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Climate impacts on global hot spots of marine biodiversity

机译:气候对海洋生物多样性全球热点的影响

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摘要

Human activities drive environmental changes at scales that could potentially cause ecosystem collapses in the marine environment. We combined information on marine biodiversity with spatial assessments of the impacts of climate change to identify the key areas to prioritize for the conservation of global marine biodiversity. This process identified six marine regions of exceptional biodiversity based on global distributions of 1729 species of fish, 124 marine mammals, and 330 seabirds. Overall, these hot spots of marine biodiversity coincide with areas most severely affected by global warming. In particular, these marine biodiversity hot spots have undergone local to regional increasing water temperatures, slowing current circulation, and decreasing primary productivity. Furthermore, when we overlapped these hot spots with available industrial fishery data, albeit coarser than our estimates of climate impacts, they suggest a worrying coincidence whereby the world’s richest areas for marine biodiversity are also those areas mostly affected by both climate change and industrial fishing. In light of these findings, we offer an adaptable framework for determining local to regional areas of special concern for the conservation of marine biodiversity. This has exposed the need for finer-scaled fishery data to assist in the management of global fisheries if the accumulative, but potentially preventable, effect of fishing on climate change impacts is to be minimized within areas prioritized for marine biodiversity conservation.
机译:人类活动推动着环境变化,其规模可能导致海洋生态系统崩溃。我们将有关海洋生物多样性的信息与对气候变化影响的空间评估相结合,以确定优先重点保护全球海洋生物多样性的关键领域。根据1729种鱼类,124种海洋哺乳动物和330种海鸟的全球分布,这一过程确定了六个具有特殊生物多样性的海洋区域。总体而言,这些海洋生物多样性的热点与受全球变暖影响最严重的地区相吻合。特别是,这些海洋生物多样性热点经历了局部到区域性的水温升高,水流减缓和初级生产力下降。此外,当我们将这些热点与现有的工业渔业数据重叠时,尽管比我们对气候影响的估计要粗糙,但它们表明令人担忧的巧合,即世界上海洋生物多样性最丰富的地区也是受气候变化和工业捕鱼影响最大的地区。根据这些发现,我们提供了一个适用的框架,用于确定特别关注海洋生物多样性保护的地方到区域区域。如果要在优先于海洋生物多样性保护的区域内尽量减少捕捞对气候变化影响的累积但可能可预防的影响,这就需要更精细的渔业数据来协助全球渔业的管理。

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