Environmental and Fisheries Sciences Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 2725 Montlake Blvd E, Seattle, WA 98112, USA.
Environmental and Fisheries Sciences Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 2725 Montlake Blvd E, Seattle, WA 98112, USA.
Harmful Algae. 2020 Jan;91:101591. doi: 10.1016/j.hal.2019.03.009. Epub 2019 May 3.
Time series now have sufficient duration to determine harmful algal bloom (HAB) responses to changing climate conditions, including warming, stratification intensity, freshwater inputs and natural patterns of climate variability, such as the El Niño Southern Oscillation and Pacific Decadal Oscillation. Against the context of time series, such as those available from phytoplankton monitoring, dinoflagellate cyst records, the Continuous Plankton Recorder surveys, and shellfish toxin records, it is possible to identify extreme events that are significant departures from long-term means. Extreme weather events can mimic future climate conditions and provide a "dress rehearsal" for understanding future frequency, intensity and geographic extent of HABs. Three case studies of extreme HAB events are described in detail to explore the drivers and impacts of these oceanic outliers that may become more common in the future. One example is the chain-forming diatom of the genus Pseudo-nitzschia in the U.S. Pacific Northwest and its response to the 2014-16 northeast Pacific marine heat wave. The other two case studies are pelagic flagellates. Highly potent Alexandrium catenella group 1 dinoflagellate blooms (up to 150 mg/kg PST in mussels; 4 human poisonings) during 2012-17 created havoc for the seafood industry in Tasmania, south-eastern Australia, in a poorly monitored area where such problems were previously unknown. Early evidence suggests that changes in water column stratification during the cold winter-spring season are driving new blooms caused by a previously cryptic species. An expansion of Pseudochattonella cf. verruculosa to the south and A. catenella to the north over the past several years resulted in the convergence of both species to cause the most catastrophic event in the history of the Chilean aquaculture in the austral summer of 2016. Together, these two massive blooms were colloquially known as the "Godzilla-Red tide event", resulting in the largest fish farm mortality ever recorded worldwide, equivalent to an export loss of USD$800 million which when combined with shellfish toxicity, resulted in major social unrest and rioting. Both blooms were linked to the strong El Niño event and the positive phase of the Southern Annular Mode, the latter an indicator of anthropogenic climate change in the southeastern Pacific region. For each of these three examples, representing recent catastrophic events in geographically distinct regions, additional targeted monitoring was employed to improve the understanding of the climate drivers and mechanisms that gave rise to the event and to document the societal response. Scientists must be poised to study future extreme HAB events as these natural experiments provide unique opportunities to define and test multifactorial drivers of blooms.
时间序列现在已经有足够的时间来确定有害藻类大量繁殖(HAB)对不断变化的气候条件的反应,包括变暖、分层强度、淡水输入和气候变异性的自然模式,如厄尔尼诺南方涛动和太平洋年代际振荡。在时间序列的背景下,例如来自浮游植物监测、有孔虫孢粉记录、连续浮游生物记录器调查和贝类毒素记录的时间序列,可以确定与长期平均值显著偏离的极端事件。极端天气事件可以模拟未来的气候条件,并为了解未来 HAB 的频率、强度和地理范围提供“彩排”。本文详细描述了三个极端 HAB 事件的案例研究,以探讨这些可能在未来变得更加常见的海洋异常值的驱动因素和影响。一个例子是美国太平洋西北地区的拟菱形藻属的链状硅藻及其对 2014-16 年东北太平洋海洋热浪的反应。另外两个案例研究是浮游鞭毛藻。在塔斯马尼亚东南澳大利亚监测不善的地区,高度有效的亚历山大藻组 1 甲藻大量繁殖(贻贝中高达 150mg/kg PST;4 人中毒)在 2012-17 年期间对海鲜产业造成了严重破坏,此前这里从未出现过此类问题。早期证据表明,冬季-春季冷水柱分层的变化正在推动由以前隐匿物种引起的新的繁殖。几年来,拟伪鱼腥藻 cf.verruculosa 向南扩展,亚历山大藻向北扩展,导致这两个物种在 2016 年智利水产养殖历史上最具灾难性的事件中汇聚,造成了历史上最严重的鱼场死亡。这两个大规模的繁殖通常被称为“哥斯拉赤潮事件”,导致了有记录以来世界上最大的鱼类养殖死亡率,相当于 8 亿美元的出口损失,加上贝类毒素,导致了重大的社会动荡和骚乱。这两个繁殖都与强烈的厄尔尼诺事件和南方环状模式的正相位有关,后者是东南太平洋地区人为气候变化的指标。对于这三个代表地理上不同地区最近灾难性事件的例子,额外的有针对性的监测被用来提高对导致事件的气候驱动因素和机制的理解,并记录社会的反应。随着这些自然实验为确定和测试大量繁殖的多因素驱动因素提供了独特的机会,科学家们必须准备好研究未来的极端 HAB 事件。