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首页> 外文期刊>Ecology and Evolution >Winter is coming: Food web structure and seasonality in a subtropical freshwater coastal lake
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Winter is coming: Food web structure and seasonality in a subtropical freshwater coastal lake

机译:冬天即将到来:食品网状结构和亚热带淡水沿海湖的季节性

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Abstract Food web studies provide a useful tool to assess the organization and complexity of natural communities. Nevertheless, the seasonal dynamics of food web properties, their environmental correlates, and potential association with community diversity and stability remain poorly studied. Here, we condensed an incomplete 6-year community dataset of a subtropical coastal lake to examine how monthly variation in diversity impacts food web structure over an idealized time series for an averaged year. Phytoplankton, zooplankton, macroinvertebrates, and fish were mostly resolved to species level ( n = 120 trophospecies). Our results showed that the seasonal organization of the food web could be aggregated into two clusters of months grouped here as ?¢????summer?¢???? and ?¢????winter?¢????. During ?¢????winter?¢????, the food web decreases in size and complexity, with the number of trophospecies dropping from 106 to 82 (a 22.6% decrease in the number of nodes) and the trophic interactions from 1,049 to 637 between month extremes (a 39.3% drop in the number of links). The observed simplification in food web structure during ?¢????winter?¢???? suggests that community stability is more vulnerable to the impact of any change during this period.
机译:摘要食品网络研究提供了一种评估自然社区的组织和复杂性的有用工具。然而,食物网络属性的季节性动态,环境相关性和与社区多样性和稳定性的潜在联系仍然很差。在这里,我们缩小了一个亚热带沿海湖的一个不完整的6年社区数据集,以检查多样性的月度变化如何影响食物网结构,以实现平均年度的理想时间序列。 Phytoplankton,Zooplankton,Macroinvertebrate和鱼类大多数决定为物种水平(n = 120个滋练卓)。我们的研究结果表明,食品网的季节性组织可以汇总成两种月份分组,夏天?¢????冬天???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????期间?¢????冬天?¢????,食物网的规模和复杂而减小,随trophospecies(在节点的数目的22.6%减少)滴从106到82和营养相互作用的来自数月极端之间的1,049至637(链接数量为39.3%)。观察到在食物网结构中的简化?冬天?????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????表明社区稳定性更容易受到这种时期任何变化的影响。

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