乌干达维多利亚湖周边湿地土壤和鱼类重金属潜在风险分析

IF 1.1 4区环境科学与生态学 Q4 LIMNOLOGY

Lake and Reservoir Management Pub Date : 2023-09-12 DOI:10.1080/10402381.2023.2239183

Grace Asiyo Ssanyu, Marvious Kiwanuka, Irene Lunkuse, Daphine Okumu, Norah Mutekanga Mbeiza

引用次数: 0

摘要

三宇GA, Kiwanuka M, Lunkuse I, Okumu D, Mbeiza NM。2023. 乌干达维多利亚湖周边湿地、土壤和鱼类重金属潜在风险的分析Res湖……

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Perspective of heavy metal potential risk in wetland soil and fish for amplified waste management around Lake Victoria, Uganda

Ssanyu GA, Kiwanuka M, Lunkuse I, Okumu D, Mbeiza NM. 2023. Perspective of heavy metal potential risk in wetlands soil and fish for amplified waste management around Lake Victoria, Uganda. Lake Res...

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Lake and Reservoir Management 环境科学-海洋与淡水生物学

自引率

6.70%

发文量

期刊介绍： Lake and Reservoir Management (LRM) publishes original, previously unpublished studies relevant to lake and reservoir management. Papers address the management of lakes and reservoirs, their watersheds and tributaries, along with the limnology and ecology needed for sound management of these systems. Case studies that advance the science of lake management or confirm important management concepts are appropriate as long as there is clearly described management significance. Papers on economic, social, regulatory and policy aspects of lake management are also welcome with appropriate supporting data and management implications. Literature syntheses and papers developing a conceptual foundation of lake and watershed ecology will be considered for publication, but there needs to be clear emphasis on management implications. Modeling papers will be considered where the model is properly verified but it is also highly preferable that management based on the model has been taken and results have been documented. Application of known models to yet another system without a clear advance in resultant management are unlikely to be accepted. Shorter notes that convey important early results of long-term studies or provide data relating to causative agents or management approaches that warrant further study are acceptable even if the story is not yet complete. All submissions are subject to peer review to assure relevance and reliability for management application.