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Overprinting of taphonomic and paleoecological signals across the forest–prairie environmental gradient, mid-continent of North America

Published online by Cambridge University Press:  26 July 2018

Lauren E. Milideo ,
Russell W. Graham Open the ORCID record for Russell W. Graham [Opens in a new window] ,
Carl R. Falk ,
Holmes A. Semken Jr.  and
Max L. Christie
Lauren E. Milideo
Affiliation:
Department of Geosciences, Pennsylvania State University, University Park, Pennsylvania 16802, U.S.A. E-mail: Lauren.milideo1@gmail.com, rgraham@ems.psu.edu, mlc392@psu.edu
Russell W. Graham
Affiliation:
Department of Geosciences, Pennsylvania State University, University Park, Pennsylvania 16802, U.S.A. E-mail: Lauren.milideo1@gmail.com, rgraham@ems.psu.edu, mlc392@psu.edu
Carl R. Falk
Affiliation:
Paleocultural Research Group, Fairfield, Pennsylvania 17320, U.S.A. E-mail: crfalk1943@gmail.com
Holmes A. Semken Jr.
Affiliation:
Department of Earth and Environmental Sciences, University of Iowa, Iowa City, Iowa 52242, U.S.A. E-mail: holmes10@mchsi.com
Max L. Christie
Affiliation:
Department of Geosciences, Pennsylvania State University, University Park, Pennsylvania 16802, U.S.A. E-mail: Lauren.milideo1@gmail.com, rgraham@ems.psu.edu, mlc392@psu.edu
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Abstract

Taphonomic factors may significantly alter faunal assemblages at varying scales. An exceptional record of late Holocene (<4000 yr old) mammal faunas establishes a firm baseline to investigate the effects of scale on taphonomy. Our sample contains 73 sites within four contiguous states (North Dakota, South Dakota, Iowa, and Illinois, USA) that transect a strong modern and late Holocene environmental gradient, the prairie–forest ecotone. We performed detrended correspondence (DCA) and non-metric multidimensional scaling (NMDS) analyses. Both DCA and NMDS analyses of the data sets produced virtually the same results, and both failed to reveal the known ecological gradient within each state. However, both DCA and NMDS analyses of the unfiltered multistate data set across the entire gradient clearly reflect an environmental, rather than taphonomic, signal. DCA tended to provide better separation of some clusters than did NMDS in most of the analyses. We conclude that a robust mammal data set collected across a strong environmental gradient will document species turnover without the removal of taphonomic factors. In other words, taphonomy exhibits varying scale-dependent effects.

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Articles
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Paleobiology , Volume 44 , Issue 3 , August 2018 , pp. 546 - 559
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© 2018 The Paleontological Society. All rights reserved. 

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