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首页> 外文期刊>Hydrobiologia >A trait-based approach to assess the vulnerability of European aquatic insects to climate change.
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A trait-based approach to assess the vulnerability of European aquatic insects to climate change.

机译:一种基于特征的方法来评估欧洲水生昆虫对气候变化的脆弱性。

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摘要

Aquatic insects are the dominant taxon group in most freshwater ecosystems. As temperature is the main driver of their life cycle development, metabolic activity, and geographic distribution, these macroinvertebrates are particularly suitable for large scale and comparative studies of freshwater community responses to climate change. A dataset of bio-ecological traits of 1,942 Ephemeroptera, Plecoptera, and Trichoptera (EPT) taxa was used to analyze (1) the relationships among traits, (2) the potential vulnerability of EPT species to climate change, and (3) the geographical occurrence patterns of these potentially endangered species at the scale of European ecoregions. By means of a fuzzy correspondence analysis (FCA), two gradients emerged: (1) a longitudinal gradient, describing successive upstream-downstream features, and (2) a biogeographical gradient, separating endemic and micro-endemic species from widely distributed taxa. Moreover, aquatic insects of southern European ecoregions emerged as those most endangered in terms of potential vulnerability to climate change. Comparative multi-taxon studies provide important new insights into freshwater ecosystem functioning and responses to climate change, and could be the first step toward developing integrative monitoring or assessment tools (e.g., trait-based indicators at the species level) by means of non-arbitrary statistical methods.
机译:在大多数淡水生态系统中,水生昆虫是主要的分类单元。由于温度是其生命周期发展,代谢活动和地理分布的主要驱动力,因此这些大型无脊椎动物特别适合于淡水群落对气候变化响应的大规模和比较研究。使用1942个E翅目,鞘翅目和毛鳞翅目(EPT)的生物生态特征数据集来分析(1)特征之间的关系,(2)EPT物种对气候变化的潜在脆弱性,和(3)地理在欧洲生态区范围内,这些潜在濒危物种的发生方式。通过模糊对应分析(FCA),出现了两个梯度:(1)纵向梯度,描述了连续的上游-下游特征;(2)生物地理梯度,从广泛分布的分类单元中分离了特有种和微特有种。此外,就对气候变化的潜在脆弱性而言,欧洲南部生态区的水生昆虫是最濒危的。比较性多类分类研究为淡水生态系统的功能和对气候变化的响应提供了重要的新见解,并且可能是通过非任意手段开发综合监测或评估工具(例如物种一级基于特征的指标)的第一步。统计方法。

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