The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Determination of the number of zones in a biostratigraphical sequence
Abstract
SUMMARY: Current methods for numerical zonation of biostratigraphic sequences neither assess the reliability of zones identified nor provide any means of determining the number of zones that are ‘significant’ (based on structure in the data set, rather than the stochastic element). These problems can be overcome by using the broken‐stick model to assess the significance of zones against a model of random distribution of zones within a sequence. The broken‐stick model is described and its application demonstrated on actual data sets. Additionally, simulation modelling is used to assess the uncertainty of the location of individual zone markers, given the errors of the original data. These widely‐applicable methods make it possible to identify zones rigorously and consistently. The potential in biostratigraphy and correlation includes the recognition, correlation and subdivision of chronostratipraphic units in long Quaternary sequences.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Statistical Analysis of Compositional Data
Aitchison, J. (1986) · doi:10.1007/978-94-009-4109-0 · Cited by 4,383
Cited by
Wolfe, A. P., Hobbs, W. O., Birks, H. H., Briner, J. P., Holmgren, S. U., Ingólfsson, Ó., Kaushal, S. S., Miller, G. H., Pagani, M., Saros, J. E., et al. (2013) · Earth-Science Reviews · doi:10.1016/j.earscirev.2012.11.001 · Cited by 190
Stutz, S., Borel, C. M., Fontana, S. L., del Puerto, L., Inda, H., García-Rodriguez, F., & Tonello, M. S. (2010) · Journal of Paleolimnology · doi:10.1007/s10933-010-9450-4 · Cited by 49
Gran Sabana fires (SE Venezuela): a paleoecological perspective
Montoya, E., & Rull, V. (2011) · Quaternary Science Reviews · doi:10.1016/j.quascirev.2011.09.005 · Cited by 40
Five centuries of changing forest vegetation in the Northeastern United States
Russell, E. W. B., & Davis, R. B. (2001) · Plant Ecology · doi:10.1023/a:1013252117853 · Cited by 24
The Legacy of Pre–Columbian Fire on the Pine–Oak Forests of Upland Guatemala
Harvey, W. J., Nogué, S., Stansell, N., Petrokofsky, G., Steinman, B., & Willis, K. J. (2019) · Frontiers in Forests and Global Change · doi:10.3389/ffgc.2019.00034 · Cited by 9
Metadata
- Authors
- BENNETT, K. D.
- Venue
- New Phytologist
- Publisher
- Wiley
- Published
- 1996-01
- Volume
- 132
- Issue
- 1
- Pages
- 155-170
- ISSN
- 0028-646X (ISSN-L)
- 1469-8137
- OpenAlex
- W2016184904
- Cited by
- 1,205
- References
- 1
- FWCI
- 3.28
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
