Department of Evolutionary Biology, Ecology & Environmental Sciences-Institute of Research in Biodiversity (IRBio-UB), University of Barcelona, 08028 Barcelona, Spain; Center for Research on Biodiversity and Sustainable Environments (CIBAS), Universidad Católica de la Santísima Concepción, Concepción, Chile.
Biodiversité marine et ses usages (UMR 9190 MARBEC), CNRS, Université de Montpellier, Place Eugène Bataillon, CP 34095, Montpellier Cedex 5, France.
Sci Total Environ. 2018 Jun 1;625:861-871. doi: 10.1016/j.scitotenv.2017.12.316. Epub 2018 Jan 4.
Trait-based ecology has been developed for decades to infer ecosystem responses to stressors based on the functional structure of communities, yet its value in species-poor systems is largely unknown. Here, we used an extensive dataset in a Spanish region highly prone to non-native fish invasions (15 catchments, N=389 sites) to assess for the first time how species-poor communities respond to large-scale environmental gradients using a taxonomic and functional trait-based approach in riverine fish. We examined total species richness and three functional trait-based indices available when many sites have ≤3 species (specialization, FSpe; originality, FOri and entropy, FEnt). We assessed the responses of these taxonomic and functional indices along gradients of altitude, water pollution, physical habitat degradation and non-native fish biomass. Whilst species richness was relatively sensitive to spatial effects, functional diversity indices were responsive across natural and anthropogenic gradients. All four diversity measures declined with altitude but this decline was modulated by physical habitat degradation (richness, FSpe and FEnt) and the non-native:total fish biomass ratio (FSpe and FOri) in ways that varied between indices. Furthermore, FSpe and FOri were significantly correlated with Total Nitrogen. Non-native fish were a major component of the taxonomic and functional structure of fish communities, raising concerns about potential misdiagnosis between invaded and environmentally-degraded river reaches. Such misdiagnosis was evident in a regional fish index widely used in official monitoring programs. We recommend the application of FSpe and FOri to extensive datasets from monitoring programs in order to generate valuable cross-system information about the impacts of non-native species and habitat degradation, even in species-poor systems. Scoring non-native species apart from habitat degradation in the indices used to determine ecosystem health is essential to develop better management strategies.
基于特征的生态学已经发展了几十年,旨在根据群落的功能结构推断生态系统对胁迫的响应,但在物种贫乏的系统中,其价值在很大程度上尚不清楚。在这里,我们使用了西班牙一个高度容易受到非本地鱼类入侵的地区的广泛数据集(15 个流域,N=389 个地点),首次评估了基于分类学和功能特征的方法在河流鱼类中,物种贫乏的群落如何对大规模环境梯度做出响应。我们检查了总物种丰富度和三个功能特征指数,当许多地点的物种数≤3 时,这些指数可用(专业化,FSpe;新颖性,FOri 和熵,FEnt)。我们评估了这些分类和功能指数在海拔、水污染、物理生境退化和非本地鱼类生物量梯度上的响应。虽然物种丰富度对空间效应相对敏感,但功能多样性指数在自然和人为梯度上都有响应。所有四个多样性度量都随海拔的升高而降低,但这种下降受到物理生境退化(丰富度、FSpe 和 FEnt)和非本地:总鱼类生物量比(FSpe 和 FOri)的调节,这些调节方式在不同指数之间有所不同。此外,FSpe 和 FOri 与总氮显著相关。非本地鱼类是鱼类群落分类和功能结构的主要组成部分,这引起了对入侵和环境退化河流段之间可能误诊的担忧。这种误诊在广泛用于官方监测计划的区域鱼类指数中显而易见。我们建议在监测计划的广泛数据集上应用 FSpe 和 FOri,以生成有关非本地物种和生境退化对系统影响的有价值的跨系统信息,即使在物种贫乏的系统中也是如此。在用于确定生态系统健康的指数中,将非本地物种与生境退化分开评分对于制定更好的管理策略至关重要。