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Stream insect occupancy-frequency patterns and metapopulation structure

机译：溪流昆虫的占用频率模式和种群结构

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摘要

An understanding of the distribution patterns of organisms and the underlying factors is a fundamental goal of ecology. One commonly applied approach to visualize these is the analysis of occupancy-frequency patterns. We used data sets describing stream insect distributions from different regions of North America to analyze occupancy-frequency patterns and assess the effects of spatial scale, sampling intensity, and taxonomic resolution on these patterns. Distributions were dominated by satellite taxa (those occurring in <= 10% of sites), whereas the occurrence of core taxa (occurring in >= 90% of sites) determined the overall modality of occupancy-frequency patterns. The proportions of satellite taxa increased with spatial scale and showed positive relationships with sampling intensity (r(2)=0.74-0.96). Furthermore, analyses of data sets from New York (USA) showed that generic-level assessments underestimated the satellite class and occasionally shifted occupancy-frequency distributions from unimodal to bimodal. Our results indicate that, regardless of species- or generic-level taxonomy, stream insect communities are characterized by satellite species and that the proportion of satellite species increases with spatial scale and sampling intensity. Thus, niche-based models of occupancy-frequency patterns better characterize stream insect communities than metapopulation models such as the core-satellite species hypothesis.
机译：了解生物体的分布方式和潜在因素是生态学的基本目标。一种可视化这些方法的常用方法是分析占用频率模式。我们使用描述北美不同地区溪流昆虫分布的数据集来分析占用频率模式，并评估空间规模，采样强度和分类学分辨率对这些模式的影响。分布主要由卫星分类单元（发生在站点的10％内）构成，而核心分类单元（发生在站点的90％以上）则决定了占用频率模式的总体模式。卫星分类单元的比例随着空间规模的增加而增加，并与采样强度呈正相关（r（2）= 0.74-0.96）。此外，对来自纽约（美国）的数据集的分析表明，通用级别的评估低估了卫星类别，并且偶尔将占用频率分布从单峰改为双峰。我们的结果表明，无论物种或常规级别的分类学如何，流昆虫群落的特征都是卫星物种，并且卫星物种的比例随空间规模和采样强度的增加而增加。因此，基于生态位的占用频率模式模型比诸如核心卫星物种假说的后代种群模型更好地描述了溪流昆虫群落的特征。

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