Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 5 ppt

Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 5 ppt

Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 5 ppt

... À(S/K))? 0 5 10 15 20 25 30 35 40 45 50 0 50 100 150 200 250 (a) (b) (c) Time 0 5 10 15 20 25 30 35 40 45 50 Time S, I, or R S, I, or R R S I 0 50 100 150 200 250 300 0 50 100 150 200 250 Time S, ... size (b) 0 5 10 15 20 25 30 35 40 45 50 Time 0 5 10 15 20 25 30 35 (a) 40 45 50 0 50 100 150 200 250 300 350 Time Population size Parasites Hosts (d)...

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Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 2 pptx

Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 2 pptx

... 40 50 60 70 80 90 100 0 50 100 150 Time, t Population size, N (t ) (d) 0 5 10 15 20 25 30 35 40 45 50 0 50 100 150 (c) Time, t Population size, N (t ) 0 5 10 15 20 25 30 35 40 45 50 0 50 100 150 (b) Time, ... and 200 –1 .5 –1 –0 .5 0 0 .5 x (t ) 1 1 .5 2 2 .5 (c) 250 300 350 t 400 450 50 0 0 –1 .5 –1 –0 .5 0 0 .5 x (t ) 1 1 .5 2 2 .5 (b) 100 200 300 t 4...

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Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 7 pptx

Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 7 pptx

... 910 1 .5 2 2 .5 3 3 .5 4 4 .5 5 5. 5 6 (a) X(t ) t t 0 1 2 3 4 5 6 7 8 910 2.8 3 3.2 3.4 3.6 3.8 4 4.2 4.4 (c) X(t ) t 0 1 2 3 4 5 6 7 8 910 3 3 .5 4 (b) 4 .5 X(t ) 0 1 2 3 4 5 6 7 8 910 2 .5 3 3 .5 4 4 .5 5 (d) 5. 5 t X(t ... summation GðtÞ¼lim N!1 X N j¼0 e t j dW j (7: 45) 0 0. 05 0.1 0. 15 0.2 0. 25 0.3 0. 35 5 –4 –3 –2 –1 0 1 2 3 4 ×10 –3 t Y(t ) Figure 7.12. Fi...

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Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 1 potx

Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 1 potx

... these animals in Chapter 4), the 0. 050 0 0.2 0.4 Survival, S(x) 0.6 0.8 1 (a) 0.1 0. 15 E gg size, x 0.2 0. 05 0 0 50 0 1000 Reproductive success, R( 450 , x) 150 0 2000 250 0 (b) 0.1 0. 15 E gg size, ... undergraduates, graduate students, post-docs, and even those beyond) who wants to develop the intuition and skills required for reading the literature in theoretical and...

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Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 3 doc

Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 3 doc

... 4 5 6 7 8 910 0 50 100 150 200 250 300 350 m SSQ( m) n = 5 n = 10 Figure 3.9. The sum of squared deviations for estimate of an unknown value M by the data 6.4694, 5. 096, 6.0 359 , 5. 37 25, 6 .53 54, ... maximum likelihood k 0 5 (a) 10 15 0 0. 05 0.1 0. 15 0.2 0. 25 Pr(K = k) 0 5 10 15 0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 (b) k Pr(K=k) 0 5 10 15 0 0....

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Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 4 pot

Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 4 pot

... 30 0 20 40 60 80 100 120 140 160 (c) Generation Population size Hosts Parasitoids 0 5 10 15 20 25 30 0 5 10 15 20 25 30 35 40 45 50 (a) Generation Population size Hosts Parasitoids 0 5 10 15 20 25 30 0 10 20 30 40 50 60 70 (b) Generation Population ... size Hosts (a) Parasitoids (b) 0 5 10 15 20 25 30 0 50 100 150 200 250 300 Generation Population size Hosts Para...

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Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 6 pot

Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 6 pot

... fishing effort E and the effectiveness, q, of that eff ort in r (per year) T (8C) 0.23 1. 75 0.17 0.0 0.27 1. 75 0.2 1.0 0.31 2 .5 0. 15 1. 75 0.36 3. 75 0.36 3.76 0.6 8.0 0.74 7.0 0 .53 5. 0 r (per ... of L T (x-axis) vs K (y-axis) and show K Ã and L Ã T . (e) From Chapter 3, we know that the 95% confidence interval for the carrying capacity are the values of K for which...

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Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 8 docx

Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 8 docx

... as T nn þ 2r v T n ¼ 2 v (8:32) 0 –20 –10 0 10 log(Population size) 20 30 40 5 10 15 t 20 25 (b) 0 –10 5 0 5 log(Population size) 10 15 510 15 t 20 25 (c) (a) Figure 8 .5. (a) The Alabama Beach Mouse, and projections (in 2002) of population ... 0.328 0.21 3 0. 252 0.39 4 0.182 0. 95 5 0.142 1.32 6 0.0 85 1.48 7 0. 057 2. 45 8 0.031 3.78 9 0.021 2 .56 10 0.014 4.07 11 0.0...

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Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - References pdf

Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - References pdf

... strategies, and quantitative genetics. Evolutionary Ecology, 6, 152 –169. Mangel, M. (1998). No-take areas for sustainability of harvested species and a conservation invariant for marine reserves. Ecology ... Quarterly Review of Biology, 65, 43 52 . Moerland, T. S. (19 95) . Temperature: enzyme and organelle. In P. Hochackha and T. P. Mommsen (editors) Biochemistry and...

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applied quantitative methods for trading and investment- dunis 2003

applied quantitative methods for trading and investment- dunis 2003

... 0.037436 −0.77 456 1 0.4387 MA(1) −0.000884 0.038411 −0.023012 0.9816 MA(3) −0.0 150 96 0.02 653 8 −0 .56 8839 0 .56 96 MA(6) −0.01 458 4 0.026 053 −0 .55 9792 0 .57 57 MA(10) 0.029482 0.0 353 69 0.83 356 3 0.4047 RESID(−1) ... Std. error t -Statistic Prob. C 8.33E-07 0.000144 0.0 057 76 0.9 954 AR(1) 0.000600 0.040612 0.014773 0.9882 AR(3) 0.01 954 5 0.0 358 86 0 .54 4639 0 .58 61 AR(6) 0.0...

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