraminifers. The number of chambers and range in surface area per unit volume is lower than in modern specimens which we interpret as an indication of opportunistic behaviour. Strong ontogenetic constraints indicated by low plasticity during the juvenile stage noted in the modern ocean are already present in Jurassic specimens. The high surface area per unit volume points towards the need to satisfy a higher metabolic demand than is found in the adult specimens. The short life cycles and potentially rapid reproduction may have allowed these species to exploit the warm, shallow and nutrient rich waters of the Jurassic Tethys Ocean.
This table includes the new SNW data produced for this manuscript. The foraminiferal weight data is normalized using the measurement-based weight (MBW) method of Barker (2002). SNW measurements were collected from Atlantic core-tops and sediment cores for G. truncatulinoides, G. ruber, O. universa, N. pachyderma, N. incompta and G. bulloides.
Samples and Methods: Six marine sediment samples were used on total in my master thesis, covering different world oceans, to obtain as many as possible recent planktonic foraminiferal species for analysing their morphological traits. Sample origin of the samples 1: Caribbean, 2: North Atlantic, 3: Arabian-Sea, 4: South-China-Sea, 5: Norwegian-Sea and 6: North Pacific (for available metadata see the data table). Sample 1, 2 and 5 were core-top samples and were obtained from the collection of the Eberhard Karls University of Tübingen, they were obtained already processed as a resdiue >63 µm. Sample 6 another core-top sample was just used to obtain three specimen of Globoquadrina conglomerata as this species was missing in the other samples. Sample 3 and 4 (sediment-trap samples) were provided by Dr. Hartmut Schulz (University of Tübingen) and were processed with standard micropaleontological techniques during my master thesis. Sample 1, 2 and 6 are old samples from the micropalaeontological collection of the University of Tübingen and do unfortunately not have geographic location data as longitude and latitude. The aim of my master thesis was to obtain as many extant planktonic foraminiferal species as possible and extract three random specimens per species to be imaged and to investigate their morphological features. All specimens were embedded in "Utermöl"- containers with Ethanol and were imaged with a binocular microscope from below, following the method described by Brummer and Kroon (1988). The same three specimens were imaged using a Leo-1450VP scanning electron microscope (SEM), all images are given in the electronic appendix of the master thesis Baranowski (2013). All test-size measurements are preformed if possible on the SEM pictures and where impossible on the binocular microscope pictures. To be consistent the test-size diameter was measured from the middle of the last chamber through the proloculus to the opposite side of the test to obtain a consitent morphological size measurment throughout the different planktonic foraminiferal species. Acknowledgement: This dataset was published to complement the size-data used in: Rillo et al. (in submission) - I would like to thank Dr. Marina Rillo that my data could be of use for her publication. Enormously I would like to thank the two supervisors of my Master thesis: Prof. Michal Kucera (MARUM - University of Bremen) and Prof. Walter Joyce (Universite de Fribourg). Further tremendous thanks belong to Dr. Harmut Schulz (University of Tübingen) who contributed to this dataset by supporting the extensive SEM analysis and providing samples. Special thanks I would like to attribute to Prof. Geert-Jan Brummer (NIOZ, Royal Netherlands Institute for Sea Research) who helpt hugly with my understanding of the extant minute planktonic foraminiferal species. Margret Bayer, Peter Fittkau and Willfried Rönnfeld I would like to thank for technical support during the master thesis at the University of Tübingen. Dipl.-Geol. Sofie Jehle and Dipl.-Geol. Dominic Köhler I would like to thank for reading my master thesis and providing advice on academic writing, grammer and orthography. Additionally I would like to thank my PhD supervisor Dr. Tom Dunkley-Jones (University of Birmingham), Dr. Isabel Fenton (University of Oxford) and Prof. Andy Purvis (NHM, London) who brought my master thesis to Marina Rillos (University of Oldenburg) attention.
This dataset includes a compilation of new and published size-normalised weight (SNW) planktic foraminifera data, and the associated environmental data which has been extracted from the CMIP6 model ensemble. These data are used in the Bayesian regression modelling as detailed in the manuscript and are split into dataframes used in the species-level modelling and group-level modelling. The dataset includes articles on foraminiferal SNW published until the 31st October 2023 and only includes shell weights that have been normalised to the measurement-based weight (MBW) method (Barker, 2002), using diameter or silhouette area and does not include plankton tow data, samples older than 1000AD, or samples below 4000m water depth. SNW measurements in the new dataset have been collected as per the methodology of Barker (2002). Environmental data corresponds to the location of SNW data collection and the age of the data (i.e. modern or preindustrial). Carbonate ion concentration, salinity and temperature data were derived from Jiang et al. (2023). As environmental data was not available for the Mediterranean, data gaps were filled by extracting data from CESM2 following the same methodology as Jiang et al. (2023). The median of five Earth System Models (CESM2, GFDL-CM4, GFDL-ESM4, MIROC-ES2L and MRI-ESM2-0) were used to extract phosphate concentration and net primary production data.
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