Program CANOCO Version 4.0 September 1997 - written by Cajo J.F. ter Braak Copyright (c) 1988-1997 Centre for Biometry Wageningen, CPRO-DLO Box 100, 6700 AC Wageningen, the Netherlands. CANOCO performs (partial) (detrended) (canonical) correspondence analysis, principal components analysis and redundancy analysis. CANOCO is an extension of Cornell Ecology program DECORANA (Hill,1979) For explanation of the input/output see the manual or Ter Braak, C.J.F. (1995) Ordination. Chapter 5 in: Data Analysis in Community and Landscape Ecology (Jongman, R.H.G., Ter Braak, C.J.F. and Van Tongeren, O.F.R., Eds) Cambridge University Press, Cambridge, UK, 91-173 pp. *** Type of analysis *** Model Gradient analysis indirect direct hybrid linear 1=PCA 2= RDA 3 unimodal 4= CA 5= CCA 6 ,, 7=DCA 8=DCCA 9 10=non-standard analysis Type analysis number Answer = 5 *** Data files *** Species data : DYKE_SPE.DTA Covariable data : Environmental data : DYKE_ENV.DTA Initialization file: Forward selection of envi. variables = 0 Scaling of ordination scores = -1 Diagnostics = 3 File : DYKE_SPE.DTA Title : 167 493 vegetation fresh water dykes Format : (I5,9(I5,F3.0)) No. of couplets of species number and abundance per line : 9 No samples omitted Number of samples 125 Number of species 133 Number of occurrences 1705 File : DYKE_ENV.DTA Title : De Lange,L. (1972) 125 fresh water dykes, 6 env.vars (ter Braak 1986) Format : (I4,3F5.0,3F2.0) No. of environmental variables : 6 No interaction terms defined No transformation of species data No species-weights specified No sample-weights specified No downweighting of rare species No. of active samples: 125 No. of passive samples: 0 No. of active species: 133 Total inertia in species data= Sum of all eigenvalues of CA = 8.25737 ****** Collinearity detected when fitting variable 6 ****** ****** Check on influence in covariable/environment data ****** The following sample(s) have extreme values Sample Environmental Covariable + Environment space variable Influence influence influence 5 3.6x 12 6.6x 15 4.3x 34 4.3x 117 3.3x ****** End of check ****** 1 **** Weighted correlation matrix (weight = sample total) **** SPEC AX1 1.0000 SPEC AX2 -.0913 1.0000 SPEC AX3 .1180 -.0359 1.0000 SPEC AX4 -.1962 .0903 .0000 1.0000 ENVI AX1 .7822 .0000 .0000 .0000 1.0000 ENVI AX2 .0000 .7754 .0000 .0000 .0000 1.0000 ENVI AX3 .0000 .0000 .0000 .0000 .0000 .0000 .0000 ENVI AX4 .0000 .0000 .0000 .0000 .0000 .0000 .0000 .0000 Peat .7725 -.1217 .0000 .0000 .9876 -.1570 .0000 .0000 Sand .0108 .7754 .0000 .0000 .0137 .9999 .0000 .0000 Clay -.7005 -.3450 .0000 .0000 -.8956 -.4449 .0000 .0000 SPEC AX1 SPEC AX2 SPEC AX3 SPEC AX4 ENVI AX1 ENVI AX2 ENVI AX3 ENVI AX4 Peat 1.0000 Sand -.1434 1.0000 Clay -.8146 -.4572 1.0000 Peat Sand Clay N name (weighted) mean stand. dev. inflation factor 1 SPEC AX1 .0000 .4939 2 SPEC AX2 .0000 .4110 3 SPEC AX3 .0000 .7183 4 SPEC AX4 .0000 .6800 5 ENVI AX1 .0000 .3863 6 ENVI AX2 .0000 .3187 7 ENVI AX3 .0000 .0000 8 ENVI AX4 .0000 .0000 4 Peat .2035 .4026 1.0210 5 Sand .0745 .2626 1.0210 6 Clay .7220 .4480 .0000 **** Summary **** Axes 1 2 3 4 Total inertia Eigenvalues : .130 .092 .340 .316 8.257 Species-environment correlations : .782 .775 .000 .000 Cumulative percentage variance of species data : 1.6 2.7 6.8 10.6 of species-environment relation: 58.5 100.0 .0 .0 Sum of all unconstrained eigenvalues 8.257 Sum of all canonical eigenvalues .222