The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Canonical community ordination. Part I: Basic theory and linear methods
Open accessAbstract
Canonical community ordination comprises a collection of methods that relate species assemblages to their environment, in both observational studies and designed experiments. Canonical ordination differs from ordination sensu stricto in that species and environment data are analyzed simultaneously. Part I reviews the theory in a non-mathematical way with emphasis on new insights for the interpretation of ordination diagrams. The interpretation depends on the ordination method used to create the diagram. After the basic theory, Part I is focused on the ordination diagrams in linear methods of canonical community ordination, in particular principal component analysis, redundancy analysis and canonical correlation analysis. Special attention is devoted to the display of qualitative environmental variables.
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Cites
Non‐parametric multivariate analyses of changes in community structure
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Cited by
Ecologically meaningful transformations for ordination of species data
Legendre, P., & Gallagher, E. D. (2001) · Oecologia · doi:10.1007/s004420100716 · Cited by 5,556
MULTIVARIATE REGRESSION TREES: A NEW TECHNIQUE FOR MODELING SPECIES–ENVIRONMENT RELATIONSHIPS
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Sala, E., Ballesteros, E., Dendrinos, P., Di Franco, A., Ferretti, F., Foley, D., Fraschetti, S., Friedlander, A., Garrabou, J., Güçlüsoy, H., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032742 · Cited by 403
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Ammonium toxicity in eelgrass Zostera marina
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Metadata
- Authors
- ter Braak, C. J. F.
- Venue
- Écoscience
- Publisher
- Informa UK Limited
- Published
- 1994-01
- Volume
- 1
- Issue
- 2
- Pages
- 127-140
- ISSN
- 1195-6860 (ISSN-L)
- 2376-7626
- OpenAlex
- W2517941964
- Cited by
- 667
- References
- 41
- FWCI
- 19.16
- Type
- journal article
- Language
- en
- Open access
- green
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- ter Braak, C. J. F. (1994). Canonical community ordination. Part I: Basic theory and linear methods. Écoscience. https://doi.org/10.1080/11956860.1994.11682237
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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.