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Meta-analysis reveals complex marine biological responses to the interactive effects of ocean acidification and warming

机译:荟萃分析揭示了海洋生物对海洋酸化和变暖相互作用的复杂反应

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摘要

Ocean acidification and warming are considered two of the greatest threats to marine biodiversity, yet the combined effect of these stressors on marine organisms remains largely unclear. Using a meta-analytical approach we assessed the biological responses of marine organisms to the effects of ocean acidification and warming in isolation and combination. As expected biological responses varied across taxonomic groups, life-history stages and trophic levels, but importantly, combining stressors generally exhibited a stronger biological (either positive or negative) effect. Using a subset of orthogonal studies we show that four out of five of the biological responses measured (calcification, photosynthesis, reproduction and survival, but not growth) interacted synergistically when warming and acidification were combined. The observed synergisms between interacting stressors suggest that care must be made in making inferences from single-stressor studies. Our findings clearly have implications for the development of adaptive management strategies particularly given that the frequency of stressors interacting in marine systems will be likely to intensify in the future. There is now an urgent need to move towards more robust, holistic and ecologically realistic climate-change experiments that incorporate interactions. Without them accurate predictions about the likely deleterious impacts to marine biodiversity and ecosystem functioning over the next century will not be possible.
机译:海洋酸化和变暖被认为是对海洋生物多样性的两个最大威胁,但这些压力因素对海洋生物的综合影响仍不清楚。使用荟萃分析方法,我们以隔离和组合方式评估了海洋生物对海洋酸化和变暖影响的生物学响应。正如预期的生物反应在生物分类组,生活史阶段和营养水平上有所不同,但重要的是,组合应激源通常表现出更强的生物(正或负)效应。使用正交研究的子集,我们发现,当变暖和酸化相结合时,所测得的五分之四的生物学反应(钙化,光合作用,繁殖和存活,而不是生长)协同相互作用。在相互作用的应激源之间观察到的协同作用表明,在从单一应激源研究中作出推论时必须格外小心。我们的发现显然对适应性管理策略的发展具有影响,特别是考虑到未来海洋系统中应激源相互作用的频率可能会加剧。现在迫切需要朝着结合相互作用的更健壮,整体和生态现实的气候变化实验方向发展。没有它们,就不可能对下一个世纪可能对海洋生物多样性和生态系统功能造成的有害影响做出准确的预测。

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