Regional Studies in Marine Science最新文献

{"title":"Distributions and influencing factors of heavy metals in the coastal areas of the Yangtze River Estuary, China","authors":"Sha Lou ,&nbsp;Zhirui Zhang ,&nbsp;Feng Zhou ,&nbsp;Hao Wang ,&nbsp;Yuwen Zou ,&nbsp;Irina Viktorovna Fedorova ,&nbsp;Shuguang Liu","doi":"10.1016/j.rsma.2025.104216","DOIUrl":"10.1016/j.rsma.2025.104216","url":null,"abstract":"<div><div>The sediment of coastal wetlands is the primary source and sink of heavy metals. Many heavy metal pollutants enter the wetlands with runoff, and the physicochemical processes such as adsorption/desorption and sedimentation/resuspension occur under the interaction of runoff, tide, and wave. Through field investigation, this paper studied the spatial and temporal distribution of heavy metal concentrations of particulate, dissolved, and sediment in the Yangtze River estuary in January and May 2021 and discussed the influence of water physicochemical conditions such as temperature (TEMP), dissolved oxygen (DO), pH, redox potential (Eh), salinity (SAL), electrical conductivity (EC), and suspended particulate matter (SPM) on heavy metal concentration. The risks of heavy metals in sediment in the Yangtze estuary were comprehensively evaluated by the geo-accumulation index (<em>I</em>_<em>geo</em>) method, potential ecological risk assessment, and the Sediment Quality Guidelines (SQGs). The principal component analysis (PCA) was adopted to explain the sources of different heavy metals. It was found that the particulate Cr and Cu in water mainly originated from atmospheric deposition. The dissolved Zn in water was attributed to ship emissions. The Cu in sediment mainly originated from anthropogenic emissions, and the Cd in sediment was mainly from atmospheric deposition.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"86 ","pages":"Article 104216"},"PeriodicalIF":2.1,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143899139","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":"Towards an ecosystem approach to a simulated floating wind farm combined with climate change in the Bay of Biscay (France)","authors":"M. Le Marchand ,&nbsp;F. Ben Rais Lasram ,&nbsp;E. Araignous ,&nbsp;G. Halouani ,&nbsp;P. Bourdaud ,&nbsp;G. Safi ,&nbsp;N. Niquil ,&nbsp;F. Le Loc’h","doi":"10.1016/j.rsma.2025.104218","DOIUrl":"10.1016/j.rsma.2025.104218","url":null,"abstract":"<div><div>The Bay of Biscay includes areas of environmental importance, with a wide variety of benthic habitats and rich biodiversity. However, it experiences strong anthropogenic pressures, and the effects of climate change are already evident. Renewable energy infrastructures are set to be installed with the aim of reducing the carbon footprint by 2050. However, their effects on the environment demonstrate the need for holistic studies prior to project design. The Ecopath with Ecosim model can be used to model the entire food web and explore different scenarios for changes in the Bay of Biscay. In this study, four scenarios are developed: (1) a reference scenario based on the 2007–2016 environmental conditions; (2) a climate change scenario (increased production and consumption rates of fish to reflect rising sea temperature, presence of non-indigenous species and local distribution maps derived from species distribution models); (3) an offshore wind farm scenario (a biofouling group, wind farm area closed to fishing activities and increased suitability of the area for species likely to aggregate under the turbines); (4) a cumulative effects scenario. The results are analyzed in terms of biomass and catches within the wind farm and the surrounding area. The main findings are that (1) the arrival of non-indigenous species could lead to a change in the structure of the local food web, resulting in a general increase in fish biomass; (2) the attractiveness of the wind farm generates cascading effects; (3) the combination of the wind farm and climate change could cause contrasting effects on biomass and catches depending on the trophic groups, as well as a potential reorganization of the current food web. These results reflect potential effects of floating wind farms on the structure of the food web that should be considered in fisheries management scenarios in the context of a changing environment.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"87 ","pages":"Article 104218"},"PeriodicalIF":2.1,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069170","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":"A critical analysis of the marina environmental risk assessment method applied to Portugal","authors":"Maria C. Neves ,&nbsp;Alexandra Cravo ,&nbsp;José Jacob ,&nbsp;Catia Correia","doi":"10.1016/j.rsma.2025.104210","DOIUrl":"10.1016/j.rsma.2025.104210","url":null,"abstract":"<div><div>The MERA (Marina Environmental Risk Assessment) procedure was applied for the first time along the coast of Portugal to classify the risk of 26 marinas on water quality. A risk ranking Atlas was produced to provide managers or decision-makers with spatial information that can help achieve sustainable development goals. The results indicate that the eight marinas in the south coast of the country (Algarve) face the highest risk, primarily due to pressures from navigation activities. However, the ranking generated along the Algarve using indicators of trophic status (TRIX and Eff. Coeff.) based on chemical analysis of in-situ water samples do not align with MERA. The MERA methodology, as it stands, presents significant limitations. Specifically, it does not account for water chemical parameters, sediment contamination, or temporal variability, all of which are crucial for accurate assessments. To enhance the robustness of MERA, this study suggests incorporating additional parameters and metrics that encompass broader environmental indicators.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"86 ","pages":"Article 104210"},"PeriodicalIF":2.1,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143916932","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":"CO2 uptake potential of the East Asian Marginal Seas: Yellow, East China, and East/Japan Seas","authors":"So-Yun Kim ,&nbsp;Tongsup Lee ,&nbsp;Dong-Jin Kang","doi":"10.1016/j.rsma.2025.104217","DOIUrl":"10.1016/j.rsma.2025.104217","url":null,"abstract":"<div><div>Several factors control the CO₂ fugacity (<em>f</em>CO₂) in the water column of the East Asian Marginal Seas (EAMS). This study investigates the distribution of <em>f</em>CO₂ in the EAMS using surveys data from the Yellow Sea, the East China Sea, and the East/Japan Sea (EJS). It provides the first comprehensive mapping and analysis of <em>f</em>CO₂ throughout the entire water column of the EAMS. The results indicate that, except for the Yellow Sea in summer, the EAMS is an annual sink of atmospheric CO₂, with uptake rates ranging from 0.4 to 2.1 mol C m⁻² yr⁻¹. Below the surface, the decomposition of organic matter (through the EAMS) and the dissolution of carbonate minerals (in the EJS) led to a substantial increase in <em>f</em>CO₂, effectively facilitating CO₂ uptake into the ocean interior. From the surface to the ocean interior, EJS exhibits the most substantial potential for CO₂ uptake. <em>f</em>CO₂ is sensitive to various physical and biogeochemical processes. Therefore, understanding complex marginal sea (coastal sea) environments such as the EAMS requires continuous and extensive observation.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"86 ","pages":"Article 104217"},"PeriodicalIF":2.1,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143922838","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":"A pilot study of fish biodiversity with a highlight of chondrichthyans in Hong Kong waters using environmental DNA metabarcoding","authors":"Rongjie Zhao ,&nbsp;Veronica Tsz Tung Lam ,&nbsp;Yifang Chen ,&nbsp;Jonathan Yat Fung Sit ,&nbsp;Jianlong Li ,&nbsp;Kenneth Mei Yee Leung ,&nbsp;Meng Yan","doi":"10.1016/j.rsma.2025.104194","DOIUrl":"10.1016/j.rsma.2025.104194","url":null,"abstract":"<div><div>Assessing marine fish biodiversity, particularly high trophic level and conservation value species like chondrichthyans (sharks, rays, and skates), is crucial for evaluating the health of local fisheries and the sustainability of coastal ecosystems. Hong Kong boasts a diverse coastal ecosystem and harbors a wide variety of marine fish species. Yet traditional fish survey methods often fall short of efficiently assessing local fish diversity. In this study, we employed the non-invasive environmental DNA (eDNA) method, to evaluate the overall fish diversity in Hong Kong, with a focus on chondrichthyans. We collected full-depth water samples from the eastern, southern, and western waters of Hong Kong. The primer set <em>Elas12S</em> was used to target chondrichthyans, while <em>12S_V5</em> was used to screen for all fish species. We successfully detected five chondrichthyan species (<em>Scoliodon laticaudus</em>, <em>Scoliodon macrorhynchos</em>, <em>Gymnura japonica</em>, <em>Telatrygon zugei</em>, and <em>Hemitrygon bennettii</em>), two of which are Near Threatened and two are Vulnerable according to the IUCN Red List. The eDNA data unveiled 136 fish species from 54 families within Hong Kong’s coastal waters, with <em>Mugil cephalus</em> exhibiting the highest level of abundance. The indicator species utilized to assess environmental conditions differed substantially across distinct hydrographic zones. Our findings in this eDNA pilot study conducted in Hong Kong demonstrate that the eDNA method can be applied to detect targeted, vulnerable or near-threatened fish species, such as sharks and rays. Furthermore, this rapid detection methodology could have valuable applications for long-term biodiversity monitoring and marine conservation. To enhance the eDNA method and its accuracy in species identification, we recommend establishing a comprehensive reference database of DNA barcodes for local fish species and investigating appropriate sampling efforts in the highly diverse waters of Hong Kong.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"86 ","pages":"Article 104194"},"PeriodicalIF":2.1,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143881538","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":"Assessing the impact of human activities on heavy metal pollution in mangrove wetland surface waters: A case study of the Zhangjiangkou Estuary","authors":"Yingying Qian ,&nbsp;Lianzhi Zhong ,&nbsp;Zhi Zheng ,&nbsp;Danyang Li ,&nbsp;Lei Wang ,&nbsp;Bin Yan ,&nbsp;Yan Lin","doi":"10.1016/j.rsma.2025.104215","DOIUrl":"10.1016/j.rsma.2025.104215","url":null,"abstract":"<div><div>Mangrove ecosystems are among the most biologically diverse and productive marine ecosystems globally, with significant ecological and environmental functions. Nonetheless, research into heavy metal pollution in mangrove wetland surface waters remains limited. In this study, surface water and sediment porewater samples were collected from 24 stations within the Zhangjiangkou estuary and mangrove area. Cu (89.51 ± 54.78 μg/L) and Pb (61.86 ± 39.68 μg/L) concentration were the highest in water, followed by Ni (27.28 ± 2.42 μg/L), Cr (19.62 ± 3.64 μg/L), Hg (7.38 ± 2.00 μg/L), Cd (6.61 ± 0.40 μg/L). With the exception of Hg, the concentrations of all heavy metals were highest in the upstream and downstream of the study area, with lower concentrations observed in the middle reaches. Cu and Pb are clearly influenced by anthropogenic sources, with Pb concentrations at locations proximal to bridges, railways, and fishing activities exceeding 50 % of the total Pb concentration, while Cu concentrations in the downstream and upstream of the river and areas within mangrove forests accounted for 30 %-74 % of the total Cu concentration. Principal component analysis (PCA) suggests that the primary sources of heavy metals were transportation and agriculture mixed sources (accounting for 62.68 %) and mariculture pollution (accounting for 37.32 %). Cu and Pb concentration exceeded the third category seawater quality standards, highlighting an overall unfavorable pollution status.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"86 ","pages":"Article 104215"},"PeriodicalIF":2.1,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143900284","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":"Assessing blue carbon sink through the soil decomposition processes in tropical monsoon (Amazon) and Semiarid mangroves","authors":"N. Beloto ,&nbsp;M.R. Gmach ,&nbsp;L.C. Cotovicz Jr. ,&nbsp;T. Giarrizzo ,&nbsp;G.N. Nóbrega ,&nbsp;T. Pegado ,&nbsp;J.V.M. Rodrigues ,&nbsp;M.O. Soares ,&nbsp;F.C.S. Nascimento ,&nbsp;R.D. Ward ,&nbsp;L.E.A. Bezerra","doi":"10.1016/j.rsma.2025.104212","DOIUrl":"10.1016/j.rsma.2025.104212","url":null,"abstract":"<div><div>Blue carbon (C) storage in mangroves soils is linked to the anaerobic organic matter (OM) decomposition under saline conditions. Therefore, studies concerning the decomposition in mangroves are relevant to evaluate factors that could affect C storage, a pivot strategy to climate change adaptation. Thus, OM decomposition was assessed using a standardized decomposition method (e.g., Tea Bag Index - TBI) in Brazilian mangroves in contrasting climate regions (monsoon Amazon and Semiarid). Our results indicated greater decomposition at monsoonal Amazon compared with a Semiarid region for green tea (∼25-days: Amazon = 75 %; Semiarid = 60 %; ∼90-days: Amazon = 85 %; Semiarid = 70 %), and rooibos tea (∼25-days: Amazon = 28 %; Semiarid = 20 %; ∼90-days: Amazon = 37 %; Semiarid = 30 %). The decomposition rate (<em>k</em>) and stabilisation factor (<em>S</em>) were consistent with observed results in wetland ecosystems, with higher values at the beginning of incubation (∼25 days), compared to ∼90-days interval (<em>k</em>mean ∼25–90 days: Amazon = 0.03–0.01; Semiarid = 0.02–0.01); (Smean ∼25–90 days: Amazon = 0.10–0.13; Semiarid = 0.28–0.16), indicating a possible trend towards the stabilisation of OM decomposition. Climate differences aside, OM concentration, <em>k</em>, and S values in the Amazon and Semiarid regions can be linked to regional differences, such as tree species and size (net primary productivity), soil composition (physico-chemical conditions, clay assemblages, iron oxide content), river inputs, and tidal range. Therefore, regional differences in the decomposition process are likely to be a consistent indicator that the C cycle can vary substantially along tropical coastlines and is susceptible to global environmental changes.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"86 ","pages":"Article 104212"},"PeriodicalIF":2.1,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143912699","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":"Assessment of coastal vulnerability along Bangladesh coast using analytical hierarchical process (AHP)","authors":"Shakila Kayum ,&nbsp;Yukihiro Shimatani ,&nbsp;Tomoko Minagawa","doi":"10.1016/j.rsma.2025.104211","DOIUrl":"10.1016/j.rsma.2025.104211","url":null,"abstract":"<div><div>Situated within one of the world’s largest basins, the Ganges-Brahmaputra-Meghna (GBM), Bangladesh frequently experiences natural disasters due to itsgeomorphological setup. Situated along the southern edge of Bangladesh and open to the Bay of Bengal, this coastline experiences regular and diverse natural disasters. Owing to climate change, the coastline of Bangladesh is expected to become more vulnerable over time. Consequently, it is essential to understand the spatio-temporal dimensions of vulnerability and reinforce the resilience of coastal communities. This study utilized Remote Sensing and GIS techniques in combination with Multi-Criteria Decision Making (MCDM) and the Analytical Hierarchical Process (AHP) to establish a Coastal Vulnerability Index (CVI) of Bangladesh coast. AHP was conducted in ArcGIS version 10.5, using two geological parameters, five physical process variables, and three socio-economic parameters. Several thematic maps were created for each parameter using ArcGIS and reclassified according to vulnerability rankings. Ultimately, a CVI was developed, categorizing vulnerability into three classes: moderately vulnerable, vulnerable, and highly vulnerable. Results indicate that approximately 70 % of coastal areas are vulnerable, while 29 % area fall within moderate to high vulnerability zones. Around 1 % of the area in Khulna District, Satkhira District, and Char Fasson of Bhola District is classified as highly vulnerable. Considering the coastline, 28 km is highly vulnerable, 315 km moderately vulnerable, and 196 km vulnerable. This study will provide valuable insights for government officials, local administrators, coastal planners, and decision-makers in developing a risk management plan for sustainable long-term coastal management.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"86 ","pages":"Article 104211"},"PeriodicalIF":2.1,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887892","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":"Cadmium and rising tides: Amplified greenhouse gas emissions from mangrove sediment","authors":"Hengzhi Yin ,&nbsp;Ruili Li ,&nbsp;Xiaofeng Wu ,&nbsp;Yuefei Huang ,&nbsp;Guanghui Lin ,&nbsp;Bing Li ,&nbsp;Guanqian Wang","doi":"10.1016/j.rsma.2025.104200","DOIUrl":"10.1016/j.rsma.2025.104200","url":null,"abstract":"<div><div>Mangrove ecosystems, renowned for their carbon sequestration capabilities, also contribute to the emission of greenhouse gases from their sediments. They are under stress from human activities and global changes, such as heavy metal pollution and rising sea levels, which can affect carbon stability and greenhouse gas emissions. However, the combined impact of these factors is not fully understood to date. This study assessed the impact of cadmium contamination at varying levels of inundation depths on the emission of CO₂, N₂O, and CH₄ from mangrove sediments. The findings indicated that increased inundation depth intensifies the effect of low cadmium concentrations on CO₂ emissions, with sediment CO₂ flux doubling from 3430 μmol m⁻² h⁻¹ to 6720 μmol m⁻² h⁻¹. In contrast, deeper water levels reduced N₂O emissions in the presence of high cadmium concentrations, lowering sediment N₂O flux from 14.10 μmol m⁻² h⁻¹ to 10.13 μmol m⁻² h⁻¹. These results highlight that the combined effects of rising inundation depth and cadmium pollution can enhance greenhouse gas emissions from mangrove sediments. It is crucial to consider the synergistic effects of pollution and rising sea levels on the stability of sediment carbon and gas emission rates in the conservation and management of mangroves. Such assessments will bolster efforts to protect blue carbon and achieve carbon neutrality in the future.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"86 ","pages":"Article 104200"},"PeriodicalIF":2.1,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143878667","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":"A low-cost methodology for estimating beach-stranded plastic pellets using drone-based aerial photographs and marine natural wracks as proxy","authors":"G.M. Izar ,&nbsp;T.Y. Tan ,&nbsp;S.T. Martinez ,&nbsp;G.O. da Rocha ,&nbsp;A.C.R. Albergaria-Barbosa","doi":"10.1016/j.rsma.2025.104198","DOIUrl":"10.1016/j.rsma.2025.104198","url":null,"abstract":"<div><div>We established a relationship between natural wrack debris and plastic pellet density on a sandy beach using Unmanned Aerial Vehicles (UAV), a <em>low-cost</em> quadcopter drone. Floating marine debris (natural or anthropogenic), including plastic pellets, tend to coalesce, drift, and strand together on sandy beaches. Drones are a cheap and widely available technology. Here, we verified whether it is plausible to indirectly estimate plastic pellet densities using drone aerial photos by identifying the local coverage of natural debris. Pellets and natural debris were manually sampled <em>in situ</em> on two beaches on the coast of São Paulo (Brazil) to verify the relationship between them. Once a model was established, drone aerial photos were taken on the largest beach (Itaguaré - 2 km in length), and heat maps of the distribution of natural debris from both methods were compared. The regression models from the field method predicted pellet densities with 45 % accuracy. Other factors not considered in this study (wave energy and sediment composition) may have influenced this accuracy. However, when comparing the pellet dispersion heat maps obtained from both methods (manual sampling and drone-based aerial photos), it can be conclude that the drone-based method was effective, especially in identifying hot spots for pellet entries onto beaches. The drone-based method allows a single person to evaluate the occurrence of plastic pellets in 35 thousand times more beach area than the conventional field methodology in just over 1 h of flight. This method is fast, easy, scalable, and accessible.</div></div>","PeriodicalId":21070,"journal":{"name":"Regional Studies in Marine Science","volume":"86 ","pages":"Article 104198"},"PeriodicalIF":2.1,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143876820","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}