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利用捕食螨为例估算节肢动物的内禀增长率的部分生命表。

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

机构信息

Department of Entomology, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil.

Evolutionary and Population Biology, IBED, University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, The Netherlands.

出版信息

Exp Appl Acarol. 2022 Mar;86(3):327-342. doi: 10.1007/s10493-022-00701-2. Epub 2022 Mar 14.

DOI:10.1007/s10493-022-00701-2
PMID:35286552
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8967767/
Abstract

The intrinsic rate of natural increase of a population (r) 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. 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 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.

摘要

种群的内禀自然增长率(r)一直是昆虫学和蜱螨学的一个关键参数。在研究潜在的生物防治剂，如螨虫、粉虱和蓟马等快速生长害虫的捕食性天敌时，r 被认为尤为重要。在受控实验室条件下进行生命表实验是估计 r 的标准程序。然而，这些实验通常耗时且可能严重依赖于生殖早期对发育时间和生育率的精确评估。我们使用具有适当生命表数据的捕食性螨虫的选定研究来调查是否以及如何简化生长率的测量。我们提出了一种从部分生命表中估计 r 的新方法，研究人员可以根据相对误差的替代测量值选择精度水平。基于此选择，该程序可以帮助研究人员决定何时可以终止生命表实验。根据所选的精度，可以节省大量的实验时间，而不会严重影响估计生长参数的可靠性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81b1/8967767/c3504cea6a90/10493_2022_701_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81b1/8967767/d2bb4e0043bb/10493_2022_701_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81b1/8967767/14b4909805a6/10493_2022_701_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81b1/8967767/8d2970ccbca0/10493_2022_701_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81b1/8967767/25a02238088e/10493_2022_701_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81b1/8967767/fe4b08c615b2/10493_2022_701_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81b1/8967767/c3504cea6a90/10493_2022_701_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81b1/8967767/d2bb4e0043bb/10493_2022_701_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81b1/8967767/b3ad798dc3a8/10493_2022_701_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81b1/8967767/3f57f6c8ad3e/10493_2022_701_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81b1/8967767/14b4909805a6/10493_2022_701_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81b1/8967767/8d2970ccbca0/10493_2022_701_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81b1/8967767/25a02238088e/10493_2022_701_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81b1/8967767/fe4b08c615b2/10493_2022_701_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81b1/8967767/c3504cea6a90/10493_2022_701_Fig8_HTML.jpg

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