PLANTS:
Species |
Higher-level taxon |
Study location and habitat |
No. of variable vital rates1 |
No. of life stages |
No. of estimates per vital rate |
Environment |
Longevity |
Reference |
Alaria nana |
Alga |
|
9 |
3 |
4 |
IID |
Short |
Pfister and Wang (2005) |
Ardisia escallonioides |
Dicotyledonae |
|
36 (2) |
8 |
7 |
Markov2 |
Long |
Pascarella and Horvitz (1998) |
Ardisia elliptica |
Dicotyledonae |
|
15 (7) |
8 |
3 |
Markov3 |
Long |
Koop and Horvitz (2005) |
Argyroxyphium sandwicense(Maui silversword) |
Dicotyledonae |
Hawaii, USA/montane |
18 |
7 |
17 |
IID |
Long |
Forsyth (2002) |
Calathea ovandensis |
Dicotyledonae |
|
41 (3) |
8 |
4 |
Markov4 |
Long |
Horvitz and Schemske (1995) |
Collinsia verna (Blue-eyed Mary) |
Dicotyledonae |
|
6 (2) |
8 |
3 |
IID |
Short |
|
Dicerandra frutescens |
Dicotyledonae |
|
26 (2) |
6 |
59 |
Markov5 |
Long |
Menges et al. (2006) |
Eriogonum longifolium |
Dicotyledonae |
|
1912 |
5 |
58 |
Markov5 |
Long |
Satterthwaite et al. (2002) |
Eryngium capitatum |
Dicotyle-donae |
|
25 (2) |
6 |
73 |
Markov5 |
Long |
Menges and Quintana-Ascencio (2004) |
Heliconia acuminata |
Monocoty-ledonae |
|
31 (1) |
6 |
5 |
IID |
Long |
Bruna (2003), Bruna and Oli (2005) |
Hudsonia
|
Dicotyle-donae |
North Carolina, USA/cliff edges |
19 (2) |
6 |
4 |
Markov6 |
Long |
Frost (1990), Gross et al. (1998) |
Pleurophycus gardneri |
Alga |
Washington, USA/intertidal |
10 |
3 |
79 |
IID |
Long |
C. Pfister, unpublished data |
Postelsia palmaeformis (Sea palm) |
Alga |
Washington, USA/intertidal |
8 |
3 |
5 |
IID |
Short |
C. Pfister, unpublished data |
Silene acaulis (Moss campion) |
Dicotyle-donae |
|
49 (5) |
12 |
5 |
IID |
Long |
Morris and Doak (2005) |
Trillium grandiflorum |
Monocotyle-donae |
|
14 (1) |
6 |
4 |
IID |
Long |
Kalisz et al. (2001), Knight (2004) |
ANIMALS:
Species |
Higher-level taxon |
Study location and habitat |
No. variable vital rates1 |
No.stages |
No. estimates per vital rate |
Environment |
Longevity |
Reference |
Ambystoma tigrinum |
Amphibia |
|
76 (53)10, 13 |
12 |
4 |
IID |
Long |
Church (2004) |
Andraca bipunctata |
Insecta: Lepidoptera |
N.E.
|
8 |
1 |
1011 |
IID |
Short |
Banerjee (1979) |
Bupalis piniarius |
Insecta: Lepidoptera |
|
5 |
1 |
15 |
IID |
Short |
Klomp (1966) |
Calidris pusilla (semipalmated sandpiper) |
Aves |
|
4 (3) |
3 |
69 |
IID |
Long |
Hitchcock and Gratto-Trevor (1997) |
Capreolus capreolus (Roe deer) |
Mammalia |
|
7 (1) |
4 |
14 |
IID |
Long |
Gaillard et al. (1993, 1997) |
Cervus elaphus (Elk) |
Mammalia |
Wyoming, USA/grassland |
8 |
5 |
23 |
Markov7 |
Long |
Varley and Boyce (2006) |
Cervus elaphus (Red deer) |
Mammalia |
|
10 |
5 |
27 |
Markov7 |
Long |
Coulson et al. (1997) |
Colias alexandra |
Insecta: Lepidoptera |
|
7 |
1 |
5 |
IID |
Short |
Hayes (1981) |
Euphydryas gillettii |
Insecta: Lepidoptera |
|
5 |
1 |
6 |
IID |
Short |
C. Boggs, unpublished data |
Grus
|
Aves |
|
3 |
3 |
64 |
IID |
Long |
Boyce et al. (2005) |
Leptidea sinapis |
Insecta: Lepidoptera |
|
7 |
1 |
69 |
IID |
Short |
Warren et al. (1986) |
Leptinotarsa decemlineata |
Insecta: Coleoptera |
|
7 |
1 |
6 |
IID |
Short |
Harcourt (1971) |
Leptohylemyia coarctata |
Insecta: Diptera |
|
3 |
1 |
8 |
IID |
Short |
Bardner et al. (1973) |
Mesopsocus immunis |
Insecta: Psocoptera |
|
4 |
1 |
4 |
IID |
Short |
Broadhead and Wapshere (1966) |
Mesopsocus unipunctatus |
Insecta: Psocoptera |
|
4 |
1 |
4 |
IID |
Short |
Broadhead and Wapshere (1966) |
Oreamnos americanus (Mountain goat) |
Mammalia |
|
8 (1) |
6 |
11 |
IID |
Long |
Festa-Bianchet et al. (1994, 2003) |
Ovis aries (Soay sheep) |
Mammalia |
|
7 |
3 |
18 |
Markov8 |
Long |
Coulson et al. (2001) |
Ovis canadensis (Bighorn sheep) |
Mammalia |
|
5 |
3 |
16 |
IID |
Long |
Festa-Bianchet et al. (1995), Jorgenson et al. (1997) |
Rangifer tarandus (Reindeer) |
Mammalia |
|
3 (2) |
3 |
8 |
IID |
Long |
Milner et al. (2003) |
Scolytus ventralis |
Insecta: Coleoptera |
|
3 |
1 |
5 |
IID |
Short |
Berryman (1973) |
Tyria jacobaeae |
Insecta: Lepidoptera |
|
6 |
1 |
5 |
IID |
Short |
Dempster (1971) |
1 Number of non-varying vital rates in parentheses. In 14 of the 36 studies, a subset of the vital rates were either found to show no significant variation from year to year, or were not measured every year, typically for logistical reasons (for example, many demographic studies of plants do not measure survival of seeds in the soil every year). Although we used these constant vital rates (along with variable rates) to construct annual projection matrices, we did not include their elasticities in our analysis.
2 Based on time since last hurricane; multiple locations used to estimate sequence of vital rates following hurricane; standard deviation elasticity computed by perturbing vital rates around the phase-specific means at each phase of the disturbance/recovery cycle.
3 Based on annual rainfall; standard deviation elasticity computed by perturbing vital rates about their overall means.
4 Based on El Niño Southern Oscillation (ENSO); standard deviation elasticity computed by perturbing vital rates about their overall means, because multiple estimates of vital rates at each ENSO phase were not available.
5 Based on time since last fire; multiple locations used to estimate sequence of vital rates following fire; standard deviation elasticity computed by perturbing vital rates around the phase-specific means at each phase of the fire cycle.
6 Based on time since last fire; controlled burn used to estimate vital rates vs. time since fire; standard deviation elasticity computed by perturbing vital rates around the phase-specific means at each phase of the fire cycle.
7 Based on sequence of years defined by overall population density. Environmental states were defined by quantiles of the observed distribution of total population density, and the observed temporal sequence of densities was used to estimate state transition probabilities. Standard deviation elasticities were computed by perturbing vital rates around the phase-specific means at each density phase.
8 Based on sequence of lamb survival probability (an index of density). Environmental states were defined by low, medium, or high lamb survival, and the observed temporal sequence of lamb survival probabilities was used to estimate state transition probabilities. Standard deviation elasticities were computed by perturbing vital rates around the phase-specific means at each density phase.
9 Mean values used for some vital rates in some years.
10 Includes pond-specific vital rates for males and females, plus dispersal rates among ponds.
11 Number of generations (4 generations/year in non-seasonal tropical environment).
12 Probability of entering adult dormancy was treated as a reversion rate.
13 Probability of skipping breeding was treated as a reversion rate.
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