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  • Mating systems  (1)
  • Species abundance  (1)
  • University of Chicago Press  (2)
  • 2010-2014  (2)
  • 1985-1989
  • 1940-1944
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  • University of Chicago Press  (2)
  • Springer  (7)
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  • 2010-2014  (2)
  • 1985-1989
  • 1940-1944
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  • 1
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    University of Chicago Press
    Publication Date: 2022-05-25
    Description: Author Posting. © University of Chicago, 2010. This article is posted here by permission of University of Chicago for personal use, not for redistribution. The definitive version was published in American Naturalist 176 (2010): 96-98, doi:10.1086/653077.
    Description: There is growing interest in predicting the abundance of a species in a region from the occupancy of cells in a uniform grid overlaid on the region. When the number of individuals in each cell follows a negative binomial distribution, prediction is in general not possible from the number of unoccupied cells alone. A prediction method based on the number of unoccupied cells and the number containing a single individual is described and shown to work well on simulated and real data.
    Keywords: Negative binomial distribution ; Optimal prediction ; Species abundance ; Species occupancy
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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  • 2
    Publication Date: 2022-05-25
    Description: Author Posting. © University of Chicago, 2010. This article is posted here by permission of University of Chicago for personal use, not for redistribution. The definitive version was published in American Naturalist 175 (2010): 739-752, doi:10.1086/652436.
    Description: We present a new approach to modeling two‐sex populations, using periodic, nonlinear two‐sex matrix models. The models project the population growth rate, the population structure, and any ratio of interest (e.g., operational sex ratio). The periodic formulation permits inclusion of highly seasonal behavioral events. A periodic product of the seasonal matrices describes annual population dynamics. The model is nonlinear because mating probability depends on the structure of the population. To study how the vital rates influence population growth rate, population structure, and operational sex ratio, we used sensitivity analysis of frequency‐dependent nonlinear models. In nonlinear two‐sex models the vital rates affect growth rate directly and also indirectly through effects on the population structure. The indirect effects can sometimes overwhelm the direct effects and are revealed only by nonlinear analysis. We find that the sensitivity of the population growth rate to female survival is negative for the emperor penguin, a species with highly seasonal breeding behavior. This result could not occur in linear models because changes in population structure have no effect on per capita reproduction. Our approach is applicable to ecological and evolutionary studies of any species in which males and females interact in a seasonal environment.
    Description: H.C. acknowledges support from the National Science Foundation (DEB-0343820 and DEB-0816514) and the Ocean Life Institute and the hospitality of the Max Planck Institute for Demographic Research.
    Keywords: Two‐sex periodic matrix model ; Population structure ; Population growth rate ; Mating systems ; Sex ratio ; Emperor penguin
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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