Natural distinction of carbon and nitrogen isotopic niches in common fish species across marine biotopes in the Yellow River estuary

Qü, Ping; Pang, Min; Qu, Fangyuan; Zhao, Li; Meng, Xianjun; Zhang, Zhaohui

doi:10.1002/ece3.7895

Cited by 5 publications

(1 citation statement)

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“…The fish species community in Lake Edward were found to have higher nitrogen isotope ratios and lower carbon isotope ratios than in Lake George and the Kazinga Channel (Cox, 2018). Higher nitrogen ratios in fish are linked with a higher concentration of DIN in waterbodies (Qu et al., 2021). However, this may not explain the higher ratios in Lake Edward compared to Lake George and the Kazinga Channel because the former has the least concentration of DIN (Stoyneva‐Gärtner et al., 2020).…”

Section: Resultsmentioning

confidence: 99%

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

Musinguzi,

Vranken,

Natugonza

et al. 2023

Aquaculture Fish & Fisheries

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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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Section: Resultsmentioning

confidence: 99%