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Author (up) Miller, T.E.X.; Inouye, B.D. url  openurl
  Title Confronting two-sex demographic models with data Type Journal Article
  Year 2011 Publication Ecology Abbreviated Journal Ecology  
  Volume 92 Issue 11 Pages 2141-2151  
  Keywords Animals; Beetles/*physiology; Female; Male; *Models, Biological; Population Density; *Sex Characteristics; Time Factors  
  Abstract Most population dynamics models explicitly track the density of a single sex. When the operational sex ratio can vary, two-sex models may be needed to understand and predict population trajectories. Various functions have been proposed to describe the relative contributions of females and males to recruitment, and these functions can differ qualitatively in the patterns that they generate. Which mating function best describes the dynamics of real populations is not known, since alternative two-sex models have not been confronted with experimental data. We conducted the first such comparison, using laboratory populations of the bean beetle Callosobruchus maculatus. Manipulations of the operational sex ratio and total density provided strong support for a demographic model in which the birth rate was proportional to the harmonic mean of female and male densities, and females, males, and their offspring made unique contributions to density dependence. We offer guidelines for transferring this approach to other, less tractable systems in which possibilities for sex ratio manipulations are more limited. We show that informative experimental designs require strong perturbations of the operational sex ratio. The functional form of density dependence (saturating vs. over-compensatory) and the relative contributions of each sex to density dependence can both determine in which direction and at which population densities such perturbations would be most informative. Our experimental results and guidelines for design strategies promote synthesis of two-sex population dynamics theory with empirical data.  
  Address Department of Ecology and Evolutionary Biology, Rice University, MS-170, Houston, Texas 77005, USA. Tom.Miller@rice.edu  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0012-9658 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:22164838 Approved no  
  Call Number SFC @ beatriz.gonzalez @ Serial 100  
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