Seasonal Early Warning of Impacts of Harmful Algal Blooms on Farmed Shellfish in Coastal Waters of Scotland

被引:0
|
作者
Stoner, O. [1 ]
Economou, T. [2 ,3 ]
Brown, A. R. [4 ]
机构
[1] Univ Glasgow, Sch Math & Stat, Glasgow, Scotland
[2] Cyprus Inst, Climate & Atmospher Res Ctr, Nicosia, Cyprus
[3] Univ Exeter, Dept Math & Stat, Exeter, England
[4] Univ Exeter, Dept Biosci, Exeter, England
基金
欧盟地平线“2020”;
关键词
shellfish mariculture; early warning system; dinophysis species; dinoflagellates; encystment; quiescence; HEALTH; RISK; GULF;
D O I
10.1029/2023WR034889
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Harmful Algal Blooms (HABs) can produce phycotoxins that accumulate in shellfish and subsequently poison aquatic predators and human consumers, potentially causing significant economic impacts to the shellfish aquaculture industry. HAB events are challenging to foresee as they are driven by complex inter-annual and seasonal changes in physical, chemical and biological factors. Accounting for these environmental drivers and their interactions in statistical models allows for the development of HAB early warning systems. Typically, these have a forecasting horizon of 1-2 weeks, allowing shellfish businesses and regulators to increase monitoring intensity and take evasive action, including harvesting suspensions to protect consumer health. However, there is critical need for longer-term predictions of risk, to enable more proactive mitigation, business planning, harvest scheduling and supply chain management. We present a statistical framework for providing seasonal-scale early warnings of the occurrence and impacts of Dinophysis spp. HABs on shellfish aquaculture in Scotland, UK. We use penalized smooth functions of winter-spring daily sea surface temperature to predict the severity and impact of ensuing summer blooms, including the percentage of toxicity measurements exceeding the harvesting closure threshold, as well as the anticipated start, end, and overall duration of closures. We illustrate the application of this framework to two Scottish aquaculture regions: One with a high spatial concentration of harvesting sites (Shetland) and one with more dispersed sites (West Scotland and the Hebrides). Through a comprehensive yearly prediction experiment, we demonstrate considerable skill in predicting the impact of unseen HAB seasons at a regional level. We present a new statistical approach for seasonal predictions of toxic Dinophysis species blooms in two regions of Scotland Results indicate a link between low winter-spring sea surface temperatures and high summer toxin concentrations in shellfish samples We demonstrate improved early warnings of harmful summer blooms using the first 120 days of sea surface temperature measurements each year
引用
收藏
页数:17
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