Journal of Marine Systems最新文献_第7页

Diagnostic early freeze onset in the Bering Sea 在白令海诊断早期冻结开始

IF 2.5 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Journal of Marine Systems

Pub Date : 2025-07-17 DOI: 10.1016/j.jmarsys.2025.104106

Weibo Wang , Jie Su , Junpeng Zhang , Rui Ding , Chunsheng Jing , Xiaogang Guo

Sea ice cover exerts critical influence on oceanic, atmospheric, and ecological processes in the Bering Sea. As a fundamental indicator of ice formation, diagnostic research on Early Freeze Onset (EFO) characteristics remains limited. This study examines the spatiotemporal patterns and underlying mechanisms governing the Bering Sea EFO from 2003 to 2021, leveraging the latest microwave remote sensing dataset. The annual EFO in the Bering Sea exhibits a temporal evolution characterized by positive anomalies (2003−2013) followed by marked negative anomalies (2014–2021). Spatially, the most pronounced contrast between the two periods occurs over the continental shelf south of St. Lawrence Island. A spatial restructuring of EFO beginning in 2014—particularly its shift from positive to negative anomalies on the northern Bering Sea shelf—drives the observed temporal variability. This spatial shift stems from preceding meridional sea surface temperature gradient anomalies, triggering a regime shift in Bering Sea warm advection from negative forcing (2003–2013) to positive forcing (2014–2021). Notably, frequent marine heatwave events during 2014–2021 cause abnormal pre-freeze SST warming in southern St. Lawrence Island waters, compounded by suppressed northward heat export. This dual process amplified heat accumulation, ultimately resulting in earlier EFO. This study emphasizes the need to strengthen research on marine heatwaves in the future, and comprehend the repercussions of EFO on ecosystems, fisheries, and local community livelihoods, to devise adaptive management strategies and policies.

海冰覆盖对白令海的海洋、大气和生态过程具有重要影响。作为冰形成的基本指标，早期冻发（EFO）特征的诊断研究仍然有限。利用最新的微波遥感数据，研究了2003 - 2021年白令海EFO的时空格局和潜在机制。白令海年EFO呈现出先正异常（2003 ~ 2013年）后显著负异常（2014 ~ 2021年）的时间演化特征。在空间上，两个时期之间最明显的对比发生在圣劳伦斯岛以南的大陆架上。2014年开始的EFO空间重构——特别是白令海北部陆架从正异常到负异常的转变——驱动了观测到的时间变率。这种空间变化源于之前经向海面温度梯度异常，导致白令海暖平流由负强迫（2003-2013年）向正强迫（2014-2021年）转变。值得注意的是，2014-2021年期间频繁的海洋热浪事件导致圣劳伦斯岛南部海域异常的冻结前海温变暖，同时抑制了向北的热量输出。这一双重过程放大了热量积累，最终导致早期EFO。本研究强调未来有必要加强对海洋热浪的研究，并了解EFO对生态系统、渔业和当地社区生计的影响，以制定适应性管理战略和政策。

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引用次数: 0

Drivers of the unprecedented coastal marine heatwaves along Fujian and Zhejiang provinces, China 中国福建和浙江沿海前所未有的海洋热浪的驱动因素

IF 2.7 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Journal of Marine Systems

Pub Date : 2025-07-16 DOI: 10.1016/j.jmarsys.2025.104108

Yulong Yao , Yuwei Hu , Chuanming Hu , Chunzai Wang , Wenwen Yu

In recent decades, coastal marine heatwaves (MHWs) have intensified due to global warming, causing severe impacts on coastal marine ecosystems. In September and October 2021, significant reductions in seaweed production were observed along the coasts of Fujian (−19.23 %) and Zhejiang (−3.27 %) Provinces in China, which may be related to unprecedented coastal MHWs. This study utilizes three high-resolution satellite sea surface temperature (SST) datasets together with oceanic and atmospheric reanalysis products to examine the characteristics and mechanisms of these MHWs. Our analysis reveals that the record-breaking MHWs occurred primarily from September 21 to October 23, with an average intensity of up to 4 °C and lasting nearly the entire month of October. Mixed layer heat budget assessments indicate that net surface heat flux was the key factor influencing temperature changes (Corr = 0.71, p < 0.01). The positive net surface heat flux in September, driven by increased solar shortwave radiation, resulted from the intensification and westward expansion of the western Pacific subtropical high (WPSH). We emphasize that understanding the mechanisms behind the anomalous WPSH in autumn is vital for mitigating climate risks to seaweed production along the Fujian and Zhejiang coasts in the context of global warming.

近几十年来，由于全球变暖，沿海海洋热浪加剧，对沿海海洋生态系统造成了严重影响。2021年9月和10月，中国福建省（- 19.23%）和浙江省（- 3.27%）沿海的海藻产量显著减少，这可能与前所未有的沿海强热带风暴有关。本研究利用3个高分辨率卫星海表温度（SST）数据集，结合海洋和大气再分析产品，研究了这些强震的特征和机制。我们的分析表明，破纪录的MHWs主要发生在9月21日至10月23日，平均强度高达4°C，几乎持续整个10月。混合层热收支评估表明，净地表热通量是影响温度变化的关键因素(Corr = 0.71, p <；0.01)。西太平洋副热带高压（WPSH）的增强和向西扩展导致9月地表净热通量为正，主要受太阳短波辐射增加的驱动。我们强调，在全球变暖的背景下，了解秋季海面高度异常背后的机制对于减轻福建和浙江沿海海藻生产的气候风险至关重要。

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引用次数: 0

Exploring upwelling phenology and high-frequency hydrographic variability in the Humboldt Archipelago during winter-spring transition and La Niña conditions 在冬春过渡和La Niña条件下探索洪堡群岛上升流物候和高频水文变化

IF 2.7 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Journal of Marine Systems

Pub Date : 2025-07-11 DOI: 10.1016/j.jmarsys.2025.104105

Victor M. Aguilera , Linda M. Barranco , Lucas Glasner , Matías Pizarro-Koch , Cristian A. Vargas

The upwelling system off Coquimbo in central-northern Chile (29–30°S) provides multiple ecosystem services, including the high biodiversity in the Humboldt Archipelago, which benefits human well-being. The influence of upwelling in the archipelago, along with other high-frequency processes that lead to changes in temporal hydrographic conditions (temperature, pH, and oxygen), may have profound effects on the functioning of this ecosystem. In this study, we explored the upwelling phenology (frequency, magnitude, and duration of upwelling events), together with high-frequency variability analyses (semidiurnal, daily, and synoptic), and the vertical structure of the water column in the archipelago from August to November 2022. This period corresponded to the austral winter-spring transition of 2022, which also marked the end of a prolonged La Niña event, during which four months of continuous surface wind and surface (10 m) and subsurface (30 m) hydrographic measurements were analyzed along with four hydrographic surveys. Upwelling events observed throughout the study period promoted negative hydrographic anomalies in temperature (−1.1 °C), oxygen (−79 μmol kg⁻¹), and pH (−0.18 pH_NBS), sometimes lasting up to a week. The synoptic scale dominated the hydrographic variability during the winter (48 % of the variance), whereas the diurnal component became more significant during the spring (37 % of the variance), likely due to higher solar radiation and wider pH/oxygen cycles. Moderated by phytoplankton biomass, low pH (< 7.8 pH_NBS) and hypoxic conditions (< 60 μmol kg⁻¹) prevailed below 30 m depth in the archipelago throughout the study period. Further studies may address the influence of this environmental variability on biological processes related to the productivity of the Humboldt Archipelago.

智利中北部（南纬29-30°）科金博外海的上升流系统提供了多种生态系统服务，包括洪堡群岛的高生物多样性，这有利于人类福祉。群岛上升流的影响，以及导致时间水文条件（温度、pH值和氧气）变化的其他高频过程，可能对该生态系统的功能产生深远影响。在这项研究中，我们探索了上升流物候（频率、强度和持续时间），以及高频变异性分析（半日、日和天气），以及2022年8月至11月群岛水柱的垂直结构。这一时期对应于2022年的南方冬春过渡，这也标志着一个延长的La Niña事件的结束，在此期间，我们分析了四个月的连续地面风和地面（10米）和地下（30米）水文测量以及四次水文测量。在整个研究期间观测到的上升流事件导致了温度（−1.1°C）、氧气（−79 μmol kg−1）和pH（−0.18 pHNBS）的负水文异常，有时持续长达一周。天气尺度在冬季主导了水文变化（占方差的48%），而日分量在春季变得更加显著（占方差的37%），可能是由于更高的太阳辐射和更宽的pH/氧循环。受浮游植物生物量调节，低pH (<；7.8 pHNBS)和缺氧条件(<；在整个研究期间，群岛30 m以下以60 μmol kg−1居多。进一步的研究可能会解决这种环境变化对与洪堡群岛生产力有关的生物过程的影响。

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引用次数: 0

Spatiotemporal variations in Zhe-Min Coastal Fronts in the East China Sea in winter by deep learning 基于深度学习的东海浙闵沿海锋冬季时空变化

IF 2.7 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Journal of Marine Systems

Pub Date : 2025-07-10 DOI: 10.1016/j.jmarsys.2025.104104

Qiang Lian, Xihong Jian, Tengfei Li, Shuwen Zhang, Jin Feng, Zhaoyun Chen

Oceanic fronts are crucial for marine ecology and the environment due to their vigorous mixing, high productivity, and abundant fishery resources. In this study, the Zhe-Min Coastal Front (ZMCF) in the East China Sea is identified from remote sensing Sea Surface Temperature (SST) images using a combination of the Belkin O'Reilly Algorithm and a deep learning network, addressing the shortcomings of traditional front gradient algorithms. The Ringed Residual U-Net network excels in detecting the ZMCF, particularly in discontinuous, fragmented, and multi-branch fronts. After detecting the ZMCF areas, the monthly variations in SST gradient, front probability, and offshore distance of the ZMCF are analyzed for winter. An empirical orthogonal function (EOF) method is employed to capture the dominant mode of spatiotemporal variations in the ZMCF probability, demonstrating that the cross-shore movement of the ZMCF is closely related to the magnitude of the northerly wind. Under the conditions of the low phase of the Pacific Decadal Oscillation, the intensified ZMCF is trapped near the coast, driven by strong northerly wind during La Niña years. El Niño events exert the opposite effect.

海洋锋区混合剧烈、生产力高、渔业资源丰富，对海洋生态环境具有重要意义。本文针对传统海锋梯度算法的不足，采用Belkin O'Reilly算法和深度学习网络相结合的方法，从遥感海温（SST）图像中识别出东海浙民海锋（ZMCF）。环形残余U-Net网络在检测ZMCF方面表现出色，特别是在不连续，碎片化和多分支前沿。通过对ZMCF区域的探测，分析了冬季ZMCF海温梯度、锋面概率和离岸距离的月变化。利用经验正交函数（EOF）方法捕捉了ZMCF概率时空变化的主导模态，表明ZMCF的跨岸运动与北风强度密切相关。在La Niña年太平洋年代际涛动低相条件下，增强的ZMCF被困在海岸附近，受强烈的偏北风驱动。El Niño事件则产生相反的效果。

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引用次数: 0

Traits associated with food web structure in lagoon and reef ecosystems 泻湖和珊瑚礁生态系统中与食物网结构相关的特征

IF 2.7 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Journal of Marine Systems

Pub Date : 2025-07-10 DOI: 10.1016/j.jmarsys.2025.104095

Ana Luisa Avelino Brito , Tibor Kalapos , Ferenc Jordán , Katalin Patonai

The oceans are currently facing multiple anthropogenic threats, such as overexploitation, pollution, habitat destruction, and climate change. To address these challenges, ecological indicators are needed to monitor the impact of human activities and assess the effectiveness of conservation measures. Food web topology captures the entire community structure, providing systems-based indicators of ecological status rather than monitoring single species and their composition. In this study, the association between functional organismic traits and topological indices describing the food web structure was tested by using network analysis in 4 reef and 15 lagoon Ecopath with Ecosim models. We aimed to understand if traits and conservation status can be linked with specific network position of a node. We analyzed 3 traits (diet, fertilization type, substratum), conservation status, and 18 topological indices. The results showed at least two significant associations for each trait. Conservation status, fertilization type, and diet displayed more distinct aggregations, being relevant in explaining food web structure. Conservation status aggregated top predators in a risk position (endangered or vulnerable) and also those with fewer network connections. Fertilization type (external, internal, or asexual) could be considered a good grouping trait. Diet has the highest coverage and revealed expected patterns, which can be very helpful for environmental predictions under disturbances, using the trait-based approach. Substratum is the least useful trait for this approach. The associations of ecological traits and topological indices in lagoon and reef food webs might help in conservation “ecosystem-based” management decision-making and prioritization.

海洋目前正面临多重人为威胁，如过度开发、污染、栖息地破坏和气候变化。为了应对这些挑战，需要生态指标来监测人类活动的影响并评估保护措施的有效性。食物网拓扑捕捉整个群落结构，提供基于系统的生态状况指标，而不是监测单一物种及其组成。本研究利用Ecosim模型对4个珊瑚礁和15个泻湖生态生物进行网络分析，验证了功能生物性状与描述食物网结构的拓扑指标之间的相关性。我们的目的是了解性状和保护状态是否与节点的特定网络位置有关。分析了3个性状（日粮、施肥类型、基质）、保存状况和18个拓扑指标。结果显示，每个性状至少有两个显著的关联。保护状况、受精类型和饮食表现出更明显的聚集，这与解释食物网结构有关。保护状态汇总了处于危险位置（濒危或脆弱）的顶级捕食者以及网络连接较少的捕食者。受精类型（外部、内部或无性）可以被认为是一个很好的群体性状。饮食具有最高的覆盖率和揭示的预期模式，这对使用基于特征的方法进行干扰下的环境预测非常有帮助。基质是这种方法最没用的特征。泻湖和珊瑚礁食物网的生态特征和拓扑指数的关联可能有助于保护“基于生态系统”的管理决策和优先排序。

{"title":"Traits associated with food web structure in lagoon and reef ecosystems","authors":"Ana Luisa Avelino Brito , Tibor Kalapos , Ferenc Jordán , Katalin Patonai","doi":"10.1016/j.jmarsys.2025.104095","DOIUrl":"10.1016/j.jmarsys.2025.104095","url":null,"abstract":"<div><div>The oceans are currently facing multiple anthropogenic threats, such as overexploitation, pollution, habitat destruction, and climate change. To address these challenges, ecological indicators are needed to monitor the impact of human activities and assess the effectiveness of conservation measures. Food web topology captures the entire community structure, providing systems-based indicators of ecological status rather than monitoring single species and their composition. In this study, the association between functional organismic traits and topological indices describing the food web structure was tested by using network analysis in 4 reef and 15 lagoon Ecopath with Ecosim models. We aimed to understand if traits and conservation status can be linked with specific network position of a node. We analyzed 3 traits (diet, fertilization type, substratum), conservation status, and 18 topological indices. The results showed at least two significant associations for each trait. Conservation status, fertilization type, and diet displayed more distinct aggregations, being relevant in explaining food web structure. Conservation status aggregated top predators in a risk position (endangered or vulnerable) and also those with fewer network connections. Fertilization type (external, internal, or asexual) could be considered a good grouping trait. Diet has the highest coverage and revealed expected patterns, which can be very helpful for environmental predictions under disturbances, using the trait-based approach. Substratum is the least useful trait for this approach. The associations of ecological traits and topological indices in lagoon and reef food webs might help in conservation “ecosystem-based” management decision-making and prioritization.</div></div>","PeriodicalId":50150,"journal":{"name":"Journal of Marine Systems","volume":"251 ","pages":"Article 104095"},"PeriodicalIF":2.7,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144653213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Recent decline of sea ice area in the Bohai Sea over the period 2001 to 2023 2001 ~ 2023年渤海海冰面积的近期减少

IF 2.7 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Journal of Marine Systems

Pub Date : 2025-06-30 DOI: 10.1016/j.jmarsys.2025.104089

Zhikun Lin , Yu Yan , Yingjun Xu , Qingkang Hou , Jialin Zhang , Jiayu Ding

The Bohai Sea, China's northernmost sea, experiences sea ice during winter that impacts shipping, ports, mariculture, and infrastructure, while also serving as vital habitat for the spotted seal. Monitoring sea ice variability is crucial for both marine economic and ecological sustainability. This study utilizes MODIS satellite images with minimal or no cloud cover and employs a sample-based object-oriented feature extraction method, along with visual interpretation corrections, to construct a daily (though discontinuous) time series of sea ice area in the Bohai Sea from 2001 to 2023. The average sea ice area decreased by 0.15 × 10⁴ km² (16.36 %) from 2001–2010 to 2011–2023. The longer initial freezing period (∼5 weeks) and shorter melting period (∼3 weeks) show an asymmetric unimodal pattern in daily average sea ice area variation. The severe freezing phase lasts nearly 6 weeks, typically reaching its peak in late January or early February. Spatially, sea ice freezing frequency decreases from north to south and nearshore to offshore, with frequencies above 40 % concentrated along the northern and eastern coasts of Liaodong Bay. The overall trend of sea ice freezing frequency per pixel shows a decline in 56.98 % of the entire sea area, with an average rate of −0.16 %. The trend of freezing frequency is declining in Liaodong Bay (−0.25 %) and Bohai Bay (−0.10 %) but slightly increasing in Laizhou Bay (0.02 %). Local climate factors, including air temperature, northward wind, and surface sensible heat flux, play a crucial role in sea ice variation in the Bohai Sea, while the AO (r = −0.71, p < 0.01) and NAO (r = −0.61, p < 0.01) indices serve as important large-scale climatic factors.

渤海是中国最北端的海域，冬季会出现海冰，影响航运、港口、海水养殖和基础设施，同时也是斑海豹的重要栖息地。监测海冰变化对海洋经济和生态可持续性都至关重要。本研究利用少云和无云的MODIS卫星影像，采用基于样本的面向对象特征提取方法，结合目视解译校正，构建了2001 - 2023年渤海海冰面积的日（不连续）时间序列。从2001-2010年到2011-2023年，平均海冰面积减少了0.15 × 104 km2（16.36%）。较长的初始冻结期（~ 5周）和较短的融化期（~ 3周）在日平均海冰面积变化中表现出不对称的单峰型。严寒期持续近6周，通常在1月底或2月初达到高峰。从空间上看，海冰冻结频率由北向南、近岸向近海递减，40%以上的频率集中在辽东湾北部和东部沿海。海冰冻结频率每像元的总体趋势为下降56.98%，平均下降幅度为- 0.16%。辽东湾（- 0.25%）和渤海湾（- 0.10%）冻结频率呈下降趋势，莱州湾略有上升（0.02%）。气温、北风和地表感热通量等局地气候因子在渤海海冰变化中起重要作用，AO (r = - 0.71, p <；0.01)和NAO (r = - 0.61, p <；0.01)指数是重要的大尺度气候因子。

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引用次数: 0

The influence of wave-current interaction on sea ice modelling of the Bohai Sea 波流相互作用对渤海海冰模拟的影响

IF 2.7 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Journal of Marine Systems

Pub Date : 2025-06-29 DOI: 10.1016/j.jmarsys.2025.104090

Sheng Wang , Xueen Chen , Peng Zheng , Bin Jia

A sea ice model considering wave-current interaction (WCI) was constructed on the basis of the FVCOM, CICE, and Un-SWAN models for the Bohai Sea. The influence of WCI on sea ice formation and melting in the Bohai Sea during the winter of 2015/2016 was investigated. The results show that the WCI mainly affect the concentration and thickness of sea ice in the Bohai Sea. During the ice melting period, the WCI significantly increased the surface water velocity and sea ice melting rate of the Bohai Sea. The mechanism by which WCI affect the ice melting process is as follows: The non–conservative force(F^w) induced by WCI changes the amplitude and direction of the water velocity. During the ice melting period, the direction of F^w is nearly the same as the direction of the sea surface current in the marginal ice zone of Liaodong Bay, which consequently enhances the surface water current as well as its drag force on the sea ice, such processes accelerate sea ice advection and sea ice melting, and the white-capping breaking term plays a dominant role in the F^w. In the sea ice-covered areas, the presence of sea ice affects the propagation of waves, resulting in different degrees of wave height reduction. When the sea ice concentration is lower, the influence of sea ice on the structure and velocity of the current is more significant. From a thermodynamic perspective, when WCI are considered, the mixed layer depth (MLD) can increase by up to 15 m during the growth period, and the HC of the mixed layer can increase by up to 5000 GJ/m².

在FVCOM、CICE和Un-SWAN模型的基础上，建立了考虑波流相互作用的渤海海冰模型。研究了2015/2016年冬季WCI对渤海海冰形成和融化的影响。结果表明，WCI主要影响渤海海冰的浓度和厚度。在融冰期，WCI显著提高了渤海的地表水流速和海冰融化速率。WCI影响冰融过程的机理是：WCI诱导的非保守力（Fw）改变了水流速的幅度和方向。在融冰期，Fw的方向与辽东湾边缘冰带的海流方向基本一致，从而增强了表层水流及其对海冰的阻力，加速了海冰平流和海冰融化，白盖断裂项在Fw中起主导作用。在海冰覆盖地区，海冰的存在影响了波浪的传播，导致不同程度的波高降低。当海冰浓度较低时，海冰对洋流结构和流速的影响更为显著。从热力学角度来看，当考虑WCI时，混合层深度（MLD）在生长期间可增加15 m，混合层的HC可增加5000 GJ/m2。

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引用次数: 0

Dynamics of the Iokanga River plume according to SAR and optical satellite data 根据SAR和光学卫星资料的Iokanga河羽流动力学

IF 2.7 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Journal of Marine Systems

Pub Date : 2025-06-26 DOI: 10.1016/j.jmarsys.2025.104093

Aleksandr Konik , Alexander Osadchiev

The Iokanga River is one of the largest rivers of the Kola Peninsula, discharging into the southwestern part of the Barents Sea and the northern part of the White Sea. The outflows from the Iokanga River and other regional rivers form a freshened coastal water mass, which extends eastward as the Coastal Murmansk Current. However, the dynamics and variability of small river plumes, which represent a transitional form between river discharge and the coastal water mass, remain practically unexplored in this region. In this study, based on high-resolution synthetic aperture radar (SAR) and optical images, the spatial characteristics of the Iokanga plume were examined and its dynamics were analyzed during the ice-free period. The study provides an assessment of external hydrometeorological factors and their contribution to the variability of the plume positions on various time scales. Notably, a key contribution of tidal currents to the formation of the intra-daily variability of the plume was established, which is nontypical for the majority of river plumes in the Arctic Ocean. The current work also describes the main characteristics of submesoscale eddies in the Iokanga plume and analyzes the mechanisms of their formation. The obtained results are crucial for understanding the process of coastal water mass formation in the southwestern Barents Sea and for identifying potential pathways for river-borne contaminant spread. From a methodological perspective, this work may be valuable for studying the characteristics of small river plumes using SAR and optical satellite data in coastal regions, which are poorly covered by in situ measurements.

Iokanga河是科拉半岛最大的河流之一，流入巴伦支海的西南部和白海的北部。从Iokanga河和其他地区河流流出的水形成了一个新鲜的沿海水团，向东延伸成为沿海摩尔曼斯克流。然而，作为河流流量和海岸水团之间过渡形式的小河流羽流的动力学和变异性在该地区仍未得到充分的研究。基于高分辨率合成孔径雷达（SAR）和光学图像，研究了Iokanga羽流在无冰期的空间特征，并对其动力学进行了分析。该研究提供了外部水文气象因子及其在不同时间尺度上对羽流位置变化的贡献的评估。值得注意的是，建立了潮流对羽流日内变化形成的关键贡献，这对于北冰洋大多数河流羽流来说是不典型的。目前的工作还描述了Iokanga羽流的亚中尺度涡旋的主要特征，并分析了其形成机制。所获得的结果对于理解巴伦支海西南部沿海水团形成的过程以及确定河流传播污染物的潜在途径至关重要。从方法学的角度来看，这项工作可能对利用SAR和光学卫星数据在沿海地区研究小河流羽流的特征有价值，这些地区很少被现场测量覆盖。

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引用次数: 0

Seasonal and spatial variability and mechanisms of suspended sediment concentration in the Yellow River mouth and adjacent waters 黄河口及邻近水域悬沙浓度的季节和空间变化及其机制

IF 2.7 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Journal of Marine Systems

Pub Date : 2025-06-26 DOI: 10.1016/j.jmarsys.2025.104092

Mengyuan Tao , Tao Wang , Zhixing Chen , Gaibo Zhao , Chenzhuo Song , Changwei Bian , Wensheng Jiang

Suspended sediment concentration (SSC) plays a critical role in the ecological and geomorphological dynamics of coastal environments, particularly in river mouths where sediment fluxes are substantial. This study focuses on the Yellow River (YR) mouth and its adjacent waters, which is one of the coastal areas with the highest SSC in the world. Although some efforts have been made to understand the seasonal and spatial variability and mechanisms of SSC in this region, gaps remain, particularly in understanding the spatial disparity in high SSC distributions and its dynamic mechanisms. To address these gaps, observations based on four research cruises and numerical model simulations based on the Regional Oceanic Modeling System (ROMS) are conducted to study the variability and mechanisms of SSC. The findings reveal that SSC in the YR mouth and adjacent waters exhibits significant seasonal variability, with higher concentrations during winter due to stronger wind-induced resuspension. Two key hot-spots are identified: the YR mouth and the southern Bohai Strait. The high SSC is attributed to horizontal transport of riverine input and resuspension of bottom sediments in the YR mouth, and is mainly induced by bottom resuspension in the southern Bohai Strait. Additionally, tidal velocity is identified as a primary driver of SSC variations throughout the tidal cycle, with tidal phases of the observation time significantly influencing observed SSC and introducing uncertainty in spatial distribution analyses based on cruise observations. The current- and wave- induced bottom shear stresses (BSSs) both play primary roles in sediment resuspension, while the wave-induced BSS dominates the seasonal variability of SSC. The results are expected to contribute to advancing the understanding of sediment dynamics in river mouth and its adjacent waters.

悬沙浓度（SSC）在沿海环境的生态和地貌动力学中起着至关重要的作用，特别是在泥沙通量较大的河口。本研究以黄河河口及其邻近海域为研究对象，该海域是世界上SSC最高的沿海地区之一。虽然对该地区南盐含量的季节和空间变化及其机制已经有了一定的了解，但在了解南盐含量高分布的空间差异及其动力机制方面仍然存在空白。为了弥补这些空白，利用4个研究巡航的观测和基于区域海洋模拟系统（ROMS）的数值模式模拟来研究SSC的变率及其机制。研究结果表明，YR口和邻近水域的SSC具有显著的季节变化，冬季由于风引起的再悬浮更强，SSC浓度更高。确定了两个关键热点：YR口和渤海海峡南部。高SSC是由河流输入的水平输送和YR河口底部沉积物的再悬浮引起的，主要是由渤海海峡南部的底部再悬浮引起的。此外，潮汐速度被认为是整个潮汐周期中SSC变化的主要驱动因素，观测时间的潮汐阶段显著影响观测到的SSC，并在基于巡航观测的空间分布分析中引入不确定性。在沉积物再悬浮过程中，海流和波浪引起的底部切应力（BSSs）都起主要作用，而波浪引起的底部切应力（BSSs）在SSC的季节变化中起主导作用。研究结果将有助于进一步认识河口及其邻近水域的泥沙动力学。

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引用次数: 0

Progress in nutrient dynamics of green tide in the Yellow Sea of China 中国黄海绿潮营养动态研究进展

IF 2.7 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Journal of Marine Systems

Pub Date : 2025-06-26 DOI: 10.1016/j.jmarsys.2025.104091

Tingting Wu , Jingyi Sun , Hongtao Liu , Fangling Bi , Jianheng Zhang , Peimin He

The green tide outbreak of Ulva prolifera (U. prolifera) in the Yellow Sea of China is one of the most significant green tide disasters worldwide. The abundant nutrients in the Yellow Sea provide the essential material basis for these outbreaks, as U. prolifera rapidly absorbs and stores these nutrients. Recent studies have identified genes in the U. prolifera genome that encode inorganic nitrogen transport proteins, and the nitrogen metabolism pathway of U. prolifera has been elucidated. This paper reviews the sources of nutrients in the Yellow Sea, analyzes their impact on the physiology of U. prolifera, and explores their influence on U. prolifera gene expression. Additionally, the study utilizes CiteSpace software to summarize research hotspots and trends related to nutrient. Based on these insights, the paper offers suggestions and prospects for future research directions, aiming to contribute new ideas for predicting, preventing, and controlling green tide outbreaks.

中国黄海增生Ulva prolifera （U. prolifera）绿潮爆发是全球最严重的绿潮灾害之一。黄海丰富的营养物质为这些疾病的爆发提供了必要的物质基础，因为增生乌菌能迅速吸收和储存这些营养物质。近年来的研究已经在增殖藻基因组中发现了编码无机氮转运蛋白的基因，并初步阐明了增殖藻的氮代谢途径。本文综述了黄海营养物质的来源，分析了营养物质对增殖藻生理的影响，并探讨了营养物质对增殖藻基因表达的影响。此外，本研究利用CiteSpace软件对营养相关的研究热点和趋势进行了总结。在此基础上，对未来的研究方向提出了建议和展望，旨在为绿潮暴发的预测、预防和控制提供新的思路。

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