Ana səhifə

# Species Family

Yüklə 0.58 Mb.
 səhifə 3/3 tarix 25.06.2016 ölçüsü 0.58 Mb.
1   2   3
 S 3 Results of logistic regression analyses. These are presented for 1) lakes (space) and 2) seasons (time). Lakes and seasons are treated as categorical variables. The response variable is rarity status with the model asking the probability of detecting whether a species is ‘rare locally’ based on its occurrence (in space or time) and its body size (log wet weight in g). In each case we examine four different definitions of ‘rare locally’ using information on the species in six other habitats in the reserve. These are a) present in at least two other habitats; b) present in at least 3 other habitats; c) present in at least 2 other habitats or at least 0.5% relative abundance when present anywhere; d) present in at least 2 other habitats or at least 1% relative abundance when present anywhere. (See ESM 2 for more details). A graph of the predicted probabilities (with 95% confidence limits) is presented in each case. This was created using ggplot2 following http://www.ats.ucla.edu/stat/r/dae/logit.htm. 1. LAKES present in at least 2 other habitats Deviance Residuals: Min 1Q Median 3Q Max -1.9285 -0.9036 -0.6989 0.9530 1.7507 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -1.37917 0.38728 -3.561 0.000369 *** log10size 0.86555 0.35038 2.470 0.013500 * lakes2 0.05968 0.50039 0.119 0.905056 lakes3 -0.25545 0.79585 -0.321 0.748228 lakes4 1.13752 0.52774 2.155 0.031127 * lakes5 1.52289 0.54121 2.814 0.004896 ** Figure a. Probability of being regionally rare in relation to log10 body size, and lake number, when rare locally is defined as being present in two other habitat types. present in at least 3 other habitats Deviance Residuals: Min 1Q Median 3Q Max -1.6249 -0.7664 -0.6075 0.9972 2.0443 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -2.1121 0.4536 -4.656 <0.0001 *** log10size 0.9225 0.3673 2.511 0.01202 * lakes2 0.2058 0.5654 0.364 0.71587 lakes3 -0.1771 0.9008 -0.197 0.84415 lakes4 0.4694 0.5823 0.806 0.42014 lakes5 1.4734 0.5384 2.736 0.00621 ** Figure b. Probability of being regionally rare in relation to log10 body size, and lake number, when rare locally is defined as being present in three other habitat types. present in at least 2 other habitats or at least 0.5% relative abundance when present anywhere Deviance Residuals: Min 1Q Median 3Q Max -1.9811 -0.9767 0.5972 1.0842 1.5786 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -0.9549 0.3684 -2.592 0.00953 ** log10size 0.4981 0.3440 1.448 0.14768 lakes2 0.5475 0.4743 1.154 0.24839 lakes3 0.2108 0.7438 0.283 0.77688 lakes4 1.3877 0.5363 2.587 0.00967 ** lakes5 1.8759 0.5791 3.239 0.00120 ** Figure c. Probability of being regionally rare in relation to log10 body size, and lake number, when rare locally is defined as being present in at least two other habitat types or at least 0.5% of total abundance when present. present in at least 2 other habitats or at least 1% relative abundance when present anywhere Deviance Residuals: Min 1Q Median 3Q Max -1.8885 -0.9361 -0.8014 0.9793 1.5861 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -0.97408 0.36818 -2.646 0.00815 ** log10size 0.52551 0.34258 1.534 0.12503 lakes2 -0.05396 0.48937 -0.110 0.91220 lakes3 0.20086 0.74456 0.270 0.78734 lakes4 1.38611 0.53675 2.582 0.00981 ** lakes5 1.63433 0.55247 2.958 0.00309 ** Figure d. Probability of being regionally rare in relation to log10 body size, and lake number, when rare locally is defined as being present in at least two other habitat types or at least 1% of total abundance when present. 2. SEASONS a) present in at least 2 other habitats Deviance Residuals: Min 1Q Median 3Q Max -1.9322 -0.8791 -0.6936 0.9662 1.7669 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -1.3968 0.3831 -3.646 0.000266 *** log10size 0.8981 0.3483 2.578 0.009926 ** seasons2 -0.1555 0.4863 -0.320 0.749207 seasons3 1.1740 0.5662 2.074 0.038119 * seasons4 1.4909 0.4930 3.024 0.002495 ** Figure a. Probability of being regionally rare in relation to log10 body size, and season number, when rare locally is defined as being present in at least two other habitat types. b) present in at least 3 other habitats Deviance Residuals: Min 1Q Median 3Q Max -1.5600 -0.7483 -0.5678 1.0134 2.0713 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -2.1666 0.4503 -4.811 <0.0001 *** log10size 0.9561 0.3627 2.636 0.00839 ** seasons2 -0.1571 0.5720 -0.275 0.78357 seasons3 0.9665 0.5870 1.646 0.09966 . seasons4 1.3238 0.5000 2.648 0.00810 ** Figure b. Probability of being regionally rare in relation to log10 body size, and season number, when rare locally is defined as being present in at least three other habitat types. present in at least 2 other habitats or at least 0.5% relative abundance when present anywhere Deviance Residuals: Min 1Q Median 3Q Max -1.948 -1.002 0.593 1.045 1.526 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -0.80056 0.35602 -2.249 0.02453 * log10size 0.57940 0.33887 1.710 0.08731 . seasons2 -0.03185 0.45528 -0.070 0.94423 seasons3 1.07981 0.56577 1.909 0.05632 . seasons4 1.49990 0.50857 2.949 0.00319 ** Figure c. Probability of being regionally rare in relation to log10 body size, and season number, when rare locally is defined as being present in at least two other habitat types or at least 0.5% of total abundance when present. present in at least 2 other habitats or at least 1% relative abundance when present anywhere Deviance Residuals: Min 1Q Median 3Q Max -1.9502 -0.9500 -0.7793 1.0848 1.6061 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -0.9438 0.3617 -2.610 0.00907 ** log10size 0.5850 0.3390 1.725 0.08444 . seasons2 -0.1716 0.4672 -0.367 0.71339 seasons3 0.9775 0.5525 1.769 0.07688 . seasons4 1.6387 0.5105 3.210 0.00133 ** Figure d. Probability of being regionally rare in relation to log10 body size, and season number, when rare locally is defined as being present in at least two other habitat types or at least 1% of total abundance when present. 1. Wickham H. 2009 ggplot2: elegant graphics for data analysis. New York, Springer. S 4 Distribution of body size (log10 wet weight)  
1   2   3

Verilənlər bazası müəlliflik hüququ ilə müdafiə olunur ©atelim.com 2016
rəhbərliyinə müraciət