Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-23T21:09:46.090Z Has data issue: false hasContentIssue false

Ephemeral species in the fossil record? Synchronous coupling of macroevolutionary dynamics in mid-Paleozoic zooplankton

Published online by Cambridge University Press:  03 February 2020

James S. Crampton
Affiliation:
School of Geography, Environment and Earth Sciences, Victoria University of Wellington, PO Box 600, Wellington6140, New Zealand. E-mail: [email protected]
Roger A. Cooper
Affiliation:
GNS Science, PO Box 30368, Lower Hutt5040, New Zealand. E-mail: [email protected]
Michael Foote
Affiliation:
Department of the Geophysical Sciences, University of Chicago, 5734 South Ellis Avenue, Chicago, Illinois60637, U.S.A. E-mail: [email protected]
Peter M. Sadler
Affiliation:
Department of Earth Sciences, University of California, Riverside, Riverside, California92521, U.S.A. E-mail: [email protected]

Abstract

We document a positive and strong correlation between speciation and extinction rates in the Paleozoic zooplankton graptoloid clade, between 481 and 419 Ma. This correlation has a magnitude of ~0.35–0.45 and manifests at a temporal resolution of <50 kyr and, for part of our data set, <25 kyr. It cannot be explained as an artifact of the method used to measure rates, sampling bias, bias resulting from construction of the time series, autocorrelation, underestimation of species durations, or undetected phyletic evolution. Correlations are approximately equal during the Ordovician and Silurian, despite the very different speciation and extinction regimes prevailing during these two periods, and correlation is strongest in the shortest-lived cohorts of species.

We infer that this correlation reflects approximately synchronous coupling of speciation and extinction in the graptoloids on timescales of a few tens of thousands of years. Almost half of graptoloid species in our data set have durations of <0.5 Myr, and previous studies have demonstrated that, during times of background extinction, short-lived species were selectively targeted by extinction. These observations may be consistent with the model of ephemeral speciation, whereby new species are inferred to form constantly and at high rate, but most of them disappear rapidly through extinction or reabsorption into the ancestral lineage. Diversity dependence with a lag of ~1 Myr, also documented elsewhere, may reflect a subsequent and relatively slow, competitive dynamic that governed those species that dispersed beyond their originating water mass and escaped the ephemeral species filter.

Type
Rapid Communication
Copyright
Copyright © The Paleontological Society. All rights reserved 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Literature Cited

Aguilée, R., Gascuel, F., Lambert, A., and Ferriere, R.. 2018. Clade diversification dynamics and the biotic and abiotic controls of speciation and extinction rates. Nature Communications 9:3013.CrossRefGoogle ScholarPubMed
Alroy, J. 1996. Constant extinction, constrained diversification, and uncoordinate stasis in North American mammals. Palaeogeography, Palaeoclimatology, Palaeoecology 127:285311.CrossRefGoogle Scholar
Birand, A., Vose, A., and Gavrilets, S.. 2012. Patterns of species ranges, speciation, and extinction. American Naturalist 179:121.CrossRefGoogle ScholarPubMed
Bond, D. P. G., and Grasby, S. E.. 2017. On the causes of mass extinctions. Palaeogeography, Palaeoclimatology, Palaeoecology 478:329.CrossRefGoogle Scholar
Burress, E. D., and Tan, M.. 2017. Ecological opportunity alters the timing and shape of adaptive radiation. Evolution 71:26502660.CrossRefGoogle ScholarPubMed
Cooper, R. A., Rigby, S., Loydell, D. K., and Bates, D. E. B.. 2012. Palaeoecology of the Graptoloidea. Earth-Science Reviews 112:2341.CrossRefGoogle Scholar
Cooper, R. A., Sadler, P. M., Munnecke, A., and Crampton, J. S.. 2013. Graptoloid evolutionary rates track Ordovician–Silurian global climate change. Geological Magazine 151:349364.CrossRefGoogle Scholar
Crampton, J. S., Cooper, R. A., Sadler, P. M., and Foote, M.. 2016. Greenhouse-icehouse transition in the Late Ordovician marks a step change in extinction regime in the marine plankton. Proceedings of the National Academy of Sciences USA 113:1498–503.CrossRefGoogle Scholar
Crampton, J. S., Meyers, S. R., Cooper, R. A., Sadler, P. M., Foote, M., and Harte, D.. 2018. Pacing of Paleozoic macroevolutionary rates by Milankovitch grand cycles. Proceedings of the National Academy of Sciences USA 115:56865691.CrossRefGoogle ScholarPubMed
Cryer, J. D., and Chan, K.-S.. 2010. Time series analysis with applications in R, 2nd ed. Springer, New York.Google Scholar
Diaz, L. F. H., Harmon, L. J., Sugawara, M. T. C., Miller, E. T., and Pennell, M. W.. 2019. Macroevolutionary diversification rates show time dependency. Proceedings of the National Academy of Sciences USA 116:74037408.CrossRefGoogle Scholar
Ebisuzaki, W. 1997. A method to estimate the statistical significance of a correlation when the data are serially correlated. Journal of Climate 10:21472153.2.0.CO;2>CrossRefGoogle Scholar
Erwin, D. H. 2006. Dates and rates: temporal resolution in the deep time stratigraphic record. Annual Review of Earth and Planetary Sciences 34:569590.CrossRefGoogle Scholar
Ezard, T. H. G., Aze, T., Pearson, P. N., and Purvis, A.. 2011. Interplay between changing climate and species’ ecology drives macroevolutionary dynamics. Science 332:349351.CrossRefGoogle ScholarPubMed
Foote, M., and Miller, A. I.. 2007. Principles of paleontology, 3rd ed. Freeman, New York.Google Scholar
Foote, M., Cooper, R. A., Crampton, J. S., and Sadler, P. M.. 2018. Diversity-dependent evolutionary rates in Early Paleozoic zooplankton. Proceedings of the Royal Society of London B 285:20180122.CrossRefGoogle Scholar
Foote, M., Sadler, P. M., Cooper, R. A., and Crampton, J. S.. 2019. Completeness of the known graptoloid palaeontological record. Journal of the Geological Society 2019:061.Google Scholar
Futuyma, D. J. 2010. Evolutionary constraint and ecological consequences. Evolution 64:18651884.CrossRefGoogle ScholarPubMed
Hannisdal, B., and Liow, L. H.. 2018. Causality from palaeontological time series. Palaeontology 61:495509.CrossRefGoogle Scholar
Harte, D. 2016. Package ‘HiddenMarkov’ 1.8-7. https://CRAN.R-project.org/package=HiddenMarkov, accessed 31 March 2018.Google Scholar
Hinnov, L. A., and Diecchio, R. J.. 2016. Milankovitch cycles in the Juniata Formation, Late Ordovician, Central Appalachian Basin, USA. Stratigraphy 12:287296.Google Scholar
Jablonski, D. 2017. Approaches to macroevoluition. 2. Sorting of variation, some overarching issues, and general conclusions. Evolutionary Biology 44:451475.CrossRefGoogle ScholarPubMed
Jaramillo, C., Rueda, M. J., and Mora, G.. 2006. Cenozoic plant diversity in the neotropics. Science 311:18931896.CrossRefGoogle ScholarPubMed
Lieberman, B. S., Miller, W., and Eldredge, N.. 2007. Paleontological patterns, macroecological dynamics and the evolutionary process. Evolutionary Biology 34:2848.CrossRefGoogle Scholar
Ma, K., Li, R., Hinnov, L. A., and Gong, Y.. 2019. Conodont biostratigraphy and astronomical tuning of the Lower–Middle Ordovician Liangjiashan (North China) and Huanghuachang (South China) marine sections. Palaeogeography, Palaeoclimatology, Palaeoecology 528:272287.CrossRefGoogle Scholar
Meier, J. I., Marques, D. A., Mwaiko, S., Wagner, C. E., Excoffier, L., and Seehausen, O.. 2017. Ancient hybridization fuels rapid cichlid fish adaptive radiations. Nature Communications 8:14363.CrossRefGoogle ScholarPubMed
Meyers, S. R. 2014. Astrochron: an R package for astrochronology. http://cran.r-project.org/package=astrochron, accessed 6 February 2019.Google Scholar
Patzkowsky, M. E., and Holland, S. M.. 2012. Stratigraphic paleobiology: understanding the distribution of fossil taxa in time and space. University of Chicago Press, Chicago.CrossRefGoogle Scholar
Rabosky, D. L. 2013. Diversity-dependence, ecological speciation, and the role of competition in macroevolution. Annual Review of Ecology, Evolution, and Systematics 44:481502.CrossRefGoogle Scholar
Rangel, T. F., Edwards, N. R., Holden, P. B., Diniz-Filho, J. A. F., Gosling, W. D., Coelho, M. T. P., Cassemiro, F. A. S., Rahbek, C., and Colwell, R. K.. 2018. Modeling the ecology and evolution of biodiversity: biogeographical cradles, museums, and graves. Science 361:eaar5452.CrossRefGoogle ScholarPubMed
Rasmussen, C. M. Ø, Kröger, B., Nielsen, M. L., and Colmenar, J.. 2019. Cascading trend of early Paleozoic marine radiations paused by Late Ordovician extinctions. Proceedings of the National Academy of Sciences USA 116:72077213.CrossRefGoogle ScholarPubMed
Raup, D. M. 1985. Mathematical models of cladogenesis. Paleobiology 11:4252.CrossRefGoogle Scholar
R Core Team. 2017. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.Google Scholar
Rhymer, J. M., and Simberloff, D.. 1996. Extinction by hybridization and introgression. Annual Review of Ecology and Systematics 27:83109.CrossRefGoogle Scholar
Rosenblum, E. B., Sarver, B. A. J., Brown, J. W., Des Roches, S., Hardwick, K. M., Hether, T. D., Eastman, J. M., Pennell, M. W., and Harmon, L. J.. 2012. Goldilocks meets Santa Rosalia: an ephemeral speciation model explains patterns of diversification across time scales. Evolutionary Biology 39:255261.CrossRefGoogle ScholarPubMed
Sadler, P. M. 2004. Quantitative biostratigraphy—achieving finer resolution in global correlation. Annual Review of Earth and Planetary Sciences 32:187213.CrossRefGoogle Scholar
Sadler, P. M., and Jerolmack, D. J.. 2014. Scaling laws for aggradation, denudation and progradation rates: the case for time-scale invariance at sediment sources and sinks. In D. G. Smith, R. J. Bailey, P. M. Burgess, and A. J. Fraser, eds. Strata and time: probing the gaps in our understanding. Geological Society Special Publication 404:6–88.Google Scholar
Sadler, P. M., Cooper, R. A., and Melchin, M. J.. 2009. High-resolution, early Paleozoic (Ordovician–Silurian) time scales. Geological Society of America Bulletin 121:887906.CrossRefGoogle Scholar
Sadler, P. M., Cooper, R. A., and Melchin, M. J.. 2011. Sequencing the graptoloid clade: building a global diversity curve from local range charts, regional composites and global time-lines. Proceedings of the Yorkshire Geological Society 58:329343.CrossRefGoogle Scholar
Sheehan, P. M. 2001. The Late Ordovician mass extinction. Annual Review of Earth and Planetary Sciences 29:331364.CrossRefGoogle Scholar
Silvestro, D., Warnock, R. C. M., Gavryushkina, A., and Stadler, T.. 2018. Closing the gap between palaeontological and neontological speciation and extinction rate estimates. Nature Communications 9:5237.CrossRefGoogle ScholarPubMed
Stanley, S. M. 1979. Macroevolution: pattern and process. Freeman, San Francisco.Google Scholar
Stanley, S. M. 1986. Population size, extinction, and speciation: the fission effect in Neogene Bivalvia. Paleobiology 12:89110.CrossRefGoogle Scholar
Stanley, S. M. 1990. The general correlation between rate of speciation and rate of extinction: fortuitous causal linkages. Pp. 103217in Ross, R. M. and Allmon, W. D., eds. Causes of evolution: a paleontological perspective. University of Chicago Press, Chicago.Google Scholar
Stanley, S. M., and Powell, M. G.. 2003. Depressed rates of origination and extinction during the late Paleozoic ice age: a new state for the global marine ecosystem. Geology 31:877880.CrossRefGoogle Scholar
Taylor, E. B., Boughman, J. W., Groenenboom, M., Sniatynski, M., Schluter, D., and Gow, J. L.. 2006. Speciation in reverse: morphological and genetic evidence of the collapse of a three-spined stickleback (Gasterosteus aculeatus) species pair. Molecular Ecology 15:343355.CrossRefGoogle ScholarPubMed
Vrba, E. S. 1993. Turnover-pulses, the Red Queen, and related topics. American Journal of Science 293-A:418452.CrossRefGoogle Scholar
Zhang, L., Thibert-Plante, X., Ripa, J., Svanbäck, R., and Brännström, Å.. 2019. Biodiversity loss through speciation collapse: mechanisms, warning signals, and possible rescue. Evolution 73:15041516.CrossRefGoogle ScholarPubMed
Žliobaitė, I., Fortelius, M., and Stenseth, N. C.. 2017. Reconciling taxon senescence with the Red Queen's hypothesis. Nature 552:92.CrossRefGoogle ScholarPubMed