Regional Studies in Marine Science最新文献

{"title":"Major, trace, and rare earth element geochemistry of the Kuakata beach sand, Bangladesh: Implications for provenance, weathering, tectonic setting and heavy metal contamination","authors":"Dhiman Kumer Roy ,&nbsp;Rahat Khan ,&nbsp;Zitu Kundu ,&nbsp;Tahsin Islam Ornee ,&nbsp;Md Mahmudul Hasan Rakib ,&nbsp;Mehedi Hasan Ovi ,&nbsp;Dipraj Roy ,&nbsp;Arafat Islam Pranto ,&nbsp;Devlina Saha Aishe ,&nbsp;Md. Abdullah ,&nbsp;Niloy Nandi ,&nbsp;Fairuj Islam ,&nbsp;Md. Harunor Rashid Khan ,&nbsp;Saad Aldawood ,&nbsp;Abubakr M. Idris ,&nbsp;Arabe Khan ,&nbsp;Ayon Saha ,&nbsp;Md. Shah Alam","doi":"10.1016/j.rsma.2025.104338","DOIUrl":"10.1016/j.rsma.2025.104338","url":null,"abstract":"<div><div>The geochemical composition of the sediment preserves the records of provenance, weathering, geological processes and depositional environment. Twenty sediment samples from the Kuakata Beach Sand (KBS), Bangladesh have been analyzed to assess the mass fraction of major, trace, and rare earth elements (REE). These samples are compared with Cox's Bazar beach sand (CBBS) data and Bay of Bengal Shoreline sediments (BBSS) data<strong>,</strong> to determine the relative enrichments or depletions. The V, Cr, Zr, Ce, and are showing enrichment in the KBS in contrast, Na, Mg, Al, K, and Ca, are showing depletion trends with respect to UCC, indicating the gradual loss of feldspars. The resistant heavy minerals e.g., zircon, monazite, and apatite are principally responsible for controlling the heavy mineral distribution (Lin et al., 2021). The LREE shows an average (mg/kg) of La (36.45), Ce (77.86), Nd (39.99), Sm (6.07), and Eu (1.25) and the HREE shows Tb (0.87), Dy (5.99), Yb (2.84), and Lu (0.46). The correlation diagrams for major elements with Al₂O₃ reveal varying correlation, where for specific elements, some samples show positive correlation while others show no to negative correlation. The studied sediments are found to be enriched in SiO₂ which can also be termed as quartz-rich sediments. CIA value ranges from 57.96 to 62.25 with an average of 60.28. The geochemical analysis of the sediments reveals the loss of Potassium, Sodium and Aluminum. Immobile trace element ratios such as - Th/Sc, and REEs (∑LREE/HREE) parameters, and the discriminant function diagrams, show that the Kuakata beach sediments have primarily been derived from felsic source rocks. Therefore, most of the samples are derived from felsic source rock and have gone through weak weathering during the journey from source to sink. Most of the samples of Kuakata beach sand are tectonically derived from the continental island arc, the passive margin and the active continental margin. The plotted samples do not exhibit widespread variation due to the excessive loss of labile elements during the weathering phase. The level of heavy metal contamination has been attempted to be determined through the use of geochemical pollution indices, specifically the Pollution Load Index (PLI) and Geo-accumulation Index (I_geo). The average PLI value is approximately 0.77, and the I_geo values primarily exhibit magnitudes below 1, which are indicative of a relatively low or negligible level of contamination. The research findings can enhance the formulation of policies aimed at the sustainable usage and conservation of littoral sedimentary resources.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"89 ","pages":"Article 104338"},"PeriodicalIF":2.1,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144679331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Stratigraphic sequences off NE Hainan Island: Controls on sand resource distribution in the South China Sea","authors":"Guowei Fu ,&nbsp;Wanli Chen ,&nbsp;Shiguo Wu ,&nbsp;Siyu Wang ,&nbsp;Junjin Chen ,&nbsp;Fanchang Zeng ,&nbsp;Yue Sun ,&nbsp;Xuelin Li","doi":"10.1016/j.rsma.2025.104327","DOIUrl":"10.1016/j.rsma.2025.104327","url":null,"abstract":"<div><div>Sand ridges represent key components of Quaternary transgressive successions. Understanding their sediment routing history is critical for developing predictive models of marine sand resource distribution under rising sea-level scenarios. In the NE Hainan offshore area, while modern sand ridges dominate the seafloor, their sediment provenance and evolutionary trajectory remain poorly constrained, impeding systematic resource exploration. To address this knowledge gap, we integrate high-resolution single-channel seismic profiling with sequence stratigraphic analysis to reconstruct the depositional architecture and sediment routing pathways in this region. Six reflection boundaries and five seismic sequences (SU1-SU5) were distinguished by the abrupt changes in reflection termination patterns, continuity, amplitude variations, and stratal geometry. The stratigraphic record reveals a systematic migration from progradational deltaic facies to transgressive tidal ridges, reflecting a regressive-to-transgressive succession. This evolution is characterized by a complete regressive-transgressive cycle, initiating with forced regression (SU5–SU4) driven by high sediment influx, followed by transgression (SU3–SU1) marked by tidal reworking of antecedent deltaic sands. Such stratigraphic architecture directly controls the distribution of high-quality sandy facies: delta-front sands and tidal-ridge complexes, serving as primary targets for resource exploration. Sequence stratigraphy is shaped by sea-level changes, sediment supply, and hydrodynamics, where SU4 represents the sediment-rich phase while SU2 marks the main sand-ridge construction period. These findings establish a predictive model for marine sand resource exploration by integrating stratigraphic architecture analysis with paleoenvironmental reconstructions to reduce assessment uncertainties.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"89 ","pages":"Article 104327"},"PeriodicalIF":2.1,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144581129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Role of antibiotic residues in development of antibiotic resistance in coastal bacterial communities","authors":"Maheshawari Behere ,&nbsp;Pooja Thathola ,&nbsp;Tarini Prasad Sahoo ,&nbsp;Ishan Raval ,&nbsp;Soumya Haldar","doi":"10.1016/j.rsma.2025.104340","DOIUrl":"10.1016/j.rsma.2025.104340","url":null,"abstract":"<div><div>Antibiotics are becoming pollutants in water bodies due to inadequate wastewater treatment, inappropriate dumping, and runoff from agriculture and other pathways. The growth of bacteria resistant to antibiotics are promoted through contamination, endangering both human health and marine aquatic life. Antibiotic resistance in water sources has emerged as a significant environmental and public health concern. Antibiotic-resistant bacteria use the aquatic environment as a reservoir, which contributes significantly to the spread of antibiotic resistance due to its ability to collect, amplify, and disseminate resistant bacteria. The Gulf of Khambhat, located in the western part of India, a vital marine ecosystem, faces increasing antibiotic contamination from industrial discharges, agricultural runoff, and aquaculture effluents. This study aims to examine the presence of antibiotic residues and their impact on bacterial resistance in marine waters. Using LC-MS, six antibiotics (Ampicillin, Cefadroxil, Ceftazidime, Nitrofurantoin, Norfloxacin, and Penicillin G) were detected across multiple sites. Bacterial resistance profiling, conducted via the disc diffusion method and the ABCD kit, revealed widespread multidrug resistance, even in areas with undetectable residues, suggesting horizontal gene transfer and co-selection with pollutants. Statistical analysis linked antibiotic resistance with elevated biological oxygen demand (BOD), nitrate levels, and total dissolved solids (TDS), indicating pollution-driven selection pressures. Given the Gulf’s ecological and economic significance, these findings highlight the urgent need for stricter wastewater management and pollution control to curb the spread of antibiotic-resistant bacteria in marine environments.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"89 ","pages":"Article 104340"},"PeriodicalIF":2.1,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144604662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Identification of risk factors and pathways of mangrove carbon sink projects: From perspective of supply","authors":"Yixiong He ,&nbsp;Yanwei Wang ,&nbsp;Sumei Xie","doi":"10.1016/j.rsma.2025.104345","DOIUrl":"10.1016/j.rsma.2025.104345","url":null,"abstract":"<div><div>Mangrove carbon sink is a strategic way to solve the problem of climate change, and developing it into a project is an important carrier to realize its value, but the risks in the project development process will affect the utilization of mangrove carbon sinks. From the perspective of the supply entities, this article divided the entire life cycle of mangrove carbon sink projects into five stages: decision stage, design stage, construction stage, verification and filing stage, and operation and maintenance stage. With the goal of achieving project success, structural equation model was hereby established, and the impact paths and coefficients of 61 risk factors in the entire life cycle of mangrove carbon sink projects were obtained, and the key risk factors and their stages were clarified accordingly. The research results indicate that: (1) different life cycle stages exhibit different risk impact paths and coefficients, with the design stage and the operation and maintenance stage bearing the greatest impact of risk in the project; (2) for mangrove carbon sink projects, policy risks, technical risks, and market risks are the three major types of risks that require special attention; (3) about 1/4 of all risk factors belong to the category of first level risk. These research results can provide a theoretical basis for the effective implementation of risk management plans for mangrove carbon sink projects, so as to ensure greater project effectiveness, promote the development of mangrove carbon sink projects, and ultimately contribute to the realization of the goal of carbon neutrality.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"89 ","pages":"Article 104345"},"PeriodicalIF":2.1,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144604769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Applying artificial intelligence to predict the fishing performance of stow net constructed with noctilucent sticks","authors":"Wei Liu ,&nbsp;Minghua Min ,&nbsp;Zhongqiu Wang ,&nbsp;Lei Wang ,&nbsp;Yongli Liu ,&nbsp;Guangrui Qi ,&nbsp;Xun Zhang ,&nbsp;Lumin Wang","doi":"10.1016/j.rsma.2025.104333","DOIUrl":"10.1016/j.rsma.2025.104333","url":null,"abstract":"<div><div>The application of artificial light to attract marine organisms was demonstrated to enhance fishing gear efficiency. This study presented a novel stow net design incorporating noctilucent sticks to optimize catch performance. Specifically, the research examined the impact of different colores of noctilucent sticks on the efficiency of catch in stow nets. The results revealed the use of noctilucent sticks could significantly increase the catch weight of stow nets (p &lt; 0.01). Notably, the color of the noctilucent sticks influenced their effectiveness, with olive green sticks increasing catch weight by 40.65 %, followed by azure sticks (12.57 %) and bluish green sticks (8.88 %). The predominant species caught was the small yellow croaker, whose catch proportion rose from 19.18 % to 22.80 % due to the noctilucent sticks. In addition, a comprehensive analysis was conducted using the generalized additive model (GAM) to assess the impact of noctilucent sticks, lunar phases, and tidal cycles on stow net catch weights, complemented by a backpropagation (BP) neural network for predictive modeling of catch weights. It was confirmed that lunar phase, tidal cycle, and noctilucent stick presence significantly affected stow net catches. While the BP neural network predictions closely matched the measured data, with the accuracy exceeding 89.63 % and 91.72 %. This study provided theoretical guidance for stow net fishing practices in the Yellow Sea.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"89 ","pages":"Article 104333"},"PeriodicalIF":2.1,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144587868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Control factors and contamination assessment of organic matter in Korean coastal sediments","authors":"Junsik Woo ,&nbsp;Teaha Kim ,&nbsp;Hyojin Lee ,&nbsp;Mansik Choi","doi":"10.1016/j.rsma.2025.104343","DOIUrl":"10.1016/j.rsma.2025.104343","url":null,"abstract":"<div><div>Using data from the Korea National Marine Ecosystem Monitoring Program (2017–2022), this study investigates the spatiotemporal distribution of organic matter across five ecoregions designated by the Marine Environment Management Act. Three analytical approaches were applied to identify key factors influencing organic matter distribution: (1) correlation with sediment particle surface area and clay content, (2) characterization of organic matter sources, and (3) evaluation of sedimentary productivity. Background concentrations were established for each ecoregion, reflecting their unique sedimentary characteristics. Based on these baselines, contamination trends were found to be decreasing in the Central West Sea and Western South Sea, while increasing in the East Sea, Korea Strait, and Jeju Sea. Despite certain methodological limitations in defining background concentrations and contamination thresholds, this study provides valuable insights into the drivers of organic matter contamination and offers essential baseline data for future environmental assessments and coastal management strategies.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"89 ","pages":"Article 104343"},"PeriodicalIF":2.1,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144653737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Thresholds of visible light detection in hawksbill turtle (Eretmochelys imbricata) hatchlings","authors":"Robert T. Gammariello ,&nbsp;Stephen G. Dunbar","doi":"10.1016/j.rsma.2025.104337","DOIUrl":"10.1016/j.rsma.2025.104337","url":null,"abstract":"<div><div>Light is the primary environmental cue that hatchling sea turtles use to find the ocean post-emergence from the nest. The process of seafinding is interrupted by any form of light stronger than natural, ambient light. Three of the seven species of sea turtles have been investigated to determine their thresholds of detection for various wavelengths of light across the visible spectrum to help reduce hatchling misorientation. Hawksbill turtles, however, have not yet been investigated, and their general preference for nesting under vegetation, rather than on open sand, justifies the hypothesis that their vision may be more sensitive to lower light intensities than other species. Using a Y-maze choice experiment, we discerned the detection threshold for hawksbill hatchlings for visible light of 415, 470, 535, 555, 590, 601, and 660 nm. Hawksbills were most sensitive to light of 555 nm, least sensitive to light of 660 nm, and exhibited detection thresholds that are intermediate compared to previously studied species of sea turtles. Our results may be critical for informing changes in beachfront lighting, as we illustrate that even at very low intensities, light across the visible spectrum may still attract and misorient hawksbill hatchlings.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"89 ","pages":"Article 104337"},"PeriodicalIF":2.1,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144604661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Water-sediment regulation drives multi-taxon biodiversity and ecological network dynamics in the Yellow River Estuary","authors":"Cheng-Rui Yan ,&nbsp;Li-Sha Hu ,&nbsp;Xiao-Min Zhang ,&nbsp;Shao-Wen Li ,&nbsp;Fan Li ,&nbsp;Yun-Wei Dong","doi":"10.1016/j.rsma.2025.104336","DOIUrl":"10.1016/j.rsma.2025.104336","url":null,"abstract":"<div><div>The Yellow River's high sediment load requires the Water-Sediment Regulation Scheme (WSRS) to manage sediment and water flow, leading to significant environmental changes and changes in biodiversity in the Yellow River Estuary (YRE). The present study used an environmental DNA approach to assess changes in biodiversity and community structure of invertebrates and fish in the YRE during WSRS. A total of 301 invertebrate species were identified using COI, and invertebrate communities remained stable from July to August 2022. Fish diversity declined significantly, with 14 detected species. Community stability analysis based COI revealed increased average degree and strong connections in invertebrates but reduced modularity in August, while the co-occurrence networks shifted from multiple modules (July) to a single dominant structure (August). Dominant species <em>S. crassa</em> abundance significantly declined from 24 % in July to 7 % in August (<em>p</em> &lt; 0.05), but functioned as a bridging species in the invertebrate taxa. Redundancy analysis revealed significant shifts in invertebrate taxa between July and August (<em>p</em> = 0.001), driven by temperature, pH, dissolved oxygen, nitrate nitrogen, and ammonia nitrogen. Fish species were mainly influenced by suspended solids and phosphate. The results show that environmental factors have varying effects on different biological taxa in YRE. This study helps to better understand the impact of water-sediment regulation on the ecological structure and provides new insights for future ecological management in the YRE.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"89 ","pages":"Article 104336"},"PeriodicalIF":2.1,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144581128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Variability of mesoscale eddies and their kinetic energy in the Bay of Bengal using a high-resolution ocean model","authors":"Navin Chandra ,&nbsp;Vimlesh Pant","doi":"10.1016/j.rsma.2025.104329","DOIUrl":"10.1016/j.rsma.2025.104329","url":null,"abstract":"<div><div>Oceanic eddies significantly contribute to the mixing of tracers such as temperature, salinity, and nutrients. Eddies are crucial to energy transfer and ocean circulation. The Bay of Bengal (BoB) is a naturally suitable location for intense eddy activity because of its distinct geographical and meteorological characteristics. Using a high-resolution regional ocean model, the mesoscale eddies in the BoB were detected, and their variability was examined in the current study. The model results show good agreement with the available observations. Both geometrical and dynamical approaches are used to identify and track the eddies, which aids in the removal of the frontal jets. The seasonal distribution of eddies, their spatial features, and propagation pathways are investigated. Following the identification and separation of the cyclonic eddy (CE) from the anticyclonic eddy (AE), the kinetic energy of each individual eddy is computed. In the western BoB, the variability of the East India Coastal Current (EICC) dictates eddy generation. The river discharge and bathymetry play a crucial role in determining eddy formation and its features in the northern BoB. Throughout the year, the radius of AEs is greater than that of CEs, reaching its maximum during the pre-monsoon (MAM) season. Compared to CEs, there is a stronger correlation between the size and energy of AEs. Eddie's share of the BoB's overall kinetic energy fluctuates from 7.2 % in March to 19.1 % in November. The seasonal contribution of eddies to the eddy kinetic energy (EKE) of the BoB is discussed, along with the varying strength and direction of winds and surface currents.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"89 ","pages":"Article 104329"},"PeriodicalIF":2.1,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144596023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Acute and chronic sources of polycyclic aromatic hydrocarbons (PAHs) in coastal sediments impacted by the 2019–2020 oil spill in NE Brazil","authors":"Tamires Matos-Barbosa ,&nbsp;Rafael André Lourenço ,&nbsp;Joao Bosco Gusmao ,&nbsp;Arlene Bispo dos Santos Nossol ,&nbsp;Tatiane Combi","doi":"10.1016/j.rsma.2025.104330","DOIUrl":"10.1016/j.rsma.2025.104330","url":null,"abstract":"<div><div>The 2019–2020 oil spill off the Brazilian coast represents one of the largest environmental disasters in the South Atlantic, impacting diverse ecosystems and vulnerable communities. This study investigates the occurrence, levels, composition, and potential ecological risks of polycyclic aromatic hydrocarbons (PAHs) in surface sediments of mangroves affected by the spill along the coast of Bahia, NE Brazil. Fifty-one samples were collected across seven sites, including oil-impacted areas, a control site, and a chronically contaminated area, during three campaigns conducted 12, 18, and 24 months after the spill. Total PAH concentrations (∑16 PAHs) ranged from 39.1 to 595.4 ng g⁻¹ and fell within low to moderate contamination levels. Despite a general decreasing trend over time, spatial and temporal patterns were inconsistent, and PAH distributions appeared to be influenced by both the oil spill and local anthropogenic inputs. Higher alkyl-PAHs/parent-PAHs ratios in Siribinha and Boipeba suggest a long-term influence of petrogenic sources linked to the oil spill, while elevated PAHs in the São Paulo River reflect chronic industrial and urban pollution. Diagnostic ratios and compositional profiles confirmed mixed pyrogenic and petrogenic signatures across sites. Although mean sediment quality guideline quotients indicated low ecotoxicological risk overall, exceedances of threshold values for acenaphthylene and phenanthrene at some sites, particularly those inhabited by traditional communities, highlight the importance of continued monitoring. This study provides the first spatially and temporally resolved assessment of PAH contamination in mangrove sediments following the 2019–2020 oil spill, contributing to a broader understanding of both acute and chronic hydrocarbon impacts in tropical coastal ecosystems.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"89 ","pages":"Article 104330"},"PeriodicalIF":2.1,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144580786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}