东非爱德华湖水系的水生生态系统和渔业知识现状

IF 1.1 Q3 FISHERIES
Laban Musinguzi, Nathan Vranken, Vianny Natugonza, William Okello, Maarten van Steenberge, Jos Snoeks
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引用次数: 0

摘要

对淡水渔业状况的了解不足且不可靠,限制了将淡水渔业纳入治理进程,从而阻碍了有效的管理措施。这威胁着人们的生计,尤其是发展中国家的人们。需要改进知识,以引起政策制定者的注意,促进采取有效的管理措施,加快淡水渔业的可持续发展。根据这一要求,本文介绍了东非爱德华湖系统水生生态系统和渔业的知识状况,重点是爱德华湖、乔治湖和卡津加海峡。通过审查初级生产力和水质、无脊椎动物、鱼类动物群、鱼类生活史和生态学以及渔业等方面的现有数据和信息,了解了相关知识的现状。自 20 世纪 30 年代以来,一直对这些水体进行监测,尽管监测时断时续,但提供了上述各方面的数据,但在时间上存在很大差距。关于水体水质状况、现存水生生物分类群(包括鱼类)和鱼类捕获量的数据和信息充足且不断更新,但后者存在不确定性。在生物群落丰度、鱼类生活史、定量营养生态学和渔业管理参考点方面存在数据和信息缺口。综合数据和信息可直接支持渔业管理决策。我们建议进行定期监测,以填补数据和信息空白,开展更全面的鱼量评估,并开发水生生态系统模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

State of knowledge of aquatic ecosystem and fisheries of the Lake Edward System, East Africa

State of knowledge of aquatic ecosystem and fisheries of the Lake Edward System, East Africa

Poor and unreliable knowledge of the status of freshwater fisheries limits their inclusion in governance processes, thereby impeding effective management measures. This threatens the livelihoods of people, particularly in developing countries. Improved knowledge is required to draw the attention of policymakers and stimulate effective management measures to accelerate the sustainability of the freshwater fisheries. In line with this requirement, this paper provides the state of knowledge of the aquatic ecosystem and fisheries of the Lake Edward system, East Africa, focusing on lakes Edward, George and the Kazinga channel. The state of knowledge was accomplished by reviewing existing data and information on aspects of primary productivity and water quality, invertebrates, fish fauna, fish life history and ecology, and fisheries. The waterbodies have been monitored since the 1930s, albeit sporadically, providing data on all the above aspects but with substantial temporal gaps. Adequate and updated data and information exist on the water quality status of the water bodies, extant aquatic taxa (including fishes) and fish catches but with uncertainties in the latter. Data and information gaps exist on the abundance of biotic communities, fish life history, quantitative trophic ecology and fisheries management reference points. The aggregated data and information can directly support decisions for fisheries management. We recommend regular monitoring to fill the data and information gaps, more comprehensive stock assessments and the development of aquatic ecosystem models.

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