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Principal response curves: Analysis of time-dependent multivariate responses of biological community to stress
Open accessAbstract
In this paper a novel multivariate method is proposed for the analysis of community response data from designed experiments repeatedly sampled in time. The long-term effects of the insecticide chlorpyrifos on the invertebrate community and the dissolved oxygen (DO)–pH–alkalinity–conductivity syndrome, in outdoor experimental ditches, are used as example data. The new method, which we have named the principal response curve method (PRC), is based on redundancy analysis (RDA), adjusted for overall changes in community response over time, as observed in control test systems. This allows the method to focus on the time-dependent treatment effects. The principal component is plotted against time, yielding a principal response curve of the community for each treatment. The PRC method distills the complexity of time-dependent, community-level effects of pollutants into a graphic form that can be appreciated more readily than the results of other currently available multivariate techniques. The PRC method also enables a quantitative interpretation of effects towards the species level.
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Cited by
ANOVA-simultaneous component analysis (ASCA): a new tool for analyzing designed metabolomics data
Smilde, A. K., Jansen, J. J., Hoefsloot, H. C. J., Lamers, R.-J. A. N., van der Greef, J., & Timmerman, M. E. (2005) · Bioinformatics · doi:10.1093/bioinformatics/bti476 · Cited by 665
Connon, R. E., Geist, J., & Werner, I. (2012) · Sensors · doi:10.3390/s120912741 · Cited by 300
PAKEMAN, R. J. (2004) · Journal of Ecology · doi:10.1111/j.0022-0477.2004.00928.x · Cited by 270
Brooks, D. R., Bater, J. E., Clark, S. J., Monteith, D. T., Andrews, C., Corbett, S. J., Beaumont, D. A., & Chapman, J. W. (2012) · Journal of Applied Ecology · doi:10.1111/j.1365-2664.2012.02194.x · Cited by 247
Müller, M., Hermes, G. D. A., Emanuel E., C., Holst, J. J., Zoetendal, E. G., Smidt, H., Troost, F., Schaap, F. G., Damink, S. O., Jocken, J. W. E., et al. (2020) · Gut Microbes · doi:10.1080/19490976.2019.1704141 · Cited by 120
Metadata
- Authors
- Van den Brink, P. J., & Braak, C. J. F. T.
- Venue
- Environmental Toxicology and Chemistry
- Publisher
- Oxford University Press (OUP)
- Published
- 1999-02-01
- Volume
- 18
- Issue
- 2
- Pages
- 138-148
- ISSN
- 0730-7268 (ISSN-L)
- 1552-8618
- OpenAlex
- W2150985501
- Cited by
- 858
- References
- 0
- FWCI
- 12.64
- Type
- journal article
- Language
- en
- Open access
- green
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- Van den Brink, P. J., & Braak, C. J. F. T. (1999). Principal response curves: Analysis of time-dependent multivariate responses of biological community to stress. Environmental Toxicology and Chemistry. https://doi.org/10.1002/etc.5620180207
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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.
