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Combining projected changes in species richness and composition reveals climate change impacts on coastal Mediterranean fish assemblages

机译:结合物种丰富度和组成的预测变化,揭示气候变化对地中海沿岸鱼类种群的影响

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Species Temporal Turnover (STT) is one of the most familiar metrics to assess changes in assemblage composition as a consequence of climate change. However, STT mixes two components in one metric, changes in assemblage composition caused by a process of species loss or gain (i.e. the nestedness component) and changes in assemblage composition caused by a process of species replacement (i.e. the species replacement component). Drawing on previous studies investigating spatial patterns of beta diversity, we propose measures of STT that allow analysing each component (species replacement vs. nestedness), separately. We also present a mapping strategy to simultaneously visualize changes in species richness and assemblage composition. To illustrate our approach, we used the Mediterranean coastal fish fauna as a case study. Using Bioclimatic Envelope Models (BEMs) we first projected the potential future climatic niches of 288 coastal Mediterranean fish species based on a global warming scenario. We then aggregated geographically the species-level projections to analyse the projected changes in species richness and composition. Our results show that projected changes in assemblage composition are caused by different processes (species replacement vs. nestedness) in several areas of the Mediterranean Sea. In addition, our mapping strategy highlights that the coastal fish fauna in several regions of the Mediterranean Sea could experience a cul-de-sac effect if exposed to climate warming. Overall, the joint exploration of changes in species richness and composition coupled with the distinction between species replacement and nestedness bears important information for understanding the nature of climate change impacts on biodiversity. These methodological advances should help decision-makers in prioritizing action in the areas facing the greatest vulnerability to climate.
机译:物种临时周转率(STT)是评估由于气候变化而导致的组合物组成变化的最熟悉的指标之一。但是,STT将两种成分混合在一个度量标准中,这是由物种丧失或增加的过程(即嵌套性)导致的组合物成分的变化,以及由物种替代的过程(即物种替换的成分)引起的组合物成分的变化。根据先前研究β多样性空间模式的研究,我们提出了STT的测量方法,可以分别分析每个组件(物种替代与嵌套)。我们还提出了一种制图策略,以同时可视化物种丰富度和组合物组成的变化。为了说明我们的方法,我们以地中海沿岸鱼类区系为例进行了研究。我们首先使用生物气候信封模型(BEM),根据全球变暖情景预测了288种地中海沿岸鱼类的未来潜在生态位。然后,我们在地理上汇总了物种级别的预测,以分析物种丰富度和组成的预测变化。我们的结果表明,组合成分的预计变化是由地中海几个地区的不同过程(物种替代与嵌套)引起的。此外,我们的制图策略强调,如果暴露于气候变暖,地中海几个地区的沿海鱼类区系可能会经历死胡同。总体而言,对物种丰富度和组成变化的共同探索,以及对物种替代和嵌套的区别的共同探索,为了解气候变化对生物多样性影响的性质提供了重要信息。这些方法上的进步应有助于决策者在面临最大气候脆弱性的地区优先采取行动。

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