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A modification of the leaf-nets method for sampling benthic invertebrates in spring habitats

机译:春季栖息地对底栖无脊椎动物采样的叶网方法的修改

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The full ecological potential of spring habitats remains relatively unexplored mostly because of the lack of standardized sampling procedures and difficulties to collect representative biological samples, especially in small-sized springs. Recent studies on sampling methodologies in spring habitats indicated that a modified Surber net with a reduced frame area, reliably describes the structure and composition of spring communities. This method, however, is very invasive and may severely impact the spring, especially when a large number of samples is required. The paper presents a new quantitative method (leaf-nets) for sampling crenic invertebrates which combines a rather high efficiency with negligible impacts on spring habitat structure and biota. The effectiveness of the new methodology was tested in a medium-size rheocrene spring in Central Apennine, where spring assemblages were sampled in parallel with a modified Surber net and with the new method. Taxa richness and density were higher in the Surber net, while no between-method differences were recorded for the number of insect taxa and Simpson diversity. Furthermore, the overall functional organization of Surber net and leaf-nets assemblages was very similar. The new method sampled only 25% of the individuals cumulatively collected, but 75% of the total richness, with a good representation of the structure and the functional organization of spring assemblages. In comparison with the Surber net, the negligible loss of information of the new method is highly compensated by its minor invasivity, lower impacts on spring microhabitats and invertebrate populations and by its higher versatility. Leaf-nets could also be used to assess leaf-detritus breakdown in springs, thus allowing a better ecological characterization of these ecosystems.
机译:春季栖息地的全部生态潜力主要是由于缺乏标准化的抽样程序和收集代表性生物样本的困难,特别是在小型泉水中。最近关于春季栖息地的抽样方法的研究表明,具有减少框架区域的改进的Syber网,可靠地描述了春季社区的结构和组成。然而,这种方法非常侵入性,并且可能严重影响弹簧,尤其是当需要大量样品时。本文提出了一种新的定量方法(叶网),用于采样危险的无脊椎动物,其结合了相当高的效率,对弹簧栖息地结构和生物群的影响忽略不计。新方法的有效性在中央亚平宁中的中等rheocrene弹簧中进行了测试,其中弹簧组合与改进的垃圾网并联并用新方法进行采样。 Surber网的富有素富裕和密度较高,而昆虫分类群和辛普森多样性的数量没有记录方法之间的差异。此外,Surber网和叶网组合的整体功能组织非常相似。新方法仅取决于累计收集的25%,但占富裕总量的75%,具有良好的结构和春季组装的功能组织。与Syber网相比,通过其微小的侵入性,春季微藻和无脊椎动物群体的影响降低以及较高的多功能性,忽略了新方法的信息损失高度补偿。叶网也可用于评估泉水中的叶片碎屑分解,从而允许这些生态系统的更好的生态表征。

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