Literature DB >> 16617108

Assessing the fidelity of the fossil record by using marine bivalves.

James W Valentine1, David Jablonski, Susan Kidwell, Kaustuv Roy.   

Abstract

Taxa that fail to become incorporated into the fossil record can reveal much about the biases of this record and provide the information needed to correct such biases in empirical analyses of the history of life. Yet little is known about the characteristics of taxa missing from the fossil record. For the marine Bivalvia, which have become a model system for macroevolutionary and macroecological analysis in the fossil record, 308 of the 1,292 living genera and subgenera (herein termed "taxa") are not recorded as fossils. These missing taxa are not a random sample of the clade, but instead tend to have small body size, reactive shell structures, commensal or parasitic habit, deep-sea distribution, narrow geographic range, restriction to regions exposing few Neogene marine sediments, or recent date of formal taxonomic description in the neontological literature. Most missing taxa show two or more of these features and tend to be concentrated in particular families. When we exclude the smallest taxa (<1 cm) and deep-sea endemics, date of published description and geographic range become the strongest predictors of the missing taxa; other factors are statistically insignificant or have relatively small effects. These biases might influence a variety of analyses including the use of fossil data in support of phylogenetic analyses, molecular clock calibrations, and analyses of spatial and temporal dynamics of clades and biotas. Clade inventories such as these can be used to develop protocols that minimize the biases imposed by sampling and preservation.

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Year:  2006        PMID: 16617108      PMCID: PMC1458929          DOI: 10.1073/pnas.0601264103

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  7 in total

1.  Invariant size-frequency distributions along a latitudinal gradient in marine bivalves.

Authors:  K Roy; D Jablonski; K K Martien
Journal:  Proc Natl Acad Sci U S A       Date:  2000-11-21       Impact factor: 11.205

2.  Paleoecology. Measuring past biodiversity.

Authors:  J B Jackson; K G Johnson
Journal:  Science       Date:  2001-09-28       Impact factor: 47.728

3.  The impact of the pull of the recent on the history of marine diversity.

Authors:  David Jablonski; Kaustuv Roy; James W Valentine; Rebecca M Price; Philip S Anderson
Journal:  Science       Date:  2003-05-16       Impact factor: 47.728

4.  Estimating the rock volume bias in paleobiodiversity studies.

Authors:  James S Crampton; Alan G Beu; Roger A Cooper; Craig M Jones; Bruce Marshall; Phillip A Maxwell
Journal:  Science       Date:  2003-06-12       Impact factor: 47.728

5.  Estimating metazoan divergence times with a molecular clock.

Authors:  Kevin J Peterson; Jessica B Lyons; Kristin S Nowak; Carter M Takacs; Matthew J Wargo; Mark A McPeek
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-14       Impact factor: 11.205

6.  Shell composition has no net impact on large-scale evolutionary patterns in mollusks.

Authors:  Susan M Kidwell
Journal:  Science       Date:  2005-02-11       Impact factor: 47.728

Review 7.  Protobranch bivalves.

Authors:  John D Zardus
Journal:  Adv Mar Biol       Date:  2002       Impact factor: 5.143

  7 in total
  17 in total

1.  Genus age, provincial area and the taxonomic structure of marine faunas.

Authors:  Paul G Harnik; David Jablonski; Andrew Z Krug; James W Valentine
Journal:  Proc Biol Sci       Date:  2010-06-09       Impact factor: 5.349

2.  Species-genus ratios reflect a global history of diversification and range expansion in marine bivalves.

Authors:  Andrew Z Krug; David Jablonski; James W Valentine
Journal:  Proc Biol Sci       Date:  2008-05-22       Impact factor: 5.349

3.  Colloquium paper: extinction and the spatial dynamics of biodiversity.

Authors:  David Jablonski
Journal:  Proc Natl Acad Sci U S A       Date:  2008-08-11       Impact factor: 11.205

4.  Out of the tropics, but how? Fossils, bridge species, and thermal ranges in the dynamics of the marine latitudinal diversity gradient.

Authors:  David Jablonski; Christina L Belanger; Sarah K Berke; Shan Huang; Andrew Z Krug; Kaustuv Roy; Adam Tomasovych; James W Valentine
Journal:  Proc Natl Acad Sci U S A       Date:  2013-06-12       Impact factor: 11.205

5.  Direct and indirect effects of biological factors on extinction risk in fossil bivalves.

Authors:  Paul G Harnik
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-01       Impact factor: 11.205

6.  Convergence, divergence, and parallelism in marine biodiversity trends: Integrating present-day and fossil data.

Authors:  Shan Huang; Kaustuv Roy; James W Valentine; David Jablonski
Journal:  Proc Natl Acad Sci U S A       Date:  2015-04-21       Impact factor: 11.205

7.  Probabilistic models of species discovery and biodiversity comparisons.

Authors:  Stewart M Edie; Peter D Smits; David Jablonski
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-21       Impact factor: 11.205

8.  Speciation and extinction drive the appearance of directional range size evolution in phylogenies and the fossil record.

Authors:  Alex L Pigot; Ian P F Owens; C David L Orme
Journal:  PLoS Biol       Date:  2012-02-21       Impact factor: 8.029

9.  Complementarity, completeness and quality of long-term faunal archives in an Asian biodiversity hotspot.

Authors:  Samuel T Turvey; Connor Walsh; James P Hansford; Jennifer J Crees; Jon Bielby; Clare Duncan; Kaijin Hu; Michael A Hudson
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-11-04       Impact factor: 6.237

10.  Towards quantifying the mass extinction debt of the Anthropocene.

Authors:  Christopher Spalding; Pincelli M Hull
Journal:  Proc Biol Sci       Date:  2021-04-28       Impact factor: 5.349

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