Regional Studies in Marine Science最新文献_第4页

Spatio-temporal assessment of shoreline retreat and future vulnerability of Mousuni Island, West Bengal, India 印度西孟加拉邦穆苏尼岛海岸线退缩及未来脆弱性的时空评价

IF 2.4 4区环境科学与生态学 Q3 ECOLOGY

Regional Studies in Marine Science

Pub Date : 2026-01-15 DOI: 10.1016/j.rsma.2026.104782

Kiran Jalem , Sagar Kumar Swain , Debdas Mandal

Shoreline retreat poses a significant threat to coastal systems, that are highly vulnerable to climatic and hydrodynamic variability. However, long-term studies linking past changes with future shoreline projections are still limited in many deltaic regions. This study evaluates the spatio-temporal shoreline dynamics of Mousuni Island, West Bengal, over the past four decades (1980–2023) using multi-temporal Landsat imagery and DSAS-based coastal vulnerability assessment framework (DSAS 5.0). Shoreline dynamics were analysed along 1541 transects using five indicators, such as End Point Rate (EPR), Linear Regression Rate (LRR), Weighted Linear Regression (WLR), Net Shoreline Movement (NSM), and Shoreline Change Envelope (SCE). The analysis revealed erosion as the dominant process, affecting nearly 90 % of the island’s perimeter. The mean shoreline retreat was −4.36 m/yr, with extreme erosion rates reaching −23.55 m/yr in the southern and northwestern high-risk zones, whereas limited accretion occurred in northeastern pockets, with a maximum gain of + 2.81 m/yr. Between 1980 and 2023, Mousuni Island lost approximately 19.3 % of its land area, with peak erosion (2.28 km²) during 1990–2000. Forecasting using Kalman Filter model projects further shoreline retreat of 500–700 m by 2043, reinforcing the island’s high vulnerability under sediment deficit, cyclonic pressure, and declining vegetation buffers. The model provides robust estimates, though these include uncertainty related to data resolution and natural variability. Model validation confirmed WLR as the most reliable metric for long-term shoreline prediction. The study’s novelty lies in integrating historical erosion patterns with future risk projections, providing a replicable framework for deltaic island vulnerability assessment. These findings offer valuable insights for nature-based solutions, strategic embankment design, and the development of climate-resilient coastal management frameworks.

海岸线退缩对沿海系统构成了重大威胁，这些系统极易受到气候和水动力变化的影响。然而，在许多三角洲地区，将过去的变化与未来海岸线预测联系起来的长期研究仍然有限。利用多时相Landsat影像和基于DSAS的海岸脆弱性评估框架（DSAS 5.0），对西孟加拉邦穆苏尼岛近40年（1980-2023年）的海岸线时空动态进行了评价。采用终点率（End Point Rate， EPR）、线性回归率（Linear Regression Rate， LRR）、加权线性回归（Weighted Linear Regression， WLR）、净岸线运动（Net Shoreline Movement， NSM）和岸线变化包络度（Shoreline Change Envelope， SCE） 5个指标对1541个样带的岸线动态进行了分析。分析显示，侵蚀是主要的过程，影响了近90% %的岛屿周长。平均海岸线后退为- 4.36 m/yr，南部和西北部高风险带的极端侵蚀速率达到- 23.55 m/yr，而东北部口袋发生有限的增加，最大增加为+ 2.81 m/yr。在1980年至2023年间，穆苏尼岛损失了大约19.3% %的土地面积，在1990年至2000年期间，侵蚀达到了峰值（2.28 平方公里）。利用卡尔曼滤波模型预测，到2043年，海岸线将进一步后退500-700 米，加强了该岛在泥沙损失、气旋压力和植被缓冲减少下的高度脆弱性。该模型提供了可靠的估计，尽管其中包括与数据分辨率和自然变率相关的不确定性。模型验证证实了WLR是长期海岸线预测最可靠的度量。该研究的新颖之处在于将历史侵蚀模式与未来风险预测相结合，为三角洲岛屿脆弱性评估提供了一个可复制的框架。这些发现为基于自然的解决方案、战略性堤防设计和气候适应性沿海管理框架的发展提供了宝贵的见解。

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引用次数: 0

Developing a geometric mean-based disaster vulnerability index (DVI): A holistic approach for quantifying multiplicative vulnerability to riverbank erosion in coastal Bangladesh 建立基于几何均值的灾害脆弱性指数（DVI）：一种量化孟加拉国沿海地区河岸侵蚀的多重脆弱性的整体方法

IF 2.4 4区环境科学与生态学 Q3 ECOLOGY

Regional Studies in Marine Science

Pub Date : 2026-01-15 DOI: 10.1016/j.rsma.2026.104774

Arabe Khan , Md Mahmudul Hasan Rakib , Irteja Hasan , Fairuj Islam , Devlina Saha Aishee , Arafat Islam Pranto , Zitu Kundu , Raian Islam Evan , Rahat Khan , Dhiman Kumer Roy

Disaster vulnerability primarily due to riverbank erosion is one of the most critical concerns of coastal communities living alongside the riverbanks. This study aims to develop the Disaster Vulnerability Index (DVI) by adopting a geometric mean approach to comprehensively assess community vulnerability to riverbank erosion. The DVI is mainly composed of four contributory factors: hazard, exposure, sensitivity, and resilience. These factors are integrated to provide a more nuanced understanding of vulnerability and identify the most influential indicators for evaluating vulnerability. The research was conducted in Manpura Upazila, a highly vulnerable riverine island in Bangladesh, and assessed the vulnerability across its four unions (Dakkhin Sakuchia, Hazirhat, Monpura, and Uttar Sakuchia). The results indicate significant spatial variation in DVI values, highlighting Dakkhin Sakuchia as the most vulnerable union (0.554), followed by Hazirhat (0.499), Monpura (0.470), and Uttar Sakuchia (0.311). It is generally the localized exposure and hazard factors combined with differentiated social and economic sensitivity that influence household resilience capacity and livelihood sustainability, which generally explains this variation in disaster vulnerability. The predominant factors driving higher vulnerability include frequent erosion events, proximity of settlements to riverbanks, significant agricultural losses, and insufficient healthcare, education, and disaster preparedness. The newly developed DVI employs the geometric mean approach to effectively capture the multiplicative interactions among indicators, providing a nuanced, context-sensitive measure of vulnerability. So, this study offers policymakers and disaster management authorities a robust tool to prioritize targeted interventions and allocate resources effectively, aiming to mitigate risks and enhance resilience against riverbank erosion in vulnerable communities.

灾害脆弱性主要是由于河岸侵蚀，这是居住在河岸沿岸的沿海社区最关心的问题之一。本研究旨在采用几何平均方法建立灾害脆弱性指数（DVI），以综合评估社区对河岸侵蚀的脆弱性。DVI主要由四个因素组成：危害、暴露、敏感性和恢复力。将这些因素综合起来，以便更细致地了解脆弱性，并确定评估脆弱性的最具影响力的指标。这项研究是在孟加拉国一个高度脆弱的河流岛屿曼普拉岛进行的，并评估了其四个联盟（Dakkhin Sakuchia, Hazirhat， Monpura和Uttar Sakuchia）的脆弱性。结果表明，各地区DVI值存在显著的空间差异，其中达克津樱花最脆弱（0.554），其次是Hazirhat（0.499）、Monpura（0.470）和Uttar Sakuchia（0.311）。一般来说，局部暴露和灾害因素加上不同的社会和经济敏感性影响家庭的复原能力和生计可持续性，这通常解释了这种灾害脆弱性的差异。导致脆弱性增加的主要因素包括频繁的侵蚀事件、定居点靠近河岸、重大的农业损失以及医疗、教育和防灾准备不足。新开发的DVI采用几何平均方法来有效地捕捉指标之间的乘法相互作用，提供细致入微的、对环境敏感的脆弱性衡量。因此，本研究为政策制定者和灾害管理当局提供了一个强有力的工具，以确定有针对性的干预措施的优先顺序，并有效分配资源，旨在减轻风险，增强脆弱社区对河岸侵蚀的抵御能力。

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引用次数: 0

Population dynamics and life history traits of the commercially important jaguar round crab Xantho poressa (Olivi, 1792) in Gran Canaria’s Intertidal Zones (Spain) 西班牙大加那利潮间带具有重要商业价值的美洲虎圆蟹Xantho poressa （Olivi, 1792）种群动态及生活史特征

IF 2.4 4区环境科学与生态学 Q3 ECOLOGY

Regional Studies in Marine Science

Pub Date : 2026-01-15 DOI: 10.1016/j.rsma.2026.104777

Airam Guerra-Marrero , Ana Espino-Ruano , David Jiménez-Alvarado , Lorena Couce-Montero , José J. Castro

The jaguar round crab, Xantho poressa, is the most important bait shellfish species in the Canary Islands. The aim of the study was to assess the status and population structure of Xantho poressa in the island of Gran Canaria. Specimens of X. poressa were caught monthly between July 2020 and December 2021 in three intertidal areas with different fishing pressure. Males were consistently larger and heavier than females, and the sex ratio was not different to 1:1. Length-weight relationship showed a negative allometric growth pattern in both sexes, and no significant differences were found between the sampling areas on three sides of the island, suggesting the presence of a single population. Ovigerous females were observed throughout the year, with a peak between June and August, indicating a continuous reproductive cycle. The ELEFAN method estimated an asymptotic carapace length of 31.19 mm. Catch per unit effort showed notable differences between the sampled areas, being the highest abundances (10.42 g/m²/gatherer) recorded at the northern coast and the lowest (5.10 g/m²/gatherer) at the southern one. The relative low abundance, particularly in the south coast, in relation with the current allowed catch quotas (1500 g/day/gatherer for artisanal fishing, 200 g/day/gatherer for recreational fishing) and a high number of recreational fishing licenses, indicate that the jaguar round crab stock of the island could be in risk of overfishing. This analysis provided crucial biological information to support management and conservation strategies for X. poressa.

美洲虎圆蟹（Xantho poressa）是加那利群岛最重要的饵料贝类。本研究的目的是评估在大加那利岛（Gran Canaria）的黄杉（Xantho poressa）的现状和种群结构。2020年7月至2021年12月，在3个不同捕捞压力的潮间带逐月捕获了波雷沙。雄性始终比雌性更大更重，性别比为1:1。两性长重关系均表现为负异速生长模式，岛三面取样区域间无显著差异，提示存在单一种群。雌虫全年均有产卵现象，6月至8月为产卵高峰，为连续繁殖周期。ELEFAN方法估计的渐近甲壳长度为31.19 mm。单位努力渔获量在不同采样区域之间存在显著差异，北部沿海丰度最高（10.42 g/m2/采集者），南部沿海最低（5.10 g/m2/采集者）。相对较低的丰度，特别是在南海岸，与目前允许的捕捞配额（手工捕捞1500 克/天/采集者，休闲捕捞200 克/天/采集者）和大量的休闲捕捞许可证相比，表明岛上的美洲虎圆蟹种群可能面临过度捕捞的风险。这一分析结果为红木的管理和保护策略提供了重要的生物学信息。

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引用次数: 0

Spatial patterns of zooplankton communities along the Sinop-Samsun transect Sinop-Samsun样带浮游动物群落的空间格局

IF 2.4 4区环境科学与生态学 Q3 ECOLOGY

Regional Studies in Marine Science

Pub Date : 2026-01-14 DOI: 10.1016/j.rsma.2026.104779

Funda Üstün , Orçin Uygun , Levent Bat , Murat Dağtekin

This study examined the zooplankton composition, abundance, and biomass distribution, as well as their relationship with environmental variables at 17 stations between Sinop (Türkeli) and Samsun (Yakakent) in the Turkish Black Sea in June 2023. The mean zooplankton abundance and biomass were 705.85 ± 556.02 individuals (ind.)/m³ and 39.53 ± 37.33 mg/m³, respectively. The copepods were the most dominant taxa in terms of abundance and biomass, followed by Noctiluca scintillans. Coastal shallow stations were mainly characterised by higher abundances of Paracalanus parvus and Acartia clausi, whereas offshore deeper stations were associated with Pseudocalanus elongatus, Oithona similis and Parasagitta setosa. Zooplankton abundance and biomass exhibited marked spatial variability along the transect. The abundances of Pleopis polyphemoides and meroplankton groups were affected by temperature and salinity changes. These findings indicate that the zooplankton community structure exhibits spatial variation and is sensitive to environmental variables.

研究了2023年6月土耳其黑海Sinop （t rkeli）和Samsun （Yakakent）之间17个站点浮游动物组成、丰度、生物量分布及其与环境变量的关系。平均浮游动物丰度为705.85 ± 556.02个体(ind.)/m3，生物量为39.53 ± 37.33 mg/m3。桡足类在丰度和生物量上都是最优势的类群，其次是夜光类。近岸浅水站主要以细小拟蟹（Paracalanus parvus）和克氏拟蟹（Acartia clausi）丰度较高为特征，而近岸较深站则以细长拟蟹（Pseudocalanus elongatus）、相似拟蟹（Oithona similis）和setosa拟蟹（Parasagitta setosa）为主。浮游动物丰度和生物量沿样带呈现明显的空间变异性。温度和盐度的变化对多角比目鱼（Pleopis polyphemoides）和meroplankton类群的丰度有影响。这些结果表明，浮游动物群落结构具有空间差异性，对环境变量敏感。

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引用次数: 0

Toward sustainable use of dolphinfish (Coryphaena hippurus) in the Northwest Pacific: A framework for stock assessment and management strategy evaluation 西北太平洋海豚（Coryphaena hippurus）的可持续利用：种群评估与管理策略评价框架

IF 2.4 4区环境科学与生态学 Q3 ECOLOGY

Regional Studies in Marine Science

Pub Date : 2026-01-13 DOI: 10.1016/j.rsma.2026.104771

Sheng-Ping Wang , Wen-Qi Xu , Chih-Yu Lin , Toshihide Kitakado , Wei-Chuan Chiang

This study presents an integrated framework that combines age-structured stock assessment with management strategy evaluation (MSE) to support the sustainable management of dolphinfish (Coryphaena hippurus) in the Northwest Pacific Ocean. Using fishery-dependent data from Taiwan, including catch, standardised CPUE, and length composition, the assessment indicated that the stock is currently above SSB_MSY and that fishing mortality remains below F_MSY. To evaluate candidate management procedures (MPs) for setting future total allowable catches (TACs) under several uncertainties, a simulation-based MSE was implemented using a precautionary operating model with multiple stochastic replicates. Four different harvest control rules (HCRs) as main components of MPs were tested to assess trade-offs between biological safety and catch performance. Among these, a precautionary HCR demonstrated strong performance across conservation indicators, providing a practical example of how the framework can inform precautionary decision-making. Despite regional data constraints, the study demonstrates how MSE can be applied under data-limited conditions to evaluate strategies transparently and systematically. The modular design allows for future integration of environmental drivers, socio-economic considerations, and broader regional data inputs, offering a foundation for science-based, cooperative management of transboundary pelagic species in the region.

本研究提出了一个结合年龄结构种群评估和管理策略评估（MSE）的综合框架，以支持西北太平洋海豚（Coryphaena hippurus）的可持续管理。利用台湾渔业相关资料，包括渔获量、标准化CPUE和长度组成，评估结果显示，目前鱼群数量高于最高可捕捞上限，而捕捞死亡率仍低于最高可捕捞上限。为了评估在几种不确定因素下设定未来总允许捕获量（TACs）的候选管理程序（MPs），使用具有多个随机重复的预防性操作模型实现了基于模拟的MSE。测试了作为MPs主要组成部分的四种不同的捕捞控制规则（hcr），以评估生物安全和捕捞性能之间的权衡。其中，预防性HCR在保护指标方面表现出色，为框架如何为预防性决策提供信息提供了一个实际例子。尽管存在区域数据限制，但该研究展示了如何在数据有限的条件下应用MSE来透明和系统地评估战略。模块化设计允许未来整合环境驱动因素、社会经济因素和更广泛的区域数据输入，为该区域跨界远洋物种的科学合作管理奠定基础。

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引用次数: 0

A framework for assessing the pollution risk analysis of oil spill incidents on inland lakes: Oil spill models and case studies of Lake Chaohu, China 内陆湖溢油污染风险评估框架——巢湖溢油模型与案例研究

IF 2.4 4区环境科学与生态学 Q3 ECOLOGY

Regional Studies in Marine Science

Pub Date : 2026-01-12 DOI: 10.1016/j.rsma.2026.104775

Zefu Liu , Aiping Huang , Bing Ma , Fei Dong , Xiaobo Liu

As an essential function of the Yinjiang-Jihuai Project, shipping in the Lake Chaohu area faces potential risks of oil spills. In response to the increasing threat of oil spill impacts on the lake, a comprehensive framework for assessing oil spill risks in inland lakes has been proposed. This framework integrates lake fluid dynamics (oil spill modeling), the Environmental Sensitivity Index (ESI). The framework was applied to Chaohu Lake in China, where oil slick migration paths were simulated at multiple oil spill accident points along the Chao shipping segment. A lake oil spill comprehensive risk index method was proposed to assess the severity of oil spill incidents and quantify the impact of single wind directions on oil slick migration. The results indicate that both wind direction and the flow field jointly influence the migration of the oil slick, with wind direction playing the dominant role. The location of the oil spill also affects the accumulation of the oil slick. At the Pai River Estuary, oil spills have the greatest impact on the ecological shoreline of Lake Chaohu, and spills during navigation affect the largest area of water. At the Baishi-Tianhe River Estuary, oil spills under various wind directions may cause pollution to the water intake in the southwest region of Lake Chaohu. Within 24 h, the oil spill comprehensive risk index is highest at the Pai River Estuary; within 72 h, the highest index is observed at the Baishi-Tianhe River Estuary. It is recommended that targeted response measures be implemented for high risk areas based on the oil slick drift characteristics at different spill locations, during different periods, and under the worst case wind conditions.

作为银吉淮工程的重要功能，巢湖地区的航运面临着潜在的溢油风险。针对内陆湖溢油风险日益增加的威胁，提出了内陆湖溢油风险综合评估框架。该框架整合了湖泊流体动力学（溢油建模）、环境敏感性指数（ESI）。将该框架应用于中国巢湖，在巢湖航段多个溢油事故点模拟浮油运移路径。提出湖泊溢油综合风险指数法，评估溢油事件的严重程度，量化单一风向对浮油迁移的影响。结果表明：风向和流场共同影响浮油的迁移，风向起主导作用；溢油的位置也会影响浮油的积累。排河口溢油对巢湖生态岸线的影响最大，航行溢油影响水域面积最大。在白石-天河河口，不同风向下的溢油会对巢湖西南部取水口造成污染。24 h内，排河口溢油综合风险指数最高；72 h内，白石-天河口的指数最高。建议根据不同溢油地点、不同时段和最坏风力条件下的浮油漂移特征，对高风险区域实施针对性的应对措施。

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引用次数: 0

MAF-UFormer: Oil spill detection in SAR images using multi-scale alignment and fusion U-shaped transformer network MAF-UFormer：基于多尺度对准和融合u型变压器网络的SAR图像溢油检测

IF 2.4 4区环境科学与生态学 Q3 ECOLOGY

Regional Studies in Marine Science

Pub Date : 2026-01-12 DOI: 10.1016/j.rsma.2026.104773

Caiyi Sun, Dawei Wang, Mingming Xu, Shiqing Wei, Shanwei Liu, Zhongwei Li

Synthetic aperture radar (SAR) has emerged as a vital technology for detecting oil spills, even in challenging weather conditions. Deep learning models have demonstrated significant potential in leveraging SAR images for oil spill detection, owing to their robust feature extraction capabilities. However, considering the diversity of oil spill target scales and the extraction of global and local information, there are still particular challenges in accurately extracting oil spill areas from SAR images. Additionally, polarimetric information can significantly enhance the separability of oil films and seawater. To overcome these challenges, a Multi-scale Alignment and Fusion U-Shape Transformer Network (MAF-UFormer) is proposed, which enhances feature representation by integrating multi-scale fusion and agent attention mechanisms. To evaluate the effectiveness of MAF-UFormer, we perform experiments on the publicly available Deep-SAR Oil Spill Detection (SOS) dataset. The results demonstrate that MAF-UFormer achieves F1-Scores of 87.51 % and 83.03 % on the Sentinel-1 and PALSAR subsets of SOS, respectively. To further validate the robustness of MAF-UFormer, we create a new dataset, the Sentinel-1 Oil Spill Detection Dataset Part 1 (S1OSD-1). Experiments on S1OSD-1 demonstrate MAF-UFormer’s superior accuracy in oil spill detection, outperforming existing methods. Given SAR’s capability to extract polarimetric features that aid in distinguishing oil spills from seawater, we enhance S1OSD-1 by incorporating polarimetric data to construct Part 2 (S1OSD-2). On S1OSD-2, MAF-UFormer achieves an additional 1.68 % improvement in F1-Score over S1OSD-1. These results highlight the potential of MAF-UFormer for oil spill detection, offering vital technical support for oil spill emergency response and marine environmental protection.

合成孔径雷达（SAR）已经成为探测石油泄漏的重要技术，即使在恶劣的天气条件下也是如此。由于其强大的特征提取能力，深度学习模型在利用SAR图像进行溢油检测方面显示出了巨大的潜力。然而，考虑到溢油目标尺度的多样性以及全球和局部信息的提取，从SAR图像中准确提取溢油区域仍然存在着特殊的挑战。此外，极化信息可以显著提高油膜与海水的可分离性。为了克服这些挑战，提出了一种多尺度对齐融合u型变压器网络（MAF-UFormer），该网络通过集成多尺度融合和智能体注意机制来增强特征表征。为了评估MAF-UFormer的有效性，我们在公开可用的Deep-SAR溢油检测（SOS）数据集上进行了实验。结果表明，MAF-UFormer在SOS的Sentinel-1和PALSAR子集上分别达到87.51 %和83.03 %的F1-Scores。为了进一步验证MAF-UFormer的鲁棒性，我们创建了一个新的数据集，Sentinel-1溢油检测数据集第一部分（S1OSD-1）。在S1OSD-1上的实验表明，MAF-UFormer在溢油检测方面具有优越的准确性，优于现有的方法。鉴于SAR能够提取有助于区分漏油和海水的极化特征，我们通过结合极化数据构建第2部分（S1OSD-2）来增强S1OSD-1。在S1OSD-2上，MAF-UFormer在F1-Score上比S1OSD-1提高了1.68 %。这些结果突出了MAF-UFormer在溢油检测方面的潜力，为溢油应急响应和海洋环境保护提供了重要的技术支持。

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引用次数: 0

Continuous annual monitoring of mangrove forest dynamics and sustainability implications in Nigeria: A seven-year remote sensing analysis using Sentinel-2, global mangrove watch, and tidal filtering 尼日利亚红树林动态和可持续性影响的连续年度监测：使用Sentinel-2、全球红树林监测和潮汐过滤的7年遥感分析

IF 2.4 4区环境科学与生态学 Q3 ECOLOGY

Regional Studies in Marine Science

Pub Date : 2026-01-12 DOI: 10.1016/j.rsma.2026.104765

Olabanji Odunayo Aladejana , Babatunde Joseph Fagbohun , Israel Ropo Orimoloye , Akinola Adesuji Komolafe , Jimoh A. Ibrahim

Mangroves are highly productive intertidal ecosystems that provide vital services, including carbon sequestration, fisheries support, and coastal protection, which are essential for sustainable development in coastal regions. However, these ecosystems face increasing pressures from urban expansion, pollution, deforestation, and climate change. This study presents a continuous seven-year (2017–2023) geospatial analysis of mangrove dynamics across five key coastal regions in Nigeria using Sentinel-2 imagery processed within the Google Earth Engine (GEE) cloud-computing platform. To improve ecological accuracy, imagery was pre-processed using cloud masking and further filtered with the FES2014 tidal model to exclude observations acquired under unsuitable tidal conditions. Annual median NDVI composites were generated, and a decision-tree classification approach was used to map mangrove extent, integrating Global Mangrove Watch (GMW2020) data and field-calibrated spectral thresholds. Pixels were classified into mangrove, non-mangrove, or water based on ecologically meaningful NDVI and NDWI thresholds. Classification accuracy remained consistently high (88.89 %–95.19 %, Kappa: 0.78–0.90). The analysis revealed region-specific trends: slight net growth in Bayelsa, moderate decline in the Calabar–Cameroon region and Port Harcourt, minor but highly variable losses in Lagos, and relative stability in Warri. Notably, transitional and fragmented mangroves declined, indicating ecosystem degradation at the edges. These findings highlight the value of integrating Earth observation data with tidal context and cloud-based geospatial processing to inform targeted conservation, restoration, and coastal resource planning. The study underscores the need for regionally adaptive mangrove management strategies as part of broader sustainable development goals.

红树林是高产的潮间带生态系统，提供重要的服务，包括碳封存、渔业支持和沿海保护，这对沿海地区的可持续发展至关重要。然而，这些生态系统面临着来自城市扩张、污染、森林砍伐和气候变化的越来越大的压力。本研究使用谷歌地球引擎（GEE）云计算平台处理的Sentinel-2图像，对尼日利亚五个主要沿海地区的红树林动态进行了连续七年（2017-2023）的地理空间分析。为了提高生态精度，对图像进行了云掩蔽预处理，并用FES2014潮汐模型进行了进一步过滤，以排除在不合适潮汐条件下获得的观测数据。利用全球红树林观察（GMW2020）数据和野外校准的光谱阈值，生成了年NDVI中位数复合材料，并采用决策树分类方法绘制红树林范围。基于具有生态意义的NDVI和NDWI阈值，将像素点分为红树林、非红树林和水域。分类准确率保持在88.89 % -95.19 %,Kappa: 0.78-0.90之间。分析揭示了各区域的具体趋势：巴耶尔萨地区净增长轻微，卡拉巴-喀麦隆地区和哈科特港略有下降，拉各斯地区损失较小，但变化很大，瓦里地区相对稳定。值得注意的是，过渡和破碎红树林减少，表明边缘生态系统退化。这些发现突出了将地球观测数据与潮汐背景和基于云的地理空间处理相结合，为有针对性的保护、恢复和沿海资源规划提供信息的价值。该研究强调需要制定区域适应性红树林管理战略，作为更广泛的可持续发展目标的一部分。

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引用次数: 0

Microalgae-derived biochar for microplastic removal from aquatic systems: A comprehensive review and future perspectives 从水生系统去除微塑料的微藻衍生生物炭：综合综述和未来展望

IF 2.4 4区环境科学与生态学 Q3 ECOLOGY

Regional Studies in Marine Science

Pub Date : 2026-01-10 DOI: 10.1016/j.rsma.2026.104767

Ashrita Mohanty , Madhusmita Behera , Aditya Kishore Dash , Akshaya Kumar Verma

Microplastics (MPs) have emerged as a prevailing contaminant in aquatic environments, posing ecological risks and potential threats to human health due to their persistence and toxicity. Conventional remediation approaches are often constrained by high costs, limited efficiency and risk of secondary pollution. Recently, microalgae-derived (MD) biochar has gained attention as a sustainable and effective adsorbent for MP removal, with studies reporting removal efficiencies ranging from 60 % to 99 %, depending on MP type, size, surface chemistry, and operational conditions. Its high surface reactivity, cost-effectiveness and environmental compatibility make MD-biochar a promising alternative to conventional adsorbents. This review evaluates the potential of MD biochar in MP remediation, emphasizing how physicochemical properties such as porosity, functional groups and surface charge govern adsorption performance. Various microalgal species, such as Chlorella and Spirulina, have been explored as biochar precursors, offering unique structural and chemical properties that enhance MP removal. Production conditions, particularly pyrolysis temperature (450–750℃) and activation strategies, strongly influence biochar functionality. The mechanisms of MP adsorption, involving electrostatic attraction, hydrophobic partitioning and π-π interactions, are thoroughly discussed. Additionally, the review emphasizes the benefits of utilizing MD-biochar compared to conventional adsorbents, its ability to be regenerated and its ecological sustainability. Issues such as scalability, variations in MP composition are also discussed. Further studies should concentrate on defining common parameters, run pilot trials in diverse water matrices, integrating emerging tools such as AI-ML, carry out cost-benefit studies and stakeholder engagement.

微塑料已成为水生环境中的主要污染物，由于其持久性和毒性，对生态风险和人类健康构成潜在威胁。传统的修复方法往往受到成本高、效率有限和二次污染风险的制约。最近，微藻衍生（MD）生物炭作为一种可持续和有效的MP去除吸附剂引起了人们的关注，研究报告的去除效率从60% %到99% %不等，具体取决于MP类型、大小、表面化学和操作条件。其高表面反应性、成本效益和环境相容性使md -生物炭成为传统吸附剂的一个有前途的替代品。本文综述了MD生物炭在MP修复中的潜力，强调了孔隙度、官能团和表面电荷等物理化学性质对吸附性能的影响。各种微藻，如小球藻和螺旋藻，已被探索作为生物炭前体，具有独特的结构和化学性质，提高了MP的去除。生产条件，特别是热解温度（450-750℃）和活化策略，对生物炭的功能有很大影响。讨论了MP吸附的静电吸引、疏水分配和π-π相互作用等机理。此外，本文还强调了与传统吸附剂相比，利用md -生物炭的优势，其再生能力和生态可持续性。问题，如可扩展性，变化的MP组成也进行了讨论。进一步的研究应集中于确定共同参数，在不同的水基质中进行试点试验，整合新兴工具，如AI-ML，进行成本效益研究和利益相关者参与。

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引用次数: 0

Under-recognized impacts of abandoned, lost, and discarded fishing gear on threatened marine wildlife in the remote Andaman Islands, Bay of Bengal: A baseline study 在孟加拉湾偏远的安达曼群岛，被遗弃、丢失和丢弃的渔具对濒危海洋野生动物的影响尚未得到充分认识：一项基线研究

IF 2.4 4区环境科学与生态学 Q3 ECOLOGY

Regional Studies in Marine Science

Pub Date : 2026-01-10 DOI: 10.1016/j.rsma.2026.104770

Venkatesan Shiva Shankar , Neelam Purti , Pradip Panda , Kalyan De

Abandoned, lost, or otherwise discarded fishing gear (ALDFG) poses a significant threat to marine biodiversity globally, yet its impacts in remote island ecosystems remain poorly documented. This study provides the first baseline assessment of ALDFG interactions with threatened marine megafauna in the Andaman Islands, Bay of Bengal, using observations collected between 2020 and 2025. A total of 147 interactions were documented, of which sea turtles accounted for 88.4 % (n = 130). Olive Ridley turtles represented 69.2 % of turtle cases (n = 90) and Green turtles 28.5 % (n = 37), while Hawksbill and Leatherback turtles constituted the remaining 2.3 % (n = 3). Overall, 82.3 % of entangled turtles (n = 107) were rescued alive. Other affected taxa included the Andaman water monitor lizard (5.4 %, n = 8), Saltwater Crocodile (4.8 %, n = 7), and Dugong (1.4 %, n = 2). Fishing nets were responsible for 96.6 % of all interactions, with ropes accounting for the remaining 3.4 %. While many animals were successfully rescued (76.2 %, n = 112), several were found dead (23.8 %, n = 35) due to entanglement. These findings highlight the pervasive and under-reported threat of ALDFG to vulnerable marine fauna in the Andaman Islands. Mitigating ALDFG impacts requires a combination of improved gear reporting and retrieval systems, strengthened regulatory enforcement, capacity building of local fishing communities, and community-based monitoring to prevent gear loss and enhance conservation outcomes. Therefore, immediate policy interventions, coupled with awareness and engagement of local fishing communities, are essential to conserve marine wildlife in this ecologically sensitive region.

被遗弃、丢失或以其他方式丢弃的渔具（ALDFG）对全球海洋生物多样性构成重大威胁，但其对偏远岛屿生态系统的影响仍缺乏文献记载。本研究利用2020年至2025年收集的观测资料，首次对孟加拉湾安达曼群岛的ALDFG与濒危海洋巨型动物的相互作用进行了基线评估。共记录147次相互作用，其中海龟占88.4 % （n = 130）。榄蠵龟龟代表69.2 %的龟箱(n = 90)和绿海龟28.5 % (n = 37),而玳瑁和棱皮龟构成剩余的2.3 % (n = 3)。总体而言，82.3 %的缠结海龟（n = 107）获救。其他影响类群包括安达曼水巨蜥(5.4 % n = 8),盐水鳄鱼(4.8 % n = 7),和儒艮(1.4 % n = 2)。渔网占所有相互作用的96.6% %，绳索占剩余的3.4% %。虽然许多动物成功获救（76.2 %,n = 112），但由于缠结，一些动物被发现死亡（23.8 %,n = 35）。这些调查结果突出表明，安达曼群岛的ALDFG对脆弱的海洋动物构成了普遍而未被报道的威胁。减轻ALDFG的影响需要改进渔具报告和检索系统、加强监管执法、地方渔业社区的能力建设以及以社区为基础的监测相结合，以防止渔具损失和提高保护成果。因此，立即采取政策干预，加上当地渔业社区的意识和参与，对于保护这一生态敏感地区的海洋野生动物至关重要。

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引用次数: 0