Scotti Alberto, Tappeiner Ulrike, Bottarin Roberta
Institute for Alpine Environment, EURAC Research, Bolzano, Italy Institute for Alpine Environment, EURAC Research Bolzano Italy.
Institute of Ecology, University of Innsbruck, Innsbruck, Austria Institute of Ecology, University of Innsbruck Innsbruck Austria.
Biodivers Data J. 2019 Mar 6;7:e33576. doi: 10.3897/BDJ.7.e33576. eCollection 2019.
Aquatic macroinvertebrates are widely used as bioindicators for water quality assessments involving different kinds of disruptive factors, such as hydrological regime variations or pollutant spills. Recently, they demonstrated to be effective in monitoring effects of climate change in alpine stream and rivers. Indeed, since the distribution of macroinvertebrates in glacier-fed streams has been succesfully investigated and described by several authors, the discrepancy in presence/absence and quantity of specific taxa from the established models may represent an early warning of the effects of climatic changes occurring in alpine riverine ecosystems.
Together with the present paper, we provide a dataset covering a period of 6 years (2010-2015) sampling of aquatic macroinvertebrates along a longitudinal transect of a glacier-fed stream located in the Italian Alps, inside the International Long Term Ecological Research (ILTER) macrosite of Matsch|Mazia (IT-25). Data were collected during the glacial melt period (April - September), with monthly resolution. Owing to the unique temporal resolution of the dataset, we aim to produce a reliable tool (i.e. reference point) for future ecological assessment on the same stream, but also to similar streams worldwide.
水生大型无脊椎动物被广泛用作水质评估的生物指标，这些评估涉及不同类型的干扰因素，如水文状况变化或污染物泄漏。最近，它们被证明在监测高山溪流和河流的气候变化影响方面是有效的。事实上，由于多位作者已成功研究并描述了大型无脊椎动物在冰川补给溪流中的分布情况，已建立模型中特定分类群在存在/不存在和数量上的差异可能预示着高山河流生态系统中正在发生的气候变化的影响。
与本文一起，我们提供了一个数据集，该数据集涵盖了6年（2010 - 2015年）期间对位于意大利阿尔卑斯山、马特施/马齐亚国际长期生态研究（ILTER）宏站点（IT - 25）内的一条冰川补给溪流的纵向断面进行的水生大型无脊椎动物采样。数据在冰川融化期（4月至9月）收集，分辨率为每月一次。由于该数据集独特的时间分辨率，我们旨在为同一溪流以及全球类似溪流的未来生态评估生成一个可靠的工具（即参考点）。
