Inference on Arthropod Demographic Parameters: Computational Advances Using R | Zendy

A. de H. N. Maia | Zendy; Ricardo Antonio De Almeida Pazianotto | Zendy; A. J. B. Luiz | Zendy; Jeanne Scardini MarinhoPrado | Zendy; Ahmad Pervez | Zendy

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Inference on Arthropod Demographic Parameters: Computational Advances Using R

Author(s) -

A. de H. N. Maia,

Ricardo Antonio De Almeida Pazianotto,

A. J. B. Luiz,

Jeanne Scardini MarinhoPrado,

Ahmad Pervez

Publication year - 2014

Publication title -

journal of economic entomology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.818

H-Index - 101

eISSN - 1938-291X

pISSN - 0022-0493

DOI - 10.1603/ec13222

Subject(s) - biology , table (database) , software , statistical inference , population , statistics , inference , source code , variance (accounting) , statistical model , computer science , artificial intelligence , data mining , mathematics , demography , accounting , sociology , business , programming language , operating system

We developed a computer program for life table analysis using the open source, free software programming environment R. It is useful to quantify chronic nonlethal effects of treatments on arthropod populations by summarizing information on their survival and fertility in key population parameters referred to as fertility life table parameters. Statistical inference on fertility life table parameters is not trivial because it requires the use of computationally intensive methods for variance estimation. Our codes present some advantages with respect to a previous program developed in Statistical Analysis System. Additional multiple comparison tests were incorporated for the analysis of qualitative factors; a module for regression analysis was implemented, thus, allowing analysis of quantitative factors such as temperature or agrochemical doses; availability is granted for users, once it was developed using an open source, free software programming environment. To illustrate the descriptive and inferential analysis implemented in lifetable.R, we present and discuss two examples: 1) a study quantifying the influence of the proteinase inhibitor berenil on the eucalyptus defoliator Thyrinteina arnobia (Stoll) and 2) a study investigating the influence of temperature on demographic parameters of a predaceous ladybird, Hippodamia variegata (Goeze).

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