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首页> 外文期刊>Parasitology >Different methods, different results: temporal trends in the study of nested subset patterns in parasite communities.
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Different methods, different results: temporal trends in the study of nested subset patterns in parasite communities.

机译：不同的方法，不同的结果：寄生虫群落中嵌套亚组模式研究的时间趋势。

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摘要

The search for nested subset patterns has become a powerful tool for understanding the processes shaping parasite communities. Here, we re-examine the results of past studies on nestedness in parasite communities, to assess how sensitive they are to the analytical method used. Using the metric N and the null model RANDOM1, the first method available to study nested patterns, early studies concluded that nestedness was infrequent in parasite communities. In contrast later studies, using instead the metric T and the nestedness temperature calculator (NTC), found that nested subset patterns were very common in parasite communities. Recently, a new algorithm, the binary matrix nestedness temperature calculator (BINMATNEST), has been proposed to quantify nestedness. Using data on 31 helminth communities of fish hosts, we show that applying the NTC yields consistently more significant nested patterns than when N and RANDOM1 are used on the same data. The use of BINMATNEST produced results that depend on the choice of the null model. To provide a benchmark, a straightforward comparison between the observed frequencies of co-occurrences of species with those expected from their prevalence under random assembly was also made for each community. This test indicates that random structure occurs in practically all communities, even those where one of the nestedness analyses found a significant pattern. We demonstrate that the probability of finding a nested pattern in a parasite community depends entirely on the metric and null model chosen for analysis.
机译：嵌套子集模式的搜索已成为了解影响寄生虫群落的过程的强大工具。在这里，我们重新检查过去关于寄生虫群落中巢度的研究结果，以评估它们对所用分析方法的敏感性。早期的研究使用度量N和零模型RANDOM1（第一种可用于研究嵌套模式的方法）得出的结论是，在寄生虫群落中很少发生嵌套。相反，后来的研究代替使用度量标准T和嵌套温度计算器（NTC），发现在寄生虫群落中嵌套子集模式非常普遍。最近，已经提出了一种新的算法，即二进制矩阵嵌套温度计算器（BINMATNEST）来量化嵌套。使用有关31个鱼类寄主蠕虫群落的数据，我们表明，与在相同数据上使用N和RANDOM1时相比，应用NTC产生的嵌套模式始终更显着。 BINMATNEST的使用产生的结果取决于是否选择空模型。为了提供一个基准，还对每个社区在观察到的物种共现频率与随机组装条件下的普遍存在频率之间进行了直接比较。该测试表明，几乎所有社区都存在随机结构，即使其中一项嵌套性分析发现存在显着模式的社区也是如此。我们证明在寄生虫群落中发现嵌套模式的可能性完全取决于选择用于分析的度量和无效模型。

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