环境对溪流中毛翅目群落分布和组成的影响

M. Feio, R. Vieira-Lanero, Verónica Ferreira, M. Graça
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引用次数: 16

摘要

本文研究了葡萄牙中部河流中11000多只Trichop- tera幼虫的多样性和分布与化学和物理环境变量的关系。2001年,kicknet在Mondego河流域的55条溪流中对66个地点进行了采样,Mondego河是葡萄牙最大的河流。同时对每个地点的43个环境变量进行了评估。我们鉴定出了18科70种和属,占伊比利亚半岛记录的所有毛翅目分类群的约20%。蒙台哥河流域最重要的分类群为有袋菖蒲、细鳞菖蒲、黄菖蒲、灰菖蒲、灰菖蒲、金菖蒲、黄多心菖蒲、黄多心菖蒲、细纹菖蒲和绢纹菖蒲。溪流顺序、基质质量、海拔高度、流速和碱度解释了41%的分类群分布,这表明在更大(流域)尺度上,物理和水文参数比化学参数对毛翅目组合的分布更重要。在流域中发现了6个具有相似毛翅目群落的显著不同类群,它们与海拔、水文和底物梯度有关。我们的发现使我们能够基于一些环境特征来预测Mondego流域溪流中的毛翅目昆虫组合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The role of the environment in the distribution and composition of Trichoptera assemblages in streams
We investigated how diversity and distribution of more than 11000 Trichop- tera larvae in streams of central Portugal were related to chemical and physical envi- ronmental variables. Sixty-six sites were sampled in 2001, by kicknet, in 55 streams of the Mondego River basin, the largest entirely Portuguese river. Simultaneously 43 environmental variables were evaluated for each site. We identified 18 families and 70 species and genera of caddisflies, representing ≈ 20 % of all trichopteran taxa recorded for the Iberian Peninsula. The species Calamoceras marsupus, Cheumatopsyche lepida, Hydropsyche bulbifera, Hydropsyche siltalai, Hydroptila sp., Lepidostoma hir- tum, Mystacides azurea, Chimarra marginata, Polycentropus flavomaculatus, Tinodes waeneri, Rhyacophila adjuncta and Sericostoma sp. were found to be the most impor- tant taxa in the Mondego River basin. Stream order, substrate quality, altitude, current velocity and alkalinity explained 41 % of the taxa distribution suggesting that at a wi- der (catchment) scale physical and hydrological parameters are more important for the distribution of Trichoptera assemblages than chemical parameters. Six significantly different groups of sites with similar Trichoptera assemblages were identified in the catchment and related to altitudinal, hydrological and substrate gradients. Our findings allow us to predict Trichoptera assemblages in streams of the Mondego catchment based on few environmental characteristics.
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