Regional Studies in Marine Science最新文献_第5页

Assessment of heavy metal pollution and ecological risk in sediments from the Southeast coastal and riverine zones of Bangladesh 孟加拉国东南沿海和河流沉积物重金属污染及生态风险评估

IF 2.4 4区环境科学与生态学 Q3 ECOLOGY

Regional Studies in Marine Science

Pub Date : 2026-01-28 DOI: 10.1016/j.rsma.2026.104820

Tasrina Rabia Choudhury , M. Abbas Alam , Foyez Jalal Uddin , Syed Riad , Sheikh Fahim Faysal Sowrav , M. Safiur Rahman , A.M. Sarwaruddin Chowdhury

Due to the persistence and non-biodegradable nature of heavy metals, human anthropogenic activities have made heavy metal a particular threat. In this study, heavy metals in sediment have been determined to assess the environmental pollution level of the southeast coastal and riverine zone of Bangladesh. Elevated concentrations of Ag, Cd, Hg, As, and Se in sediments are primarily associated with specific industrial activities, including shipbreaking yards, metal processing and electroplating industries (Ag, Cd), tanneries and dyeing industries (Cr, Cd), paint manufacturing and battery-related activities (Pb, Hg), and untreated urban and industrial effluents (As, Se). These findings indicate that localized industrial practices, rather than generalized waste disposal alone, play a dominant role in shaping sediment contamination patterns in the study area. 14 sampling sites from Karnaphuli river sites where heavy industries are placed and 10 sampling sites each from Patenga sea beach and Sandwip Island for sediment (0–5 cm) have been selected. Sediment pollution level has been evaluated by Pollution load index (PLI), Enrichment factor (EF), Geo-accumulation index (Igeo), potential ecological risk index (RI) and inter element correlation analysis. The results have showed that sediment is highly polluted with Ag and moderately polluted with Cd, Hg, As, Se. For non-carcinogenic health risk assessment, Health hazard (HI) has been measured based on adult person standard. Non-carcinogenic health risk assessment based on sediment ingestion and dermal exposure pathways indicated HI values exceeding unity for adults in selected industrial locations. The result also showed that pollution is occurring in some highly risked areas named as Ichanagar, Banglabazar ghat, Sadarghat, Laldair chair, Mahesh khal Satgola, South Salimpur union, Zaobagan and Golden Beach. This study identifies the types of industries responsible for the pollution and suggests several remedies to mitigate pollution levels.

由于重金属的持久性和不可生物降解性，人类的人为活动使重金属成为一种特殊的威胁。本研究通过测定沉积物中的重金属含量来评价孟加拉国东南沿海和河滨地区的环境污染水平。沉积物中银、镉、汞、砷和硒浓度的升高主要与特定的工业活动有关，包括拆船厂、金属加工和电镀工业（银、镉）、制革厂和印染工业（铬、镉）、油漆制造和电池相关活动（铅、汞），以及未经处理的城市和工业废水（砷、硒）。这些发现表明，局部的工业实践，而不是普遍的废物处理，在形成研究区域的沉积物污染模式中起主导作用。从Karnaphuli河重工业所在地选取了14个采样点，从Patenga海滩和Sandwip岛选取了10个沉积物采样点（0-5 cm）。采用污染负荷指数（PLI）、富集因子（EF）、地质累积指数（Igeo）、潜在生态风险指数（RI）和元素间相关分析评价沉积物污染水平。结果表明，沉积物中银是重度污染，镉、汞、砷、硒是中度污染。在非致癌性健康风险评估中，健康危害是根据成人标准来衡量的。基于沉积物摄入和皮肤接触途径的非致癌健康风险评估表明，在选定的工业地点，成年人的HI值超过单位。调查结果还显示，污染发生在一些高风险地区，如伊查那加尔、Banglabazar ghat、Sadarghat、Laldair chair、Mahesh khal Satgola、South Salimpur union、Zaobagan和黄金海滩。这项研究确定了造成污染的工业类型，并提出了减轻污染水平的几种补救措施。

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引用次数: 0

Acute microbial and nutrient responses to elevated temperature and pCO2: A coastal UK microcosm study 急性微生物和营养反应升高的温度和二氧化碳分压：沿海英国的微观研究

IF 2.4 4区环境科学与生态学 Q3 ECOLOGY

Regional Studies in Marine Science

Pub Date : 2026-01-27 DOI: 10.1016/j.rsma.2026.104814

Lukas Marx , Michelle Hale , B.B. Cael , Sarah Reynolds

The coastal ocean’s ecosystem resilience is consistently hampered by the compounding impacts of projected climate change and anthropogenic perturbation. In this microcosm study, we investigated how elevated temperature and pCO₂, together with episodic nutrient pollution and a short-term marine heatwave, affect the nano- and picoplanktonic community of primary producers and subsequent changes in coastal biogeochemistry. Our study demonstrates that future elevated temperature and pCO₂ conditions impact the planktonic community, first by a ∼ 50 % decreased autotrophic abundance, and second by a shift from larger eukaryotic to smaller cells. When combined with a heatwave, total primary producers experienced an additional 37–38 % decrease, indicative of a negative synergistic effect beyond either stressor alone. Picoeukaryotes were particularly sensitive, declining by 44–50 %. Short-term nutrient pollution under ambient conditions induced a 41 % increase in cell abundance, but failed to stimulate biomass under elevated temperature and pCO₂, and instead led to altered organic matter dynamics, including significantly lower carbon fixation. These findings emphasize the need for further evaluation of multi-stressor interactions to better understand biogeochemical vulnerability, nutrient retention, and ecological functioning in coastal ecosystems undergoing rapid climatic and anthropogenic change.

沿海海洋生态系统的恢复能力一直受到预测的气候变化和人为干扰的复合影响的阻碍。在这个微观世界的研究中，我们研究了温度升高和二氧化碳分压升高，以及偶发性营养污染和短期海洋热浪如何影响初级生产者的纳米和微浮游生物群落以及随后的沿海生物地球化学变化。我们的研究表明，未来升高的温度和pCO2条件会影响浮游生物群落，首先是自养丰度降低~ 50% %，其次是从较大的真核细胞向较小的细胞转变。当与热浪相结合时，初级生产者的产量又减少了37 - 38% %，这表明除了单独的压力源之外，还有负面的协同效应。微真核生物尤其敏感，下降了44 - 50% %。环境条件下的短期营养污染导致细胞丰度增加41% %，但在温度升高和二氧化碳分差升高的情况下不能刺激生物量，而是导致有机质动力学改变，包括碳固定显著降低。这些发现强调需要进一步评估多应激源相互作用，以更好地了解经历快速气候和人为变化的沿海生态系统的生物地球化学脆弱性、营养保留和生态功能。

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引用次数: 0

Mangroves and the SDGs: Remote sensing – Based evaluation of vegetation and water dynamics 红树林与可持续发展目标：基于遥感的植被和水动态评估

IF 2.4 4区环境科学与生态学 Q3 ECOLOGY

Regional Studies in Marine Science

Pub Date : 2026-01-27 DOI: 10.1016/j.rsma.2026.104800

Pavani Darapureddy, Rajashree Naik

Mangroves in the Bay of Bengal face increasing seasonal stress from climate change and altered freshwater inflows, threatening biodiversity, carbon storage, and shoreline stability. The Krishna Wildlife Sanctuary (KWS), a key estuarine mangrove system on India’s east coast, is especially vulnerable to these seasonal hydrological shifts. We analyzed Landsat 8 time-series (2014–2025) to quantify Normalized Difference vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) across summer (April–June) and winter (December–February). NDVI and NDWI were higher in winter than in summer, reflecting reduced evapotranspiration, monsoonal recharge, and improved freshwater availability. These results emphasize the importance of seasonal hydrology in sustaining mangrove ecosystems. The study contributes to global conservation targets by supporting SDG 6 (Clean Water and Sanitation) through freshwater regulation and natural filtration, and maintaining the hydrological balance in coastal regions, SDG 14 (Life Below Water) by monitoring estuarine mangrove ecosystem health and SDG 15 (Life on Land) by highlighting mangroves as critical habitats. NDVI and NDWI proved to be effective indicators of ecological changes, and their application can guide adaptive conservation strategies, freshwater management, and policy planning under climate stress.

由于气候变化和淡水流入的改变，孟加拉湾的红树林面临着越来越大的季节性压力，威胁着生物多样性、碳储量和海岸线的稳定性。克里希纳野生动物保护区（KWS）是印度东海岸一个重要的河口红树林系统，特别容易受到这些季节性水文变化的影响。通过分析2014-2025年的Landsat 8时间序列，量化夏季（4 - 6月）和冬季（12 - 2月）的归一化植被指数（NDVI）和归一化水指数（NDWI）。NDVI和NDWI在冬季高于夏季，反映了蒸散量减少、季风补给和淡水可利用性提高。这些结果强调了季节性水文在维持红树林生态系统中的重要性。该研究通过淡水调节和自然过滤来支持可持续发展目标6（清洁水和卫生设施），并维持沿海地区的水文平衡，通过监测河口红树林生态系统健康来支持可持续发展目标14（水下生命），通过强调红树林是重要栖息地来促进可持续发展目标15（陆地生命），从而有助于实现全球保护目标。NDVI和NDWI被证明是有效的生态变化指标，它们的应用可以指导气候胁迫下的适应性保护策略、淡水管理和政策规划。

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引用次数: 0

Compressed high-spatial-resolution imagery to train and validate seagrass percent cover mapping using sentinel-2 imagery 压缩的高空间分辨率图像，用于训练和验证使用sentinel-2图像绘制的海草覆盖百分比图

IF 2.4 4区环境科学与生态学 Q3 ECOLOGY

Regional Studies in Marine Science

Pub Date : 2026-01-27 DOI: 10.1016/j.rsma.2026.104808

Pramaditya Wicaksono , Setiawan Djody Harahap , Safina Rajwaa Ananda , Kevin Oit Benyamin , Rahma Izzatun Nabiha , Valentia Widia Maharsi

Seagrass percent cover (PC) is a key indicator of seagrass ecosystem condition, reflecting habitat quality and levels of degradation. Mapping seagrass PC using remote sensing typically requires field-based reference data for model training and validation, frequently derived from photo-quadrat surveys. An alternative approach involves indirect estimation using high-spatial-resolution imagery, including compressed imagery available through Google Earth platform (hi-res imagery). This study evaluates the effectiveness of using hi-res imagery to generate training and validation data for seagrass PC mapping with Sentinel-2 imagery. Six seagrass meadows representing a range of seagrass densities and species compositions were selected. Reference seagrass PC data were derived by analysing hi-res imagery using ISODATA unsupervised classification within grid cells corresponding to the Sentinel-2 ground sampling distance (GSD). A Random Forest (RF) regression model was then developed to map seagrass PC. Model performance was evaluated using the coefficient of determination (R²), root mean square error (RMSE), and 1:1 scatter plots. The results demonstrate that hi-res imagery can be effectively used to generate seagrass PC reference data for training and validating Sentinel-2–based RF regression models, achieving an RMSE of less than 25 %. This approach produces reference data that are spatially consistent with Sentinel-2 GSD and provides a more efficient and cost-effective alternative to extensive field photo-quadrat surveys or the acquisition of original high-resolution imagery. Integrating medium and high-spatial-resolution imagery is therefore recommended for seagrass PC mapping, as it provides a practical, scalable, and cost-effective framework for long-term seagrass ecosystem monitoring and management.

海草盖度是反映生境质量和退化程度的海草生态系统状况的重要指标。使用遥感测绘海草PC通常需要基于现场的参考数据进行模型训练和验证，这些数据通常来自照片样方调查。另一种方法是使用高空间分辨率图像进行间接估计，包括通过谷歌地球平台提供的压缩图像（高分辨率图像）。本研究评估了使用高分辨率图像生成训练和验证数据的有效性，用于使用Sentinel-2图像进行海草PC映射。选取了代表海草密度和种类组成范围的6个海草草甸。参考海草PC数据是通过对Sentinel-2地面采样距离（GSD）对应网格单元内的高分辨率图像进行ISODATA无监督分类分析得到的。然后建立随机森林（RF）回归模型来绘制海草PC图。使用决定系数（R²）、均方根误差（RMSE）和1:1散点图来评估模型的性能。结果表明，高分辨率图像可以有效地用于生成海草PC参考数据，用于训练和验证基于sentinel -2的RF回归模型，RMSE小于25% %。该方法产生的参考数据在空间上与Sentinel-2 GSD一致，为广泛的现场照片样方调查或原始高分辨率图像的获取提供了更有效和更具成本效益的替代方案。因此，建议将中、高空间分辨率图像集成到海草PC制图中，因为它为长期监测和管理海草生态系统提供了一个实用、可扩展且经济有效的框架。

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引用次数: 0

Projecting climate change impacts on thermal performance and fitness of Octopus maya in the Campeche Bank 气候变化对坎佩切河岸玛雅章鱼热性能和适合度的影响

IF 2.4 4区环境科学与生态学 Q3 ECOLOGY

Regional Studies in Marine Science

Pub Date : 2026-01-27 DOI: 10.1016/j.rsma.2026.104809

Ángel Escamilla-Aké , Luis Enrique Angeles-Gonzalez , Ángel Rojo-Cebreros , Alejandro Kurczyn , Carlos Rosas

Climate change poses a significant threat to marine ecosystems with rising sea temperatures, particularly affecting the thermal performance and fitness of marine ectotherms, such as Octopus maya. The present study developed a prospective model to assess the impact of temperature changes on O. maya populations in the Campeche Bank, a key fishing region in the Gulf of Mexico. The model integrates physiological data with thermal gradients estimates across three distinct zones: upwelling (Zone I), transitional (Zone II), and non-upwelling (Zone III), and incorporates the instantaneous effects of temperature on performance and tolerance time. The results indicate that O. maya exhibits optimal fitness within a temperature range of 21°C to 26°C, with a significant decrease in fitness as temperatures exceed 26°C, particularly in warmer Zone III. Continuous bottom temperature monitoring is essential, especially in shallow coastal waters where O. maya is harvested by artisanal fishers to assess long-term viability. The findings highlight the importance of integrating environmental monitoring with adaptive management strategies to mitigate climate change impacts on this valuable species and the coastal communities that depend on it.

随着海水温度的上升，气候变化对海洋生态系统构成了重大威胁，特别是影响了玛雅章鱼等海洋变温动物的热性能和适应性。本研究开发了一个前瞻性模型，以评估温度变化对墨西哥湾坎佩切河岸的玛雅人种群的影响，坎佩切河岸是墨西哥湾的一个重要渔区。该模型将生理数据与三个不同区域的热梯度估计相结合：上升流（区I）、过渡（区II）和非上升流（区III），并结合了温度对性能和耐受时间的瞬时影响。结果表明，玛雅古树在21 ~ 26°C的温度范围内适合度最佳，超过26°C后适合度显著降低，特别是在较温暖的III区。持续的海底温度监测是必不可少的，特别是在沿海浅水地区，手工渔民捕捞玛雅鱼以评估其长期生存能力。研究结果强调了将环境监测与适应性管理策略相结合的重要性，以减轻气候变化对这种珍贵物种和依赖它的沿海社区的影响。

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引用次数: 0

Detecting marine pollution made simple with YOLOv12: A multi-class approach for real-time debris recognition YOLOv12使海洋污染检测变得简单：实时碎片识别的多类别方法

IF 2.4 4区环境科学与生态学 Q3 ECOLOGY

Regional Studies in Marine Science

Pub Date : 2026-01-27 DOI: 10.1016/j.rsma.2026.104801

Yang Li , Li Guangxue , Feng Xiuli

Marine litter has become a serious environmental issue, posing significant threats to wildlife, food security, marine industries, human health, and the ecosystem at large. To curb marine litter pollution, detection and monitoring should be done as early as possible. Nonetheless, the existing methods that use people or sensors are not reliable, effective, or precise enough to manage a vast range of marine environments. This research introduces a new method for real-time identification of marine debris using an advanced deep learning computer vision algorithm called YOLOv12, which can detect and place objects in images or video streams with high speed and accuracy. We have a dataset of fifteen different forms of marine debris common in water resources, created using aerial and underwater images. The method increases the capacity of the method to deal with the complexity of the ocean environment and its diversity by introducing custom image processing layers that interpret visual data across various scales- allowing both large debris and small fragments to be detected at the same time. According to the experimental findings, YOLOv12 works well in adverse circumstances, including those with shadows, occlusions, small items, and a large number of overlapping debris, and shows high detection rates: 83.54 % precision on a standard detection threshold and 70.25 % precision across different thresholds (a good result with respect to the performance under varying levels of confidence). The tests based on quantitative and qualitative methods prove that the method can be used in real-life scenarios, autonomous systems, such as underwater robots and uncrewed aerial vehicles. To support efforts to combat marine litter pollution, preserve natural resources, and ensure the sustainable existence of the marine environment in the long term, this paper proposes an exact and cost-effective approach to monitoring marine litter. This study is suitable for detection and monitoring applications; the current model cannot reliably distinguish between debris and entangled marine organisms, making it unsafe for autonomous cleanup robots until organism-protection safeguards are implemented. Human verification remains essential for all physical intervention decisions.

海洋垃圾已经成为一个严重的环境问题，对野生动物、粮食安全、海洋产业、人类健康和整个生态系统构成重大威胁。为了遏制海洋垃圾污染，应尽早进行检测和监测。然而，现有的用人或传感器的方法并不可靠、有效，也不够精确，无法管理大范围的海洋环境。本研究介绍了一种利用先进的深度学习计算机视觉算法YOLOv12实时识别海洋垃圾的新方法，该算法可以高速准确地在图像或视频流中检测和放置物体。我们有一个数据集，包括水资源中常见的15种不同形式的海洋垃圾，这些垃圾是用航空和水下图像创建的。该方法通过引入自定义图像处理层来解释不同尺度的视觉数据，从而增加了该方法处理海洋环境复杂性及其多样性的能力——允许同时检测大碎片和小碎片。实验结果表明，YOLOv12在阴影、遮挡、小物品和大量重叠碎片等不利环境下都能很好地工作，并且显示出很高的检测率：在标准检测阈值上的精度为83.54 %，在不同阈值上的精度为70.25 %（相对于不同置信度下的性能而言，这是一个很好的结果）。基于定量和定性方法的测试证明，该方法可用于现实场景，自主系统，如水下机器人和无人驾驶飞行器。为了支持打击海洋垃圾污染、保护自然资源和确保海洋环境的长期可持续存在的努力，本文提出了一种精确和具有成本效益的监测海洋垃圾的方法。本研究适用于检测和监测应用；目前的模型不能可靠地区分碎片和纠缠的海洋生物，在实施生物保护措施之前，自动清理机器人是不安全的。人为验证对于所有物理干预决策仍然至关重要。

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引用次数: 0

Impact of microplastics on the attachment strength of blue mussels, Mytilus species in different substrates 微塑料对蓝贻贝、贻贝在不同基质上附着强度的影响

IF 2.4 4区环境科学与生态学 Q3 ECOLOGY

Regional Studies in Marine Science

Pub Date : 2026-01-27 DOI: 10.1016/j.rsma.2026.104815

Darolin Vinisha, Ketan Christi, Surendra Prasad

The study investigated the attachment strength of blue mussels, Mytilus sp., in two different substrates in Laucala Bay, Fiji, to examine the impact of microplastics on their byssal threads. Quality of the threads examined was carried out using different approaches. There was a significant difference, p

\leq

0.01 in the mean of byssus thickness between the mussels collected from rocks (46.52 ± 14.81 µm) and sediments (14.08 ± 6.37 µm). Mytilus sp. present in rocky surfaces had byssal threads 53.53 % thicker than Mytilus sp. found in the sediments. Similar results observed when attachment strength for Mytilus sp. were measured in two substrates. Statistically a significant difference p

\leq

0.01 was seen in the tenacity for mussels collected from rocks (30.56 ± 10.77 nm) and sediments (5.49 ± 4.10 nm). Mytilus sp. present in rocky surfaces had their tensile strength 69.54 % stronger than Mytilus sp. found in the sediments. The seventeen ingested plastic pieces were distinguished from the sixty-six plastic type pieces in the foot of Mytilus sp. All polymers were present in form of fiber where 94.1 % of the polymer identified was found in the foot of Mytilus sp. from sediments, while 5.8 % from the samples collected from the rocks, indicating that concentrations of microplastics (MPs) were higher in the sediments than in water columns. Owning to the persistent nature of MPs and the findings of this study, continued accumulation of MPs may weaken the attachment capacity of mussels over time, potentially affecting their survival and stability within intertidal habitats.

该研究调查了蓝贻贝（Mytilus sp.）在斐济劳卡拉湾（Laucala Bay）两种不同基质上的附着强度，以检查微塑料对其粗线的影响。采用不同的方法检测螺纹的质量。岩石中采集的贻贝足厚度平均值（46.52±14.81µm）与沉积物中采集的贻贝足厚度平均值（14.08±6.37µm）差异有统计学意义（p≤0.01）。在岩石表面发现的贻贝螺比在沉积物中发现的贻贝螺粗53.53%。当在两种基质上测量Mytilus sp.的附着强度时，观察到类似的结果。岩石（30.56±10.77 nm）和沉积物（5.49±4.10 nm）贻贝的韧性差异有统计学意义（p≤0.01）。在岩石表面发现的贻贝的抗拉强度比沉积物中发现的贻贝的抗拉强度高69.54%。17个摄入的塑料碎片与Mytilus sp.脚部的66个塑料类型碎片区分开来。所有聚合物都以纤维的形式存在，其中94.1%的聚合物是在Mytilus sp.脚部的沉积物中发现的，而从岩石中收集的样品中发现的聚合物为5.8%，表明沉积物中的微塑料（MPs）浓度高于水柱。由于MPs的持久性和本研究的发现，随着时间的推移，MPs的持续积累可能会削弱贻贝的附着能力，潜在地影响它们在潮间带栖息地的生存和稳定。

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引用次数: 0

Chemometric techniques for distribution and source identification of PAHs in selected coastal zones of Malaysia 马来西亚选定沿海地区多环芳烃分布和来源鉴定的化学计量技术

IF 2.4 4区环境科学与生态学 Q3 ECOLOGY

Regional Studies in Marine Science

Pub Date : 2026-01-27 DOI: 10.1016/j.rsma.2026.104810

Aminu Ibrahim , Azimah Ismail , Hafizan Juahir , Hajjar Hartini Wan Jusoh

This study investigated the concentration, spatial distribution, and sources of polycyclic aromatic hydrocarbons (PAHs) in selected coastal zones of Malaysia. Total PAH concentrations ranged from 256 to 2176.1 ng/L, with a mean value of 1374 ng/L, indicating notable spatial variability across the study area. Chemometric techniques were applied to interpret pollution patterns and contamination levels. Cluster analysis classified the sampling sites into three distinct groups representing moderate, high, and high–moderate contamination levels. Discriminant analysis achieved a classification accuracy of 89.4 %, identifying naphthalene, acenaphthene, chrysene, and dibenzo[a,h]anthracene as the most influential compounds distinguishing between groups. Source apportionment indicated that PAHs in the study area predominantly originated from vehicular emissions, biomass (wood) combustion, and petroleum-related activities. The integration of chemometric approaches provided robust insights into contamination trends and pollutant sources, demonstrating their effectiveness for interpreting complex environmental datasets. These findings highlight the importance of multivariate statistical tools in improving environmental monitoring, risk assessment, and management strategies aimed at protecting coastal water quality

本研究调查了马来西亚沿海地区多环芳烃（PAHs）的浓度、空间分布和来源。多环芳烃总浓度范围为256 ~ 2176.1 ng/L，平均值为1374 ng/L，表明研究区内存在显著的空间差异。化学计量学技术被用于解释污染模式和污染水平。聚类分析将采样点分为三个不同的组，分别代表中等、高和中高污染水平。判别分析的分类准确率为89.4% %，发现萘、苊、蒽和二苯并[a，h]蒽是区分基团最具影响力的化合物。来源分析表明，研究区多环芳烃主要来源于机动车尾气排放、生物质（木材）燃烧和石油相关活动。化学计量学方法的整合提供了对污染趋势和污染源的强有力的见解，证明了它们在解释复杂环境数据集方面的有效性。这些发现强调了多元统计工具在改善环境监测、风险评估和旨在保护沿海水质的管理策略方面的重要性

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引用次数: 0

Projecting the future of Canada’s ocean resources for a Blue Economy 为蓝色经济预测加拿大海洋资源的未来

IF 2.4 4区环境科学与生态学 Q3 ECOLOGY

Regional Studies in Marine Science

Pub Date : 2026-01-26 DOI: 10.1016/j.rsma.2026.104813

Pedro C. González-Espinosa , Mohammad Nasir Tighsazzadeh , Helena Julietta Debus , Muhammed A. Oyinlola , William W.L. Cheung , Gabriel Reygondeau , Andrés M. Cisneros-Montemayor

The Blue Economy promotes ocean-based sectors that support social equity, environmental sustainability, and lasting economic development, and Canada is currently developing a national ocean strategy to meet these goals. However, climate change is reshaping ecosystems by altering variables like water temperatures, oxygen levels, acidity, sea levels, wind, and current patterns, with direct consequences for sectors that rely on ocean resources. This study projects the future availability of marine resources in Canada for fisheries, mariculture, ocean energy, blue carbon, and ecotourism, with a focus on regional differences and impacts on coastal communities that depend on them. Across Canada’s Pacific, Arctic, and Atlantic coasts, results indicate mixed outcomes depending on the region and climate scenario. By the end of the century, compared to today, mean changes in resource potential under a low-emissions scenario (SSP1–2.6) are projected to range from approximately + 1 % to + 18 %, while under a high-emissions scenario (SSP5–8.5), from approximately −7 % to + 38 %, depending on the region. Nationally, average availability is projected to rise by 5.7 % (SSP1–2.6) and 8.6 % (SSP5–8.5). However, these averages obscure severe, localised declines, particularly in parts of the Arctic and East Coast, where resource availability could decrease by up to 50 %. Such declines could directly affect the livelihoods of approximately 6000 people, primarily in Indigenous communities, employed in the fisheries and aquaculture sectors. These findings demonstrate the need for local, regional, and national adaptive climate-resilient policy frameworks that prioritise support for coastal communities, foster inclusive leadership, promote equity in benefits and responsibilities, and ensure the long-term sustainability of ocean-dependent livelihoods and ecosystems.

蓝色经济促进支持社会公平、环境可持续性和持久经济发展的海洋部门，加拿大目前正在制定一项国家海洋战略以实现这些目标。然而，气候变化正在通过改变水温、含氧量、酸度、海平面、风和洋流模式等变量来重塑生态系统，对依赖海洋资源的部门产生直接影响。本研究预测了加拿大渔业、海水养殖、海洋能源、蓝碳和生态旅游等海洋资源的未来可用性，重点关注了区域差异及其对依赖这些资源的沿海社区的影响。在加拿大的太平洋、北极和大西洋沿岸，结果显示出不同地区和气候情景的混合结果。到本世纪末，与今天相比，在低排放情景（SSP1-2.6）下，预计资源潜力的平均变化范围约为+ 1 %至+ 18 %，而在高排放情景（SSP5-8.5）下，根据区域的不同，变化范围约为- 7 %至+ 38 %。在全国范围内，平均可用性预计将上升5.7% % （SSP1-2.6）和8.6% % （SSP5-8.5）。然而，这些平均值掩盖了严重的局部下降，特别是在北极和东海岸的部分地区，那里的资源可用性可能减少高达50% %。这种下降可能直接影响主要在土著社区从事渔业和水产养殖部门工作的大约6000人的生计。这些发现表明，需要建立地方、区域和国家的气候适应性政策框架，优先支持沿海社区，培养包容性领导，促进利益和责任的公平，并确保依赖海洋的生计和生态系统的长期可持续性。

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引用次数: 0

Estuarine structure and connectivity influence seasonal and spatial shifts in the food web structure of fish assemblages 河口结构和连通性影响鱼类群落食物网结构的季节和空间变化

IF 2.4 4区环境科学与生态学 Q3 ECOLOGY

Regional Studies in Marine Science

Pub Date : 2026-01-26 DOI: 10.1016/j.rsma.2026.104806

Edgar Abraham Aragón-Flores , Rocío Rodiles-Hernández , Miriam Soria-Barreto , Matteo Cazzanelli , Carmen G. Montaña , María M. Castillo

Estuarine food webs are shaped by connectivity with adjacent ecosystems and seasonal hydrological changes that influence resource availability and trophic structure. In this study, we used stable isotopes (δ¹³C and δ¹⁵N) to evaluate the food web structure of fish assemblages in two tropical estuarine lagoon systems in the southern Gulf of Mexico that differ in freshwater and marine connectivity. Stable isotope diversity metrics were applied to assess spatial and seasonal variation in isotopic niche structure and to estimate trophic similarity between resident and marine transient fish groups. Our results indicated marked spatial differences in food web structure between systems. In the Pom-Atasta system, fish assemblages exhibited longer food web chains, greater diversity of assimilated resources, and higher trophic diversity and specialization. In contrast, fish assemblages in the Palizada del Este system reflected stronger hydrological connectivity, characterized by lower carbon isotope values, higher nitrogen isotope values, and more uniform resource use. Seasonal patterns were consistent across both systems: during the rainy season, consumers displayed greater trophic specialization, whereas during the “nortes” season, carbon isotope values were lower and trophic similarity between resident and marine transient fishes increased. Overall, spatial variation in food web structure highlights the complexity of ecosystem functioning in estuarine lagoon systems and reflects differences in geomorphological configuration, autochthonous productivity, and freshwater–marine connectivity. Seasonal changes underscore the importance of resource inputs associated with the flood pulse from the Usumacinta Basin in these estuarine ecosystems.

河口食物网是由与邻近生态系统的连通性和影响资源可用性和营养结构的季节性水文变化形成的。在这项研究中，我们使用稳定同位素（δ13C和δ15N）来评估墨西哥湾南部两个淡水和海洋连通性不同的热带河口泻湖系统中鱼类组合的食物网结构。稳定同位素多样性指标被应用于评估同位素生态位结构的空间和季节变化，并估计居民和海洋洄游鱼类群体之间的营养相似性。我们的研究结果表明，不同系统之间的食物网结构存在显著的空间差异。在Pom-Atasta系统中，鱼类群落表现出更长的食物链、更大的同化资源多样性、更高的营养多样性和专业化。相比之下，Palizada del Este系统的鱼类组合具有较强的水文连通性，其特征是碳同位素值较低，氮同位素值较高，资源利用更均匀。季节模式在两个系统中是一致的：在雨季，消费者表现出更大的营养专业化，而在“北风”季节，碳同位素值较低，居民和海洋洄游鱼类之间的营养相似性增加。总体而言，食物网结构的空间变化突出了河口泻湖系统生态系统功能的复杂性，反映了地貌配置、本地生产力和淡水-海洋连通性的差异。季节变化强调了与乌苏马辛塔盆地洪水脉冲相关的资源投入在这些河口生态系统中的重要性。

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引用次数: 0