Zooplankton abundance

浮游动物丰度
  • 文章类型: Journal Article
    2015年,每月浮游动物采样和表面温度(SST)测量,盐度,进行了溶解氧和叶绿素a。在马格达莱纳湾内湾和河口附近的四个地点的潮汐期间进行了收集,墨西哥。确定了33个分类组,最丰富的类群是co足类动物,二倍体,十足动物,鱼类浮游生物(鱼卵),和Chaetognaths。浮游动物的丰度随时间没有显着变化,但在采样站之间确实有所不同。SST和盐度与生物的空间分布显着相关。在采样站和所分析的分类组的死亡率百分比之间发现了差异(co足类动物18%;Decapods32%;Chaetognaths33%),这意味着在浮游动物的生态研究中进行死亡率测定分析的重要性。
    During 2015, monthly zooplankton sampling and measurements of surface temperature (SST), salinity, dissolved oxygen and chlorophyll a were conducted. Collections were made during neap tides at four locations between the inner and near the mouth of Magdalena Bay, Mexico. Thirty-three taxonomic groups were identified, and the most abundant taxa were copepods, diplostracans, decapods, ichthyoplankton (fish eggs), and chaetognaths. Zooplankton abundance did not vary significantly over time but did vary between sampling stations. SST and salinity were significantly correlated with the spatial distribution of organisms. Differences were found between the mortality percentages for the sampling stations and also for the taxonomic groups analyzed (Copepods 18%; Decapods 32%; Chaetognaths 33%), which implies the importance of carrying out mortality determination analyses in ecological studies of zooplankton.
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  • 文章类型: Journal Article
    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。
    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.
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  • 文章类型: Journal Article
    漂浮的塑料碎片是海洋中普遍存在的污染物,影响各种各样的动物。特别是,微塑料(尺寸<5毫米)增加了海洋物种消耗塑料并进入食物链的可能性。本研究通过计算整个地中海的塑料碎片与浮游动物的比率,调查了塑料碎片与浮游动物之间的这种潜在错误。为了这个目标,在机器学习方法中,将来自塔拉地中海探险队的原位数据与环境和拉格朗日诊断相结合,以产生塑料碎片和浮游动物丰度的空间明确图。然后,我们分析了中上层鱼类丰富地区的塑料与浮游动物的比率。中上层鱼类的两个主要热点,位于加贝湾和西里西亚盆地,与高比率值相关。最后,我们比较了Pelagos保护区的塑料与浮游动物的比值,海洋哺乳动物的重要热点,与其他地理分区,发现它们属于西地中海较大的海域。我们的结果表明,塑料污染海洋动物的潜在风险很高,并提倡采用新颖的综合建模方法,这些方法可以解释食物链内的潜在营养转移。
    Floating plastic debris is a pervasive pollutant in seas and oceans, affecting a wide range of animals. In particular, microplastics (<5 mm in size) increase the possibility that marine species consume plastic and enter the food chain. The present study investigates this potential mistake between plastic debris and zooplankton by calculating the plastic debris to zooplankton ratio over the whole Mediterranean Sea. To this aim, in situ data from the Tara Mediterranean Expedition are combined with environmental and Lagrangian diagnostics in a machine learning approach to produce spatially-explicit maps of plastic debris and zooplankton abundance. We then analyse the plastic to zooplankton ratio in regions with high abundances of pelagic fish. Two of the major hotspots of pelagic fish, located in the Gulf of Gabès and Cilician basin, were associated with high ratio values. Finally, we compare the plastic to zooplankton ratio values in the Pelagos Sanctuary, an important hotspot for marine mammals, with other Geographical Sub-Areas, and find that they were among the larger of the Western Mediterranean Sea. Our results indicate a high potential risk of contamination of marine fauna by plastic and advocate for novel integrated modelling approaches which account for potential trophic transfer within the food chain.
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