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量化智利南部养殖鲑鱼有害藻类水华的阈值。

Quantifying harmful algal bloom thresholds for farmed salmon in southern Chile.

机构信息

Interdisciplinary Center for Aquaculture Research (INCAR), Universidad de Concepción, O'Higgins 1695, Concepción, Chile.

Instituto Tecnológico del Salmon (INTESAL), Juan Soler Manfredini 41, Of. 1802, Puerto Montt, Chile.

出版信息

Harmful Algae. 2018 Jul;77:55-65. doi: 10.1016/j.hal.2018.05.004. Epub 2018 Jun 18.

Abstract

Harmful algal blooms (HABs) have affected salmon farms in Chile since the early 1970's, causing massive losses in fish. Two large HABs occurred in 2002 and 2009, during which Alexandrium catenella blooms killed tons of salmon over an extended geographic area in southern Chile. At the beginning of 2016, high and persistent densities of Pseudochattonella cf. verruculosa and A. catenella were detected in the estuarine and marine ecosystems of southern Chile. Mortality for this latter event reached 27 million salmon and trout (i.e. 39,000 tons). Unfortunately, the threshold concentrations of algae that could be harmful to the health of farmed salmon in southern Chile have not yet been quantified. Here, to protect fish farms from HABs, critical concentration levels, i.e. thresholds at which the behavior of farmed Salmo salar is affected by harmful algae were quantified using generalized linear mixed models (GLMM). An extensive database from southern Chile covering the period from 1989 to 2016 was analyzed. The database included salmon behavior, cell abundance of microalgae and oceanographic factors. For both species analyzed, the higher the cell abundance, the greater the probability of detecting anomalous behavior. A threshold of 397 cells/mL was estimated for A. catenella, although it can increase up to ca. >975 cells/mL at a Secchi depth >6 m and up to 874 cells/mL during flood tide. A threshold value <1 cell/mL for Pseudochattonella cf. verruculosa was found to be associated with anomalous salmon behavior, which significantly increased at a water temperature of 11 °C. Evidence for a relationship between fish behavior and mortality is provided.

摘要

自 20 世纪 70 年代初以来,有害藻类水华(HABs)一直影响着智利的鲑鱼养殖场,导致鱼类大量死亡。2002 年和 2009 年发生了两次大规模的 HABs,期间亚历山大藻(Alexandrium catenella)水华在智利南部的广大地理区域杀死了数吨鲑鱼。2016 年初,在智利南部的河口和海洋生态系统中检测到拟菱形藻(Pseudochattonella cf. verruculosa)和亚历山大藻(A. catenella)的高浓度和持续存在。后者的死亡率达到 2700 万鲑鱼和鳟鱼(即 39000 吨)。不幸的是,智利南部养殖鲑鱼健康可能受到危害的藻类浓度阈值尚未量化。在这里,为了保护鲑鱼养殖场免受 HABs 的影响,使用广义线性混合模型(GLMM)量化了对养殖鲑鱼行为产生影响的有害藻类的临界浓度水平,即阈值。分析了智利南部一个涵盖 1989 年至 2016 年期间的广泛数据库。该数据库包括鲑鱼行为、微藻细胞丰度和海洋学因素。对于分析的两种物种,细胞丰度越高,检测到异常行为的概率就越大。估计亚历山大藻的阈值为 397 个细胞/mL,但在 Secchi 深度>6 m 时,其浓度可增加到约>975 个细胞/mL,在涨潮时可增加到 874 个细胞/mL。发现 Pseudochattonella cf. verruculosa 的阈值值<1 个细胞/mL 与鲑鱼异常行为有关,当水温为 11°C 时,鲑鱼行为显著增加。提供了鱼类行为与死亡率之间关系的证据。

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