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利用状态空间模型研究一种天蛾-长尾小蜂寄生性幼虫系统的种群动态。

Population dynamics of an Arctiid caterpillar-tachinid parasitoid system using state-space models.

机构信息

Department of Entomology, One Shields Avenue, University of California, Davis, CA 95616, USA.

出版信息

J Anim Ecol. 2010 May;79(3):650-61. doi: 10.1111/j.1365-2656.2010.01664.x. Epub 2010 Feb 10.

DOI:10.1111/j.1365-2656.2010.01664.x
PMID:20148993
Abstract
  1. Population dynamics of insect host-parasitoid systems are important in many natural and managed ecosystems and have inspired much ecological theory. However, ecologists have a limited knowledge about the relative strengths of species interactions, abiotic effects and density dependence in natural host-parasitoid dynamics. Statistical time-series analyses would be more informative by incorporating multiple factors, measurement error and noisy dynamics. 2. We use a novel maximum likelihood and model-selection analysis of a state-space model for host-parasitoid dynamics to examine 21 years of annual census data for woolly bear caterpillars (Platyprepia virginalis) and their locally host-specific tachinid parasitoids (Thelaira americana). 3. Caterpillar densities varied by three orders of magnitude and were driven by density dependence and precipitation from the previous March but not detectably by parasitoids, despite variable and sometimes high (>50%) parasitism. 4. Fly fluctuations, as estimated from per cent parasitism, were affected by density dependence and precipitation from the previous July. There was marginal evidence that host abundance drives fly fluctuations as a generic linear effect but no evidence for classical Nicholson-Bailey coupling. 5. The state-space model analysis includes new methods for likelihood calculation and allows a balanced consideration of effect magnitude and statistical significance in a nonlinear model with multiple alternative explanatory variables.
摘要
  1. 昆虫宿主-寄生系统的种群动态在许多自然和管理生态系统中都很重要,并且激发了许多生态理论。然而,生态学家对自然宿主-寄生动态中物种相互作用、非生物效应和密度依赖性的相对强度知之甚少。通过纳入多个因素、测量误差和嘈杂动态,统计时间序列分析将提供更有信息量的结果。

  2. 我们使用一种新颖的最大似然和状态空间模型选择分析方法,对 21 年的羊毛熊毛毛虫(Platyprepia virginalis)及其局部宿主特异性的蝇类寄生蜂(Thelaira americana)的年度普查数据进行了研究。

  3. 毛毛虫的密度变化幅度为三个数量级,受密度依赖性和前一个 3 月的降水驱动,但无法检测到寄生蜂的影响,尽管寄生率存在变化,有时甚至很高(>50%)。

  4. 从寄生率估计的蝇类波动受到前一个 7 月的密度依赖性和降水的影响。有边缘证据表明,宿主丰度作为一般线性效应驱动蝇类波动,但没有经典的 Nicholson-Bailey 耦合的证据。

  5. 状态空间模型分析包括新的似然计算方法,并允许在具有多个替代解释变量的非线性模型中平衡考虑效应幅度和统计显著性。

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Population dynamics of an Arctiid caterpillar-tachinid parasitoid system using state-space models.利用状态空间模型研究一种天蛾-长尾小蜂寄生性幼虫系统的种群动态。
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