ELE1046SA1

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Supplemental Material for Carlson et al. “Four decades of opposing natural and
human-induced artificial selection acting on Windermere pike (Esox lucius)”
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APPENDIX S1
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Recapture probabilities
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Using the software MARK (White & Burnham 1999), we fit 37 years of CMR data
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(Haugen et al. 2006) to a multistate model structure known as the Conditional Arnason
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Schwarz model (Brownie et al. 1993; Nichols & Kendall 1995) to generate estimates of
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the seasonal recapture probabilities (Table S1). As sampling occasions lasted for 3
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months, we pooled all captures into a mid-point date within each period, which is
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equivalent to saying that two individuals captured less than 3 months apart were defined
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to be captured at the same date.
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In the current study, we wanted to estimate the seasonal recapture probabilities
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over the four capture occasions following each spring occasion (the reference occasion,
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a, at which the individuals were measured). Hence, with respect to the recapture
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parameters, we fit a combined age and cohort model, where each cohort (i.e., individuals
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that were measured at the same reference occasion) was estimated to have unique
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occasion-specific (t) recapture probabilities over the four subsequent occasions following
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the reference occasion. For occasions beyond the fourth relative occasion the model was
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constrained to estimate constant seasonal recapture probabilities. Hence, the capture
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probability model fitted was:
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 a   t , if t - a  5
Pr( p)  
, if t - a  5
 t .
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where  and  are coefficients under estimation on a logit scale. The t notion corresponds
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to constant season-wise estimates. The survival part of the model was constrained so as to
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vary over time (annual scale) with an additive effect of basin (Pr(S) = basin + t), whereas
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the dispersal probabilities () were constrained to be basin-specific and constant over
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time on an annual scale (Pr() = basin, see also Haugen et al. 2006). In total, the model
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fitted involved 214 parameters, of which 198 were estimable. The logit parameters were
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estimated by numerically maximizing the log-likelihood function with respect to the
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parameters using the software MARK (White & Burnham 1999). Owing to data
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sparseness in the 1980s, all season-specific parameters were constrained to similar for the
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1980 to 1986 period. The model fitted was over-dispersed, so confidence intervals were
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adjusted using variance inflation factor ofthat was retrieved from the model’s 2
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divided by its degrees-of-freedom.
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Note also that the long lifespan of Windermere pike (up to 17 years, Frost &
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Kipling 1967) combined with multiple recapture events facilitated our ability to recapture
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fish that were still alive (see also Fig. S1).
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References
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Brownie, C., Hines, J.E., Nichols, J.D., Pollock, K.H. & Hestbeck, J.B. (1993). Capture-
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recapture studies for multiple strata including non-Markovian transitions.
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Biometrics, 49, 1173-1187.
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Frost, W.E. & Kipling, C. (1967). A study of reproduction, early life, weight-length
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relationship and growth of pike, Esox lucius L., in Windermere. J. Anim. Ecol.,
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36, 651-693.
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Haugen, T.O., Winfield, I.J., Vøllestad, L.A., Fletcher, J.M., James, J.B. & Stenseth, N.C.
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(2006). The ideal free pike: 50 years of fitness-maximizing dispersal in
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Windermere. Proc. R. Soc. Lond. B., 273, 2917-2924.
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623
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Nichols, J.D. & Kendall, W.L. (1995). The use of multi-state capture-recapture models to
address questions in evolutionary ecology. J. Appl. Stat., 22, 835-846.
White, G.C. & Burnham, K.P. (1999). Program MARK: survival estimation from
populations of marked animals. Bird Study, 46, 120-139.
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Table S1 Using the
Program MARK, we calculated the probability of recapturing an
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individual given that it was still alive (see Methods). In particular, we calculated this
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parameter for each of the first four samples following the spring sampling occasion
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during which body length was measured.
relative recapture occasion
season
1953
1954
1955
1956
1957
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980-1986
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632
633
634
635
636
637
638
639
640
1
2
3
4
winter
spring
winter
spring
0.18 (0.06)
0.13 (0.03)
0.29 (0.06)
0.23 (0.06)
0.24 (0.09)
0.16 (0.04)
0.14 (0.03)
0.11 (0.03)
0.08 (0.03)
0.28 (0.04)
0.45 (0.05)
0.30 (0.08)
0.44 (0.08)
0.40 (0.07)
0.33 (0.05)
0.24 (0.03)
0.20 (0.03)
0.19 (0.03)
0.35 (0.04)
0.37 (0.06)
0.30 (0.07)
0.37 (0.09)
0.27 (0.06)
0.23 (0.12)
0.20 (0.07)
0.19 (0.07)
0.34 (0.12)
0.21 (0.02)
0.34 (0.11)
0.14 (0.04)
0.14 (0.06)
0.33 (0.10)
0.05 (0.05)
0.16 (0.07)
0.36 (0.07)
0.18 (0.05)
0.24 (0.06)
0.30 (0.05)
0.27 (0.07)
0.09 (0.06)
0.04 (0.04)
0.54 (0.11)
0.23 (0.08)
0.27 (0.06)
0.25 (0.05)
0.20 (0.04)
0.19 (0.05)
0.24 (0.07)
0.16 (0.07)
0.14 (0.09)
0.18 (0.07)
0.13 (0.12)
0.09 (0.06)
0 (Not estimable)
0.02 (0.04)
0.06 (0.02)
0.43 (0.12)
0.18 (0.04)
0.53 (0.12)
0.43 (0.11)
0.44 (0.15)
0.21 (0.07)
0.26 (0.06)
0.16 (0.04)
0.29 (0.06)
0.37 (0.06)
0.44 (0.08)
0.32 (0.12)
0.31 (0.12)
0.61 (0.14)
0.25 (0.08)
0.33 (0.06)
0.28 (0.05)
0.42 (0.06)
0.58 (0.07)
0.37 (0.10)
0.70 (0.12)
0.32 (0.12)
0.53 (0.09)
0.40 (0.18)
0.33 (0.17)
0.32 (0.10)
0.33 (0.22)
0.33 (0.05)
0.25 (0.15)
0.03 (0.02)
0.28 (0.16)
0.26 (0.13)
0.11 (0.10)
0.27 (0.10)
0.21 (0.08)
0.24 (0.06)
0.36 (0.09)
0.19 (0.07)
0.17 (0.08)
0.24 (0.15)
0.25 (0.16)
0.26 (0.21)
0.12 (0.08)
0.07 (0.04)
0.37 (0.08)
0.27 (0.08)
0.28 (0.10)
0.09 (0.06)
0 (0)
0.31 (0.17)
0.25 (0.11)
0.22 (0.2)
0 (0)
0.08 (Not estimable)
0 (Not estimable)
0.05 (0.02)
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Figure S1 Cumulative
number of recaptures as a proportion of the total recaptures from a
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given focal spring as a function of the relative recapture event (1 = winter of focal year, 2
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= following spring, and so on). All fish that were never recaptured were assumed dead for
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the natural selection analysis and were assigned a fitness of zero. This plot illustrates the
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importance of multiple recapture occasions to our fitness assignments as all fish that were
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alive at the end of the period of interest (i.e., at the winter sample in the focal year,
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relative recapture occasion = 2) were not captured in the winter sample. Rather, many of
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these individuals were captured during some future sampling event (i.e., relative
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recapture occasion > 2). Multiple sampling occasions thus minimized the probability that
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we incorrectly assigned a fish that was alive a fitness of zero. Each line represents the
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data included in one selection analysis (i.e., one focal year). In particular, we plotted the
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proportion of new recaptures for every fifth year included in the natural selection analysis
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(i.e., 1953, 1958, 1963, 1968, 1973, 1978, 1983)
0.0
0.2
0.4
0.6
from a given focal spring
0.8
cumulative number of recaptures as a proportion of total recaptures
1.0
Figure S1
5
10
15
relative recapture occasion
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