Articles
AN EASY AND CONVENIENT WAY TO ANALYZE PHYLLOXERA POPULATION GROWTH DATA
Article number
904_1
Pages
11 – 16
Language
English
Abstract
The intrinsic rate of natural increase (rm) is a common measurement in entomology to describe and evaluate the growth and adaptation of an arthropod population to certain environmental conditions.
A simple and convenient way of calculating the rm was provided by Wyatt and White in 1977, which became quite popular among entomologists, especially when assessing life-table parameters for insects with a long life cycle, such as the grape phylloxera, Daktulosphaira vitifoliae Fitch.
As a population parameter, rm lacks any variance.
Because of this, a valid statistical comparison of rms for different populations is not straightforward and thus calculations, when performed, often result in statistical misconceptions.
In the present paper, we briefly discuss the drawbacks of the two most used calculations, and present an easy way to implement a consistent method for the comparison of rms.
The approach is demonstrated and discussed using a phylloxera data set.
A simple and convenient way of calculating the rm was provided by Wyatt and White in 1977, which became quite popular among entomologists, especially when assessing life-table parameters for insects with a long life cycle, such as the grape phylloxera, Daktulosphaira vitifoliae Fitch.
As a population parameter, rm lacks any variance.
Because of this, a valid statistical comparison of rms for different populations is not straightforward and thus calculations, when performed, often result in statistical misconceptions.
In the present paper, we briefly discuss the drawbacks of the two most used calculations, and present an easy way to implement a consistent method for the comparison of rms.
The approach is demonstrated and discussed using a phylloxera data set.
Publication
Authors
J.-P. Lawo, R. Kolberg, A. Forneck, N.C. Lawo
Keywords
intrinsic rate of natural increase, statistics, bootstrap, BCa, jackknife, Daktulosphaira vitifoliae
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