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  • Animal populations  (1)
  • Asexual reproduction  (1)
  • Springer  (2)
  • American Institute of Physics
  • Annual Reviews
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  • Springer  (2)
  • American Institute of Physics
  • Annual Reviews
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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Oecologia 76 (1988), S. 330-335 
    ISSN: 1432-1939
    Keywords: Asexual reproduction ; Mimulus ; Resource allocation ; Sexual reproduction ; Trade-offs
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary Six estimates of resource allocation to sexual reproduction (nectar concentration, nectar volume, sugar production, pollinator visitation rates, fruit-set, and seed production) and a single estimate of resource allocation to asexual reproduction (the rate of rooted-branch production) were examined for five species of Mimulus. There were significant interspecific differences for all paramaters. With the exception of nectar concentration, there was 1) a consistent positive correlation among the parameters measuring allocation to sexual reproduction, and 2) a significant negative correlation between parameters measuring allocation to sexual reproduction and the rate of rooted-branch production (asexual reproduction). The results indicate that Mimulus species which produce the highest volumes of nectar 1) receive the most pollinator visits, 2) have the highest fruit-set, 3) produce the most seeds, and 4) produce the fewest rooted branches.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Oecologia 85 (1991), S. 413-418 
    ISSN: 1432-1939
    Keywords: Density dependence ; k-factor analysis ; Bias ; Animal populations
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary Randomization and simulation are used to detect bias in k-factor analysis. In nine previously published data sets there is strong evidence of bias. This may result from either non-independence of observations or the arithmetic relationship used to estimate k-factors, which can generate “spurious correlations”. Randomization can be used to test for density dependence without bias. This procedure confirms the existence of densitydependent effects in 8 of the 9 populations and 11 of the 16 k-factors previously thought to have density-dependent effects.
    Type of Medium: Electronic Resource
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