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A Large And Prolonged Bloom Of Karenia Mikimotoi In Scottish Waters In 2006

机译:2006年苏格兰水域的Karenia Mikimotoi大量长时间开花

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A prolonged bloom of Karenia mikimotoi was observed during 2006 in Scottish waters. This bloom is thought to be unique in the region in terms of its large spatial extent. From its first detection in the west of the country, the bloom moved clockwise around the coast eventually reaching the east coast and the Shetland Isles to the north. The bloom resulted in extensive mortalities of benthic organisms including annelids and molluscs and some species offish. Farmed fish mortalities were absent but gill damage was reported. The availability of satellite remote sensing, phytoplankton counts from multiple sites, meteorological data and some water chemistry, as well as information on the physical characteristics of the sampling sites, provided an extensive spatial and temporal data set. Analysis of remotely sensed chlorophyll-a data from Aqua-MODIS indicated that this parameter is a useful early warning indicator of K. mikimotoi in shelf waters off the Scottish west coast, and suggested that the bloom developed in this region prior to its advection to coastal waters. An earth observation (EO) based harmful bloom classifier for K. mikimotoi recognised areas of elevated K. mikimotoi cell density but generated false positives in areas of high reflectance. Data were also used to evaluate, in Scottish waters, various hypotheses that exist to explain the formation of K. mikimotoi blooms including phototaxis, nutrient availability, cell transport and elevated water temperature. Specifically, we sought to evaluate if routinely collected environmental data (water temperature, insolation, wind strength and direction, and sea-loch aspect) could be used as a predictor of bloom magnitude near aquaculture facility locations, which typically lie within fjordic sea lochs. Path analysis was used to derive intuitive models linking environmental drivers to bloom magnitude. Once the effects of latitude such as northward water cooling were taken into account, only rainfall was a significant predictor of bloom magnitude at the sampling sites. Therefore, while the offshore development and progression of a bloom may be predicted from satellite information, it is likely that local hydrodynamic influences are crucial in determining its magnitude at coastal aquaculture sites.
机译:2006年在苏格兰水域观察到了Karenia mikimotoi的长时间开花。就其大的空间范围而言,这种花被认为在该地区是独特的。从在该国西部首次发现以来,水华沿海岸顺时针方向移动,最终到达东海岸,北至设得兰群岛。水华使底栖生物大量死亡,其中包括肘节动物和软体动物以及一些鱼类。没有养殖鱼类死亡率,但据报道有g损坏。卫星遥感的可用性,来自多个地点的浮游植物计数,气象数据和一些水化学,以及有关采样地点的物理特征的信息,提供了广泛的时空数据集。对来自Aqua-MODIS的遥感叶绿素-a数据的分析表明,该参数是苏格兰西海岸外陆架水域中mikimotoi的有用预警指标,并建议该区域在平流至沿海之前就已开始开花。水域。基于地球观测(EO)的有害微生物绽放分类器,可以识别出三叠纪K.细胞密度升高的区域,但在高反射率区域产生了假阳性。数据还被用于评估苏格兰水域中存在的各种假说,这些假说可用来解释mikimotoi绽放的形成,包括趋光性,养分利用率,细胞转运和水温升高。具体来说,我们试图评估是否可以将常规收集的环境数据(水温,日照,风强度和方向以及海域方面)用作水产养殖设施位置(通常位于峡湾海域内)附近水华强度的预测指标。路径分析用于导出将环境驱动因素与开花程度联系起来的直观模型。一旦考虑到纬度的影响(如北向水冷),只有降雨是采样地点绽放强度的重要预测指标。因此,虽然可以从卫星信息中预测出水华的近海发展和进程,但当地的水动力影响可能对于确定沿海水产养殖场址的规模至关重要。

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