首页> 外文OA文献 >Behavioral trajectories as predictors in event history analysis: Male calling behavior forecasts medfly longevity
【2h】

Behavioral trajectories as predictors in event history analysis: Male calling behavior forecasts medfly longevity

机译:行为轨迹作为事件历史分析中的预测因子:男性呼叫行为预测medfly寿命

摘要

A recent study on wild male Mediterranean fruit flies [Papadopoulos, N.T., Katsoyannos, B.I., Kouloussis, N.A., Carey, J.R., Miiller, H.-G., Zhang, Y., 2004. High sexual signalling rates of young individuals predict extended life span in male Mediterranean fruit flies. Oecologia 138, 127134] provided evidence that intense sexual signalling (calling behavior) is associated with longer life span. We demonstrate here an approach based on functional data analysis methodology for predicting individual remaining longevity and the distribution of remaining lifetime from individual behavioral trajectories. A key methodological concept is the time evolution of mean functions and eigenfunctions. This methodology is applied to the event history of calling behavior of male medflies. The results demonstrate complex relationships between male calling behavior and subsequent longevity that complement previous biodemographic analyses of these data. A high level of recent calling activity is found to be associated with increased remaining lifetime for an individual male fly, while calling activity at early ages plays no role for remaining longevity. (c) 2006 Elsevier Ireland Ltd. All rights reserved.
机译:对地中海野生雄性果蝇的最新研究[Papadopoulos,NT,Katsoyannos,BI,Kouloussis,NA,Carey,JR,Miiller,H.-G.,Zhang,Y.,2004年。年轻人的高性信号传导率预示着将延长寿命在雄性地中海果蝇中。 [Oecologia 138,127134]提供了证据,表明强烈的性信号(呼叫行为)与更长的寿命有关。我们在这里展示了一种基于功能数据分析方法的方法,该方法可用于预测个体的剩余寿命和个体行为轨迹的剩余寿命分布。方法学的一个关键概念是均值函数和本征函数的时间演化。此方法适用于男性介体的呼唤行为的事件历史。结果表明,男性呼叫行为与随后的寿命之间的复杂关系补充了这些数据的先前生物人口学分析。发现高水平的最近通话活动与单个雄蝇的剩余寿命增加有关,而早年的通话活动对保持长寿没有任何作用。 (c)2006 Elsevier Ireland Ltd.保留所有权利。

著录项

  • 作者

    张颖;

  • 作者单位
  • 年度 2006
  • 总页数
  • 原文格式 PDF
  • 正文语种 en_US
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利

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