Abstract：
Mesoplankton is a key element of pelagic communities representing the largest biome on the planet. Many concepts in marine and freshwater biology are based on quantitative estimates of mesoplankton abundance, whereas precision of mesoplankton sampling remains underexplored and may depend on various factors. We analyzed ten contiguous daytime epipelagic samples in the Black Sea and 13 nighttime mesopelagic samples in the South Atlantic. We used a relative error as a measure of the sampling precision and ran a set of Generalized Linear Mixed Models (GLMMs) to estimate effects of six possible factors: abundance, size, diel migration, movement speed, taxonomic group, and net type. Abundance of taxa was the most powerful factor affecting sampling precision (positive effect) followed by the net type (BR provided better precision than Judey net) and taxonomic group. Conversely, size, movement speed, and diel migrations did not significantly influence sampling precision in all sample sets. We conclude that abundance and biomass of dominant species may be estimated with a satisfactory accuracy (relative error <20% of assessed values), which suggests that recent conceptions based on total mesoplankton abundance and biomass (contributed mainly by dominant taxa) are not greatly biased. Quantitative zooplankton structure and biodiversity assessed on the basis of non-transformed matrices are likely more relevant than those based on the root-transformed or presence/absence data.
摘要：
浮游生物是代表地球上最大生物群落的中上层群落的关键元素。海洋和淡水生物学中的许多概念都是基于对浮游生物丰度的定量估计，而浮游生物采样的精度仍未得到充分开发，可能取决于各种因素。我们分析了黑海中的10个连续的白天上层样品和南大西洋中的13个夜间中上层样品。我们使用相对误差作为采样精度的度量，并运行一组广义线性混合模型（GLMMs）来估计六个可能因素的影响：丰度，尺寸,diel迁移，移动速度,分类学组，网类型。类群的丰度是影响采样精度（正效应）的最强大因素，其次是网型（BR比Judey网提供更好的精度）和分类学组。相反，尺寸,移动速度,diel迁移并没有显着影响所有样本集的采样精度。我们得出的结论是，优势物种的丰度和生物量可以以令人满意的精度估计（相对误差<估计值的20％），这表明，基于浮游生物总丰度和生物量（主要由优势类群贡献）的最新概念没有很大偏差。根据非转化矩阵评估的浮游动物数量结构和生物多样性可能比根据根转化或存在/不存在数据评估的浮游动物数量结构和生物多样性更相关。
