从存在-缺席地图研究物种共发生的概率方法
Ya-Mei Chang1, Suman Rakshit2,3, Chun-Hung Huang1
1Department of Statistics, Tamkang University, New Taipei City, Taiwan.
PeerJ
|September 18, 2023
概括
这项研究引入了新的概率方法,以仅使用存在-缺席地图来检测物种共发生模式. 这些新的方法比现有的方法提供了更高的准确性来识别积极或负面的物种关联.
科学领域:
- 生态生态学 生态生态学
- 生物统计学 生物统计学
- 计算生物学 计算生物学
背景情况:
- 传统的物种共发生性研究通常依赖于来自各种调查地点的广泛发病率数据.
- 这项研究重点是分析物种相互作用,使用在特定研究情节内的存在-缺席地图.
研究的目的:
- 开发和评估用于识别双对物种共发生模式的概率方法.
- 为基二测试提供替代方法,以区分正和负的物种协会.
主要方法:
- 使用来自存在缺席地图的二乘二应急表来计算测试统计数据.
- 为协会测试提出了基于二项式或波桑分布的六种新的概率方法.
- 通过模拟研究和与现有的概率方法进行比较来评估方法性能.
主要成果:
- 提出的概率方法在I型错误率和测试功率方面表现强,特别是在极端存在率的情况下.
- 在特定数据条件下,一种新的方法优于基准方法 (Veech,2013).
- 对来自巴拿马和美国的真实树木数据的应用揭示了显著的积极和消极物种关联.
结论:
- 使用存在缺席地图的概率方法为生态关联研究提供了强大的工具.
- 开发的方法提高了检测特定类型物种相互作用的能力.
- 这些方法在分析来自不同生态系统的生物多样性数据方面具有实际应用.
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