Linlin Yang , Min Xu , Zunlei Liu , Yi Zhang , Yan Cui , Shengfa Li
{"title":"Seasonal and spatial distribution of AmphiOctopus fangsiao and Octopus variabilis in the southern Yellow and East China Seas: Fisheries management implications based on climate scenario predictions","authors":"Linlin Yang , Min Xu , Zunlei Liu , Yi Zhang , Yan Cui , Shengfa Li","doi":"10.1016/j.rsma.2025.104072","DOIUrl":"10.1016/j.rsma.2025.104072","url":null,"abstract":"<div><div><em>AmphiOctopus fangsiao</em> and <em>Octopus variabilis</em> are economically important species that dominate the northwest Pacific cephalopod communities. However, little is known about their seasonal and spatial distributions in the southern Yellow Sea and East China Sea. This study aimed to identify the seasonal and spatial distributions of <em>A. fangsiao</em> and <em>O. variabilis</em>, explore potential relationships with environmental variables, and predict annual mean habitat variations under different climate scenarios. Our findings revealed that <em>A. fangsiao</em> was concentrated in the southern Yellow Sea in spring, in the Zhoushan fishing ground near the Yangtze River Estuary in summer, expanded to the entire East China Sea in autumn, and migrated offshore in winter. In contrast, <em>O. variabilis</em> was concentrated in the Zhoushan fishing grounds in spring, moved eastward in summer, shifted southward to the Yushan fishing grounds in autumn, and moved farther south to the Yushan-Wentai-Mindong fishing grounds in winter. Additionally, we predicted the most suitable sea bottom temperature (SBT) for <em>A. fangsiao</em> to be 10–25°C, with sea bottom salinity (SBS) of 29–31 ‰, whereas for <em>O. variabilis</em>, the most suitable SBT was 27°C, with an SBS of 34–35 ‰. Our results showed that under different climate change scenarios, the annual mean habitat area of <em>A. fangsiao</em> will decrease under SSP1–2.6 by 2050, and increase under SSP1–2.6 by 2100, whereas the area will shrink significantly under the SSP5–5.8 scenario by both 2050 and 2100. Moreover, the annual mean habitat of <em>O. variabilis</em> will shift northward offshore under SSP1–2.6 scenario by 2050 and 2100, as well as under SSP5–8.5 by 2050, but will shrink significantly under SSP5–8.5 by 2100. These results may provide guidance for sustainable fishing and management of both species by specifically incorporating climate change.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"83 ","pages":"Article 104072"},"PeriodicalIF":2.1,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437192","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}
Alejandro Salimbeni , Guadalupe Alonso , Alexander Babanin , Walter Dragani
{"title":"Wind sea and swell discrimination in the outer Rio De La Plata Estuary, South Atlantic Ocean","authors":"Alejandro Salimbeni , Guadalupe Alonso , Alexander Babanin , Walter Dragani","doi":"10.1016/j.rsma.2025.104079","DOIUrl":"10.1016/j.rsma.2025.104079","url":null,"abstract":"<div><div>This study focuses on the comprehensive discrimination and characterization of wind-sea and swell dominating conditions in the outer Río de la Plata estuary (RDP). For that, time series of bulk wave parameters and wave spectra covering the period from 1996 to 2020 were analyzed. Results revealed that 57 % of the spectra exhibit double peaks indicating the prevalence of simultaneous wind-sea and swell events. To differentiate between wind-waves and swell cases, the Pierson–Moskowitz (PM) spectrum peak method was implemented. In this method, the ratio between the peak energy of a wave system and the energy of the PM spectrum with the same peak frequency is computed. If this ratio is greater than one, the wave system is categorized as wind-sea; otherwise, as swell. Later, a support vector network (SVM) classificator was applied to significant height (Hs) and peak period (Tp). Results indicate that a linear expression (Tp = 2.5 Hs + 3.3) optimally separates wind-sea and swell. The typical Hs were 1–2 m for wind-sea and 0.5–1 m for swell, with mean Tp values of 5.2 s and 10.5 s respectively. Wind-sea waves predominantly propagated from the E and S, while swell from the SE. Swell seasonality indicated the highest occurrence during the winter months and minimal occurrences during summer. Finally, the performance of the WAVERYS and IOWAGA products in predicting arrival times of swell at the RDP was evaluated. Both predicted an earlier arrival time for swell in over 70 % of the events. These results highlight the reliability of these global products in anticipating swell arrivals.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"83 ","pages":"Article 104079"},"PeriodicalIF":2.1,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453965","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}
Harisankar Ray , Nilanjan Das , Soumyadip Pal , Subodh Chandra Pal , Sudipto Mandal
{"title":"Predicting the potential habitat suitability of mangrove bioindicator species- Telescopium telescopium (Linnaeus, 1758) through MaxEnt modelling","authors":"Harisankar Ray , Nilanjan Das , Soumyadip Pal , Subodh Chandra Pal , Sudipto Mandal","doi":"10.1016/j.rsma.2025.104073","DOIUrl":"10.1016/j.rsma.2025.104073","url":null,"abstract":"<div><div>Mangrove ecosystems are blessed with molluscs that are a key component as bioindicator species and measure the environment's health. The most prevalent and most sensitive bioindicator species in mangroves worldwide is <em>Telescopium telescopium</em>. Habitat loss is the evitable cause of species extinction, however, the species distribution and loss (here, <em>T. telescopium</em>) due to climate change factors throughout the globe is still not clear. The maximum entropy species distribution model (MaxEnt) was used to investigate the present habitat suitability distribution of <em>T. telescopium</em> population. Based on the results, <em>T. telescopium</em> showed high potential distribution in South-East Asia which is dominated by mangrove regions. The MaxEnt model showed an AUC (area under the curve, \"Sensitivity vs. Specificity\") value of 0.962, indicating its high accuracy. The Jackknife test revealed the temperature as the primary environmental factor influencing <em>T. telescopium</em> distribution in mangrove sediments (Regularised raining Gain=1.43). The distribution of <em>T. telescopium</em> was positively correlated with the distribution of mangroves worldwide (R<sup>2</sup>=62.49 %) using GIS-based regression analysis. A global circulation model was conducted using the temperature data from the Coupled Model Intercomparison Project-6 for the year 2100. The results showed that the population of <em>T. telescopium</em> was expected to decline steadily and shortly with the temperature rise. Here, the research showed that temperature, elevation, and rainfall were also responsible variables that influenced the distribution and loss of <em>T. telescopium</em> globally besides mangrove or habitat loss.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"83 ","pages":"Article 104073"},"PeriodicalIF":2.1,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453966","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}
Jami Butler , Clare Duncan , Paul E. Carnell , Anirban Akhand , Stacey M. Trevathan-Tackett , Peter I. Macreadie
{"title":"Allometric aboveground biomass equations to quantify carbon content of Southeast Australian saltmarsh vegetation","authors":"Jami Butler , Clare Duncan , Paul E. Carnell , Anirban Akhand , Stacey M. Trevathan-Tackett , Peter I. Macreadie","doi":"10.1016/j.rsma.2025.104044","DOIUrl":"10.1016/j.rsma.2025.104044","url":null,"abstract":"<div><div>Global salt marshes are significant carbon reserves, and with the growth in “blue carbon” projects, reliable quantification of its carbon storage is required. While methods for the quantification of carbon content in soils are well established, we often lack models for estimating carbon bound within plant biomass due to the high variability of growth forms among plant species. The present study aimed to develop species-specific allometric equations and carbon conversion factors that will enable the estimation of carbon stocks in above-ground biomass (AGB) of two dominant Australian saltmarsh shrubs. The linear regression models developed used lab-derived biomass and field-derived measurements of canopy diameter and/or shrub height to predict carbon content, allowing us to explain 89.3 % of observed variance in AGB for <em>Tecticornia arbuscula</em> and 61.5 % of observed variance in <em>Suaeda australis</em>. Microelemental analysis of woody tissues revealed a mean carbon content of approximately 46–48 % across both shrub species and all size classes. The species-specific AGB equations and carbon conversion factors presented here provide land managers, scientists and policymakers with non-destructive methods for rapid quantification of vegetative biomass and carbon stocks in Southeast Australian saltmarshes.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"83 ","pages":"Article 104044"},"PeriodicalIF":2.1,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143444651","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}
Zhanyi Lin, Qiuchi Wan, Fan Zhang, Jing Zhong, Zhongle Zhou, Kunshan Bao
{"title":"Using end-member model algorithm to infer sedimentary processes from mangrove sediment grain-size in Guangdong, South China","authors":"Zhanyi Lin, Qiuchi Wan, Fan Zhang, Jing Zhong, Zhongle Zhou, Kunshan Bao","doi":"10.1016/j.rsma.2025.104069","DOIUrl":"10.1016/j.rsma.2025.104069","url":null,"abstract":"<div><div>Mangrove wetlands, situated between terrestrial and marine environments, are highly sensitive to environmental changes. This study investigates the grain-size characteristics of mangrove sediments in four wetlands along Guangdong's coast, South China, to infer deposition processes and environmental changes. Using the Basic End-Member Model Algorithm (BasEMMA), we identified four sediment end-members (EMs): fluvial clay (EM1), tidal current suspending load (EM2), fluvial silt (EM3), and storm surge deposit (EM4) for Guangdong mangrove wetlands, with distinct modal sizes ranging from 1.78 φ to 8.58 φ. Mangrove sediment grain-size is mainly influenced by sediment sources, with tidal inputs (EM2) predominating. EMs compositions display significant differences in estuarine mangroves in different regions of Guangdong, but not in bay mangroves. In addition to sediment sources, anthropogenic disturbances and management practices, including logging, mangrove planting and construction, also affect mangrove sediment grain-size, and planted mangroves exhibit larger particle sizes compared to natural counterparts within the same region. After the introduction of mangroves into estuaries, the wetland sedimentary environment became stable, and the sediments have more significant changes than those in bays. The study demonstrates the utility of EMMA in precisely distinguishing mangrove sediment components, offering insights into sediment source dynamics and environmental changes throughout mangrove ecosystem development.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"83 ","pages":"Article 104069"},"PeriodicalIF":2.1,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437193","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}
Lina L. Fernandes, Pratima M. Kessarkar, Rajni Magotra
{"title":"Comparative study of magnetic properties of sediments from six monsoonal rivers during the wet and dry periods, west coast of India","authors":"Lina L. Fernandes, Pratima M. Kessarkar, Rajni Magotra","doi":"10.1016/j.rsma.2025.104068","DOIUrl":"10.1016/j.rsma.2025.104068","url":null,"abstract":"<div><div>Environmental magnetism, in combination with Scanning electron microscopy (SEM) and X-ray diffraction (XRD), was carried out on the surface sediments of six rivers from the Goa and Karnataka regions (India). The main focus was determining the magnetic properties of sediments from different depositional environments (marine, estuarine and fluvial) and assessing their variation with the provenance. In addition, various factors (catchment rocks, anthropogenic activities, river morphology) that influenced the magnetic signatures were explored. Most rivers showed higher magnetic concentrations in the wet period compared to the dry period. The magnetic concentrations (χ<sub>lf</sub>) in the Goa rivers (Terekhol, Chapora, Sal, Talpona) were 6–10 times higher than that of the Karnataka rivers (Nethravati and Gurupur) and displayed a systematic decrease from the river towards the estuary mouth/sea reflecting hydrodynamic sorting. In the Karnataka rivers, on the other hand, irregular χ<sub>lf</sub> profiles were attributed to factors such as dredging, river geomorphology, abundant quartz minerals and variations in Estuarine Turbidity Maxima’s locations. Based on magnetic parameters and elemental composition obtained from SEM-EDS analysis and confirmed by XRD results, magnetite was identified as the main magnetic mineral in the Goa rivers, while a mix between magnetite and hematite was proposed in the Karnataka rivers. Anthropogenic activities (sand mining) and local geological background contributed to magnetic enhancement in the Goa rivers, while river morphology (meandering) and hydrodynamic processes controlled the magnetic properties in the Karnataka rivers. The negative correlations between χ<sub>lf</sub> and finer sediment fraction, as opposed to other global studies, suggested the possibility of such occurrence in similar systems worldwide. The biplot between magnetic grain size and χ<sub>lf</sub> in the Karnataka rivers could fingerprint the source and track the environmental changes. Thus, the magnetic measurements were helpful in the discrimination and identification of different depositional environments.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"83 ","pages":"Article 104068"},"PeriodicalIF":2.1,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453967","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}
K.P. Vivek , K.H. Afnitha , Niya Benny , K.S. Amal , P. Ajayakumar , Lathika Cicily Thomas , K.B. Padmakumar
{"title":"Assemblage and diversity of euglenophytes in the intertidal pools along the southwest coast of India","authors":"K.P. Vivek , K.H. Afnitha , Niya Benny , K.S. Amal , P. Ajayakumar , Lathika Cicily Thomas , K.B. Padmakumar","doi":"10.1016/j.rsma.2025.104066","DOIUrl":"10.1016/j.rsma.2025.104066","url":null,"abstract":"<div><div>A contemporary taxonomical overview of the euglenophytes with significant insights into the euglenophyte genera and species diversity in the intertidal pools of the Southwest coast of India is provided. This study is the first to thoroughly examine euglenophytes in the interstitial water of five nearshore sandy intertidal pools, showcasing their diversity. It also builds on previous research conducted in India by providing insights into the physical and chemical parameters and the species composition of euglenophytes. A total of 31 species of euglenophytes belonging to two families (Euglenoidae and Phacaceae) were identified up to species level based on the cell morphology using standard identification keys, among which Euglenoidae dominated the most. <em>Trachelomonas sp.</em> was commonly observed across all stations in the study, likely due to its resilience, tolerance for high organic content, and status as a cosmopolitan thecate species. The variety, prevalence, and species diversity of euglenophytes within a particular area are shaped by temperature, salinity, pH, sunlight exposure, habitat features, climate, and various physicochemical and biological components. A positive correlation was confirmed between nitrate, phosphate, silicate, DO, pH, organic matter, total nitrogen, chlorophyll <em>a</em>, clay %, and silt % with euglenophytes' diversity and cell density.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"83 ","pages":"Article 104066"},"PeriodicalIF":2.1,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143444733","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}
Konstantin S. Tkachenko , Vu Viet Dung , Vo Thi Ha
{"title":"Ecological status and resilience of coral reefs in South-Central Vietnam (Khanh Hoa Province) in the third decade of the 21st century","authors":"Konstantin S. Tkachenko , Vu Viet Dung , Vo Thi Ha","doi":"10.1016/j.rsma.2025.104074","DOIUrl":"10.1016/j.rsma.2025.104074","url":null,"abstract":"<div><div>Khanh Hoa Province of South-Central Vietnam has extended coastline with many bays, coves and islands, which historically formed favorable conditions for the development of coral reefs in the South China Sea. The area is characterized by a high diversity of reef-building corals (more than 350 species). However, since the beginning of the 2000s, local coral communities have been in a state of increasing decline resulting from the enhancement of stressful natural and anthropogenic impacts. During the 3-year period (2022–2024), a complex assessment of coral reef status and a number of stressful factors has been performed on 17 reef sites in the coastal waters of the province. The mean coral cover was 27.4 % ± SD 26.8 %; coral taxa with stress-tolerant and weedy life strategies made the largest contributions to the composition of local coral communities. Only 5 of 17 sites revealed relatively high cover (>50 %), and only 7 sites had a coral genus richness > 10. More than half of the sites (9) revealed a high proportion of coral rubble (>20 %) as an obvious sign of reef decline. The phase shift from the dominance of stony corals to the dominance of macroalgae or non-skeleton cnidarians (soft coral <em>Clavularia</em> sp. and corallimorpharians <em>Rhodactis</em> spp.) was observed at 7 sites. Five stressful environmental factors stipulating reef decline were distinguished: 1) impact of annual cyclones; 2) anthropogenic reinforcement of sedimentation and eutrophication; 3) overfishing; 4) repetitive crown-of-thorns starfish outbreaks; and 5) sea surface temperature anomalies (the latter is mitigated by seasonal upwelling). Of the 17 reef sites, 2 with high resilience potential were recommended marine-protected areas. The management of other sites should be improved to increase reef resilience and biodiversity conservation.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"83 ","pages":"Article 104074"},"PeriodicalIF":2.1,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437195","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":"Advancing underwater binary image segmentation with PDBU-Net: A progressive approach to feature extraction and accuracy improvement","authors":"Geomol George , Anusuya S.","doi":"10.1016/j.rsma.2025.104065","DOIUrl":"10.1016/j.rsma.2025.104065","url":null,"abstract":"<div><div>Precise binary image segmentation in underwater environments is crucial for marine biology and underwater robotics applications, as fluctuations in lighting, water conditions, and object appearance provide substantial difficulties. To tackle these problems, this research presents PDBU-Net, an innovative deep-learning framework specifically created to improve the extraction of features and the accuracy of segmentation for binary images captured underwater. PDBU-Net incorporates a progressive feature extraction methodology into a strong deep neural network structure, resulting in significant enhancements in segmentation performance compared to current methods. PDBU-Net was tested extensively and achieved an average Intersection over Union (IoU) of 90.39% and an F-score of 94.94%. The model achieved precision and recall rates of 94.55% and 95.39% respectively, along with an overall accuracy of 95.66%. The results validate the efficacy of PDBU-Net in precisely detecting objects in a wide range of underwater photos, showcasing its successful implementation in real underwater analysis and robotics.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"83 ","pages":"Article 104065"},"PeriodicalIF":2.1,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437191","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":"Rent-seeking behavior of ship sulfur emission detection based on evolutionary game theory","authors":"Jing Liang , Liang Dong , Yuhang Che , Yu Tang , Yuying Dou","doi":"10.1016/j.rsma.2025.104060","DOIUrl":"10.1016/j.rsma.2025.104060","url":null,"abstract":"<div><div>The “IMO 2020 sulphur limit” is an important means to promote sulfur emission reduction in shipping, and the real oil inspection report is the basis for the realization of the IMO 2020, however, shipping companies and third-party fuel testing agencies conspire to falsify the oil inspection report. Therefore, this paper establishes a three-party game model between shipping companies, third-party fuel testing agencies and maritime management agencies based on prospect theory to study rent-seeking behaviour. On this basis, this model conducts a systematic analysis of the strategy selection and conditions for evolutionary stability among the three parties, and elucidates the underlying principles driving the evolutionary trends of each entity within the shipping system. Finally, a simulation analysis is conducted based on a real-world case of a ship's fuel sulfur emissions exceeding the standard to make suggestions for the maritime management agencies. The results show that:1) When shipping companies and maritime regulatory authorities exhibit a heightened awareness of risk aversion, they are inclined to refrain from adopting strategies that could entail potential risks, even if such strategies may yield substantial short-term gains.2) The price differential between high-sulfur and low-sulfur fuels constitutes a critical determinant influencing the decision-making processes of shipping companies. Additionally, factors such as the potential loss of corporate reputation, the likelihood of crew members actively reporting violations, and the implementation of a punitive feedback mechanism influence the degree to which shipping companies adhere to standardized operational practices.3) Testing cost represents a pivotal factor influencing the operations of third-party testing institutions.4) The choice of Maritime management agency is related to the cost of strict regulation, the fines by higher governmental authorities and environmental governance cost, and these factors exhibit distinct thresholds.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"83 ","pages":"Article 104060"},"PeriodicalIF":2.1,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420247","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}