首页> 美国卫生研究院文献>Philosophical Transactions of the Royal Society B: Biological Sciences >Estimating density dependence in time-series of age-structured populations.
【2h】

Estimating density dependence in time-series of age-structured populations.

机译:在年龄结构人口的时间序列中估计密度依赖性。

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

For a life history with age at maturity alpha, and stochasticity and density dependence in adult recruitment and mortality, we derive a linearized autoregressive equation with time-lags of from 1 to alpha years. Contrary to current interpretations, the coefficients for different time-lags in the autoregressive dynamics do not simply measure delayed density dependence, but also depend on life-history parameters. We define a new measure of total density dependence in a life history, D, as the negative elasticity of population growth rate per generation with respect to change in population size, D = - partial differential lnlambda(T)/partial differential lnN, where lambda is the asymptotic multiplicative growth rate per year, T is the generation time and N is adult population size. We show that D can be estimated from the sum of the autoregression coefficients. We estimated D in populations of six avian species for which life-history data and unusually long time-series of complete population censuses were available. Estimates of D were in the order of 1 or higher, indicating strong, statistically significant density dependence in four of the six species.
机译:对于具有阿尔法成熟年龄的生活史,以及成年人招募和死亡率中的随机性和密度依赖性,我们推导了线性自回归方程,其时滞为1至α年。与当前的解释相反,自回归动力学中不同时滞的系数不仅测量延迟密度依赖性,而且还取决于寿命历史参数。我们定义了生活史中总密度依赖性的新度量D,即每代人口增长率相对于种群大小变化的负弹性D =-偏微分lnlambda(T)/偏微分lnN,其中lambda是每年的渐近乘法增长率,T是世代时间,N是成年人口规模。我们表明D可以从自回归系数的总和中估计出来。我们估计了六个鸟类的种群中的D,这些种群具有生活史数据和非常长的时间序列的完整人口普查。 D的估计值在1或更高的数量级,表明在六个物种中的四个物种中具有很强的统计学上显着的密度依赖性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号