Time-averaging, evolution, and morphologic variation

Abstract Many fossil assemblages are time-averaged, with multiple generations of organisms mixed into a single stratigraphic horizon. A time-averaged sample of a taxon should be more variable than a single-generation sample if enough morphologic change occurred during the interval of time-averaging. Time-averaging may also alter correlations between morphologic variables and obscure allometric relationships in an evolving population. To investigate these issues, we estimated the variability of six modern, single-generation samples of the bivalve Mercenaria campechiensis using Procrustes analysis and compared them with several time-averaged Pleistocene samples of M. campechiensis and M. permagna. Both the modern and the fossil samples ranged in variability, but these ranges were virtually identical. Morphology was quite stable over the hundreds to many thousands of years that passed as the assemblages accumulated, and the variabilities of the fossil samples could be used to estimate single-generation variability. At one fossil locality, the environment and paleocommunity changed partway through the collection interval; the morphology of Mercenaria appears stable above and below the transition but changes across it. This change is similar in magnitude to the differences between geographically separated modern populations, whereas temporal variation within single environmental settings is distinctly less than geographic variation. Analytical time-averaging (the mixing of fossils from different horizons) between paleocommunities increased variability slightly (but not significantly) above that found in living populations. While its constituent populations appear stable on millennial timescales, M. campechiensis has been evolutionarily static since at least the early to middle Pleistocene.

[1]  Alan H. Cutler,et al.  Time and taphonomy: quantitative estimates of time-averaging and stratigraphic disorder in a shallow marine habitat , 1993, Paleobiology.

[2]  G. Daley Environmentally controlled variation in shell size of Ambonychia Hall (Mollusca, Bivalvia) in the type Cincinnatian (Upper Ordovician) , 1999 .

[3]  Alan H. Cutler,et al.  Time-averaging and postmortem skeletal survival in benthic fossil assemblages: quantitative comparisons among Holocene environments , 1997, Paleobiology.

[4]  S. Kidwell Models for fossil concentrations: paleobiologic implications , 1986, Paleobiology.

[5]  Jeffrey V. Baumgartner,et al.  Utility of lacustrine deposits for the study of variation within fossil samples , 1987 .

[6]  P. Allison,et al.  Book Reviews: Taphonomy. Releasing the Data Locked in the Fossil Record. , 1991 .

[7]  F. T. Fürsich,et al.  The influence of faunal condensation and mixing on the preservation of fossil benthic communities , 1978 .

[8]  W. S. Arnold,et al.  Genotype-specific growth of hard clams (genus Mercenaria) in a hybrid zone: variation among habitats , 1996 .

[9]  A. Cheetham Tempo of evolution in a Neogene bryozoan: rates of morphologic change within and across species boundaries , 1986, Paleobiology.

[10]  Mark Wilson,et al.  PALEOSCENE #9. Taphonomic Processes: Information Loss and Information Gain , 1988 .

[11]  B. Charlesworth Some quantitative methods for studying evolutionary patterns in single characters , 1984, Paleobiology.

[12]  W. S. Arnold,et al.  High frequency of gonadal neoplasia in a hard clam (Mercenaria spp.) hybrid zone , 1993 .

[13]  Douglas S. Jones,et al.  Strontium isotope stratigraphy and age estimates for the Leisey Shell Pit faunas, Hillsborough County, Florida , 1995 .

[14]  K. Flessa,et al.  Shell survival and time‐averaging in nearshore and shelf environments: estimates from the radiocarbon literature , 1994 .

[15]  T. M. Bert,et al.  AN EMPIRICAL TEST OF PREDICTIONS OF TWO COMPETING MODELS FOR THE MAINTENANCE AND FATE OF HYBRID ZONES: BOTH MODELS ARE SUPPORTED IN A HARD‐CLAM HYBRID ZONE , 1995, Evolution; international journal of organic evolution.

[16]  F. Bookstein,et al.  Morphometric Tools for Landmark Data: Geometry and Biology , 1999 .

[17]  E. Powell,et al.  The paleoecological significance of diversity: The effect of time averaging and differential preservation on macroinvertebrate species richness in death assemblages , 1988 .

[18]  P. G. Williamson,et al.  Morphological stasis and developmental constraint: real problems for neo-Darwinism , 1981, Nature.

[19]  S. Stanley,et al.  Approximate evolutionary stasis for bivalve morphology over millions of years: a multivariate, multilineage study , 1987, Paleobiology.

[20]  T. Olszewski Taking advantage of time-averaging , 1999, Paleobiology.

[21]  L. F. Marcus,et al.  Advances in Morphometrics , 1996, NATO ASI Series.

[22]  T. Aigner,et al.  Sedimentary dynamics of complex shell beds: Implications for ecologic and evolutionary patterns , 1985 .

[23]  D. Wilson,et al.  Experimentally Induced Morphological Diversity in Trinidadian Guppies (Poecilia reticulata) , 1995 .

[24]  L. Tedesco,et al.  Production of subtidal tubular and surficial tempestites by Hurricane Kate, Caicos Platform, British West Indies , 1988 .

[25]  H. Sheets,et al.  Uncorrelated change produces the apparent dependence of evolutionary rate on interval , 2001, Paleobiology.

[26]  T. Schoener,et al.  Adaptive differentiation following experimental island colonization in Anolis lizards , 1997, nature.

[27]  R. Bader VARIABILITY AND EVOLUTIONARY RATE IN THE OREODONTS , 1955 .

[28]  Alan H. Cutler,et al.  Fossils out of sequence; computer simulations and strategies for dealing with stratigraphic disorder , 1990 .

[29]  M. Aberhan,et al.  Significance of time‐averaging for palaeocommunity analysis , 1990 .

[30]  K. Mardia,et al.  Statistical Shape Analysis , 1998 .

[31]  K. Flessa,et al.  High-resolution estimates of temporal mixing within shell beds: the evils and virtues of time-averaging , 1998, Paleobiology.

[32]  L. H. Smith Species level phenotypic variation in lower Paleozoic trilobites , 1998, Paleobiology.

[33]  R. Lande NATURAL SELECTION AND RANDOM GENETIC DRIFT IN PHENOTYPIC EVOLUTION , 1976, Evolution; international journal of organic evolution.

[34]  P. Gingerich Rates of Evolution: Effects of Time and Temporal Scaling , 1983, Science.

[35]  R. Potts,et al.  Terrestrial Ecosystems Through Time , 1993 .

[36]  R. D. Guthrie VARIABILITY IN CHARACTERS UNDERGOING RAPID EVOLUTION, AN ANALYSIS OF MICROTUS MOLARS , 1965 .

[37]  Ronald E. Martin Taphonomy : A Process Approach , 1999 .

[38]  F. Rohlf,et al.  A revolution morphometrics. , 1993, Trends in ecology & evolution.

[39]  P. G. Williamson Palaeontological documentation of speciation in Cenozoic molluscs from Turkana Basin , 1981, Nature.

[40]  J. Patton,et al.  Pocket Gophers in Alfalfa Fields: Causes and Consequences of Habitat-Related Body Size Variation , 1987, The American Naturalist.

[41]  F. Bookstein,et al.  Morphometric Tools for Landmark Data: Geometry and Biology , 1999 .

[42]  M. Kowalewski,et al.  Time-Averaging, Overcompleteness, and the Geological Record , 1996, The Journal of Geology.

[43]  S. Kidwell,et al.  Taphonomy and Time-Averaging of Marine Shelly Faunas , 1991 .

[44]  P. Roopnarine The description and classification of evolutionary mode: a computational approach , 2001, Paleobiology.