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Local disturbance history and habitat parameters influence themicrodistribution of stream invertebrates

机译:局部扰动历史和栖息地参数影响河流无脊椎动物的微分布

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摘要

The authors investigated the effects of local disturbance history and habitat parameters (abiotic and biotic) on the microdistribution of benthic invertebrates during several floods in two streams, the Schmiedlaine in Germany (four events) and the Kye Burn in New Zealand (two events). Bed movement patterns were quantified using metal-link scour chains. Before and after each flood, quantitative invertebrate samples were taken from replicate bed patches that had experienced sediment scour, fill or remained stable. Patterns of invertebrate density in the different bed stability types (i.e. scour, fill, stable) varied between floods, sampling dates and streams, but invertebrate density was highest in stable patches in >50% of all the patch type effects detected and lowest in fill patches in 75% of all detected effects. Stable bed patches acted as a refugium for Liponeura spp. and Leuctra spp. in the Schmiedlaine and for Hydracarina and Deleatidium spp. in the Kye Burn. Averaged across both streams, only near-bed current velocity was correlated with invertebrate distribution on the streambed more often than disturbance history. In the Kye Burn, disturbance history and water depth were the most influential habitat parameters. These results suggest that a thorough understanding of the microdistribution of benthic invertebrates requires knowledge of disturbance history, as well as more readily measured habitat parameters such as current velocity or water depth
机译:这组作者调查了在两次洪水(德国的施米德莱因(四个事件)和新西兰的凯伊烧伤(两个事件))的两次洪水期间,当地扰动历史和栖息地参数(非生物和生物特征)对底栖无脊椎动物微分布的影响。床的移动方式使用金属链冲刷链进行定量。每次洪水前后,均从重复的河床斑块中采集无脊椎动物样本,这些河床经历了泥沙冲刷,充满或保持稳定。在洪水,采样日期和水流之间,不同床稳定类型(即冲刷,填充,稳定)的无脊椎动物密度模式有所不同,但在> 50%的所有斑块类型效应中,稳定斑块的无脊椎动物密度最高,而填充的最低修补了所有检测到的效果的75%。稳定的床斑可作为立氏蛙属的避难所。和Leuctra spp。在Schmiedlaine和Hydracarina和Deleatidium spp中。在Kye Burn中。在两个流中取平均值,仅近床层流速与河床中无脊椎动物分布的相关性比干扰历史更频繁。在Kye Burn,扰动历史和水深是影响最大的栖息地参数。这些结果表明,要彻底了解底栖无脊椎动物的微观分布,就需要了解干扰历史,以及更容易测量的栖息地参数,例如当前流速或水深

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