Influence of noisy environmental data on canonical correspondence analysis

Ecology

Volumn 78, Issue 8, 1997, Pages 2617-2623

  Mccune, Bruce ^a  

^a OREGON STATE UNIVERSITY   (United States)

Author keywords

Canonical correspondence analysis; Community analysis; Gradient analysis; Ordination; Simulated coenoclines; Simulated gradients

Indexed keywords

CANONICAL ANALYSIS; COMMUNITY STRUCTURE; ENVIRONMENTAL FACTOR; MULTIVARIATE ANALYSIS;

EID: 0031401198     PISSN: 00129658     EISSN: None     Source Type: Journal    
DOI: 10.1890/0012-9658(1997)078[2617:IONEDO]2.0.CO;2     Document Type: Article

References (10)

1. McCune, B. 1994. Improving community analysis with the Beals smoothing function. Ecoscience 1:82-86.
2. McCune, B., and M. J. Mefford. 1995. Multivariate analysis on the PC-ORD system. Version 2.0 MjM Software, Gleneden Beach, Oregon, USA.
3. Minchin, P. R. 1987. Simulation of multidimensional community patterns towards a comprehensive model. Vegetatio 71:145-156.
4. Økland, R. H. 1996. Are ordination and constrained ordination alternative or complementary strategies in general ecological studies? Journal of Vegetation Science 7:289-292.
5. Palmer, M. W. 1993. Putting things in even better order: the advantages of canonical correspondence analysis. Ecology 74:2215-2230.
6. ter Braak, C. J. F. 1986. Canonical correspondence analysis: a new eigenvector technique for multivariate direct gradient analysis. Ecology 67:1167-1179.
7. _. 1988. CANOCO. Agricultural Mathematics Group. Technical Report LWA-88-02. Wageningen, The Netherlands.
8. _. 1990. Update Notes: CANOCO Version 3.10. Agricultural Mathematics Group. Wageningen, The Netherlands.
9. _. 1994. Canonical community ordination. Part I: Basic theory and linear methods. Ecoscience 1:127-140.
10. Wilson, M. V., and C. L. Mohler. 1983. Measuring compositional change along gradients. Vegetatio 54:129-141.