Literature DB >> 27420793

We Happy Few: Using Structured Population Models to Identify the Decisive Events in the Lives of Exceptional Individuals.

Robin E Snyder, Stephen P Ellner.   

Abstract

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.

Entities:  

Keywords:  Artemisia ordosica; Dacrydium elatum; growth correlation; individual stochasticity; integral projection model; reproductive skew

Mesh:

Year:  2016        PMID: 27420793     DOI: 10.1086/686996

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  3 in total

1.  Explaining long-term inter-individual growth variation in plant populations: persistence of abiotic factors matters.

Authors:  Merel Jansen; Niels P R Anten; Frans Bongers; Miguel Martínez-Ramos; Mayra E Gavito; Pieter A Zuidema
Journal:  Oecologia       Date:  2017-10-12       Impact factor: 3.225

2.  Inferring forest fate from demographic data: from vital rates to population dynamic models.

Authors:  Jessica Needham; Cory Merow; Chia-Hao Chang-Yang; Hal Caswell; Sean M McMahon
Journal:  Proc Biol Sci       Date:  2018-03-14       Impact factor: 5.349

3.  Warming and shifting phenology accelerate an invasive plant life cycle.

Authors:  Joseph A Keller; Katriona Shea
Journal:  Ecology       Date:  2020-11-20       Impact factor: 5.499

  3 in total

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