The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
Zero tolerance ecology: improving ecological inference by modelling the source of zero observations
Abstract
A common feature of ecological data sets is their tendency to contain many zero values. Statistical inference based on such data are likely to be inefficient or wrong unless careful thought is given to how these zeros arose and how best to model them. In this paper, we propose a framework for understanding how zero‐inflated data sets originate and deciding how best to model them. We define and classify the different kinds of zeros that occur in ecological data and describe how they arise: either from ‘true zero’ or ‘false zero’ observations. After reviewing recent developments in modelling zero‐inflated data sets, we use practical examples to demonstrate how failing to account for the source of zero inflation can reduce our ability to detect relationships in ecological data and at worst lead to incorrect inference. The adoption of methods that explicitly model the sources of zero observations will sharpen insights and improve the robustness of ecological analyses.
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Cited by
VARIATION PARTITIONING OF SPECIES DATA MATRICES: ESTIMATION AND COMPARISON OF FRACTIONS
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Metadata
- Authors
- Martin, T. G., Wintle, B. A., Rhodes, J. R., Kuhnert, P. M., Field, S. A., Low‐Choy, S. J., Tyre, A. J., & Possingham, H. P.
- Venue
- Ecology Letters
- Publisher
- Wiley
- Published
- 2005-10-06
- Volume
- 8
- Issue
- 11
- Pages
- 1235-1246
- ISSN
- 1461-023X (ISSN-L)
- 1461-0248
- OpenAlex
- W2149914006
- Cited by
- 935
- References
- 62
- FWCI
- 15.60
- Type
- journal article
- Language
- en
- Open access
- closed
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- Martin, T. G., Wintle, B. A., Rhodes, J. R., Kuhnert, P. M., Field, S. A., Low‐Choy, S. J., Tyre, A. J., & Possingham, H. P. (2005). Zero tolerance ecology: improving ecological inference by modelling the source of zero observations. Ecology Letters. https://doi.org/10.1111/j.1461-0248.2005.00826.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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