Risk assessment of potentially toxic elements accumulated in fish to Indo-Pacific humpback dolphins in the South China Sea

Ye, Lin; Yu, Xiaoxuan; Huang, Linlin; Sanganyado, Edmond; Bi, Ran; Li, Ping; Liu, Wenhua

doi:10.1016/j.scitotenv.2020.143256

Cited by 15 publications

(10 citation statements)

References 59 publications

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“…41 Thus, the bioaccumulation of heavy metals observed in the milk and blood samples of female Amazon river dolphin should reflect, at least in part, the fish ingested by her in remote areas of the floodplains since bioaccumulation and biomagnification of heavy metals in cetaceans occurs primarily through the diet. 1 The analysis of prey tissue can be a powerful tool to assess the health risks for cetaceans when they are subjected to chemical exposure, according to Lin et al 42 Studies on contamination by heavy metals in fish from the MSDR region have not been performed to date. However, studies considering other regions of the Amazon basin have shown that many fish species, including those that are known prey of Amazon river dolphin, 37 present high concentrations of heavy metals bioaccumulated in their tissues (e.g., cadmium, chromium, copper, lead, zinc, and mercury), both in areas with high mining activities (e.g., Madeira, Tapaj os, and Cassiporé Rivers) and in areas with low mining activities (e.g., Negro River).…”

Section: Resultsmentioning

confidence: 99%

Detection and quantification of heavy metals in blood and milk of Amazon river dolphin (Inia geoffrensis) (Cetartiodactyla: Iniidae) using wavelength‐dispersive X‐ray fluorescence spectrometry

et al. 2023

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River dolphins of the genus Inia are among the most endangered cetacean species in the world. However, information on the elemental constitution of the blood and milk of these species is still quite scarce. This study aims to evaluate the wavelength‐dispersive X‐ray fluorescence (WD‐XRF) spectrometry to detect and quantify heavy metals in blood and milk samples of a free‐ranging female Amazon river dolphin (Inia geoffrensis) from Central Amazon, Brazil. The WD‐XRF method detected and quantified 14 elements (Na, Mg, Al, Si, P, S, Cl, K, Ca, Cr, Mn, Fe, Zn, and Cu) in the samples analyzed, in which 13 elements were in the blood and 14 were in the milk. The WD‐XRF method did not detect some heavy metals, including those already described for the Amazon river dolphin milk (e.g., mercury) detected by other analytical methods, such as atomic absorption spectrometry (AAS). However, it is possible that the samples analyzed may come from a non‐contaminated individual. Therefore, the joint use of different analytical methods is recommended for future analyses. In addition, both blood and milk samples presented high concentrations of some metals, and the health risks of botos are discussed. This result demonstrates that the WD‐XRF method is a viable analytical procedure for detecting certain elements and quantifying their concentrations in liquid biological samples of Amazonian cetaceans.

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Section: Resultsmentioning

confidence: 99%

Detection and quantification of heavy metals in blood and milk of Amazon river dolphin (Inia geoffrensis) (Cetartiodactyla: Iniidae) using wavelength‐dispersive X‐ray fluorescence spectrometry

et al. 2023

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“…From 1999 to 2018, the DL caused by aquatic product intake increased and then decreased, while the proportion of DL to total risk showed slow growth from 1999 to 2016. The increased intake of aquatic products and the accumulation of heavy metals were the primary reasons for this phenomenon [ 7 ]. The national per capita intake of freshwater aquatic products rose from 3.8 kg/person/year in 1999 to 7.8 kg/person/year in 2018 [ 45 , 46 ].…”

Section: Resultsmentioning

confidence: 99%

“…It has been discovered that the heavy metal accumulation effects are severe in rivers of China, such as the Yangtze River [ 3 ], the Pearl River [ 4 , 5 ], and the eastern coastal rivers [ 6 ]. Although heavy metal emissions have decreased significantly in the recent decade, EHR-IHM is still prominent due to a large amount of historically accumulated heavy metal [ 7 , 8 ]. Since the 13th Five-Year Plan period (2015–2020), preventing environmental risks and protecting public health have become the focus of comprehensive prevention and control of heavy metal pollution in China.…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Distribution of Environmental Health Risk of Heavy Metals in Industrial Wastewater of China during 1999–2018

Han

Zhou

Chen

2021

IJERPH

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In recent decades, environmental health risk caused by heavy metals in industrial wastewater (EHR-IHM) has become a serious issue globally, especially for China. Given the spatial difference of heavy metal emissions, hydrogeography, population distribution, etc., it is essential to estimate China’s EHR-IHM from a high-resolution perspective. Based on the framework of USEtox, this study constructs an environmental health risk assessment method for heavy metals discharged from industrial wastewater by coupling the Pollutant Accumulation Model (PAM). This method also considers the process of heavy metal flows between upstream and downstream areas. Based on this constructed method, we investigate the spatio-temporal distribution of EHR-IHM of As, Cd, Cr(VI), Hg, and Pb in China from 1999 to 2018. Results showed that the EHR-IHM in China increased rapidly during 1999–2007 and decreased gradually during 2007–2018, with the highest Damage Level (DL) of 6.8 × 104 disability-adjusted life years (DALY). As and Cr(VI) were the major heavy metal pollutants, which induced 58.9–70.6% and 23.9–36.2% of the total EHR-IHM, respectively. Intake of aquatic products was the dominant exposure route, accounting for over 84.1% of national EHR-IHM, followed by drinking water intake, accounting for 9.5–15.8%. Regarding spatial distribution, the regions with high EHR-IHM are mainly distributed in the middle–lower reaches of the Yangtze River, southeast coastal cities, Bohai Rim, etc.

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“…Against this backdrop, a series of fishery studies has been made using various analysis such as fishing stock assessments, fishing-related habitat analysis and spatio-temporal analysis of fishing resources [9][10][11][12][13][14][15][16][17][18][19][20]. However, most studies in the SCS preferred an analysis of the small-scale fisheries at a single or inconsistent time [4,6,[21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39] and few attempts have been made to investigate large-scale fishery dynamics and access their regularity. Lacking large-scale consistent time-series fishery data is a main reason for this scarcity.…”

Section: Introductionmentioning

confidence: 99%

Satellite Observation of the Marine Light-Fishing and Its Dynamics in the South China Sea

Liu

Sun

et al. 2021

JMSE

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The South China Sea (SCS) is one of the most important fishery resource bases in the world. Marine fisheries, as a crucial component of regional food security and national revenue, raise wide concern about marine ecology, social-economic and political consequences at regional, national and local scales. The large-scale dynamic detection and analysis of fishing activity in the SCS is still unclear because of the accessibility of in-site data, finite automatic identification system (AIS) usage, complex geopolitics and poor additional data coverage. Nighttime light imagery (NTL) derived from low light imaging sensors and the popularity of light fishing in the SCS offers a unique way to unveil fishing activities and its dynamics. In this study, we proposed a set of algorithms for automatic detection of nighttime fishing activity and provided the first large-scale dynamic analysis of nighttime fishing activity in the SCS using monthly Visible Infrared Imaging Radiometer Suite (VIIRS) images between 2012 and 2019. The proposed method effectively minimized the spatio-temporal fluctuations in radiance values of background and their implications to ship detection by integrating high radiance gradient detection and local adaptive thresholding. Further, nighttime fishing activity trajectories were decomposed into trend and seasonal components by using Hilbert-Huang transformation (HHT) to accurately access general trends and the seasonality of nighttime fishing activity in the SCS. The typical subregions analysis, environmental driver analysis, correlation coefficient analysis and hot spot analysis were integrated to characterize the nighttime fishing activity. It appears that the nighttime fishing activity in the SCS exhibited spatio-temporal variability and heterogeneity and was shaped by policy and natural factors such as holidays, annual Chinese fishery moratoria in the Chinese Exclusive Economic Zone (EEZ) and seasonal tropical storm activity.

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Risk assessment of potentially toxic elements accumulated in fish to Indo-Pacific humpback dolphins in the South China Sea

Cited by 15 publications

References 59 publications

Detection and quantification of heavy metals in blood and milk of Amazon river dolphin (Inia geoffrensis) (Cetartiodactyla: Iniidae) using wavelength‐dispersive X‐ray fluorescence spectrometry

Detection and quantification of heavy metals in blood and milk of Amazon river dolphin (Inia geoffrensis) (Cetartiodactyla: Iniidae) using wavelength‐dispersive X‐ray fluorescence spectrometry

Spatio-Temporal Distribution of Environmental Health Risk of Heavy Metals in Industrial Wastewater of China during 1999–2018

Satellite Observation of the Marine Light-Fishing and Its Dynamics in the South China Sea

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