Van der Aart & Smeen-Enserink: 100 pitfall data (ter Braak 1985) DCA Canonical axes: 0 Covariables: 0 Scaling: -1 DETR-SEGME Rescaling: 4 Segments: 26 Threshold: .00 No transformation Spec: Species scores N NAME AX1 AX2 AX3 AX4 WEIGHT N2 EIG .7005 .1666 .0369 .0271 1 Alop acce 3.4573 .5222 -.1771 -.6697 174.00 10.18 2 Alop cune 1.8370 .5390 1.1061 .6479 151.00 7.15 3 Alop fabr 4.1677 .7862 1.7506 1.8937 97.00 7.10 4 Arct lute .3008 -.5314 4.0591 -.3694 26.00 3.48 5 Arct peri 4.6838 .9244 -.4122 -.5024 39.00 3.53 6 Aulo albi .5207 .2651 -1.6894 1.1097 130.00 7.22 7 Pard lugu -.4181 2.9749 .0802 .6970 127.00 4.34 8 Pard mont 2.6904 .4784 .9422 .6013 449.00 7.78 9 Pard nigr .3849 -1.1213 .9885 .4800 406.00 5.23 10 Pard pull .9203 -.3139 -.2371 .7108 582.00 8.05 11 Troc terr 1.0879 1.7909 .2978 .3915 971.00 13.69 12 Zora spin .3694 1.0676 2.4487 -.3088 185.00 8.51 Centroid 1.3524 .6582 .4838 .4705 Van der Aart & Smeen-Enserink: 100 pitfall data (ter Braak 1985) DCA Canonical axes: 0 Covariables: 0 Scaling: -1 DETR-SEGME Rescaling: 4 Segments: 26 Threshold: .00 No transformation Samp: Sample scores N NAME AX1 AX2 AX3 AX4 WEIGHT N2 EIG .7005 .1666 .0369 .0271 2 Pitf 2 1.7411 .5851 .3888 .4105 217.00 4.82 8 Pitf 8 .8464 .6879 .0000 .5753 160.00 3.76 9 Pitf 9 1.4439 .5928 .3486 .4819 208.00 5.24 11 Pitf 11 .9077 .4913 .2534 .5106 275.00 4.12 16 Pitf 16 .7843 .0634 .5677 .4877 354.00 3.79 19 Pitf 19 .8990 .6679 .8714 .3341 177.00 4.70 24 Pitf 24 .9525 .2921 .4919 .4896 396.00 4.55 29 Pitf 29 .3754 2.0426 .2221 .6029 111.00 3.00 37 Pitf 37 2.4602 .4889 .8366 .5496 32.00 1.50 38 Pitf 38 2.7710 .5432 .8239 .5002 27.00 1.47 39 Pitf 39 2.7177 .5252 .7624 .4614 119.00 1.53 41 Pitf 41 2.4446 .5506 .7140 .4537 147.00 2.19 49 Pitf 49 1.0951 .4728 .4978 .5057 336.00 5.47 50 Pitf 50 .9645 .7608 .4939 .4269 237.00 3.62 54 Pitf 54 .7587 1.9360 .4492 .3836 34.00 1.73 57 Pitf 57 .8305 1.6660 .5560 .3910 43.00 2.18 59 Pitf 59 .9231 1.8250 .4410 .3622 27.00 1.36 60 Pitf 60 .8691 1.9415 .2888 .4490 31.00 1.48 61 Pitf 61 .5704 1.9928 .4347 .4404 39.00 2.38 62 Pitf 62 .5874 2.0843 .3770 .4705 39.00 2.30 74 Pitf 74 .4892 2.1198 .3423 .5010 39.00 2.59 76 Pitf 76 3.8696 .7560 .9101 .8399 30.00 2.76 78 Pitf 78 3.5515 .7865 .5515 .3937 48.00 3.81 79 Pitf 79 3.9199 .7058 .8674 .7641 39.00 2.74 80 Pitf 80 2.0100 .8101 .7823 .4670 61.00 6.03 82 Pitf 82 4.3134 .8826 .1018 .0251 28.00 2.12 83 Pitf 83 3.7230 .6215 .2981 .0000 45.00 2.07 89 Pitf 89 3.5055 .6899 .7286 .5356 38.00 3.13 1 Pitf 1 .9464 .1304 .2754 .5626 .00 3.89 3 Pitf 3 1.2762 .5551 .3291 .5497 .00 5.22 4 Pitf 4 1.2027 .5706 .5039 .5297 .00 4.57 5 Pitf 5 1.7004 .6045 .4724 .5291 .00 4.25 6 Pitf 6 1.9789 .5181 .5401 .4533 .00 3.45 7 Pitf 7 1.3587 .6169 .3459 .5359 .00 5.16 10 Pitf 10 1.0437 .2685 .2018 .5680 .00 4.37 12 Pitf 12 2.0291 .5252 .6202 .4574 .00 3.67 13 Pitf 13 1.5553 .7139 .3572 .5015 .00 4.84 14 Pitf 14 1.2099 .6867 .3923 .4951 .00 4.31 15 Pitf 15 .9572 .5366 .4278 .4735 .00 3.88 17 Pitf 17 1.3115 .5047 .5084 .5058 .00 5.71 18 Pitf 18 1.0013 .5850 .4119 .4926 .00 3.94 20 Pitf 20 1.3534 .5764 .5770 .3235 .00 5.00 21 Pitf 21 1.0826 .3977 .3885 .4894 .00 4.48 22 Pitf 22 .9507 .2691 .4707 .5028 .00 4.46 23 Pitf 23 .8101 .6052 .5172 .4228 .00 3.22 25 Pitf 25 1.0003 .6241 .3916 .4707 .00 3.70 26 Pitf 26 2.2501 .6092 .6917 .3148 .00 4.88 27 Pitf 27 1.1131 .9588 .4853 .5196 .00 4.66 28 Pitf 28 .2970 2.0755 .4002 .5214 .00 2.90 30 Pitf 30 .2529 2.2277 .3238 .5234 .00 2.51 31 Pitf 31 2.1023 .4965 .7311 .5636 .00 3.78 32 Pitf 32 2.6228 .5415 .7810 .4374 .00 1.68 33 Pitf 33 2.1836 .6549 .7286 .5244 .00 2.62 34 Pitf 34 2.3980 .6821 .7497 .4636 .00 2.22 35 Pitf 35 1.2989 .7116 .5282 .5307 .00 5.90 36 Pitf 36 2.2214 .5871 .7269 .5456 .00 2.23 40 Pitf 40 1.2320 .5954 .4152 .5412 .00 6.02 42 Pitf 42 2.5799 .6196 .5950 .3176 .00 2.25 43 Pitf 43 2.7347 .5165 .6977 .3723 .00 1.70 44 Pitf 44 2.1850 .5289 .7483 .5305 .00 2.44 45 Pitf 45 .7519 .0000 .5094 .5045 .00 4.20 46 Pitf 46 .9413 1.0144 .6936 .3659 .00 4.33 47 Pitf 47 2.2848 .5740 .6836 .5417 .00 2.09 48 Pitf 48 1.9013 .5620 .7102 .5795 .00 3.71 51 Pitf 51 .5999 1.2113 .5998 .4268 .00 4.93 52 Pitf 52 .8527 1.2743 .7048 .3921 .00 3.11 53 Pitf 53 .5167 1.7127 .4504 .4675 .00 2.84 55 Pitf 55 .9286 1.8776 .3546 .3445 .00 1.80 56 Pitf 56 .5975 1.3869 .4849 .4839 .00 4.34 58 Pitf 58 .6507 1.8418 .7471 .2879 .00 2.30 63 Pitf 63 .0000 2.6065 .2100 .5861 .00 1.75 64 Pitf 64 .6019 2.1094 .3297 .4649 .00 2.02 65 Pitf 65 .6615 1.9789 .4939 .3813 .00 2.01 66 Pitf 66 .4667 2.1422 .4479 .4275 .00 2.35 67 Pitf 67 .5533 1.9629 .6432 .3585 .00 2.66 68 Pitf 68 .3064 2.2980 .3728 .4795 .00 2.34 69 Pitf 69 1.1628 1.6657 .3786 .4171 .00 1.22 70 Pitf 70 .6216 1.9965 .5122 .3803 .00 2.13 71 Pitf 71 .4682 2.2252 .2839 .5317 .00 2.34 72 Pitf 72 .3872 2.1382 .3998 .4542 .00 2.61 73 Pitf 73 .5022 2.2513 .2132 .5103 .00 1.91 75 Pitf 75 .4091 2.1905 .4256 .4571 .00 2.47 77 Pitf 77 3.7308 .6493 .6944 .4979 .00 2.90 81 Pitf 81 1.5530 1.1561 .7072 .2601 .00 3.87 84 Pitf 84 3.5063 .7433 .6426 .4658 .00 3.19 85 Pitf 85 3.0932 .5429 .7837 .5606 .00 4.23 86 Pitf 86 3.8123 .7036 .7014 .7114 .00 2.96 87 Pitf 87 3.8570 .9253 .5759 .5524 .00 3.37 88 Pitf 88 3.6963 .6720 .9644 .8412 .00 3.18 90 Pitf 90 3.6443 .6444 .8395 .6634 .00 3.24 91 Pitf 91 3.8492 .8407 .5572 .4693 .00 3.37 92 Pitf 92 3.6753 .7176 .7105 .6390 .00 3.86 93 Pitf 93 3.8620 .7700 .8349 .7620 .00 3.30 94 Pitf 94 3.0345 .5916 .6674 .4615 .00 3.61 95 Pitf 95 3.0413 .6224 .6326 .3236 .00 3.67 96 Pitf 96 3.6543 .6150 .4870 .2103 .00 2.11 97 Pitf 97 4.0230 .7238 .7877 .6900 .00 2.51 98 Pitf 98 3.9000 .6978 .9231 .8209 .00 2.50 99 Pitf 99 3.6578 .6886 .8323 .6812 .00 3.25 100 Pitf 100 3.1841 .5634 .6688 .3496 .00 3.45 Centroid 1.3524 .6582 .4838 .4705 Van der Aart & Smeen-Enserink: 100 pitfall data (ter Braak 1985) DCA Canonical axes: 0 Covariables: 0 Scaling: -1 DETR-SEGME Rescaling: 4 Segments: 26 Threshold: .00 No transformation Tol : Species tolerance (root mean squared deviation for species) N NAME AX1 AX2 AX3 AX4 RMSTOL N2 FR FITTED .3643 .0866 .0192 .0141 1 Alop acce 1.1689 .1572 .7656 1.1004 89.27 10.18 2 Alop cune .8475 .5495 .6481 .1715 60.61 7.15 3 Alop fabr .9585 .1016 1.1093 1.4125 101.92 7.10 4 Arct lute .6905 .9754 3.4980 .8246 189.37 3.48 5 Arct peri .7527 .1551 .8735 .8464 71.94 3.53 6 Aulo albi .5617 .5104 2.0403 .6039 112.95 7.22 7 Pard lugu 1.1147 1.1708 .2757 .1967 82.59 4.34 8 Pard mont .9504 .1814 .3617 .1476 52.17 7.78 9 Pard nigr .6419 1.5109 .5131 .0482 86.03 5.23 10 Pard pull .3503 .8191 .6931 .2371 57.67 8.05 11 Troc terr .4349 1.1776 .2447 .1015 64.15 13.69 12 Zora spin .6456 .6094 1.9499 .7643 113.74 8.51 Van der Aart & Smeen-Enserink: 100 pitfall data (ter Braak 1985) DCA Canonical axes: 0 Covariables: 0 Scaling: -1 DETR-SEGME Rescaling: 4 Segments: 26 Threshold: .00 No transformation Het : Sample heterogeneity (root mean squared deviation for samples) N NAME AX1 AX2 AX3 AX4 RMSTOL N2 FR FITTED .3643 .0866 .0192 .0141 2 Pitf 2 1.0023 .8488 .6375 .4298 76.09 4.82 8 Pitf 8 .3480 1.0526 1.0168 .3413 77.13 3.76 9 Pitf 9 .9292 .9672 .7663 .4008 79.79 5.24 11 Pitf 11 .4829 1.0416 .9947 .3526 77.97 4.12 16 Pitf 16 .4552 1.1927 .7830 .2509 75.93 3.79 19 Pitf 19 .5943 1.0750 1.1544 .3847 86.45 4.70 24 Pitf 24 .6256 1.1326 .9823 .2963 82.56 4.55 29 Pitf 29 .8726 1.0823 .6894 .2360 78.48 3.00 37 Pitf 37 .6424 .4553 .3136 .2269 43.87 1.50 38 Pitf 38 .4846 .2516 .4060 .4825 41.70 1.47 39 Pitf 39 .5181 .2515 .4697 .4647 43.82 1.53 41 Pitf 41 .7084 .4464 .4462 .3986 51.46 2.19 49 Pitf 49 .6921 1.0421 .9039 .3191 78.80 5.47 50 Pitf 50 .5362 1.0426 .9275 .3345 76.59 3.62 54 Pitf 54 .5809 .5220 .6274 .2443 51.56 1.73 57 Pitf 57 .6003 .8558 .6619 .2522 63.14 2.18 59 Pitf 59 .4232 .3761 .5707 .2059 41.49 1.36 60 Pitf 60 .5797 .5040 .1692 .1177 39.77 1.48 61 Pitf 61 .7049 .8297 .6170 .2568 63.87 2.38 62 Pitf 62 .7489 .6989 .5294 .2310 58.80 2.30 74 Pitf 74 .8243 .8317 .5380 .2385 65.53 2.59 76 Pitf 76 .7253 .2405 .9478 1.1725 84.51 2.76 78 Pitf 78 1.0883 .5098 .8958 1.1090 93.23 3.81 79 Pitf 79 .5319 .1514 .9582 1.2008 81.64 2.74 80 Pitf 80 1.4131 .8635 .9098 .7549 101.74 6.03 82 Pitf 82 .7368 .2156 .8730 .9918 76.40 2.12 83 Pitf 83 .4467 .1469 .8458 1.0937 73.02 2.07 89 Pitf 89 .7820 .2947 .8717 1.1328 82.79 3.13 1 Pitf 1 .5373 1.0196 .7910 .2556 71.05 3.89 3 Pitf 3 .7422 .9652 .7940 .2952 74.16 5.22 4 Pitf 4 .6447 1.0380 .6914 .2271 71.11 4.57 5 Pitf 5 .9231 .8319 .7087 .3235 73.33 4.25 6 Pitf 6 .9820 .6934 .6849 .4007 72.02 3.45 7 Pitf 7 .7835 .9289 .7744 .3054 73.65 5.16 10 Pitf 10 .6517 .9776 .9255 .3130 76.40 4.37 12 Pitf 12 .9567 .6963 .6866 .3949 71.20 3.67 13 Pitf 13 .9190 .8218 .9788 .3816 80.99 4.84 14 Pitf 14 .7261 .9821 .9577 .3181 79.22 4.31 15 Pitf 15 .4786 1.0880 .9624 .3137 78.06 3.88 17 Pitf 17 .8112 .9858 .7830 .3139 76.51 5.71 18 Pitf 18 .5159 1.1081 .8882 .2789 76.82 3.94 20 Pitf 20 .9782 1.0491 1.0945 .4481 92.95 5.00 21 Pitf 21 .7106 1.0684 .7728 .3123 76.51 4.48 22 Pitf 22 .5539 1.1004 .7812 .2720 74.20 4.46 23 Pitf 23 .3169 1.2358 .8037 .2799 76.68 3.22 25 Pitf 25 .5536 1.1007 .8998 .3048 77.79 3.70 26 Pitf 26 1.1993 .7227 .6064 .4670 79.79 4.88 27 Pitf 27 .7680 1.0722 .8871 .2898 80.78 4.66 28 Pitf 28 .7707 1.0867 .6879 .2814 76.28 2.90 30 Pitf 30 .7317 .9272 .6217 .2661 68.05 2.51 31 Pitf 31 .9590 .6371 .6567 .4108 69.38 3.78 32 Pitf 32 .5532 .3453 .3870 .4137 43.19 1.68 33 Pitf 33 .8895 .6460 .5298 .3387 63.33 2.62 34 Pitf 34 .6898 .4806 .3940 .3609 49.81 2.22 35 Pitf 35 .9439 1.0242 .9326 .3097 85.23 5.90 36 Pitf 36 .8011 .5798 .5237 .2559 57.40 2.23 40 Pitf 40 .8114 .9141 1.0635 .3360 82.73 6.02 42 Pitf 42 .7349 .4583 .4870 .5094 55.83 2.25 43 Pitf 43 .5489 .2620 .4621 .4839 45.21 1.70 44 Pitf 44 .8549 .5206 .6550 .3228 61.95 2.44 45 Pitf 45 .5032 1.1233 .9515 .3120 79.34 4.20 46 Pitf 46 .6361 .9262 1.1084 .4022 81.44 4.33 47 Pitf 47 .7655 .5155 .5458 .2816 55.43 2.09 48 Pitf 48 .8087 .6816 .4886 .1998 59.10 3.71 51 Pitf 51 .6309 1.2604 1.0778 .3888 90.82 4.93 52 Pitf 52 .6482 1.1553 .7004 .2699 76.13 3.11 53 Pitf 53 .6898 1.2568 .5536 .2253 77.66 2.84 55 Pitf 55 .8326 .5870 .5237 .3212 59.48 1.80 56 Pitf 56 .7034 1.2907 .9128 .3247 88.02 4.34 58 Pitf 58 .5819 .6092 .9264 .3430 64.92 2.30 63 Pitf 63 .6614 .5856 .4101 .2080 49.79 1.75 64 Pitf 64 .7118 .6242 .4562 .2107 53.59 2.02 65 Pitf 65 .6290 .5873 .7079 .2780 57.42 2.01 66 Pitf 66 .6996 .6628 .6977 .2909 61.24 2.35 67 Pitf 67 .6790 .7070 .8609 .3390 67.40 2.66 68 Pitf 68 .7204 .6769 .6345 .2790 60.37 2.34 69 Pitf 69 .2247 .3756 .2425 .0769 25.31 1.22 70 Pitf 70 .6435 .6112 .7377 .2907 59.50 2.13 71 Pitf 71 .8365 .7381 .3633 .1829 59.37 2.34 72 Pitf 72 .6960 .7526 .8063 .3228 67.18 2.61 73 Pitf 73 .7341 .5772 .1061 .1489 47.58 1.91 75 Pitf 75 .7348 .7079 .6724 .2863 62.75 2.47 77 Pitf 77 .5513 .1520 .9205 1.1833 80.23 2.90 81 Pitf 81 1.3053 .8656 .8383 .5284 92.67 3.87 84 Pitf 84 .9697 .4579 .8937 1.1444 90.25 3.19 85 Pitf 85 1.1886 .6037 .7892 1.0144 92.59 4.23 86 Pitf 86 .8983 .1705 1.0854 1.2030 93.02 2.96 87 Pitf 87 1.2180 .5027 .9866 1.1349 99.97 3.37 88 Pitf 88 .7055 .1644 .8382 1.0437 76.10 3.18 90 Pitf 90 .6360 .1555 .8654 1.1091 77.58 3.24 91 Pitf 91 .9615 .3286 .9741 1.1744 91.66 3.37 92 Pitf 92 1.0118 .3253 .9479 1.1251 90.75 3.86 93 Pitf 93 .8453 .2390 .9517 1.1303 85.95 3.30 94 Pitf 94 .8941 .2409 .7736 .8250 73.09 3.61 95 Pitf 95 .8191 .2981 .7138 .8987 72.06 3.67 96 Pitf 96 .4861 .1322 .8996 1.1796 78.34 2.11 97 Pitf 97 .4280 .1465 1.0052 1.2540 83.48 2.51 98 Pitf 98 .4974 .1457 .9464 1.2071 80.95 2.50 99 Pitf 99 .7283 .2337 .8885 1.1316 81.47 3.25 100 Pitf 100 .7111 .1165 .7386 .9346 69.61 3.45 Van der Aart & Smeen-Enserink: 100 pitfall data (ter Braak 1985) DCA Canonical axes: 0 Covariables: 0 Scaling: -1 DETR-SEGME Rescaling: 4 Segments: 26 Threshold: .00 No transformation Regr: Regression/canonical coefficients for standardized variables N NAME AX1 AX2 AX3 AX4 EIG .7005 .1666 .0369 .0271 1 WaterCon .1041 .0513 .1193 .1180 2 Humuscon -.1164 -.2834 .5088 .6102 3 Acidity .2599 -.0331 .1345 .2178 4 BareSand .0227 -.0318 .1374 .1088 5 FallTwig -.6525 .8769 -1.2086 -1.0273 6 CoveMoss -.1263 -.0829 .4084 .3873 7 CoveHerb -.0534 -.0099 -.0456 -.0867 8 MaxHHerb -.0167 .0939 -.0536 -.0134 9 MinHHerb -.0259 -.1544 .0573 .0469 10 CoveCala -.2822 .0214 -.0697 .0821 11 CoveCare .1716 -.2462 -.0661 -.1705 12 CoveFesc -.2340 .1893 -.1927 -.1261 13 CoveCory -.0349 .1392 -.0762 -.0147 14 CoveUrti -.1366 .0582 .2477 .0743 15 CoveMoeh .3257 -.3131 .3425 .3595 16 CoveShru .6636 -.5664 1.0616 .7785 17 MaxHShru -4.5385 3.8071 -7.7003 -7.1826 18 MinHShru 3.9313 -3.3437 6.7984 6.4760 19 CoveLigu .1467 -.1322 -.0055 -.0783 20 CoveTree .4279 .3143 .1940 .1765 21 MaxHTree .4675 -.4165 .5468 .4788 22 CovePopu .1165 -.1101 .4163 .2750 23 CoveCrat -.2080 .2257 -.2994 -.1470 24 Lux grey .1548 .2254 -.6969 -.5205 25 Lux sun .2314 .5996 .0934 .0133 26 Refl Lux .5437 -.5053 .4695 .4357 Van der Aart & Smeen-Enserink: 100 pitfall data (ter Braak 1985) DCA Canonical axes: 0 Covariables: 0 Scaling: -1 DETR-SEGME Rescaling: 4 Segments: 26 Threshold: .00 No transformation tVal: t-values of regression coefficients N NAME AX1 AX2 AX3 AX4 FR EXPLAINED .3203 .1137 .0000 .0000 1 WaterCon .1292 .3810 2.0075 1.7766 2 Humuscon -.1061 -1.5453 6.2918 6.7480 3 Acidity .5562 -.4239 3.9024 5.6525 4 BareSand .0939 -.7850 7.6940 5.4520 5 FallTwig -.3819 3.0698 -9.5954 -7.2937 6 CoveMoss -.1770 -.6953 7.7652 6.5851 7 CoveHerb -.1402 -.1554 -1.6245 -2.7634 8 MaxHHerb -.0462 1.5532 -2.0123 -.4484 9 MinHHerb -.0459 -1.6379 1.3787 1.0092 10 CoveCala -.7490 .3396 -2.5078 2.6430 11 CoveCare .3316 -2.8464 -1.7334 -3.9964 12 CoveFesc -.5447 2.6359 -6.0843 -3.5620 13 CoveCory -.0715 1.7057 -2.1178 -.3657 14 CoveUrti -.2274 .5797 5.5925 1.4998 15 CoveMoeh .3705 -2.1303 5.2847 4.9607 16 CoveShru .3260 -1.6642 7.0748 4.6393 17 MaxHShru -.2918 1.4639 -6.7152 -5.6014 18 MinHShru .2819 -1.4344 6.6140 5.6341 19 CoveLigu .1116 -.6014 -.0565 -.7228 20 CoveTree .5669 2.4906 3.4868 2.8367 21 MaxHTree .4589 -2.4453 7.2807 5.7010 22 CovePopu .1543 -.8718 7.4773 4.4166 23 CoveCrat -.4362 2.8307 -8.5152 -3.7385 24 Lux grey .1485 1.2929 -9.0663 -6.0549 25 Lux sun .1009 1.5643 .5528 .0705 26 Refl Lux .2202 -1.2237 2.5787 2.1401 Van der Aart & Smeen-Enserink: 100 pitfall data (ter Braak 1985) DCA Canonical axes: 0 Covariables: 0 Scaling: -1 DETR-SEGME Rescaling: 4 Segments: 26 Threshold: .00 No transformation CorE: Inter set correlations of environmental variables with axes N NAME AX1 AX2 AX3 AX4 FR EXTRACTED .2511 .2093 .0615 .0224 1 WaterCon -.8458 -.0676 -.0741 .1533 2 Humuscon -.7397 -.0645 -.0836 .1220 3 Acidity .7264 .0936 .1694 -.1281 4 BareSand .5264 -.0122 .4193 -.1820 5 FallTwig -.3994 .7786 -.0874 -.0263 6 CoveMoss .7446 .0166 .2705 -.1358 7 CoveHerb -.2766 -.6962 -.2168 .1111 8 MaxHHerb -.7172 .0344 -.2844 .2810 9 MinHHerb -.3316 -.2685 -.0438 .0548 10 CoveCala -.5534 -.5995 -.3790 .2734 11 CoveCare .2628 -.3125 .1214 .0737 12 CoveFesc -.1428 -.2247 -.1799 -.0258 13 CoveCory .8197 -.0484 .4153 -.1280 14 CoveUrti -.3762 -.0200 -.0792 .0512 15 CoveMoeh -.2903 .1919 -.0286 -.1113 16 CoveShru -.1513 .1255 .4075 -.2743 17 MaxHShru -.2512 .4593 -.0168 .0175 18 MinHShru -.2565 .5008 -.0593 .0511 19 CoveLigu -.2498 .0599 .3885 -.3227 20 CoveTree -.3688 .7336 -.0641 -.0908 21 MaxHTree -.3346 .7806 -.4714 .1930 22 CovePopu -.2998 .8523 -.2371 .1241 23 CoveCrat -.3523 .7294 -.4176 .1556 24 Lux grey .5058 -.4754 .0100 .0123 25 Lux sun .6321 -.5556 .1388 .0162 26 Refl Lux .6491 -.5401 .0661 .0341 Van der Aart & Smeen-Enserink: 100 pitfall data (ter Braak 1985) DCA Canonical axes: 0 Covariables: 0 Scaling: -1 DETR-SEGME Rescaling: 4 Segments: 26 Threshold: .00 No transformation BipE: Biplot scores of environmental variables N NAME AX1 AX2 AX3 AX4 R(SPEC,ENV) .9976 .9998 .9998 .9988 1 WaterCon -.5997 -.0238 .0000 .0000 2 Humuscon -.5245 -.0232 .0000 .0000 3 Acidity .5150 .0358 .0000 .0000 4 BareSand .3734 -.0087 .0000 .0000 5 FallTwig -.2862 .3396 .0000 .0000 6 CoveMoss .5282 .0024 .0000 .0000 7 CoveHerb -.1936 -.2996 .0000 .0000 8 MaxHHerb -.5089 .0195 .0000 .0000 9 MinHHerb -.2342 -.1141 .0000 .0000 10 CoveCala -.3903 -.2560 .0000 .0000 11 CoveCare .1876 -.1370 .0000 .0000 12 CoveFesc -.1004 -.0963 .0000 .0000 13 CoveCory .5817 -.0262 .0000 .0000 14 CoveUrti -.2668 -.0062 .0000 .0000 15 CoveMoeh -.2066 .0849 .0000 .0000 16 CoveShru -.1078 .0553 .0000 .0000 17 MaxHShru -.1799 .2005 .0000 .0000 18 MinHShru -.1838 .2185 .0000 .0000 19 CoveLigu -.1775 .0275 .0000 .0000 20 CoveTree -.2643 .3200 .0000 .0000 21 MaxHTree -.2403 .3401 .0000 .0000 22 CovePopu -.2158 .3709 .0000 .0000 23 CoveCrat -.2526 .3180 .0000 .0000 24 Lux grey .3606 -.2091 .0000 .0000 25 Lux sun .4505 -.2446 .0000 .0000 26 Refl Lux .4625 -.2380 .0000 .0000 Van der Aart & Smeen-Enserink: 100 pitfall data (ter Braak 1985) DCA Canonical axes: 0 Covariables: 0 Scaling: -1 DETR-SEGME Rescaling: 4 Segments: 26 Threshold: .00 No transformation CenE: Centroids of environmental variables (mean.gt.0) in ordination diagram N NAME AX1 AX2 AX3 AX4 R(SPEC,ENV) .9976 .9998 .9998 .9988 1 WaterCon 1.1950 .6509 .4805 .4739 2 Humuscon 1.1710 .6490 .4789 .4740 3 Acidity 1.5089 .6699 .4927 .4673 4 BareSand 2.1916 .6469 .6459 .4366 5 FallTwig .7809 1.3065 .4535 .4661 6 CoveMoss 1.8256 .6643 .5255 .4604 7 CoveHerb 1.2984 .5791 .4736 .4731 8 MaxHHerb 1.1778 .6631 .4671 .4785 9 MinHHerb 1.1377 .5571 .4770 .4747 10 CoveCala 1.0819 .4877 .4389 .4861 11 CoveCare 1.5548 .5181 .5065 .4772 12 CoveFesc 1.2103 .5281 .4404 .4675 13 CoveCory 2.9799 .6022 .6837 .4408 14 CoveUrti .9787 .6466 .4648 .4765 15 CoveMoeh .9499 .8130 .4742 .4525 16 CoveShru .9079 .8726 .7739 .3764 17 MaxHShru .8679 1.1737 .4760 .4745 18 MinHShru .8531 1.2254 .4558 .4822 19 CoveLigu .9026 .7209 .6534 .4027 20 CoveTree .8518 1.2376 .4627 .4561 21 MaxHTree .6584 1.6004 .2468 .5173 22 CovePopu .5507 1.9843 .3302 .5093 23 CoveCrat .7125 1.4290 .3000 .5035 24 Lux grey 1.4876 .5842 .4845 .4709 25 Lux sun 1.5451 .5596 .4941 .4711 26 Refl Lux 1.6209 .5282 .4905 .4722 Centroid 1.3524 .6582 .4838 .4705 Van der Aart & Smeen-Enserink: 100 pitfall data (ter Braak 1985) DCA Canonical axes: 0 Covariables: 0 Scaling: -1 DETR-SEGME Rescaling: 4 Segments: 26 Threshold: .00 No transformation SamE: Sample scores which are linear combinations of environmental variables N NAME AX1 AX2 AX3 AX4 WEIGHT N2 EIG .7005 .1666 .0369 .0271 2 Pitf 2 1.7401 .5851 .3889 .4106 217.00 4.82 8 Pitf 8 .8437 .6889 .0001 .5756 160.00 3.76 9 Pitf 9 1.4495 .5917 .3482 .4814 208.00 5.24 11 Pitf 11 .9107 .4906 .2532 .5103 275.00 4.12 16 Pitf 16 .7841 .0632 .5678 .4877 354.00 3.79 19 Pitf 19 .8994 .6692 .8712 .3340 177.00 4.70 24 Pitf 24 .9528 .2919 .4919 .4895 396.00 4.55 29 Pitf 29 .3682 2.0450 .2224 .6035 111.00 3.00 37 Pitf 37 2.5736 .4697 .8283 .5402 32.00 1.50 38 Pitf 38 2.8314 .5329 .8195 .4952 27.00 1.47 39 Pitf 39 2.6833 .5307 .7649 .4642 119.00 1.53 41 Pitf 41 2.4598 .5478 .7129 .4524 147.00 2.19 49 Pitf 49 1.0916 .4733 .4981 .5059 336.00 5.47 50 Pitf 50 .9623 .7609 .4941 .4271 237.00 3.62 54 Pitf 54 .7942 1.9295 .4467 .3807 34.00 1.73 57 Pitf 57 .8155 1.6681 .5572 .3922 43.00 2.18 59 Pitf 59 .9368 1.8225 .4400 .3611 27.00 1.36 60 Pitf 60 .8623 1.9436 .2891 .4496 31.00 1.48 61 Pitf 61 .5562 1.9946 .4359 .4417 39.00 2.38 62 Pitf 62 .6016 2.0813 .3761 .4694 39.00 2.30 74 Pitf 74 .5050 2.1188 .3409 .4998 39.00 2.59 76 Pitf 76 3.8905 .7522 .9086 .8381 30.00 2.76 78 Pitf 78 3.8165 .7419 .5320 .3718 48.00 3.81 79 Pitf 79 3.5894 .7606 .8918 .7913 39.00 2.74 80 Pitf 80 2.0136 .8108 .7818 .4667 61.00 6.03 82 Pitf 82 4.3092 .8830 .1021 .0254 28.00 2.12 83 Pitf 83 3.4920 .6597 .3151 .0190 45.00 2.07 89 Pitf 89 3.6665 .6627 .7168 .5224 38.00 3.13 Centroid 1.3524 .6582 .4838 .4705 Van der Aart & Smeen-Enserink: 100 pitfall data (ter Braak 1985) DCA Canonical axes: 0 Covariables: 0 Scaling: -1 DETR-SEGME Rescaling: 4 Segments: 26 Threshold: .00 No transformation Regr: Regression/canonical coefficients for standardized variables N NAME AX1 AX2 AX3 AX4 EIG .7005 .1666 .0369 .0271 1 AX1 .8964 .1366 .0404 -.0385 2 AX2 .0456 .2582 -.0445 -.0155 3 AX3 .0400 .2759 -.0017 -.0278 4 AX4 -.0142 -.0233 -.0030 -.0101 Van der Aart & Smeen-Enserink: 100 pitfall data (ter Braak 1985) DCA Canonical axes: 0 Covariables: 0 Scaling: -1 DETR-SEGME Rescaling: 4 Segments: 26 Threshold: .00 No transformation tVal: t-values of regression coefficients N NAME AX1 AX2 AX3 AX4 FR EXPLAINED .4503 .0718 .0000 .0000 1 AX1 51.3070 1.1775 .6736 -1.3174 2 AX2 2.2915 1.9554 -.6527 -.4651 3 AX3 3.3284 3.4607 -.0404 -1.3831 4 AX4 -.9614 -.2380 -.0585 -.4104 Van der Aart & Smeen-Enserink: 100 pitfall data (ter Braak 1985) DCA Canonical axes: 0 Covariables: 0 Scaling: -1 DETR-SEGME Rescaling: 4 Segments: 26 Threshold: .00 No transformation CorE: Inter set correlations of environmental variables with axes N NAME AX1 AX2 AX3 AX4 FR EXTRACTED .4224 .1356 .0790 .0210 1 AX1 .9963 -.1973 .3568 -.1726 2 AX2 -.7130 .3758 -.3645 .0217 3 AX3 -.1536 .5772 -.0820 -.2275 4 AX4 -.4062 .1703 -.2212 -.0464 Van der Aart & Smeen-Enserink: 100 pitfall data (ter Braak 1985) DCA Canonical axes: 0 Covariables: 0 Scaling: -1 DETR-SEGME Rescaling: 4 Segments: 26 Threshold: .00 No transformation BipE: Biplot scores of environmental variables N NAME AX1 AX2 AX3 AX4 R(SPEC,ENV) .9979 .6696 .3875 .3604 1 AX1 .7075 -.0918 .0000 .0000 2 AX2 -.5072 .1673 .0000 .0000 3 AX3 -.1111 .2509 .0000 .0000 4 AX4 -.2888 .0763 .0000 .0000 Van der Aart & Smeen-Enserink: 100 pitfall data (ter Braak 1985) DCA Canonical axes: 0 Covariables: 0 Scaling: -1 DETR-SEGME Rescaling: 4 Segments: 26 Threshold: .00 No transformation CenE: Centroids of environmental variables (mean.gt.0) in ordination diagram N NAME AX1 AX2 AX3 AX4 R(SPEC,ENV) .9979 .6696 .3875 .3604 1 AX1 1.8074 .6057 .5233 .4613 2 AX2 1.2054 .7032 .4656 .4710 3 AX3 1.2921 .7899 .4760 .4601 4 AX4 1.2216 .6901 .4666 .4688 Centroid 1.3524 .6582 .4838 .4705 Van der Aart & Smeen-Enserink: 100 pitfall data (ter Braak 1985) DCA Canonical axes: 0 Covariables: 0 Scaling: -1 DETR-SEGME Rescaling: 4 Segments: 26 Threshold: .00 No transformation SamE: Sample scores which are linear combinations of environmental variables N NAME AX1 AX2 AX3 AX4 WEIGHT N2 EIG .7005 .1666 .0369 .0271 2 Pitf 2 1.7241 .6223 .5354 .4679 217.00 4.82 8 Pitf 8 .9361 .7985 .4446 .4707 160.00 3.76 9 Pitf 9 1.4512 .6107 .5021 .4755 208.00 5.24 11 Pitf 11 .9532 .7408 .4537 .4736 275.00 4.12 16 Pitf 16 .7644 .0960 .4501 .5353 354.00 3.79 19 Pitf 19 .9673 1.0498 .4337 .4395 177.00 4.70 24 Pitf 24 .9889 .5748 .4646 .4853 396.00 4.55 29 Pitf 29 .2199 .7215 .3645 .5104 111.00 3.00 37 Pitf 37 2.4703 .6137 .5790 .4667 32.00 1.50 38 Pitf 38 2.7699 .5864 .6205 .4553 27.00 1.47 39 Pitf 39 2.7179 .5626 .6195 .4598 119.00 1.53 41 Pitf 41 2.4380 .5458 .5878 .4697 147.00 2.19 49 Pitf 49 1.1189 .5356 .4596 .4927 336.00 5.47 50 Pitf 50 .9764 1.0499 .4416 .4418 237.00 3.62 54 Pitf 54 .6755 1.5337 .3832 .4038 34.00 1.73 57 Pitf 57 .7622 1.2962 .3923 .4262 43.00 2.18 59 Pitf 59 .8711 1.6592 .3963 .3839 27.00 1.36 60 Pitf 60 .7753 1.4585 .3936 .4100 31.00 1.48 61 Pitf 61 .4414 1.2307 .3711 .4437 39.00 2.38 62 Pitf 62 .4479 1.2191 .3703 .4471 39.00 2.30 74 Pitf 74 .3253 1.1106 .3671 .4625 39.00 2.59 76 Pitf 76 3.8572 .3854 .6738 .3922 30.00 2.76 78 Pitf 78 3.4956 .3773 .6632 .4144 48.00 3.81 79 Pitf 79 3.8981 .3014 .6915 .3989 39.00 2.74 80 Pitf 80 1.9977 .6087 .5519 .4463 61.00 6.03 82 Pitf 82 4.3764 1.5323 .4422 .3000 28.00 2.12 83 Pitf 83 3.6138 -.0026 .7637 .4362 45.00 2.07 89 Pitf 89 3.4438 .1505 .7245 .4303 38.00 3.13 Centroid 1.3524 .6582 .4838 .4705