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A niche-based modeling approach to phytoplankton community assembly rules

机译:基于生态位的浮游植物群落组装规则建模方法

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摘要

Six niche-based models proposed by Tokeshi, based on different assumptions of resource allocation by species, were fitted on phytoplankton relative abundance distributions, and potential environmental and biotic factors supporting the applicabilityof the fitted models were discussed. Overall 16 assemblages corresponding to different sampling times, various environmental conditions, and resource regimes within a year were fitted to the models. Phytoplankton biovolume was used as a measure of abundance, and a randomization test was applied to compare the model fit to the field data. The majority of the phytoplankton assemblages (11 of 16) were successfully described by the Random Fraction model, which is based on the theoretical assumption that resource is apportioned by the species in a random way. Only a few assemblages (three of 16), characterized by extremes in resource availability or disturbance, were not fitted by any of the models. The Random Fraction model in particular was rejected due to a steep slope during the first ranks, while the rest of the distribution remained relatively even, providing further evidence of resilience in phytoplankton communities. Although larger cells seem to have the potential to develop higher biomass, it seems that other factors, including the surface-to-volume ratio, counterbalance this advantage, resulting in a random-like behaviour in resource acquisition by phytoplankton, irrespective of cell size or species identity.
机译:根据浮游植物相对丰度分布,对Tokeshi提出的六个基于生态位的模型进行了拟合,基于物种资源分配的不同假设,并讨论了支持该拟合模型适用性的潜在环境和生物因素。该模型拟合了一年内对应于不同采样时间,各种环境条件和资源状况的总共16个组合。浮游植物的生物量被用作丰度的量度,并且进行了随机测试以比较模型与现场数据的拟合度。随机分数模型成功地描述了大多数浮游植物组合(16个中的11个),该模型基于以下理论假设:资源是由物种以随机方式分配的。只有少数几个模型(以16个中的三个)为特征,这些模型的特征在于资源可用性或干扰程度极高,而任何模型都没有拟合。特别是随机分数模型由于在第一个等级期间的陡峭坡度而被拒绝,而其余分布仍保持相对均匀,这为浮游植物群落的复原力提供了进一步的证据。尽管较大的细胞似乎具有发展更高生物量的潜力,但似乎其他因素(包括表面积与体积之比)抵消了这一优势,无论浮游植物的大小或大小如何,都会导致浮游植物获得随机样的行为。物种身份。

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