Literature DB >> 21290120

Mercury biomagnification in the aquaculture pond ecosystem in the Pearl River Delta.

Zhang Cheng1, Peng Liang, Ding-Ding Shao, Sheng-Chun Wu, Xiang-Ping Nie, Kun-Ci Chen, Kai-Bin Li, Ming-Hung Wong.   

Abstract

This is the first study to investigate the rate of mercury (Hg) biomagnification in the aquaculture pond ecosystem of the Pearl River Delta (PRD), China, by analyzing total mercury (THg) and methyl mercury (MeHg) concentrations in various species of fish at different trophic levels (TLs). Species representing a gradient of trophic positions in the aquaculture pond food chains were chosen for analyzing THg and MeHg concentrations. In this study, there were two kinds of the aquaculture pond food chains: (1) omnivorous (fish feeds, zooplankton, grass carp [Ctenopharyngodon idellus], and bighead carp [Aristichthys nobilis]) and (2) predatory (zooplankton, mud carp [Cirrhina molitorella], and mandarin fish [Siniperca kneri]). Bighead carp and mandarin fish had the highest MeHg and THg concentrations, i.e., an order of magnitude higher than other species, in their respective food chains. More than 90% of the THg concentrations detected in bighead carp, mandarin fish, and mud carp were in the methylated form. In this study, %MeHg increased with TLs and MeHg concentrations, reflecting that MeHg is the dominant chemical species of Hg accumulated in higher concentrations in biota, especially biota associated with higher TLs in the food chains. The trophic magnification factors were 2.32 and 2.60 for MeHg and 1.94 and 2.03 for THg in omnivorous and predatory food chains, respectively, in PRD. Hg concentrations in fish tissue correlated to Hg levels in the ambient environment, and sediment seemed to be the major source for Hg accumulated in fish. In addition, feeding habit also affected Hg accumulation in different fish species. Four significant linear relationships were obtained between log-THg and δ(15)N and between log-MeHg and δ(15)N. The slope of the regression equations, as biomagnification power, was smaller in magnitude compared with those reported for temperate and arctic marine and freshwater ecosystems, indicating that THg and MeHg biomagnifications were lower in this PRD subtropical aquaculture pond ecosystem. This was probably due to low Hg bioavailability at lower TLs as well as individual feeding behavior of fish. © Springer Science+Business Media, LLC 2011

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21290120     DOI: 10.1007/s00244-010-9641-z

Source DB:  PubMed          Journal:  Arch Environ Contam Toxicol        ISSN: 0090-4341            Impact factor:   2.804


  9 in total

1.  The associations between metals/metalloids concentrations in blood plasma of Hong Kong residents and their seafood diet, smoking habit, body mass index and age.

Authors:  Yan Yan Qin; Clement Kai Man Leung; Che Kit Lin; Ming Hung Wong
Journal:  Environ Sci Pollut Res Int       Date:  2015-05-05       Impact factor: 4.223

2.  Mercury biomagnification in subtropical reservoir fishes of eastern China.

Authors:  N Roxanna Razavi; Mingzhi Qu; Binsong Jin; Wenwei Ren; Yuxiang Wang; Linda M Campbell
Journal:  Ecotoxicology       Date:  2013-12-13       Impact factor: 2.823

3.  Nematode and mercury content in freshwater fish belonging to different trophic levels.

Authors:  Jesus Olivero-Verbel; Karina Caballero-Gallardo
Journal:  Parasitol Res       Date:  2013-03-14       Impact factor: 2.289

4.  Arsenic contamination in the freshwater fish ponds of Pearl River Delta: bioaccumulation and health risk assessment.

Authors:  Zhang Cheng; Kun-Ci Chen; Kai-Bin Li; Xiang-Ping Nie; Sheng Chun Wu; Chris Kong-Chu Wong; Ming-Hung Wong
Journal:  Environ Sci Pollut Res Int       Date:  2012-12-18       Impact factor: 4.223

5.  Shark fin, a symbol of wealth and good fortune may pose health risks: the case of mercury.

Authors:  Yu Bon Man; Sheng Chun Wu; Ming Hung Wong
Journal:  Environ Geochem Health       Date:  2014-02-27       Impact factor: 4.609

6.  Environmental mercury concentrations in cultured low-trophic-level fish using food waste-based diets.

Authors:  Zhang Cheng; Wing Yin Mo; Yu Bon Man; Cheung Lung Lam; Wai Ming Choi; Xiang Ping Nie; Yi Hui Liu; Ming Hung Wong
Journal:  Environ Sci Pollut Res Int       Date:  2014-08-05       Impact factor: 4.223

7.  Hair mercury and risk assessment for consumption of contaminated seafood in residents from the coast of the Persian Gulf, Iran.

Authors:  Narjes Okati; Abbas Esmaili-Sari
Journal:  Environ Sci Pollut Res Int       Date:  2017-10-19       Impact factor: 4.223

8.  Bioaccumulation of trace mercury in trophic levels of benthic, benthopelagic, pelagic fish species, and sea birds from Arvand River, Iran.

Authors:  Mehdi Hosseini; Seyed Mohammad Bagher Nabavi; Yaghob Parsa
Journal:  Biol Trace Elem Res       Date:  2013-10-31       Impact factor: 3.738

9.  The risk of mercury exposure to the people consuming fish from Lake Phewa, Nepal.

Authors:  Devna Singh Thapa; Chhatra Mani Sharma; Shichang Kang; Mika Sillanpää
Journal:  Int J Environ Res Public Health       Date:  2014-06-27       Impact factor: 3.390

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.