Distribution of eight heavy metals in the inner shelf sediments of East China Sea: Risk assessments and sources analysis

Wang, Chunjie; Wang, Zhangwei; Zhang, Xiaoshan

doi:10.1080/20964129.2021.1888656

Cited by 7 publications

(3 citation statements)

References 59 publications

(71 reference statements)

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“…SPSS 25.0 software (SPSS Inc., Chicago, IL, USA) was used for the statistical analysis, and the analyzed items include hierarchical cluster analysis, principal component analysis, and the correlation and significance difference of experimental data [25,26]. Pearson correlation coefficient was chosen for the type of correlation analysis.…”

Section: Discussionmentioning

confidence: 99%

Distribution and Ecological Risk Assessment of Nutrients and Heavy Metals in the Coastal Zone of Yantai, China

Li,

Bao,

Wang

et al. 2024

Water

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As urbanization accelerates, a growing influx of pollutants enters the sea through land runoff, posing a threat to coastal ecosystems. In this study, we systematically determined the concentrations of nutrients and heavy metals in the water and sediments of coastal areas (Yantai, China) and assessed their sources and ecological risks. The results showed that inland rivers transported large amounts of NO3− and PO43− into coast water, which caused severe eutrophication. Regarding heavy metals, copper dominated in seawater, whereas plumbum and arsenic were dominant in sediment, which was sourced from aerosol deposition and mariculture. Zinc, chromium, copper, mercury, and cadmium contributed slightly to pollution, with low enrichment factors, mainly from natural sources. Further analysis showed that zinc, mercury, copper, and arsenic were significantly affected by the grain size composition in sediment. Ecological risk assessment indicated that the coastal zone of Yantai City is in a state of light heavy-metal pollution.

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Section: Discussionmentioning

confidence: 99%

Distribution and Ecological Risk Assessment of Nutrients and Heavy Metals in the Coastal Zone of Yantai, China

Li,

Bao,

Wang

et al. 2024

Water

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“…The lack of allometric biomass models of young trees affects the accuracy of assessing the available forest biomass, forest fuel load, and carbon sink [5]. Due to the small size of young trees, not calculating the volume of a few young trees will not have a significant impact on the estimation of the carbon stock.…”

Section: Introductionmentioning

confidence: 99%

Construction of Additive Allometric Biomass Models for Young Trees of Two Dominate Species in Beijing, China

Wang,

Feng,

Wang

et al. 2024

Forests

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The traditional volume-derived biomass method is limited because it does not fully consider the carbon sink of young trees, which leads to the underestimation of the carbon sink capacity of a forest ecosystem. Therefore, there is an urgent need to establish an allometric biomass model of young trees to provide a quantitative basis for accurately estimating the carbon storage and carbon sink of young trees. The destructive data that were used in this study included the biomass of the young trees of the two dominant species (Betula pendula subsp. mandshurica (Regel) Ashburner & McAll and Populus × tomentosa Carrière) in China, which was composed of the aboveground biomass (Ba), belowground biomass (Bb), and total biomass (Bt). Univariate and bivariate dimensions were selected and five candidate biomass models were independently tested. Two additive allometric biomass model systems of young trees were established using the proportional function control method and algebraic sum control method, respectively. We found that the logistic function was the most suitable for explaining the allometric growth relationship between the Ba, Bt, and diameter at breast height (D) of young trees; the power function was the most suitable for explaining the allometric growth relationship between the Bb and D of young trees. When compared with the independent fitting model, the two additive allometric biomass model systems provide additive biomass prediction which reflects the conditions in reality. The accuracy of the Bt models and Ba models was higher, while the accuracy of the Bb models was lower. In terms of the two dimensions—univariate and bivariate, we found that the bivariate additive allometric biomass model system was more accurate. In the univariate dimension, the proportional function control method was superior to the algebraic sum control method. In the bivariate dimension, the algebraic sum control method was superior to the proportional function control method. The additive allometric biomass models provide a reliable basis for estimating the biomass of young trees and realizing the additivity of the biomass components, which has broad application prospects, such as the monitoring of carbon stocks and carbon sink evaluation.

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“…There could be one or multiple species of bacteria living inside the specialized gill epithelial cells (i.e., bacteriocytes) of the mussels or on other epithelial tissues. In addition, the capacity of filter-feeding was retained after the establishment of endosymbiosis [ 6 – 8 ].…”

Section: Introductionmentioning

confidence: 99%

Gene expression profiles provide insights into the survival strategies in deep-sea mussel (Bathymodiolus platifrons) of different developmental stages

Huang

Lü

et al. 2022

BMC Genomics

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Background Deep-sea mussels living in the cold seeps with enormous biomass act as the primary consumers. They are well adapted to the extreme environment where light is absent, and hydrogen sulfide, methane, and other hydrocarbon-rich fluid seepage occur. Despite previous studies on diversity, role, evolution, and symbiosis, the changing adaptation patterns during different developmental stages of the deep-sea mussels remain largely unknown. Results The deep-sea mussels (Bathymodiolus platifrons) of two developmental stages were collected from the cold seep during the ocean voyage. The gills, mantles, and adductor muscles of these mussels were used for the Illumina sequencing. A total of 135 Gb data were obtained, and subsequently, 46,376 unigenes were generated using de-novo assembly strategy. According to the gene expression analysis, amounts of genes were most actively expressed in the gills, especially genes involved in environmental information processing. Genes encoding Toll-like receptors and sulfate transporters were up-regulated in gills, indicating that the gill acts as both intermedium and protective screen in the deep-sea mussel. Lysosomal enzymes and solute carrier responsible for nutrients absorption were up-regulated in the older mussel, while genes related to toxin resistance and autophagy were up-regulated in the younger one, suggesting that the older mussel might be in a vigorous stage while the younger mussel was still paying efforts in survival and adaptation. Conclusions In general, our study suggested that the adaptation capacity might be formed gradually during the development of deep-sea mussels, in which the gill and the symbionts play essential roles.

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Distribution of eight heavy metals in the inner shelf sediments of East China Sea: Risk assessments and sources analysis

Cited by 7 publications

References 59 publications

Distribution and Ecological Risk Assessment of Nutrients and Heavy Metals in the Coastal Zone of Yantai, China

Distribution and Ecological Risk Assessment of Nutrients and Heavy Metals in the Coastal Zone of Yantai, China

Construction of Additive Allometric Biomass Models for Young Trees of Two Dominate Species in Beijing, China

Gene expression profiles provide insights into the survival strategies in deep-sea mussel (Bathymodiolus platifrons) of different developmental stages

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