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寄生虫聚集指数之间关系的图形探索。

A graphical exploration of the relationship between parasite aggregation indices.

作者信息

McVinish R, Lester R J G

机构信息

School of Mathematics and Physics, The University of Queensland, Brisbane, Australia.

School of the Environment, The University of Queensland, Brisbane, Australia.

出版信息

PLoS One. 2024 Dec 31;19(12):e0315756. doi: 10.1371/journal.pone.0315756. eCollection 2024.

DOI:10.1371/journal.pone.0315756
PMID:39739935
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11687863/
Abstract

The level of aggregation in parasite populations is frequently incorporated into ecological studies. It is measured in various ways including variance-to-mean ratio, mean crowding, the k parameter of the negative binomial distribution and indices based on the Lorenz curve such as the Gini index (Poulin's D) and the Hoover index. Assuming the frequency distributions follow a negative binomial, we use contour plots to clarify the relationships between aggregation indices, mean abundance and prevalence. The contour plots highlight the nonlinear nature of the relationships between these measures and suggest that correlations are not a suitable summary of these relationships.

摘要

寄生虫种群的聚集程度经常被纳入生态学研究中。它可以通过多种方式来衡量,包括方差均值比、平均拥挤度、负二项分布的k参数以及基于洛伦兹曲线的指数,如基尼指数(普林指数D)和胡佛指数。假设频率分布服从负二项分布,我们使用等高线图来阐明聚集指数、平均丰度和患病率之间的关系。等高线图突出了这些测量值之间关系的非线性性质,并表明相关性并不是这些关系的合适总结。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f810/11687863/51a301dc376e/pone.0315756.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f810/11687863/abb47e63ced8/pone.0315756.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f810/11687863/6175c672cb42/pone.0315756.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f810/11687863/51a301dc376e/pone.0315756.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f810/11687863/abb47e63ced8/pone.0315756.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f810/11687863/6175c672cb42/pone.0315756.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f810/11687863/51a301dc376e/pone.0315756.g003.jpg

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