Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/101314
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Type: Journal article
Title: A comprehensive database of quality-rated fossil ages for Sahul’s Quaternary vertebrates
Author: Rodríguez-Rey, M.
Herrando-Pérez, S.
Brook, B.
Saltré, F.
Alroy, J.
Beeton, N.
Bird, M.
Cooper, A.
Gillespie, R.
Jacobs, Z.
Johnson, C.
Miller, G.
Prideaux, G.
Roberts, R.
Turney, C.
Bradshaw, C.
Citation: Scientific Data, 2016; 3:160053-1-160053-7
Publisher: Nature Publishing Group
Issue Date: 2016
ISSN: 2052-4463
2052-4463
Statement of
Responsibility: 
Marta Rodríguez-Rey, y, Salvador Herrando-Pérez, Barry W. Brook, Frédérik Saltré, John Alroy, Nicholas Beeton, Michael I. Bird, Alan Cooper, Richard Gillespie, Zenobia Jacobs, Christopher N. Johnson, Gifford H. Miller, Gavin J. Prideaux, Richard G. Roberts, Chris S.M. Turney and Corey J.A. Bradshaw
Abstract: The study of palaeo-chronologies using fossil data provides evidence for past ecological and evolutionary processes, and is therefore useful for predicting patterns and impacts of future environmental change. However, the robustness of inferences made from fossil ages relies heavily on both the quantity and quality of available data. We compiled Quaternary non-human vertebrate fossil ages from Sahul published up to 2013. This, the FosSahul database, includes 9,302 fossil records from 363 deposits, for a total of 478 species within 215 genera, of which 27 are from extinct and extant megafaunal species (2,559 records). We also provide a rating of reliability of individual absolute age based on the dating protocols and association between the dated materials and the fossil remains. Our proposed rating system identified 2,422 records with high-quality ages (i.e., a reduction of 74%). There are many applications of the database, including disentangling the confounding influences of hypothetical extinction drivers, better spatial distribution estimates of species relative to palaeo-climates, and potentially identifying new areas for fossil discovery.
Keywords: Palaeontology; Ecological modelling; Palaeoecology
Description: Published: 19 July 2016
Rights: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0
RMID: 0030051347
DOI: 10.1038/sdata.2016.53
Grant ID: http://purl.org/au-research/grants/arc/DP130103842
http://purl.org/au-research/grants/arc/FT110100306
http://purl.org/au-research/grants/arc/FT100100200
http://purl.org/au-research/grants/arc/FT130101728
http://purl.org/au-research/grants/arc/DP1092843
http://purl.org/au-research/grants/arc/FL140100044
http://purl.org/au-research/grants/arc/FL140100260
http://purl.org/au-research/grants/arc/FL130100116
http://purl.org/au-research/grants/arc/FL100100195
Published version: http://www.nature.com/articles/sdata201653
Appears in Collections:Environment Institute publications

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