Marine pollution bulletin最新文献

{"title":"Evaluation of seasonal variations in energy sources and trophic positions of Calanus sinicus and Euphausia pacifica in the central-eastern Yellow Sea using bulk and compound-specific stable isotope analyses","authors":"Jiseung Kang ,&nbsp;Yeonjung Lee ,&nbsp;Dong Han Choi ,&nbsp;Jae Hoon Noh ,&nbsp;Howon Lee ,&nbsp;Hyung-Ku Kang ,&nbsp;Garam Kim ,&nbsp;Kongtae Ra ,&nbsp;Myung Jin Hyun ,&nbsp;Won Seok Yang ,&nbsp;JongSeok Won ,&nbsp;Bohyung Choi ,&nbsp;Ha-Eun Cho ,&nbsp;Kyung-Hoon Shin","doi":"10.1016/j.marpolbul.2026.119311","DOIUrl":"10.1016/j.marpolbul.2026.119311","url":null,"abstract":"<div><div>A comprehensive understanding of energy pathways sustaining zooplankton that support abundant fishery resources of the Yellow Sea is essential for elucidating ecosystem functioning and informing management strategies. However, knowledge of the trophic dynamics of major zooplankton species in the Yellow Sea remains limited. To investigate the energy sources and trophic positions (TPs) of the copepod <em>Calanus sinicus</em> and the krill <em>Euphausia pacifica</em>, two dominant species in the central-eastern Yellow Sea, we analyzed stable carbon and nitrogen isotope ratios in bulk tissue as well as compound-specific nitrogen isotope analysis of amino acids (CSIA-AA). Samples were collected in August 2020, May and November 2021, and March 2022 to assess seasonal variability. Bulk stable isotope analysis revealed that the TPs of the two species were generally similar, with no apparent differences observed across sampling periods, although some differences in energy sources were observed during spring and at coastal stations. In contrast, the TPs estimated from a CSIA-AA revealed relatively lower values for <em>E. pacifica</em>. Both species exhibited relatively low TPs in spring (∼2), increasing to nearly 3 in winter. Furthermore, the proportion of energy transferred through the microbial food web was lower in <em>E. pacifica</em> than in <em>C. sinicus</em>. In addition, a markedly depleted nitrogen isotopic composition in primary producers was observed during the winter when nitrate concentrations were sufficiently high. These findings demonstrate that CSIA-AA is a powerful tool for detecting subtle seasonal and interspecific differences in the trophic dynamics of zooplankton—key intermediaries linking lower trophic levels to fishery resources.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"226 ","pages":"Article 119311"},"PeriodicalIF":4.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146043299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to \"Predicting blue carbon sequestration in Sundarban coastal mangroves: A spatially explicit approach with INVEST and machine learning to advance climate resilience and UN SDG-aligned nature-based climate solutions\" [Mar. Pollut. Bull. 226 (2026) 119387].","authors":"Ismail Mondal, Sk Ariful Hossain, Muhammad Tauhidur Rahman, Wafeek Mohamed Ibrahim, Mukhiddin Juliev","doi":"10.1016/j.marpolbul.2026.119490","DOIUrl":"10.1016/j.marpolbul.2026.119490","url":null,"abstract":"","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":" ","pages":"119490"},"PeriodicalIF":4.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147355691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrated mangrove aquaculture systems enhance macrobenthic productivity: A case study in Zhanjiang, China.","authors":"Haiping Huang, Yuanmin Sun, Kunxian Tang, Linjun Sun, Ruofei Zhang, Heyang Li, Yong Ma","doi":"10.1016/j.marpolbul.2026.119404","DOIUrl":"10.1016/j.marpolbul.2026.119404","url":null,"abstract":"<p><p>Mangrove ecosystems provide critical services, including habitat support for fisheries. However, the expansion of aquaculture has led to widespread mangrove degradation, creating a major challenge for coastal ecosystem management. Integrated mangrove aquaculture (IMA) systems have been proposed as a sustainable approach to conserve mangrove while maintaining livelihoods, but their effects on macrobenthic communities in aquaculture ponds remain poorly understood. To address this knowledge gap, macrobenthic communities were surveyed in nine mangrove-based aquaculture ponds (5-25% mangrove cover) and nine non-mangrove ponds in Zhanjiang, China. Their community structure, secondary production, and relationships with environmental variables were analyzed. Results showed that mangrove-based aquaculture ponds had significantly higher macrobenthic density, biomass, and secondary production than non-mangrove ponds, driven by elevated Arthropod and Annelid contributions. Correlation analysis identified total organic carbon, total nitrogen, total phosphorus, and redox potential in sediment as key factors influencing macrobenthic abundance. These findings demonstrate that IMA systems enhance aquaculture ecosystem productivity through organic matter enrichment in sediments, offering a blueprint for the sustainable restoration of aquaculture-degraded coastal mangrove ecosystems.</p>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"226 ","pages":"119404"},"PeriodicalIF":4.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146197841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficacy, microbial disruption, and algal toxicity of commercial antifouling coatings: A multi-level assessment","authors":"Emilie Adouane ,&nbsp;Lena Granhag ,&nbsp;Camille Ferré ,&nbsp;Raphaël Lami ,&nbsp;Carole Veckerlé ,&nbsp;Renaud Vuillemin ,&nbsp;Erik Ytreberg","doi":"10.1016/j.marpolbul.2026.119303","DOIUrl":"10.1016/j.marpolbul.2026.119303","url":null,"abstract":"<div><div>To mitigate marine biofouling, copper- and zinc-based antifouling (AF) paints are widely used, although their severe environmental toxicity is well established. Silicone-based fouling-release coatings (FRCs) have emerged as alternatives that prevent adhesion through surface properties rather than biocidal activity. However, their effectiveness and ecological impact across marine environments remain insufficiently assessed. This study compared the performance and environmental effects of five commercial coatings: two biocidal, two FRCs, and one inert coating. Panels were statically exposed for seven months at five European sites spanning salinity and temperature gradients. Fouling development was monitored monthly, and coating leachates were tested on red macroalgae and bacteria. Ecotoxicological assays included growth inhibition of <em>Ceramium tenuicorne</em>, <em>Aliivibrio fischeri</em> bioluminescence, <em>Escherichia coli</em> stress biosensors, quorum-sensing (QS) assays, and biofilm formation of marine bacteria.</div><div>Field experiments showed that FRCs consistently outperformed copper-based coatings in efficacy toward biofouling, even under static conditions. Copper-based leachates were highly toxic to <em>C. tenuicorne</em> (EC₅₀ ≈ 0.46%), whereas FRC leachates showed minimal effects and were about 100 times less toxic. Microbial assays revealed that all coatings—including the biocide-free formulations—altered microbial physiology and behavior: leachates induced protein-damage responses, and both QS signaling and biofilm formation were species-specific, confirming that biocide-free does not mean biologically neutral. These results demonstrate that antifouling leachates act not only as toxicants but also as chemical cues shaping microbial communication and early colonization. Integrating microbial-level responses into antifouling evaluations is therefore essential. Overall, FRCs remain the most environmentally acceptable option, combining strong antifouling performance with minimal toxicity.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"226 ","pages":"Article 119303"},"PeriodicalIF":4.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146048446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Isolation and whole-genome sequencing of antibiotic-resistant bacteria revealed the reservoir for indigenous antibiotic resistance genes in the deepest ocean sediment of the Challenger Deep","authors":"Wenmian Ding ,&nbsp;Yuepeng Wang ,&nbsp;Yuewei Ma ,&nbsp;Ping Chen ,&nbsp;Ji Yang ,&nbsp;Zhiping Song ,&nbsp;Yuguo Wang ,&nbsp;Wenju Zhang ,&nbsp;Xuan Li ,&nbsp;Yanyan Huang ,&nbsp;Peng Nan","doi":"10.1016/j.marpolbul.2025.119206","DOIUrl":"10.1016/j.marpolbul.2025.119206","url":null,"abstract":"<div><div>Understanding the occurrence of antibiotic-resistant bacteria (ARB) and associated antibiotic resistance genes (ARGs) in remote marine environments is crucial for accessing treats of ARG pollution on a border ecological scale. While most studies focused on anthropogenically disturbed settings, the Challenger Deep, as the deepest ocean habitat, offers a unique opportunity to investigate minimally disturbed resistomes. We revived 123 bacterial isolates from the Challenger Deep sediment, assessed their antibiotic susceptibility, and identified their taxonomy via 16S rRNA gene sequencing. Among them, 96 strains (78.0%) were resistant to at least one antibiotic, with high prevalence observed in <em>Halomonas</em>, <em>Idiomarina</em>, <em>Flagellimonas</em>, and <em>Microbacterium</em>. Resistance was most common to ampicillin (73.2%), followed by sulfadiazine (30.1%) and nalidixic acid (4.9%). Untargeted metabolomics identified 359 metabolites in the sediment sample, including 6-aminopenicillanic acid, suggesting local microbial antibiotic production and selective pressure of resistance. Anthropogenic contaminants like nalidixic acid were also detected. Whole-genome sequencing of eight representative ARB strains revealed 77 copies of 26 ARG subtypes, predominantly associated with multidrug resistance and efflux pump mechanisms. Notably, no mobile genetic elements were linked to ARGs, indicating limited horizontal gene transfer. Phylogenetic analyses showed host species specificity of ARGs, independent of geography or environmental context, supporting vertical inheritance from ancestral lineages. This study offers the first culture-based evidence of ARB and ARGs in the Challenger Deep, suggesting that resistance may represent an adaptive trait to extreme conditions and underscoring its ancient, intrinsic origin. Our findings provide critical implications for understanding the revolution and dissemination of resistance in deep-sea environments.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"226 ","pages":"Article 119206"},"PeriodicalIF":4.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Microplastics in mangrove sediments in environmental protection areas of the south coast of Pernambuco, Brazil","authors":"Jayne Crisleny Pereira da Silva Santos ,&nbsp;José Francielson Queiroz Pereira ,&nbsp;Silvia Helena Lima Schwamborn ,&nbsp;Lília Pereira de Souza Santos","doi":"10.1016/j.marpolbul.2025.119167","DOIUrl":"10.1016/j.marpolbul.2025.119167","url":null,"abstract":"<div><div>This study evaluated the microplastic (MP) contamination and its ecological risks in sediments from two estuarine complexes under different anthropogenic pressures (Formoso River and Ilhetas-Mamucabas), both located within Marine Protected Areas (MPAs) on the southern coast of Pernambuco, Northeast Brazil. Samples were analyzed for type, size, and polymer composition via FTIR spectroscopy. The Formoso River estuary presented the highest abundances (up to 800 items.kg⁻¹), associated with low sanitation coverage (40.2%). Distinct pollution signatures were identified, with predominance of fibres (100–200 μm) in areas influenced by fishing and sewage (R1), and of fragments in regions influenced by agricultural waste (R2). The risk assessment revealed a notable divergence: despite the low Pollution Load Index (PLI), the Polymer Risk Index (H) was classified as “Very High Risk” at sites with PVC and PU presence, indicating that abundance can obscure the real chemical hazard. By contrast, the Ilhetas-Mamucabas complex exhibited less contamination and a predominance of larger MPs (&gt;200 μm). MP accumulation was positively correlated with sediment mud content. The findings demonstrate the vulnerability of MPAs and highlight that assessing chemical risk, beyond abundance, is crucial for effective environmental management of plastic pollution.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"226 ","pages":"Article 119167"},"PeriodicalIF":4.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146048447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cross-sensor spectral fusion for coastal water physicochemical assessment using optimized ensemble machine learning approaches","authors":"Farbod Farhangi ,&nbsp;Ali Asghar Alesheikh ,&nbsp;Abolghasem Sadeghi-Niaraki ,&nbsp;Seyed Vahid Razavi-Termeh ,&nbsp;Fatemeh Rezaie","doi":"10.1016/j.marpolbul.2026.119307","DOIUrl":"10.1016/j.marpolbul.2026.119307","url":null,"abstract":"<div><div>Rising coastal pollution has increased use of remote sensing–machine learning monitoring frameworks. However, most studies rely on limited spectral features and conventional models, limiting their ability to capture the complex optical variability of coastal waters. Addressing these gaps, this study enhances random forest (RF) modeling of China's coastal water quality index (WQI) by incorporating teaching-learning-based optimization (TLBO) and student-psychology-based optimization (SPBO) using various spectral features. WQI was calculated using chemical oxygen demand, dissolved inorganic nitrogen, dissolved inorganic phosphorus, dissolved oxygen, total petroleum hydrocarbons, and potential hydrogen, while Landsat 8 and Sentinel 2 data served as inputs. Over 44% of WQI observations were rated poor, very poor, or severely polluted, highlighting severe pollution in Shanghai, the Yangtze River, Guangzhou, Hong Kong, and the Pearl River. While spectral indices correlated more with WQI than individual bands, the model was more sensitive to a satellite's full feature set than to a single spectral type, indicating that multisource satellite information is crucial for improving accuracy. RF-TLBO slightly outperformed RF-SPBO, achieving lower errors (mean absolute error: 0.141 vs. 0.143; mean squared error: 0.034 vs. 0.035), higher Willmott index (0.786 vs. 0.785) and coefficient of determination (0.462 vs. 0.459), while both models showed close to zero mean bias error. It also demonstrated lower uncertainty, with a 95% prediction interval coverage probability of 0.950 and a prediction interval width of 0.193. The proposed framework enhances coastal water quality monitoring and high-risk area detection. Future research could apply multi-target regression to better capture interdependencies among water quality parameters.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"226 ","pages":"Article 119307"},"PeriodicalIF":4.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146043300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A risk-based modelling approach to predict human error-induced oil pollution accident in bunker transferring operation","authors":"Emre Akyuz ,&nbsp;Selcuk Cebi ,&nbsp;Sukru Ilke Sezer","doi":"10.1016/j.marpolbul.2026.119316","DOIUrl":"10.1016/j.marpolbul.2026.119316","url":null,"abstract":"<div><div>Risk of oil pollution during bunker transfer operation remains a significant threat to marine ecosystems and safety as human error being a major contributing factor. This article proposes probabilistic risk modelling framework integrating Dempster–Shafer evidence theory (D-S), Cognitive Reliability and Error Analysis Method (CREAM) and Fault Tree Analysis (FTA) to quantify human error-induced bunker pollution accident in maritime transport. Since DS-CREAM approach is applied to capture epistemic uncertainty and quantification of human error probability incorporating evidence-based reasoning and context-dependent performance shaping factors (PSFs), FT performs probabilistic risk modelling for oil pollution accident. The findings show that occurrence probability of TE (Oil pollution accident risk on-board bunker transfer operation) is found 1.566E-01. Beside its robust theoretical background, the findings of the research will contribute safety and marine environment researchers, professionals, ship crew and superintendents for minimising oil pollution risk and enhancing operational safety during ship to ship bunker transfer operation. The proposed modelling will also provide a robust decision-support tool for risk management and oil pollution prevention in maritime bunker transfer operations.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"226 ","pages":"Article 119316"},"PeriodicalIF":4.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146081074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Microplastic and biogeochemical releases from plastic, metal, cement, and fiber coastal restoration materials","authors":"Lisa G. Chambers ,&nbsp;Sara Gay ,&nbsp;Naija Cheek ,&nbsp;Cadie Barnes ,&nbsp;Megan Jensik ,&nbsp;Melinda Donnelly ,&nbsp;Paul E. Sacks ,&nbsp;Melanie Beazley ,&nbsp;Linda J. Walters","doi":"10.1016/j.marpolbul.2026.119329","DOIUrl":"10.1016/j.marpolbul.2026.119329","url":null,"abstract":"<div><div>Coastal areas often include ecologically sensitive habitats and dense human populations, which can contribute to ecosystem degradation and the need for coastal restoration. Typically, coastal restoration requires the placement of a foreign material to serve as a base substrate or shoreline stabilizer, but the potential for these materials to contribute to plastic pollution or impact biogeochemical cycles is not well understood. This research investigated common coastal restoration materials to address two key knowledge gaps, 1) can plastic restoration materials be a source of microplastics?, and 2) can alternative restoration materials release nutrients, metals, or alter microbial respiration? Two polyethylene plastics and five non-plastic alternative materials were studied in experimental laboratory microcosms, including a one-year incubation to quantify microplastic release, a 5-week nutrient and metal release study of fresh and post field-deployed materials, and a one-week respiration (CO₂ production) incubation with site sediment and water. Laboratory results indicated the two plastics studied released microplastics at a rate of 395 ± 100 and 158 ± 56 g⁻¹ y⁻¹, for Naltex® and Vexar®, respectively. Jute, made of plant fiber, released 4.7 and 37 times more dissolved inorganic nitrogen and soluble reactive phosphorus, respectively, than the control. The biopolymer, BESE-elements®, released 60 and 32 times more dissolved organic carbon and CO₂-C, respectively, than the control. Fresh galvanized metal gabion wire released iron, manganese, lead, and 28 times more zinc than the control, while cement materials showed minimal effects. Restoration practitioners, resource managers, and permitting organizations should consider microplastic and biogeochemical impacts when choosing materials.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"226 ","pages":"Article 119329"},"PeriodicalIF":4.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146081211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pollution characteristics, source apportionment, and ecological risks of phthalic acid esters (PAEs) in seawater and sediments of the Bohai Sea and Northern Yellow Sea, China","authors":"Bin Han ,&nbsp;Li Zheng ,&nbsp;Yinghui Liu","doi":"10.1016/j.marpolbul.2026.119331","DOIUrl":"10.1016/j.marpolbul.2026.119331","url":null,"abstract":"<div><div>Phthalic Acid Esters (PAEs) are ubiquitous persistent organic pollutants posing significant risks to marine ecosystems and human health. This study investigated PAE pollution in seawater and sediments from 23 stations in the Bohai Sea and northern Yellow Sea China in May 2023. Total PAE concentrations ranged from 314.06 to 713.61 ng/L in seawater and from 1423.74 to 3052.93 ng/g dry weight (dw) in sediments, with Diisobutyl Phthalate (DiBP), Dibutyl Phthalate (DBP), and Bis(2-ethylhexyl) Phthalate (DEHP) as dominant components. Principal Component Analysis (PCA) identified three primary sources: industrial plastic input, domestic-fishery activities, and shipping-oil and gas development, with land-based input as the core driver. Ecological risk assessment using Risk Quotient (RQ) revealed DiBP as the high-risk monomer (RQ &gt; 10 in coastal sediments), DBP and DEHP as medium-risk, and Dimethyl Phthalate (DMP)/Diethyl Phthalate (DEP) as low-risk. High-risk areas were concentrated in estuaries, Laizhou Bay, and coastal industrial belts. This study provides regional baseline data and fundamental insights for PAE pollution management and marine ecological protection in semi-enclosed seas.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"226 ","pages":"Article 119331"},"PeriodicalIF":4.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146043304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}