Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6445455 | Quaternary Science Reviews | 2016 | 5 Pages |
Abstract
Transfer functions are valuable tools in palaeoecology, but their output may not always be meaningful. A recently-developed statistical test ('randomTF') offers the potential to distinguish among reconstructions which are more likely to be useful, and those less so. We applied this test to a large number of reconstructions of peatland water table depth based on testate amoebae. Contrary to our expectations, a substantial majority (25 of 30) of these reconstructions gave non-significant results (PÂ >Â 0.05). The underlying reasons for this outcome are unclear. We found no significant correlation between randomTF P-value and transfer function performance, the properties of the training set and reconstruction, or measures of transfer function fit. These results give cause for concern but we believe it would be extremely premature to discount the results of non-significant reconstructions. We stress the need for more critical assessment of transfer function output, replication of results and ecologically-informed interpretation of palaeoecological data.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Geology
Authors
Richard J. Payne, Kirill V. Babeshko, Simon van Bellen, Jeffrey J. Blackford, Robert K. Booth, Dan J. Charman, Megan R. Ellershaw, Daniel Gilbert, Paul D.M. Hughes, Vincent E.J. Jassey, Åukasz Lamentowicz, Mariusz Lamentowicz, Elena A. Malysheva,