2013
DOI: 10.1016/j.palaeo.2012.06.010
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The impact of taxonomic bias when comparing past and present species diversity

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Cited by 15 publications
(16 citation statements)
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“…Our equal-spread subsampled diversity estimates demonstrate that correcting for spatial biases can yield flatter diversity trajectories relative to uncorrected data. However, we anticipate that studies of diversity in deep time will increasingly focus on quantifying species-area relationships 32 36 37 38 39 67 —which encode information about patterns of alpha, beta and gamma diversity—and how they vary through time and space. This approach will provide rich new insights about the history of biodiversity on our planet.…”
Section: Discussionmentioning
confidence: 99%
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“…Our equal-spread subsampled diversity estimates demonstrate that correcting for spatial biases can yield flatter diversity trajectories relative to uncorrected data. However, we anticipate that studies of diversity in deep time will increasingly focus on quantifying species-area relationships 32 36 37 38 39 67 —which encode information about patterns of alpha, beta and gamma diversity—and how they vary through time and space. This approach will provide rich new insights about the history of biodiversity on our planet.…”
Section: Discussionmentioning
confidence: 99%
“…Relationships between the apparent richness of fossil taxa and the palaeogeographic spread over which fossils have been collected could result from either of two non-mutually-exclusive models: (1) ‘record bias', in which species richness covaries with sampled area purely due to the confounding effect of uneven spatial sampling and species-area relationships; or (2) ‘common cause', in which Earth system processes (for example, sea-level change, tectonic activity) ultimately determine both the sizes of individual regions available for sampling and their corresponding species richness. Previous attempts to correct for variation in palaeogeographic spread 8 32 33 34 36 37 38 39 would not allow the roles of these two alternative models to be distinguished, making it difficult to determine whether the corrections were appropriate (under a record bias model) or not (under a common cause model). Nevertheless, the issue can be circumvented by drawing fossil occurrences from geographic regions of equal size through time and space before the application of richness-estimation methods.…”
mentioning
confidence: 99%
“…There is a large body of case studies demonstrating the dependence of macroecological inferences on quality of taxonomic resolution (Sheppard 1998;Genner et al 2004;Dillon and Fjeldså 2005;Mitchell and Meisterfeld 2005;Heger et al 2009;Evangelista et al 2014;Löbl and Leschen 2014). The so called taxonomic bias (Clark and May 2002;Nilsson-Ö rtmann and Nilsson 2010;Carrasco 2013) is thought to be among the most significant sources of errors and misinterpretations in macroecological studies able to distort their conclusions. Another factor that may potentially generate biased inferences is taxonomic uncertainty caused by, for example, different views of systematists on the nature of the biological species and criteria of taxa delineation (Hey et al 2003;Isaac et al 2004;Heger et al 2009).…”
mentioning
confidence: 99%
“…Different bones have varying diagnostic value throughout a skeleton, and which of those bones are most diagnostic depends on the taxonomic group in question (Polly & Head 2004; Soligo & Andrews 2005; Bell et al . 2010; Mannion & Upchurch 2010a; Zeder & Pilaar 2010; Hendy 2011; Carrasco 2013). As Mannion & Upchurch (2010a) warned, completeness as defined by SCM and CCM does not necessarily equate to quality, or diagnosability, of specific material.…”
Section: Discussionmentioning
confidence: 99%