• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Parasitology >Different methods, different results: temporal trends in the study of nested subset patterns in parasite communities
【24h】

Different methods, different results: temporal trends in the study of nested subset patterns in parasite communities

机译：不同的方法，结果不同：寄生虫社区中嵌套子集模式研究的时间趋势

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

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：搜索嵌套子集模式已成为理解整形寄生虫社区的进程的强大工具。在这里，我们重新审视寄生虫社区中嵌套研究结果，以评估它们对分析方法的敏感性。使用公制N和NULL模型随机测量，第一种方法可以研究嵌套模式，早期研究得出结论，鸟巢社区中嵌套不常见。相反，后来研究，使用代替度量T和嵌套温度计算器（NTC），发现嵌套子集模式在寄生虫社区中非常常见。最近，已经提出了一种新的算法，二进制矩阵嵌套温度计算器（Binmatnest），以量化嵌套。在31个蠕虫社区的鱼类主机上使用数据，我们表明，应用NTC产量始终如一的更加重要的嵌套模式，而不是在相同数据上使用n和random1。使用Binmatnest产生的结果取决于零模型的选择。为了提供基准，对每个社区也为每个社区制作了对随机组件中预期的那些与预期的那些。该测试表明，随机结构在实际上发生了所有社区，即使是其中一个嵌套分析发现有重要模式的社区。我们证明在寄生虫社区中找到嵌套模式的概率完全取决于所选择的分析的度量和空模型。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号