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Anomalous droughts, not invasion, decrease persistence of native fishes in a desert river

机译:干旱干旱而不是入侵,减少了沙漠河流中本地鱼类的持久性

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Changing climate extremes and invasion by non-native species are two of the most prominent threats to native faunas. Predicting the relationships between global change and native faunas requires a quantitative toolkit that effectively links the timing and magnitude of extreme events to variation in species abundances. Here, we examine how discharge anomalies - unexpected floods and droughts - determine covariation in abundance of native and non-native fish species in a highly variable desert river in Arizona. We quantified stochastic variation in discharge using Fourier analyses on >15000 daily observations. We subsequently coupled maximum annual spectral anomalies with a 15-year time series of fish abundances (1994-2008), using Multivariate Autoregressive State-Space (MARSS) models. Abiotic drivers (discharge anomalies) were paramount in determining long-term fish abundances, whereas biotic drivers (species interactions) played only a secondary role. As predicted, anomalous droughts reduced the abundances of native species, while floods increased them. However, in contrast to previous studies, we observed that the non-native assemblage was surprisingly unresponsive to extreme events. Biological trait analyses showed that functional uniqueness was higher in native than in non-native fishes. We also found that discharge anomalies influenced diversity patterns at the meta-community level, with nestedness increasing after anomalous droughts due to the differential impairment of native species. Overall, our results advance the notion that discharge variation is key in determining community trajectories in the long term, predicting the persistence of native fauna even in the face of invasion. We suggest this variation, rather than biotic interactions, may commonly underlie covariation between native and non-native faunas, especially in highly variable environments. If droughts become increasingly severe due to climate change, and floods increasingly muted due to regulation, fish assemblages in desert rivers may become taxonomically and functionally impoverished and dominated by non-native taxa.
机译:极端气候的变化和非本地物种的入侵是对本地动物的最突出的两个威胁。要预测全球变化与本地动物之间的关系,就需要一个定量工具包,该工具包必须将极端事件的发生时间和严重程度与物种数量的变化联系起来。在这里,我们研究了排放异常-意外的洪水和干旱-如何确定亚利桑那州一条高度变化的沙漠河流中丰富的本地和非本地鱼类物种的协变。我们使用傅立叶分析对每天> 15000的观测值进行定量的放电随机变化。随后,我们使用多元自回归状态空间(MARSS)模型将最大年度光谱异常与15年时间的鱼类丰度序列(1994-2008年)相结合。非生物驱动因素(排放异常)在确定长期鱼类丰度方面至关重要,而生物驱动因素(物种相互作用)仅起次要作用。如预测的那样,异常干旱减少了本地物种的数量,而洪水则增加了数量。但是,与以前的研究相反,我们观察到非本地组合意外地对极端事件没有反应。生物特征分析表明,本地鱼类的功能独特性高于非本地鱼类。我们还发现,排放异常影响了元社区水平的多样性模式,由于本地物种的差异性损害,异常干旱后巢穴增加。总的来说,我们的研究结果提出了这样一种观念,即流量变化对于长期确定群落轨迹至关重要,即使面对入侵也能预测本地动物的持久性。我们建议这种变化而非生物相互作用通常可能是本地和非本地动物之间的协变基础,尤其是在高度可变的环境中。如果干旱由于气候变化而变得越来越严重,而洪水由于法规而变得越来越无声,那么沙漠河流中的鱼群可能在分类和功能上变得贫困,并以非本地分类群为主导。

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