A mini-review on fish mass kills within the Egyptian fisheries and aquaculture sectors: Impacts and proposed solutions

A. E. Eissa
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Abstract

Mass fish kills are abrupt events in which a significant number of fish of different ages and species perish in a specific aquatic region. Dramatic waves of mass kills have involved a large variety of economic fish species in both Egyptian fisheries and the aquaculture sector. Several episodes of mass mortalities of various infectious and noninfectious aetiologies have targeted a wide spectrum of freshwater and marine fish in both open-water and captive environments. Kafr El-Sheikh, Sharkia, Dakahlia, Fayoum, Alexandria and Giza were the most affected Egyptian provinces. The Mediterranean basin, Lake Manzala, Lake Mariott, Lake Burullus, River Nile, and some provincial water streams and municipal water drains were all reported to have had one or more episodes of mass kills over the past two decades. These mass kills were mainly attributed to different types / magnitudes of aquatic environmental pollution, which was explicitly aggravated by poor aquaculture / fishing practices. Further, the frequent absence of veterinary guidance has had a great negative impact on providing possible solutions for this disaster in the near future. Ultimately, adopting Good Aquaculture Practice (GAP), competent biosecurity strategies, and regular veterinary supervision will be the most practical solutions that ensure the reliable growth and sustainability of both Egyptian fisheries and aquaculture sectors.
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关于埃及渔业和水产养殖业鱼类大量死亡的小型回顾:影响和拟议解决方案
鱼类大量死亡是指在一个特定的水域中,大量不同年龄和种类的鱼类死亡的突发事件。在埃及渔业和水产养殖业中,各种经济鱼类都曾出现过大规模死亡的现象。在开放水域和人工饲养环境中,各种感染性和非感染性病原体导致的大规模死亡事件已针对多种淡水鱼和海水鱼。Kafr El-Sheikh、Sharkia、Dakahlia、Fayoum、Alexandria 和 Giza 是埃及受影响最严重的省份。据报告,地中海盆地、曼扎拉湖、马里奥特湖、布鲁鲁斯湖、尼罗河以及一些省份的溪流和市政排水沟在过去二十年里都发生过一次或多次大规模死亡事件。这些大规模死亡事件主要归因于不同类型/程度的水生环境污染,而不良的水产养殖/捕鱼方式则明显加剧了污染。此外,兽医指导的频繁缺失也对在不久的将来为这场灾难提供可能的解决方案产生了极大的负面影响。最终,采用良好水产养殖规范 (GAP)、有效的生物安全策略和定期的兽医监督将是确保埃及渔业和水产养殖业可靠增长和可持续发展的最切实可行的解决方案。
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
44
审稿时长
5 weeks
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