Brett, C. E. Sequence stratigraphy, paleoecology, and evolution: biotic clues and responses to sea-level fluctuations. Palaios 13, 241–262 (1998).
Google Scholar
Brett, C. E., Hendy, A. J. W., Bartholomew, A. J., Bonelli, J. R. & McLaughlin, P. I. Response of shallow marine biotas to sea-level fluctuations: a review of faunal replacement and the process of habitat tracking. Palaios 22, 228–244 (2007).
Google Scholar
Parmesan, C. Ecological and evolutionary responses to recent climate change. Annu. Rev. Ecol. Evol. Syst. 37, 637–669 (2006).
Google Scholar
Root, T. L. et al. Fingerprints of global warming on wild animals and plants. Nature 421, 57–60 (2003).
Google Scholar
Walther, G.-R. et al. Ecological responses to recent climate change. Nature 416, 389–395 (2002).
Google Scholar
Lenoir, J. et al. Species better track climate warming in the oceans than on land. Nat. Ecol. Evol. 4, 1044–1059 (2020).
Google Scholar
Poloczanska, E. S. et al. Global imprint of climate change on marine life. Nat. Clim. Change 3, 919–925 (2013).
Google Scholar
Rillo, M. C., Woolley, S. & Hillebrand, H. Drivers of global pre‐industrial patterns of species turnover in planktonic foraminifera. Ecography 2022, e05892 (2021).
Google Scholar
Van der Putten, W. H., Macel, M. & Visser, M. E. Predicting species distribution and abundance responses to climate change: why it is essential to include biotic interactions across trophic levels. Phil. Trans. R. Soc. B 365, 2025–2034 (2010).
Google Scholar
Antão, L. H. et al. Temperature-related biodiversity change across temperate marine and terrestrial systems. Nat. Ecol. Evol. 4, 927–933 (2020).
Google Scholar
Chen, I. C. et al. Asymmetric boundary shifts of tropical montane Lepidoptera over four decades of climate warming. Glob. Ecol. Biogeogr. 20, 34–45 (2011).
Google Scholar
García Molinos, J. et al. Climate velocity and the future global redistribution of marine biodiversity. Nat. Clim. Change 6, 83–88 (2015).
Google Scholar
Beaugrand, G., Edwards, M., Raybaud, V., Goberville, E. & Kirby, R. R. Future vulnerability of marine biodiversity compared with contemporary and past changes. Nat. Clim. Change 5, 695–701 (2015).
Google Scholar
Benedetti, F. et al. Major restructuring of marine plankton assemblages under global warming. Nat. Commun. 12, 5226 (2021).
Google Scholar
Occhipinti-Ambrogi, A. Global change and marine communities: alien species and climate change. Mar. Pollut. Bull. 55, 342–352 (2007).
Google Scholar
Williams, J. W. & Jackson, S. T. Novel climates, no-analog communities, and ecological surprises. Front. Ecol. Environ. 5, 475–482 (2007).
Google Scholar
Burrows, M. T. et al. Ocean community warming responses explained by thermal affinities and temperature gradients. Nat. Clim. Change 9, 959–963 (2019).
Google Scholar
Dornelas, M. et al. BioTIME: a database of biodiversity time series for the Anthropocene. Glob. Ecol. Biogeogr. 27, 760–786 (2018).
Google Scholar
Jonkers, L. et al. Integrating palaeoclimate time series with rich metadata for uncertainty modelling: strategy and documentation of the PalMod 130k marine palaeoclimate data synthesis. Earth Syst. Sci. Data 12, 1053–1081 (2020).
Google Scholar
Buitenhuis, E. T. et al. MAREDAT: towards a world atlas of MARine Ecosystem DATa. Earth Syst. Sci. Data 5, 227–239 (2013).
Google Scholar
Yasuhara, M., Tittensor, D. P., Hillebrand, H. & Worm, B. Combining marine macroecology and palaeoecology in understanding biodiversity: microfossils as a model. Biol. Rev. 92, 199–215 (2017).
Google Scholar
Aze, T. et al. A phylogeny of Cenozoic macroperforate planktonic foraminifera from fossil data. Biol. Rev. 86, 900–927 (2011).
Google Scholar
Takagi, H. et al. Characterizing photosymbiosis in modern planktonic foraminifera. Biogeosciences 16, 3377–3396 (2019).
Google Scholar
Schiebel, R. & Hemleben, C. Planktic Foraminifers in the Modern Ocean (Springer, 2017).
Morey, A. E., Mix, A. C. & Pisias, N. G. Planktonic foraminiferal assemblages preserved in surface sediments correspond to multiple environment variables. Quat. Sci. Rev. 24, 925–950 (2005).
Google Scholar
Fenton, I. S., Pearson, P. N., Dunkley Jones, T. & Purvis, A. Environmental predictors of diversity in recent planktonic foraminifera as recorded in marine sediments. PLoS ONE 11, e0165522 (2016).
Google Scholar
Rutherford, S., D’Hondt, S. & Prell, W. Environmental controls on the geographic distribution of zooplankton diversity. Nature 400, 749–753 (1999).
Google Scholar
Tittensor, D. P. et al. Global patterns and predictors of marine biodiversity across taxa. Nature 466, 1098–1101 (2010).
Google Scholar
Yasuhara, M., Hunt, G., Dowsett, H. J., Robinson, M. M. & Stoll, D. K. Latitudinal species diversity gradient of marine zooplankton for the last three million years. Ecol. Lett. 15, 1174–1179 (2012).
Google Scholar
Yasuhara, M. et al. Past and future decline of tropical pelagic biodiversity. Proc. Natl Acad. Sci. USA 117, 12891–12896 (2020).
Google Scholar
Jonkers, L., Hillebrand, H. & Kucera, M. Global change drives modern plankton communities away from the pre-industrial state. Nature 570, 372–375 (2019).
Google Scholar
Beaugrand, G., Reid, P. C., Ibañez, F., Lindley, J. A. & Edwards, M. Reorganization of North Atlantic marine copepod biodiversity and climate. Science 296, 1692–1694 (2002).
Google Scholar
Hinder, S. L. et al. Changes in marine dinoflagellate and diatom abundance under climate change. Nat. Clim. Change 2, 271–275 (2012).
Google Scholar
Southward, A. J., Hawkins, S. J. & Burrows, M. T. Seventy years’ observations of changes in distribution and abundance of zooplankton and intertidal organisms in the western English Channel in relation to rising sea temperature. J. Therm. Biol. 20, 127–155 (1995).
Google Scholar
Fenton, I. S. et al. Triton, a new species-level database of Cenozoic planktonic foraminiferal occurrences. Sci. Data 8, 160 (2021).
Google Scholar
Kucera, M., Rosell-Melé, A., Schneider, R., Waelbroeck, C. & Weinelt, M. Multiproxy approach for the reconstruction of the glacial ocean surface (MARGO). Quat. Sci. Rev. 24, 813–819 (2005).
Kucera, M. et al. Reconstruction of sea-surface temperatures from assemblages of planktonic foraminifera: multi-technique approach based on geographically constrained calibration data sets and its application to glacial Atlantic and Pacific Oceans. Quat. Sci. Rev. 24, 951–998 (2005).
Google Scholar
Siccha, M. & Kucera, M. ForCenS, a curated database of planktonic foraminifera census counts in marine surface sediment samples. Sci. Data 4, 170109 (2017).
Google Scholar
Ezard, T. H. G., Aze, T., Pearson, P. N. & Purvis, A. Interplay between changing climate and species’ ecology drives macroevolutionary dynamics. Science 332, 349–351 (2011).
Google Scholar
Fenton, I. S. et al. The impact of Cenozoic cooling on assemblage diversity in planktonic foraminifera. Phil. Trans. R. Soc. B 371, 20150224 (2016).
Google Scholar
Lowery, C. M. & Fraass, A. J. Morphospace expansion paces taxonomic diversification after end Cretaceous mass extinction. Nat. Ecol. Evol. 3, 900–904 (2019).
Google Scholar
Wade, B. S., Pearson, P. N., Berggren, W. A. & Pälike, H. Review and revision of Cenozoic tropical planktonic foraminiferal biostratigraphy and calibration to the geomagnetic polarity and astronomical time scale. Earth Sci. Rev. 104, 111–142 (2011).
Google Scholar
Antell, G. S., Fenton, I. S., Valdes, P. J. & Saupe, E. E. Thermal niches of planktonic foraminifera are static throughout glacial-interglacial climate change. Proc. Natl. Acad. Sci. USA https://doi.org/10.1073/pnas.2017105118 (2021).
Fauth, J. E. et al. Simplifying the jargon of community ecology: a conceptual approach. Am. Nat. 147, 282–286 (1996).
Google Scholar
Jackson, S. T. & Overpeck, J. T. Responses of plant populations and communities to environmental changes of the late Quaternary. Paleobiology 26, 194–220 (2000).
Google Scholar
Bard, E., Rostek, F., Turon, J.-L. & Gendreau, S. Hydrological impact of Heinrich events in the subtropical Northeast Atlantic. Science 289, 1321–1324 (2000).
Google Scholar
Broecker, W. S. Massive iceberg discharges as triggers for global climate change. Nature 372, 421–424 (1994).
Google Scholar
Ruddiman, W. F. Late Quaternary deposition of ice-rafted sand in the subpolar North Atlantic (lat 40° to 65°N). Geol. Soc. Am. Bull. 88, 1813–1827 (1977).
Google Scholar
Hubbell, S. P. The Unified Neutral Theory of Biodiversity and Biogeography (Princeton Univ. Press, 2001).
Liow, L. H., Van Valen, L. & Stenseth, N. C. Red Queen: from populations to taxa and communities. Trends Ecol. Evol. 26, 349–358 (2011).
Google Scholar
Hillebrand, H. et al. Biodiversity change is uncoupled from species richness trends: consequences for conservation and monitoring. J. Appl. Ecol. 55, 169–184 (2018).
Google Scholar
Jackson, S. T. & Sax, D. F. Balancing biodiversity in a changing environment: extinction debt, immigration credit and species turnover. Trends Ecol. Evol. 25, 153–160 (2010).
Google Scholar
Williams, J. W., Ordonez, A. & Svenning, J. C. A unifying framework for studying and managing climate-driven rates of ecological change. Nat. Ecol. Evol. 5, 17–26 (2021).
Google Scholar
Van Meerbeeck, C. J., Renssen, H. & Roche, D. M. How did Marine Isotope Stage 3 and Last Glacial Maximum climates differ? Perspectives from equilibrium simulations. Clim. Past 5, 33–51 (2009).
Google Scholar
Jonkers, L. & Kučera, M. Global analysis of seasonality in the shell flux of extant planktonic Foraminifera. Biogeosciences 12, 2207–2226 (2015).
Google Scholar
Ofstad, S. et al. Development, productivity, and seasonality of living planktonic foraminiferal faunas and Limacina helicina in an area of intense methane seepage in the Barents Sea. J. Geophys. Res. Biogeosci. 125, e2019JG005387 (2020).
Google Scholar
Bova, S., Rosenthal, Y., Liu, Z., Godad, S. P. & Yan, M. Seasonal origin of the thermal maxima at the Holocene and the last interglacial. Nature 589, 548–553 (2021).
Google Scholar
Rillo, M. C. et al. On the mismatch in the strength of competition among fossil and modern species of planktonic Foraminifera. Glob. Ecol. Biogeogr. 28, 1866–1878 (2019).
Google Scholar
Lisiecki, L. E. & Stern, J. V. Regional and global benthic δ18O stacks for the last glacial cycle. Paleoceanography 31, 1368–1394 (2016).
Google Scholar
Reimer, P. J. et al. IntCal13 and Marine13 radiocarbon age calibration curves 0–50,000 years cal BP. Radiocarbon 55, 1869–1887 (2013).
Google Scholar
Butzin, M., Köhler, P. & Lohmann, G. Marine radiocarbon reservoir age simulations for the past 50,000 years. Geophys. Res. Lett. 44, 8473–8480 (2017).
Google Scholar
Langner, M. & Mulitza, S. Technical Note: PaleoDataView—A software toolbox for the collection, homogenization and visualization of marine proxy data. Clim 15, 2067–2072 (2019).
Mix, A. C., Bard, E. & Schneider, R. Environmental processes of the ice age: land, oceans, glaciers (EPILOG). Quat. Sci. Rev. 20, 627–657 (2001).
Google Scholar
Osman, M. B. et al. Globally resolved surface temperatures since the Last Glacial Maximum. Nature 599, 239–244 (2021).
Google Scholar
Horn, H. S. Measurement of ‘overlap’ in comparative ecological studies. Am. Nat. 100, 419–424 (1966).
Google Scholar
Jost, L., Chao, A. & Chazdon, R. L. in Biological diversity: frontiers in measurement and assessment (eds Anne E. Magurran & Brian J. McGill) 66–84 (Oxford University Press, 2011).
Ferrier, S., Manion, G., Elith, J. & Richardson, K. Using generalized dissimilarity modelling to analyse and predict patterns of beta diversity in regional biodiversity assessment. Divers. Distrib. 13, 252–264 (2007).
Google Scholar
Shannon, C. E. A mathematical theory of communication. Bell Syst. Tech. J. 27, 379–423 (1948).
Google Scholar
R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2022).
Wickham, H. et al. Welcome to the Tidyverse. J. Open Source Softw. 4, 1686 (2019).
Google Scholar
Firke, S. janitor: Simple tools for examining and cleaning dirty data. R package version 2.1.0 https://CRAN.R-project.org/package=janitor (2021).
Oksanen, J. et al. vegan: Community ecology package. R package version 2.5-7 https://CRAN.R-project.org/package=vegan (2020).
Hallett, L. M. et al. codyn: an R package of community dynamics metrics. Methods Ecol. Evol. 7, 1146–1151 (2016).
Google Scholar
Juggins, S. rioja: Analysis of quaternary science data. R package version 0.9-26 https://cran.r-project.org/package=rioja (2020).
Lê, S., Josse, J. & Husson, F. FactoMineR: an R package for multivariate analysis. J. Stat. Softw. 25, 1–18 (2008).
Google Scholar
Wickham, H. ggplot2: Elegant Graphics for Data Analysis (Springer, 2016).
Hijmans, R. J. raster: Geographic data analysis and modeling. R package version 3.4-13 https://CRAN.R-project.org/package=raster (2021).
Garnier, S. viridis: Default color maps from ‘matplotlib’. R package version 0.6.1 https://CRAN.R-project.org/package=viridis (2021.)
Locarnini, R. A. et al. World Ocean Atlas 2018, Vol. 1: Temperature. NOAA Atlas NESDIS 81 (NOAA, 2019).
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