Program CANOCO Version 4.00 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 : SPECIES.DTA Covariable data : DSGNAX1.DTA Environmental data : DESIGN.DTA Initialization file: Forward selection of envi. variables = 0 Scaling of ordination scores = -1 Diagnostics = 1 File : SPECIES.DTA Title : invertebrate data set chlorpyrifos experiment (Ln(10X+1) transformed van den Br Format : (1X,I5,(T10,7F10.3)) No. of couplets of species number and abundance per line : 0 No samples omitted Number of samples 132 Number of species 178 Number of occurrences 4804 File : DSGNAX1.DTA Title : PRC analysis: 5 treatment (ds0-ds4: 1-5) and 11 time (Wk-4-Wk24: 6-16) indicato Format : (I5,2(I5,F4.0),I4,F8.0) No. of covariables : 17 No interaction terms defined ****************************************************************************** Names of covariables ****************************************************************************** Wk-4 Wk-1 Wk0.1 Wk1 Wk2 Wk4 Wk8 Wk12 Wk15 Wk19 Wk24 Envi-ax1 ****************************************************************************** File : DESIGN.DTA Title : PRC analysis: 5 treatment (ds0-ds4: 1-5) and 11 time (Wk-4-Wk24: 6-16) indicato Format : (I5,8(I5,F4.0)) No. of environmental variables : 16 *** Interaction terms *** Variable 17 = variable 2 * variable 8 Variable 18 = variable 2 * variable 9 Variable 19 = variable 2 * variable 10 Variable 20 = variable 2 * variable 11 Variable 21 = variable 2 * variable 12 Variable 22 = variable 2 * variable 13 Variable 23 = variable 2 * variable 14 Variable 24 = variable 2 * variable 15 Variable 25 = variable 2 * variable 16 Variable 26 = variable 3 * variable 8 Variable 27 = variable 3 * variable 9 Variable 28 = variable 3 * variable 10 Variable 29 = variable 3 * variable 11 Variable 30 = variable 3 * variable 12 Variable 31 = variable 3 * variable 13 Variable 32 = variable 3 * variable 14 Variable 33 = variable 3 * variable 15 Variable 34 = variable 3 * variable 16 Variable 35 = variable 4 * variable 8 Variable 36 = variable 4 * variable 9 Variable 37 = variable 4 * variable 10 Variable 38 = variable 4 * variable 11 Variable 39 = variable 4 * variable 12 Variable 40 = variable 4 * variable 13 Variable 41 = variable 4 * variable 14 Variable 42 = variable 4 * variable 15 Variable 43 = variable 4 * variable 16 Variable 44 = variable 5 * variable 8 Variable 45 = variable 5 * variable 9 Variable 46 = variable 5 * variable 10 Variable 47 = variable 5 * variable 11 Variable 48 = variable 5 * variable 12 Variable 49 = variable 5 * variable 13 Variable 50 = variable 5 * variable 14 Variable 51 = variable 5 * variable 15 Variable 52 = variable 5 * variable 16 No transformation of species data No species-weights specified No sample-weights specified Centring/standardization by species = 1 Centring/standardization by samples = 0 No. of active samples: 132 No. of passive samples: 0 No. of active species: 178 Total sum of squares in species data = 37858.0 Total standard deviation in species data TAU = 1.26935 Covariable Wk24 is linearly dependent, hence ignored ****** Collinearity detected when fitting variable 52 ****** 1 **** Correlation matrix **** SPEC AX1 1.0000 SPEC AX2 -.0892 1.0000 SPEC AX3 .0017 .0383 1.0000 SPEC AX4 -.1001 -.1293 -.0948 1.0000 ENVI AX1 .7067 .0000 .0000 .0000 1.0000 ENVI AX2 .0000 .7929 .0000 .0000 .0000 1.0000 ENVI AX3 .0000 .0000 .8352 .0000 .0000 .0000 1.0000 ENVI AX4 .0000 .0000 .0000 .7389 .0000 .0000 .0000 1.0000 ds1*Wk0. .0263 -.0010 -.1290 .0849 .0372 -.0012 -.1545 .1149 ds1*Wk1 .0627 -.0878 -.1252 .2206 .0888 -.1107 -.1499 .2985 ds1*Wk2 .0036 .1848 -.1203 .1527 .0051 .2330 -.1440 .2067 ds1*Wk4 -.0881 .2106 -.1118 .0917 -.1246 .2656 -.1338 .1242 ds1*Wk8 -.0922 .3579 -.2710 .0200 -.1305 .4514 -.3245 .0271 ds1*Wk12 -.0159 .2114 -.1473 .1275 -.0225 .2666 -.1763 .1726 ds1*Wk15 -.0643 .1103 .0308 .0307 -.0909 .1391 .0369 .0416 ds1*Wk19 -.1565 .1176 .0715 -.1707 -.2215 .1483 .0857 -.2310 ds1*Wk24 -.1554 .0685 .0494 -.0943 -.2199 .0864 .0592 -.1276 ds2*Wk0. .1052 .1279 .0064 -.1612 .1488 .1613 .0077 -.2182 ds2*Wk1 .0737 .2155 .0754 -.0737 .1043 .2718 .0902 -.0998 ds2*Wk2 .1587 .0730 .2057 -.1675 .2245 .0921 .2463 -.2267 ds2*Wk4 .1541 .0751 .1868 -.0347 .2181 .0947 .2237 -.0470 ds2*Wk8 .1295 .1764 .1980 -.0710 .1832 .2224 .2371 -.0961 ds2*Wk12 .1337 .1148 -.0181 -.0080 .1892 .1448 -.0217 -.0109 ds2*Wk15 .1677 .1170 .1227 -.0747 .2373 .1476 .1469 -.1011 ds2*Wk19 .1361 .0668 .0602 -.1488 .1926 .0842 .0721 -.2014 ds2*Wk24 .1416 .0262 .1800 -.0499 .2003 .0331 .2156 -.0675 ds3*Wk0. .0444 -.0621 .0482 .0692 .0629 -.0784 .0577 .0937 ds3*Wk1 -.0365 .1744 -.0329 .0193 -.0516 .2200 -.0394 .0261 ds3*Wk2 -.1072 .0435 -.0152 .0927 -.1517 .0549 -.0182 .1255 ds3*Wk4 -.0677 .0019 -.0084 .1014 -.0958 .0024 -.0101 .1373 ds3*Wk8 .0088 .0099 .2183 .2413 .0124 .0124 .2614 .3266 ds3*Wk12 -.1132 -.0386 .1338 .1945 -.1602 -.0486 .1602 .2633 ds3*Wk15 -.1059 -.0124 .3732 .1181 -.1498 -.0157 .4469 .1599 ds3*Wk19 -.0563 -.0471 .2466 .1895 -.0796 -.0594 .2952 .2565 ds3*Wk24 -.1562 -.0293 .1053 .2659 -.2211 -.0370 .1261 .3598 ds4*Wk0. -.0927 .0229 .0680 -.0591 -.1312 .0288 .0814 -.0800 ds4*Wk1 -.1808 .0444 -.0120 -.1754 -.2558 .0560 -.0144 -.2374 ds4*Wk2 -.1197 -.1338 -.0455 -.1172 -.1693 -.1688 -.0545 -.1586 ds4*Wk4 .0331 -.0913 -.0538 -.0942 .0468 -.1151 -.0644 -.1275 ds4*Wk8 -.0056 -.2199 -.0722 -.0532 -.0079 -.2773 -.0865 -.0720 ds4*Wk12 .0836 -.0444 -.0867 -.0288 .1183 -.0559 -.1038 -.0390 ds4*Wk15 .1592 -.0669 -.2400 .0633 .2253 -.0843 -.2874 .0857 ds4*Wk19 .3008 -.0409 -.1853 .1603 .4256 -.0516 -.2219 .2169 ds4*Wk24 .2546 -.1268 -.1028 .0877 .3602 -.1600 -.1231 .1187 SPEC AX1 SPEC AX2 SPEC AX3 SPEC AX4 ENVI AX1 ENVI AX2 ENVI AX3 ENVI AX4 ds1*Wk0. 1.0000 ds1*Wk1 -.0094 1.0000 ds1*Wk2 -.0064 -.0200 1.0000 ds1*Wk4 -.0082 -.0259 -.0175 1.0000 ds1*Wk8 -.0055 -.0174 -.0117 -.0152 1.0000 ds1*Wk12 -.0037 -.0116 -.0079 -.0102 -.0068 1.0000 ds1*Wk15 -.0027 -.0083 -.0056 -.0073 -.0049 -.0033 1.0000 ds1*Wk19 .0000 .0000 .0000 .0000 .0000 .0000 .0000 1.0000 ds1*Wk24 -.0009 -.0029 -.0020 -.0026 -.0017 -.0012 -.0008 .0000 ds2*Wk0. -.2015 -.0036 -.0025 -.0032 -.0021 -.0014 -.0010 .0000 ds2*Wk1 -.0003 -.2039 -.0007 -.0009 -.0006 -.0004 -.0003 .0000 ds2*Wk2 -.0004 -.0013 -.2022 -.0011 -.0008 -.0005 -.0004 .0000 ds2*Wk4 -.0021 -.0066 -.0045 -.2082 -.0039 -.0026 -.0019 .0000 ds2*Wk8 -.0044 -.0137 -.0092 -.0120 -.2097 -.0054 -.0039 .0000 ds2*Wk12 .0004 .0013 .0009 .0011 .0008 -.1999 .0004 .0000 ds2*Wk15 -.0001 -.0002 -.0001 -.0002 -.0001 -.0001 -.2003 .0000 ds2*Wk19 -.0009 -.0028 -.0019 -.0024 -.0016 -.0011 -.0008 -.2000 ds2*Wk24 .0007 .0021 .0014 .0018 .0012 .0008 .0006 .0000 ds3*Wk0. -.1966 .0135 .0091 .0118 .0079 .0053 .0038 .0000 ds3*Wk1 .0143 -.1649 .0302 .0392 .0263 .0176 .0126 .0000 ds3*Wk2 .0121 .0378 -.1806 .0331 .0222 .0149 .0107 .0000 ds3*Wk4 .0132 .0415 .0280 -.1718 .0244 .0163 .0117 .0000 ds3*Wk8 .0045 .0142 .0096 .0124 -.1934 .0056 .0040 .0000 ds3*Wk12 .0029 .0091 .0062 .0080 .0054 -.1971 .0026 .0000 ds3*Wk15 .0014 .0044 .0030 .0039 .0026 .0017 -.1991 .0000 ds3*Wk19 .0024 .0074 .0050 .0065 .0044 .0029 .0021 -.2002 ds3*Wk24 .0013 .0042 .0028 .0037 .0025 .0017 .0012 .0000 ds4*Wk0. -.1935 .0319 .0215 .0279 .0188 .0126 .0090 .0000 ds4*Wk1 .0167 -.1598 .0353 .0458 .0308 .0206 .0148 .0000 ds4*Wk2 .0169 .0532 -.1749 .0466 .0313 .0209 .0150 .0000 ds4*Wk4 .0206 .0646 .0436 -.1595 .0380 .0254 .0182 .0000 ds4*Wk8 .0210 .0658 .0444 .0576 -.1766 .0259 .0185 .0000 ds4*Wk12 .0144 .0453 .0306 .0397 .0266 -.1895 .0128 .0000 ds4*Wk15 .0114 .0357 .0241 .0312 .0210 .0140 -.1944 .0000 ds4*Wk19 .0075 .0235 .0158 .0205 .0138 .0092 .0066 -.2018 ds4*Wk24 .0040 .0125 .0084 .0109 .0074 .0049 .0035 .0000 ds1*Wk0. ds1*Wk1 ds1*Wk2 ds1*Wk4 ds1*Wk8 ds1*Wk12 ds1*Wk15 ds1*Wk19 ds1*Wk24 1.0000 ds2*Wk0. -.0004 1.0000 ds2*Wk1 -.0001 -.0001 1.0000 ds2*Wk2 -.0001 -.0002 .0000 1.0000 ds2*Wk4 -.0007 -.0008 -.0002 -.0003 1.0000 ds2*Wk8 -.0014 -.0017 -.0005 -.0006 -.0031 1.0000 ds2*Wk12 .0001 .0002 .0000 .0001 .0003 .0006 1.0000 ds2*Wk15 .0000 .0000 .0000 .0000 .0000 -.0001 .0000 1.0000 ds2*Wk19 -.0003 -.0003 -.0001 -.0001 -.0006 -.0013 .0001 .0000 ds2*Wk24 -.1998 .0003 .0001 .0001 .0005 .0010 -.0001 .0000 ds3*Wk0. .0013 -.1990 .0004 .0006 .0030 .0062 -.0006 .0001 ds3*Wk1 .0044 .0055 -.2052 .0020 .0100 .0207 -.0020 .0003 ds3*Wk2 .0038 .0047 .0012 -.2031 .0085 .0175 -.0017 .0003 ds3*Wk4 .0041 .0051 .0014 .0018 -.1966 .0191 -.0018 .0003 ds3*Wk8 .0014 .0017 .0005 .0006 .0032 -.1948 -.0006 .0001 ds3*Wk12 .0009 .0011 .0003 .0004 .0020 .0042 -.2007 .0001 ds3*Wk15 .0004 .0005 .0001 .0002 .0010 .0021 -.0002 -.2000 ds3*Wk19 .0007 .0009 .0002 .0003 .0017 .0034 -.0003 .0001 ds3*Wk24 -.1997 .0005 .0001 .0002 .0009 .0019 -.0002 .0000 ds4*Wk0. .0032 -.1995 .0011 .0014 .0071 .0147 -.0014 .0002 ds4*Wk1 .0052 .0065 -.2073 .0023 .0117 .0242 -.0023 .0004 ds4*Wk2 .0053 .0066 .0018 -.2070 .0119 .0246 -.0024 .0004 ds4*Wk4 .0064 .0080 .0021 .0028 -.1994 .0298 -.0029 .0005 ds4*Wk8 .0065 .0081 .0022 .0029 .0147 -.1844 -.0029 .0005 ds4*Wk12 .0045 .0056 .0015 .0020 .0101 .0209 -.2088 .0003 ds4*Wk15 .0035 .0044 .0012 .0016 .0080 .0165 -.0016 -.2040 ds4*Wk19 .0023 .0029 .0008 .0010 .0052 .0108 -.0010 .0002 ds4*Wk24 -.1993 .0015 .0004 .0005 .0028 .0058 -.0006 .0001 ds1*Wk24 ds2*Wk0. ds2*Wk1 ds2*Wk2 ds2*Wk4 ds2*Wk8 ds2*Wk12 ds2*Wk15 ds2*Wk19 1.0000 ds2*Wk24 .0002 1.0000 ds3*Wk0. .0013 -.0010 1.0000 ds3*Wk1 .0042 -.0032 -.0204 1.0000 ds3*Wk2 .0035 -.0027 -.0172 -.0572 1.0000 ds3*Wk4 .0039 -.0029 -.0189 -.0627 -.0530 1.0000 ds3*Wk8 .0013 -.0010 -.0065 -.0215 -.0181 -.0199 1.0000 ds3*Wk12 .0009 -.0006 -.0042 -.0138 -.0117 -.0128 -.0044 1.0000 ds3*Wk15 .0004 -.0003 -.0020 -.0067 -.0057 -.0062 -.0021 -.0014 ds3*Wk19 -.1995 -.0005 -.0034 -.0112 -.0095 -.0104 -.0036 -.0023 ds3*Wk24 .0004 -.2004 -.0019 -.0064 -.0054 -.0059 -.0020 -.0013 ds4*Wk0. .0030 -.0023 -.2186 -.0483 -.0408 -.0447 -.0153 -.0099 ds4*Wk1 .0049 -.0037 -.0238 -.2952 -.0670 -.0734 -.0251 -.0162 ds4*Wk2 .0050 -.0038 -.0242 -.0805 -.2824 -.0745 -.0255 -.0164 ds4*Wk4 .0060 -.0046 -.0294 -.0977 -.0826 -.3102 -.0310 -.0200 ds4*Wk8 .0061 -.0047 -.0300 -.0995 -.0842 -.0922 -.2464 -.0203 ds4*Wk12 .0042 -.0032 -.0206 -.0685 -.0579 -.0635 -.0217 -.2211 ds4*Wk15 .0033 -.0025 -.0162 -.0539 -.0456 -.0499 -.0171 -.0110 ds4*Wk19 -.1997 -.0017 -.0107 -.0355 -.0300 -.0329 -.0113 -.0073 ds4*Wk24 .0012 -.2014 -.0057 -.0189 -.0160 -.0175 -.0060 -.0039 ds2*Wk19 ds2*Wk24 ds3*Wk0. ds3*Wk1 ds3*Wk2 ds3*Wk4 ds3*Wk8 ds3*Wk12 ds3*Wk15 1.0000 ds3*Wk19 -.0011 1.0000 ds3*Wk24 -.0006 -.0011 1.0000 ds4*Wk0. -.0048 -.0080 -.0045 1.0000 ds4*Wk1 -.0079 -.0132 -.0074 -.0565 1.0000 ds4*Wk2 -.0080 -.0134 -.0076 -.0574 -.0942 1.0000 ds4*Wk4 -.0097 -.0162 -.0092 -.0697 -.1144 -.1162 1.0000 ds4*Wk8 -.0099 -.0165 -.0094 -.0710 -.1165 -.1184 -.1437 1.0000 ds4*Wk12 -.0068 -.0114 -.0064 -.0489 -.0802 -.0815 -.0989 -.1008 ds4*Wk15 -.2097 -.0090 -.0051 -.0385 -.0631 -.0641 -.0779 -.0793 ds4*Wk19 -.0035 -.2079 -.0033 -.0253 -.0415 -.0422 -.0512 -.0522 ds4*Wk24 -.0019 -.0031 -.2024 -.0135 -.0221 -.0225 -.0273 -.0278 ds3*Wk15 ds3*Wk19 ds3*Wk24 ds4*Wk0. ds4*Wk1 ds4*Wk2 ds4*Wk4 ds4*Wk8 ds4*Wk12 1.0000 ds4*Wk15 -.0546 1.0000 ds4*Wk19 -.0359 -.0283 1.0000 ds4*Wk24 -.0192 -.0151 -.0099 1.0000 ds4*Wk12 ds4*Wk15 ds4*Wk19 ds4*Wk24 N name (weighted) mean stand. dev. inflation factor 1 SPEC AX1 .0000 .2341 2 SPEC AX2 .0000 .1741 3 SPEC AX3 .0000 .1432 4 SPEC AX4 .0000 .1529 5 ENVI AX1 .0000 .1654 6 ENVI AX2 .0000 .1380 7 ENVI AX3 .0000 .1196 8 ENVI AX4 .0000 .1130 17 ds1*Wk0. .0152 .1222 1.6260 18 ds1*Wk1 .0152 .1222 1.4990 19 ds1*Wk2 .0152 .1222 2.1245 20 ds1*Wk4 .0152 .1222 1.7450 21 ds1*Wk8 .0152 .1222 1.5677 22 ds1*Wk12 .0152 .1222 1.8129 23 ds1*Wk15 .0152 .1222 1.6555 24 ds1*Wk19 .0152 .1222 2.1675 25 ds1*Wk24 .0152 .1222 1.3249 26 ds2*Wk0. .0152 .1222 2.0094 27 ds2*Wk1 .0152 .1222 4.8174 28 ds2*Wk2 .0152 .1222 5.1242 29 ds2*Wk4 .0152 .1222 4.1976 30 ds2*Wk8 .0152 .1222 1.7474 31 ds2*Wk12 .0152 .1222 3.2987 32 ds2*Wk15 .0152 .1222 2.2978 33 ds2*Wk19 .0152 .1222 1.9222 34 ds2*Wk24 .0152 .1222 1.3498 35 ds3*Wk0. .0152 .1222 4.5290 36 ds3*Wk1 .0152 .1222 21.4333 37 ds3*Wk2 .0152 .1222 19.0253 38 ds3*Wk4 .0152 .1222 21.2368 39 ds3*Wk8 .0152 .1222 6.2067 40 ds3*Wk12 .0152 .1222 4.7730 41 ds3*Wk15 .0152 .1222 2.8769 42 ds3*Wk19 .0152 .1222 3.1005 43 ds3*Wk24 .0152 .1222 1.4138 44 ds4*Wk0. .0152 .1222 9.4176 45 ds4*Wk1 .0152 .1222 25.2187 46 ds4*Wk2 .0152 .1222 26.6428 47 ds4*Wk4 .0152 .1222 33.3817 48 ds4*Wk8 .0152 .1222 26.4408 49 ds4*Wk12 .0152 .1222 16.5601 50 ds4*Wk15 .0152 .1222 10.4765 51 ds4*Wk19 .0152 .1222 6.3963 52 ds4*Wk24 .0152 .1222 .0000 **** Summary **** Axes 1 2 3 4 Total variance Eigenvalues : .027 .019 .014 .013 1.000 Species-environment correlations : .707 .793 .835 .739 Cumulative percentage variance of species data : 3.9 6.7 8.8 10.6 of species-environment relation: 13.5 22.9 29.9 36.2 Sum of all unconstrained eigenvalues .694 Sum of all canonical eigenvalues .203 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 : 1 13 25 37 49 61 73 85 97 109 121 Whole plot 2 : 2 14 26 38 50 62 74 86 98 110 122 Whole plot 3 : 3 15 27 39 51 63 75 87 99 111 123 Whole plot 4 : 4 16 28 40 52 64 76 88 100 112 124 Whole plot 5 : 5 17 29 41 53 65 77 89 101 113 125 Whole plot 6 : 6 18 30 42 54 66 78 90 102 114 126 Whole plot 7 : 7 19 31 43 55 67 79 91 103 115 127 Whole plot 8 : 8 20 32 44 56 68 80 92 104 116 128 Whole plot 9 : 9 21 33 45 57 69 81 93 105 117 129 Whole plot 10 : 10 22 34 46 58 70 82 94 106 118 130 Whole plot 11 : 11 23 35 47 59 71 83 95 107 119 131 Whole plot 12 : 12 24 36 48 60 72 84 96 108 120 132 These 12 whole plots are permuted completely at random The 11 split plots are not permuted Seeds: 13189 29720 **** Summary of Monte Carlo test **** Test of significance of first canonical axis: eigenvalue = .027 F-ratio = 3.490 P-value = .5790 ( 999 permutations under reduced model)