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Estimating intrinsic growth rates of arthropods from partial life tables using predatory mites as examples

The intrinsic rate of natural increase of a population (r(m)) has been in focus as a key parameter in entomology and acarology. It is considered especially important in studies of predators that are potential biological control agents of fast-growing pests such as mites, whiteflies and thrips. Life-...

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Detalles Bibliográficos
Autores principales: Janssen, Arne, Fonseca, Morgana Maria, Marcossi, Italo, Kalile, Milena Oliveira, Cardoso, Andre Costa, Walerius, Adriana Helena, Hanel, Aldo, Marques, Vinicius, Ferla, Júlia Jantsch, Farias, Vanessa, Carbajal, Paola A. F., Pallini, Angelo, Nachman, Gösta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967767/
https://www.ncbi.nlm.nih.gov/pubmed/35286552
http://dx.doi.org/10.1007/s10493-022-00701-2
Descripción
Sumario:The intrinsic rate of natural increase of a population (r(m)) has been in focus as a key parameter in entomology and acarology. It is considered especially important in studies of predators that are potential biological control agents of fast-growing pests such as mites, whiteflies and thrips. Life-table experiments under controlled laboratory conditions are standard procedures to estimate r(m). However, such experiments are often time consuming and may critically depend on the precise assessment of the developmental time and the fecundity rate early in the reproductive phase. Using selected studies of predatory mites with suitable life-table data, we investigated whether and how measurements of growth rates can be simplified. We propose a new method for estimating r(m) from partial life tables, in which the researcher can choose a level of precision based on a stand-in measure of relative error. Based on this choice, the procedure helps the researcher to decide when a life-table experiment can be terminated. Depending on the chosen precision, significant amounts of experimental time can be saved without seriously compromising the reliability of the estimated growth parameter. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10493-022-00701-2.