The dynamics of a quantitative trait in an age-structured population living in a variable environment.
The dynamics of a quantitative trait in an age-structured population living in a variable environment.
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DOI：
10.1086/591693
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发表时间：
2008-11
期刊：
影响因子：
--
通讯作者：
Tuljapurkar S
中科院分区：
文献类型：
--
作者：
Coulson T;Tuljapurkar S
最近在野外生活的年龄结构种群中记录了快速表型变化的时间序列。研究人员往往有兴趣确定负责这种变化的过程。虽然有发达的人口统计学理论来解释人口规模的时间序列，但结构化群体中表型性状的平均值并不存在等效的理论。我们推导出一个方程，以准确地分解的平均值的表型性状的变化，从人口结构的波动的贡献，特定年龄的生存能力选择，生育力选择，生长和逆转和后代和亲本性状值之间的差异。我们计算这些贡献波动的平均出生体重在一个良好的特点人口的红鹿。在超过30年的研究中，平均出生体重没有显着变化。停滞的发生是因为出生体重增加的积极可行性选择被传递偏倚抵消。我们的推导表明，这只是维持表型性状平均值平衡的许多方法之一。年龄结构的价格方程，我们推导和应用有可能提供相当深入的过程中产生现在经常报告的情况下，快速表型变化。
Time series of rapid phenotypic change have recently been documented in age-structured populations living in the wild. Researchers are often interested in identifying the processes responsible for such change. Although there is well developed demographic theory to explain time series of population size, equivalent theory does not exist for the mean values of phenotypic traits in structured populations. We derive an equation to exactly decompose change in the mean value of a phenotypic trait into contributions from fluctuations in the demographic structure, and age-specific viability selection, fertility selection, growth and reversion and differences between offspring and parental trait values. We calculate these contributions to fluctuations in mean birth weight in a well characterized population of red deer. Over the > 30 years of the study mean birth weight has not significantly changed. Stasis has occurred because positive viability selection for an increase in birth weight is countered by transmission bias. Our derivation demonstrates that this is only one of many ways in which equilibria in the mean value of a phenotypic trait can be maintained. The age-structured Price equation we derive and apply has the potential to provide considerable insight into the processes generating now frequently reported cases of rapid phenotypic change.
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影响因子：
4.8
作者：
Coulson, T;Guinness, F;Clutton-Brock, T
通讯作者：
Clutton-Brock, T
影响因子：
4.8
作者：
Jones, CG;Lawton, JH;Shachak, M
通讯作者：
Shachak, M
影响因子：
64.8
作者：
Coltman, DW;O'Donoghue, P;Festa-Bianchet, M
通讯作者：
Festa-Bianchet, M
影响因子：
3.3
作者：
ARNOLD, SJ;WADE, MJ
通讯作者：
WADE, MJ
影响因子：
3.3
作者：
Ellner, SP;Hairston, NG;Babaï, D
通讯作者：
Babaï, D