Demographic heterogeneity impacts density-dependent population dynamics

被引:35
|
作者
Stover, Joseph P. [1 ]
Kendall, Bruce E. [2 ]
Fox, Gordon A. [3 ]
机构
[1] Univ Calif Santa Barbara, Earth Res Inst, Santa Barbara, CA 93106 USA
[2] Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 93106 USA
[3] Univ S Florida, Dept Integrat Biol, Tampa, FL 33620 USA
基金
美国国家科学基金会;
关键词
Demographic heterogeneity; Individual variation; Frailty; Cohort selection; Logistic model; NUMBER TRADE-OFFS; EXTINCTION RISK; INDIVIDUAL VARIATION; SURVIVAL ANALYSIS; 2-SEX MODELS; SEX-RATIO; STOCHASTICITY; MORTALITY; SIZE; HABITAT;
D O I
10.1007/s12080-011-0129-x
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Among-individual variation in vital parameters such as birth and death rates that is unrelated to age, stage, sex, or environmental fluctuations is referred to as demographic heterogeneity. This kind of heterogeneity is prevalent in ecological populations, but is almost always left out of models. Demographic heterogeneity has been shown to affect demographic stochasticity in small populations and to increase growth rates for density-independent populations. The latter is due to "cohort selection," where the most frail individuals die out first, lowering the cohort's average mortality as it ages. The importance of cohort selection to population dynamics has only recently been recognized. We use a continuous-time model with density dependence, based on the logistic equation, to study the effects of demographic heterogeneity in mortality and reproduction. Reproductive heterogeneity is introduced in three ways: parent fertility, offspring viability, and parent-offspring correlation. We find that both the low-density growth rate and the equilibrium population size increase as the magnitude of mortality heterogeneity increases or as parent-offspring phenotypic correlation increases. Population dynamics are affected by complex interactions among the different types of heterogeneity, and trade-off scenarios are examined which can sometimes reverse the effect of increased heterogeneity. We show that there are a number of different homogeneous approximations to heterogeneous models, but all fail to capture important parts of the dynamics of the full model.
引用
收藏
页码:297 / 309
页数:13
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