Description Usage Format Details Source References Examples
Pooled and annual projection matrices of central and marginal populations of monkeyflowers (Mimulus cardinalis and M. lewisii)
1 |
A data frame with 32 matrices, arranged with one matrix per row
species
M. cardinalis or M. lewisii
site
Study site
year
Start year of projection interval or pooled for all three years
a11
matrix element a11; seed to seed transition or seed bank survival
a12
matrix element a12; small nr to seed - fertility
a13
matrix element a13; large nr to seed - fertility
a14
matrix element a14; reprod to seed - fertility
a21
matrix element a21; seed to small nr - growth
a22
matrix element a22; small nr to small nr -stasis
a23
matrix element a23; large nr to small nr - regress
a24
matrix element a24; reprod to small nr - regress
a31
matrix element a31; seed to large nr - growth
a32
matrix element a32; small nr to large nr - growth
a33
matrix element a33; large nr to large nr - stasis
a34
matrix element a34; reprod to large nr - regress
a41
matrix element a41; seed to reprod - growth
a42
matrix element a42; small nr to reprod - growth
a43
matrix element a43; large nr to reprod - growth
a44
matrix element a44; reprod to reprod - stasis
Matrix constructed using a post-breeding census with four stage classes: Seeds, small non-reproductive, large non-reproductive, and reproductive.
http://www.esapubs.org/archive/ecol/E087/126/appendix-E.htm
Amy Lauren Angert. 2006. Demography of central and marginal populations of monkeyflowers (Mimulus cardinalis and M. lewisii). Ecology 87:2014-2025.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | monkeyflower
## convert M. cardinalis rows to list of 16 matrices
A <- subset(monkeyflower, species == "cardinalis")
# use as.matrix to convert data.frame to numeric matrix
A <- split(as.matrix(A[, 4:19]), paste(A$site, A$year))
stages <- c("seed", "sm.nr", "lg.nr", "repro")
## convert to list of 16 matrices
A <- lapply(A, matrix, nrow = 4, byrow = TRUE, dimnames = list(stages, stages))
A[8]
image2(A[[8]], round = 8, mar = c(1, 3, 4.5, 1))
title(paste("M. cardinalis - ", names(A[8])), line = 2.5)
## plot like figure 1A
x <- matrix(sapply(A, lambda), ncol = 4)
colnames(x) <- c("BU", "CA", "RP", "WA")
rownames(x) <- c(2000:2002, "pooled")
x <- x[, c(1, 3, 4, 2)]
colrs <- gray(0:3 / 3)[c(1, 3, 2, 4)]
barplot(x, beside = TRUE, las = 1, col = colrs, ylim = c(0, 2),
ylab = "Population growth rate", main = "Mimulus cardinalis")
box()
abline(h = 1, lwd = .5)
legend(1, 1.95, rownames(x), fill = colrs, bty = "n")
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species site year a11 a12 a13 a14 a21 a22
1 cardinalis Buck Meadows 2000 0.2128 0 2038 9624 2.49e-05 0.0000
2 cardinalis Buck Meadows 2001 0.1840 376 720 1340 2.14e-05 0.0345
3 cardinalis Buck Meadows 2002 0.1840 0 144 916 3.93e-06 0.0000
4 cardinalis Buck Meadows pooled 0.1900 441 1262 3636 2.25e-05 0.0139
5 cardinalis Rainbow Pool 2000 0.1858 0 77 668 5.76e-05 0.2606
6 cardinalis Rainbow Pool 2001 0.1859 8 280 1279 2.39e-05 0.1152
7 cardinalis Rainbow Pool 2002 0.1840 0 28 1210 1.82e-04 0.0143
8 cardinalis Rainbow Pool pooled 0.1900 3 125 1003 5.44e-05 0.1345
9 cardinalis Wawona 2000 0.2315 5612 38931 133773 2.43e-05 0.0559
10 cardinalis Wawona 2001 0.2056 2778 26853 87287 2.01e-05 0.0702
11 cardinalis Wawona 2002 0.1840 241 1739 14790 1.10e-05 0.1437
12 cardinalis Wawona pooled 0.2000 1980 14162 65242 2.05e-05 0.1018
13 cardinalis Carlon 2000 0.2239 936 14496 41089 3.77e-05 0.0339
14 cardinalis Carlon 2001 0.1840 1209 20127 67161 3.14e-05 0.0615
15 cardinalis Carlon 2002 0.2015 99 3396 24261 3.92e-05 0.0062
16 cardinalis Carlon pooled 0.2100 893 10987 48924 3.98e-05 0.0349
17 lewisii Wawona 2000 0.0280 0 0 23488 1.39e-05 0.0000
18 lewisii Wawona 2001 0.0280 0 9754 11379 3.97e-06 0.0000
19 lewisii Wawona 2002 0.0280 0 1782 9505 6.34e-06 0.2000
20 lewisii Wawona pooled 0.0300 0 423 19468 8.80e-06 0.0303
21 lewisii Carlon 2000 0.0353 719 2810 13588 4.32e-05 0.0909
22 lewisii Carlon 2001 0.0280 0 1350 12680 8.89e-06 0.0476
23 lewisii Carlon 2002 0.0611 953 3540 21336 4.63e-05 0.0769
24 lewisii Carlon pooled 0.0400 238 2385 15124 3.12e-05 0.0594
25 lewisii May Lake 2000 0.0326 0 24199 89430 3.77e-06 0.0467
26 lewisii May Lake 2001 0.0280 749 17896 65717 7.46e-06 0.0860
27 lewisii May Lake 2002 0.0302 0 8543 34830 4.88e-06 0.0566
28 lewisii May Lake pooled 0.0300 124 16586 63041 6.49e-06 0.0569
29 lewisii Warren Fork 2000 0.0280 0 22612 99899 5.55e-05 0.1250
30 lewisii Warren Fork 2001 0.0404 990 29380 112532 2.36e-05 0.2358
31 lewisii Warren Fork 2002 0.0280 0 8286 78268 3.63e-05 0.1149
32 lewisii Warren Fork pooled 0.0300 528 15064 96077 3.41e-05 0.1840
a23 a24 a31 a32 a33 a34 a41 a42 a43 a44
1 0.0000 0.0000 3.74e-05 0.0000 0.3529 0.5000 8.31e-07 0.0000 0.0588 0.2778
2 0.0104 0.0000 2.14e-05 0.2759 0.3229 0.2632 0.00e+00 0.1034 0.1979 0.3684
3 0.0000 0.0000 2.23e-05 0.0303 0.3662 0.2069 0.00e+00 0.0000 0.0704 0.4483
4 0.0043 0.0000 3.26e-05 0.1250 0.3447 0.3725 3.46e-07 0.0417 0.1191 0.3431
5 0.0643 0.0076 1.57e-05 0.0904 0.4143 0.3106 1.16e-06 0.0000 0.0500 0.4318
6 0.0051 0.0000 1.66e-05 0.1264 0.3299 0.3205 7.10e-07 0.0028 0.1066 0.4872
7 0.0149 0.0000 1.59e-04 0.0429 0.1940 0.2258 0.00e+00 0.0000 0.0100 0.4355
8 0.0242 0.0037 2.39e-05 0.0994 0.3011 0.2941 1.08e-06 0.0015 0.0558 0.4485
9 0.0125 0.0000 2.94e-06 0.0721 0.3625 0.0805 2.90e-07 0.0342 0.2375 0.8161
10 0.0511 0.0000 3.06e-06 0.1020 0.2482 0.1488 1.82e-07 0.0234 0.2263 0.7355
11 0.0338 0.0000 1.68e-06 0.1106 0.3768 0.2055 0.00e+00 0.0101 0.0725 0.6164
12 0.0354 0.0000 2.90e-06 0.0954 0.3325 0.1554 1.60e-07 0.0214 0.1533 0.7062
13 0.0769 0.0000 3.70e-06 0.0435 0.4231 0.1316 7.41e-07 0.0174 0.2692 0.7632
14 0.0244 0.0000 3.46e-06 0.1154 0.3537 0.0909 0.00e+00 0.0154 0.2561 0.8545
15 0.0000 0.0000 3.94e-05 0.0372 0.2951 0.1343 5.49e-07 0.0031 0.1066 0.7612
16 0.0174 0.0000 1.68e-05 0.0574 0.3304 0.1188 4.72e-07 0.0145 0.1783 0.7938
17 0.0000 0.0000 1.64e-06 0.0000 0.5000 0.0556 0.00e+00 0.0000 0.0000 0.7778
18 0.0000 0.0000 7.95e-07 0.0000 0.2857 0.1429 0.00e+00 0.0000 0.4286 0.5000
19 0.0000 0.0000 1.59e-05 0.0000 0.5500 0.2000 0.00e+00 0.0000 0.1500 0.8000
20 0.0000 0.0000 1.35e-06 0.0000 0.5500 0.1190 0.00e+00 0.0000 0.1500 0.6905
21 0.0263 0.0000 1.05e-05 0.2727 0.5132 0.3248 3.08e-07 0.0303 0.1184 0.5726
22 0.0000 0.0000 2.78e-06 0.1224 0.4528 0.2500 0.00e+00 0.0000 0.0629 0.5909
23 0.0286 0.0000 7.80e-05 0.0256 0.2000 0.1296 8.90e-07 0.0256 0.0952 0.5741
24 0.0168 0.0000 2.92e-05 0.1279 0.4111 0.2587 3.80e-07 0.0091 0.0913 0.5792
25 0.0625 0.0000 1.24e-06 0.0272 0.6094 0.0652 4.77e-08 0.0000 0.2500 0.9239
26 0.0000 0.0000 2.91e-07 0.2366 0.6081 0.0286 0.00e+00 0.0108 0.2568 0.9429
27 0.0260 0.0000 5.90e-07 0.0755 0.5714 0.1017 5.37e-08 0.0000 0.2078 0.8475
28 0.0279 0.0000 7.79e-07 0.0801 0.5953 0.0667 3.46e-08 0.0018 0.2372 0.9016
29 0.0909 0.0000 3.51e-06 0.0000 0.5152 0.1639 0.00e+00 0.0000 0.1818 0.8033
30 0.0345 0.0000 3.88e-06 0.1992 0.5862 0.0755 1.02e-07 0.0081 0.2414 0.9245
31 0.0230 0.0000 9.26e-07 0.0920 0.6609 0.1286 0.00e+00 0.0000 0.0862 0.8143
32 0.0340 0.0000 2.23e-06 0.1505 0.6241 0.1250 2.69e-08 0.0046 0.1321 0.8424
$`Carlon pooled`
seed sm.nr lg.nr repro
seed 2.10e-01 893.0000 10987.0000 48924.0000
sm.nr 3.98e-05 0.0349 0.0174 0.0000
lg.nr 1.68e-05 0.0574 0.3304 0.1188
repro 4.72e-07 0.0145 0.1783 0.7938
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