Data from: We happy few: using structured population models to identify the decisive events in the lives of exceptional individuals
收藏DataONE2016-02-19 更新2024-06-27 收录
下载链接:
https://search.dataone.org/view/null
下载链接
链接失效反馈官方服务:
资源简介:
In any population, some individuals make it big: they are among the few that produce many offspring, grow to large size, and so on. What distinguishes the lives of these happy few? We present three approaches for identifying what factors distinguish those “lucky” individuals who come to dominate reproduction in a population without fixed differences between individuals (genotype, site quality, etc.): comparing life-history trajectories for lucky and unlucky individuals and calculating the elasticity of the probability of becoming lucky to perturbations in demographic rates at a given size or a given age. As examples we consider published size-structured integral projection models for the tropical tree Dacrydium elatum and the semiarid shrub Artemisia ordosica and an age-size-structured matrix model for the tropical tree Cedrela ordosica. We find that good fortune (e.g., rapid growth) when small and young matters much more than good fortune when older and larger. Becoming lucky is primarily a matter of surviving while others die. For species with more variable growth (such as Cedrela and Ordosica), it is also a matter of growing fast. We focus on reproductive skew, but our methods are broadly applicable and can be used to investigate how individuals come to be exceptional in any aspect.
任何种群中,总有部分个体能够脱颖而出:它们属于极少数可产生大量后代、长成大型个体的类群,诸如此类。这些少数幸运个体的生命历程有何独特之处?我们提出了三种方法,用以识别在种群内个体间不存在固定差异(如基因型、生境质量等)的情况下,那些最终主导种群繁殖的“幸运”个体的区别性影响因素:对比幸运与非幸运个体的生活史轨迹,以及计算在特定体型或特定年龄下,成为幸运个体的概率对种群动态速率扰动的弹性。
作为示例,我们采用已发表的研究模型:分别为针对热带树种陆均松(*Dacrydium elatum*)与半干旱灌木鄂尔多斯蒿(*Artemisia ordosica*)的体型结构化积分投影模型(integral projection model),以及针对热带树种鄂尔多斯香椿(*Cedrela ordosica*)的年龄-体型结构化矩阵模型(matrix model)。
我们发现,个体在体型尚小、年龄尚轻时的幸运际遇(如快速生长),远较其年龄更大、体型更大时的幸运更为关键。
成为幸运个体的核心要素,是在其他个体死亡时依然存活下来。
对于生长变异程度更高的物种(如鄂尔多斯蒿与鄂尔多斯香椿),快速生长同样是关键影响因素。
本研究聚焦于繁殖偏倚(reproductive skew),但我们提出的方法具有广泛适用性,可用于探究个体在任意维度上脱颖而出的成因。
创建时间:
2016-02-19



