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 = 2 *** Data files *** Species data : OEDO_API.DTA Covariable data : TIMESITE.DTA Environmental data : TIMESITE.DTA Initialization file: Forward selection of envi. variables = 0 Scaling of ordination scores = 1 Diagnostics = 1 File : OEDO_API.DTA Title : count of Oedothorax apicatus females in control and impact site (van der Voet 19 Format : (I5,F4.0) No. of couplets of species number and abundance per line : 0 No samples omitted Number of samples 44 Number of species 1 Number of occurrences 44 File : TIMESITE.DTA Title : time and site indicators of Oedothorax apicatus data (van der Voet 1987) Format : (I5,2(I3,F3.0)) No. of covariables : 24 No interaction terms defined ****************************************************************************** Names of covariables ****************************************************************************** t1 t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12 t13 t14 t15 t16 t17 t18 t19 t20 t21 t22 I-site C-site ****************************************************************************** File : TIMESITE.DTA Title : time and site indicators of Oedothorax apicatus data (van der Voet 1987) Format : (I5,2(I3,F3.0)) No. of environmental variables : 24 *** Interaction terms *** Variable 25 = variable 14 * variable 23 Variable 26 = variable 15 * variable 23 Variable 27 = variable 16 * variable 23 Variable 28 = variable 17 * variable 23 Variable 29 = variable 18 * variable 23 Variable 30 = variable 19 * variable 23 Variable 31 = variable 20 * variable 23 Variable 32 = variable 21 * variable 23 Variable 33 = variable 22 * variable 23 ln(Ay+B)-transformation of species data A = 1.000 B = 1.000 No species-weights specified No sample-weights specified Centring/standardization by species = 1 Centring/standardization by samples = 0 No. of active samples: 44 No. of passive samples: 0 No. of active species: 1 Total sum of squares in species data = 143.064 Total standard deviation in species data TAU = 1.80318 Covariable t22 is linearly dependent, hence ignored Covariable C-site is linearly dependent, hence ignored 1 **** Correlation matrix **** SPEC AX1 1.0000 SPEC AX2 -.3098 1.0000 SPEC AX3 .0000 .0000 .0000 SPEC AX4 .0000 .0000 .0000 .0000 ENVI AX1 .9508 .0000 .0000 .0000 1.0000 ENVI AX2 .0000 .0000 .0000 .0000 .0000 .0000 ENVI AX3 .0000 .0000 .0000 .0000 .0000 .0000 .0000 ENVI AX4 .0000 .0000 .0000 .0000 .0000 .0000 .0000 .0000 t14*I-si -.4513 .0000 .0000 .0000 -.4746 .0000 .0000 .0000 t15*I-si -.5696 .0000 .0000 .0000 -.5991 .0000 .0000 .0000 t16*I-si -.3839 .0000 .0000 .0000 -.4038 .0000 .0000 .0000 t17*I-si -.2113 .0000 .0000 .0000 -.2222 .0000 .0000 .0000 t18*I-si -.1095 .0000 .0000 .0000 -.1152 .0000 .0000 .0000 t19*I-si -.0891 .0000 .0000 .0000 -.0937 .0000 .0000 .0000 t20*I-si .1383 .0000 .0000 .0000 .1454 .0000 .0000 .0000 t21*I-si .1275 .0000 .0000 .0000 .1341 .0000 .0000 .0000 t22*I-si .1257 .0000 .0000 .0000 .1322 .0000 .0000 .0000 SPEC AX1 SPEC AX2 SPEC AX3 SPEC AX4 ENVI AX1 ENVI AX2 ENVI AX3 ENVI AX4 t14*I-si 1.0000 t15*I-si -.0476 1.0000 t16*I-si -.0476 -.0476 1.0000 t17*I-si -.0476 -.0476 -.0476 1.0000 t18*I-si -.0476 -.0476 -.0476 -.0476 1.0000 t19*I-si -.0476 -.0476 -.0476 -.0476 -.0476 1.0000 t20*I-si -.0476 -.0476 -.0476 -.0476 -.0476 -.0476 1.0000 t21*I-si -.0476 -.0476 -.0476 -.0476 -.0476 -.0476 -.0476 1.0000 t22*I-si -.0476 -.0476 -.0476 -.0476 -.0476 -.0476 -.0476 -.0476 t14*I-si t15*I-si t16*I-si t17*I-si t18*I-si t19*I-si t20*I-si t21*I-si N name (weighted) mean stand. dev. inflation factor 1 SPEC AX1 .0000 .2688 2 SPEC AX2 .0000 .0833 3 SPEC AX3 .0000 .0000 4 SPEC AX4 .0000 .0000 5 ENVI AX1 .0000 .2556 6 ENVI AX2 .0000 .0000 7 ENVI AX3 .0000 .0000 8 ENVI AX4 .0000 .0000 25 t14*I-si .0227 .1490 2.1049 26 t15*I-si .0227 .1490 2.1049 27 t16*I-si .0227 .1490 2.1049 28 t17*I-si .0227 .1490 2.1049 29 t18*I-si .0227 .1490 2.1049 30 t19*I-si .0227 .1490 2.1049 31 t20*I-si .0227 .1490 2.1049 32 t21*I-si .0227 .1490 2.1049 33 t22*I-si .0227 .1490 2.1049 **** Summary **** Axes 1 2 3 4 Total variance Eigenvalues : .065 .007 .000 .000 1.000 Species-environment correlations : .951 .000 .000 .000 Cumulative percentage variance of species data : 90.4 100.0 .0 .0 of species-environment relation: 100.0 .0 .0 .0 Sum of all unconstrained eigenvalues .072 Sum of all canonical eigenvalues .065 The sum of all unconstrained eigenvalues is after fitting covariables Percentages are taken with respect to residual variances i.e. variances after fitting covariables *** MESSAGE *** The fit for species is additional to the fit due to covariables. With covariables, CANOCO cannot calculate residuals for samples. 1 *** Sample arrangement in permutation test *** Whole plot 1 : ** Time series or line of plots ** 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 Whole plot 2 : ** Time series or line of plots ** 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 These 2 whole plots are permuted completely at random The 22 split plots are permuted using cyclic shifts using the same permutation in each whole plot Seeds: 8036 25870 **** Summary of Monte Carlo test **** Test of significance of all canonical axes : Trace = .065 F-ratio = 12.561 P-value = .1200 ( 199 permutations under reduced model)