2014
DOI: 10.1603/ec13222
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Inference on Arthropod Demographic Parameters: Computational Advances Using R

Abstract: 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 cod… Show more

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Cited by 29 publications
(22 citation statements)
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“…Th e following data were used to construct age specifi c survival and fecundity, and to calculate fertility life table (FLT) parameters: the pivotal age for the female age class in units of time (x), the number of individuals dying during the age interval x (d x ), the total number of female eggs laid in age class x (l x m x ), the proportion of population surviving to age x (l x ), the number of female off spring per female aged x per day (m x ), the net reproductive or replacement rate (R 0 ), the intrinsic rate of increase (r m ), the fi nite rate of increase (λ), the mean generation time (TG), and the doubling time (DT) of the population (Southwood 1978) for each cultivar, the period of development and survival of immature stages, longevity, and daily fecundity. A computer program with the code sheet of lifetable.r in the open source, a free soft ware programming environment R version 3.0.3 (R Development Core Team 2014), developed by Maia et al (2000Maia et al ( , 2014, was used to calculate and compare between FLT parameters of thrips population on cultivars.…”
Section: Discussionmentioning
confidence: 99%
“…Th e following data were used to construct age specifi c survival and fecundity, and to calculate fertility life table (FLT) parameters: the pivotal age for the female age class in units of time (x), the number of individuals dying during the age interval x (d x ), the total number of female eggs laid in age class x (l x m x ), the proportion of population surviving to age x (l x ), the number of female off spring per female aged x per day (m x ), the net reproductive or replacement rate (R 0 ), the intrinsic rate of increase (r m ), the fi nite rate of increase (λ), the mean generation time (TG), and the doubling time (DT) of the population (Southwood 1978) for each cultivar, the period of development and survival of immature stages, longevity, and daily fecundity. A computer program with the code sheet of lifetable.r in the open source, a free soft ware programming environment R version 3.0.3 (R Development Core Team 2014), developed by Maia et al (2000Maia et al ( , 2014, was used to calculate and compare between FLT parameters of thrips population on cultivars.…”
Section: Discussionmentioning
confidence: 99%
“…Differences between the introgressed lines were determined using Tukey's HSD test at a 95% confidence level. Life table analysis was performed based on the lifetable R script . The intrinsic rate of increase (rm) was calculated with the equation x=x0Ωgermlxmx=1 where lx is the proportion of females surviving to age x and mx is the mean number of female progeny per adult female at age x.…”
Section: Methodsmentioning
confidence: 99%
“…Life table analysis was performed based on the lifetable R script. 44 The intrinsic rate of increase (rm) was calculated with the equation The finite rate of increase and doubling time were inferred from the equations: LM = erm and DT = ln 2 rm . Variance for the life table parameters was estimated using the jackknife resampling method.…”
Section: Oviposition and Adult Longevitymentioning
confidence: 99%
“…The analysis of life‐history raw data of the different lines was based on the lifetable R script (Maia, Pazianotto, Luiz, Marinho‐Prado, & Pervez, 2014). Specifically, line name, female ID, age, and number of eggs laid per female at each oviposition date, proportion of female offspring and ISS were used as input.…”
Section: Methodsmentioning
confidence: 99%