Paper Push: 2026-07-06
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每日论文推送：BGC-Argo、海色/海洋光学、海洋热浪与碳泵Daily Paper Push: BGC-Argo, ocean colour/ocean optics, marine heatwaves and carbon pump
本期由 GitHub Actions 自动检索生成：Nature/Science 系列优先，其次是用户指定重点期刊，再补充重点关注团队的新论文，最后纳入其他相关期刊；历史去重后保留 5 篇，不超过每日 50 篇上限。 This issue was generated automatically by GitHub Actions: Nature and Science series first, then the user-defined priority journals, then new papers from the focused team, followed by other relevant journals as topical supplements. After deduplication, 5 papers remain, below the daily limit of 50.
Download Word summary
无 mechanism sketch 图。今天的意大利语卡片： No mechanism sketch figure today. Daily Italian card:
每日一句意大利语Daily Italian
Dolce color d'oriental zaffiro.
Dante, Commedia, Purgatorio I, 13; Italian original from Kalliope
《炼狱篇》开头的天空颜色，像东方蓝宝石一样清甜。它与《地狱篇》的黑暗形成鲜明转场。
At the opening of Purgatorio, the sky has the sweet color of oriental sapphire. It is a radiant transition out of Inferno's darkness.
趋势总结Trend Summary
本期重点关注 BGC-Argo、海色遥感/海洋光学、海洋热浪、浮游植物垂向结构和碳泵过程。筛选逻辑不再只限于重点期刊；当高影响力期刊当天新增较少时，会额外检索重点关注团队作者的新论文，并用海洋、海色/光学和碳循环关键词过滤，再从其他相关期刊补充候选论文。
This issue focuses on BGC-Argo, ocean-colour remote sensing, ocean optics, marine heatwaves, vertical phytoplankton structure and carbon-pump processes. The selection is no longer limited to priority journals; when few high-impact papers are newly available, the workflow also checks focused-team authors and filters those papers with ocean, ocean-colour/optics, and carbon-cycle keywords before adding other relevant journals as supplements.
重点期刊：按影响力和相关性排序Key journals: ordered by impact and relevance
1. Attention enhanced 3D-U-Net+ + ocean temperature and salinity reconstruction in the northwestern Pacific based on transfer learning
作者Authors: Hao Wang; Linlin Zhang; Shuguo Yang; Xiaomei Yan; Zhen Li
发表月份Publication month: 2026-07 2026-07
Earth System Science Data · DOI: 10.5194/essd-18-4617-2026
关键词Tags: vertical structure vertical structure
摘要：实时、准确的三维海洋温度-盐度（T-S）场对于深入了解海洋动力学和提高数值模式的预测能力具有重要意义。然而，当前的海洋观测，特别是海面以下的观测，在时间和空间分辨率方面仍然受到很大的限制。人们提出了几种利用多源卫星数据进行水下温度和盐度重建的神经网络方法，实现了实时温度和盐度重建，但它们相对于现场观测的偏差仍然很大。 本研究重点关注西北太平洋地区（北纬0-40°，东经120-160°），提出了一种注意力增强型三维U-Net++模型，该模型利用实时可用海面温度（SST）和海面高度（SSH）数据重建日常T-S场（26层，1/4°分辨率，5-2000米深度）。该模型引入了跨尺度特征聚合和选择性信息门控，使其能够强调与地下变化最相关的时间相干表面特征，同时抑制噪声传播和过度平滑。通过整合连续 26 天的 SST 和 SSH 作为输入，该模型有效地缓解了将有限的表面观测映射到全深度结构的不确定问题。 此外，还采用了两阶段迁移学习策略：首先使用每月的SST/SSH数据和网格化的Argo数据对模型进行预训练，以学习观测主导的低频时空模式，然后使用每日的SST/SSH数据和高分辨率再分析进行微调以捕获中尺度动态过程。评估结果表明，无论是在验证期间还是在长期统计分析中，重建的T-S场与世界海洋数据库的原位T-S剖面比以前的研究更加吻合，这表明该方法对于地下海洋场重建是可靠和准确的。重建的 T-S 场可在 https://doi 上获得。 org/10. 57760/sciencedb。 31950（王等人，2025）。
Abstract: Real-time and accurate three-dimensional ocean temperature–salinity (T–S) field are of great significance for a deeper understanding of ocean dynamics and prediction skill improvement of numerical models. However, current ocean observations, especially those below the sea surface, still suffer from significant limitations in temporal and spatial resolution. Several neural network methods using multi-source satellite data for underwater temperature and salinity reconstruction have been proposed, achieving real-time temperature and salinity reconstruction, but their biases relative to in-situ observations are still significant. This study focuses on the northwestern Pacific region (0–40° N, 120–160° E) and proposes an attention-enhanced three dimensional U-Net++ model, which reconstructs daily T–S fields (26 layers, 1/4° resolution, 5–2000 m depth) using real-time available sea surface temperature (SST) and sea surface height (SSH) data. The model introduces cross-scale feature aggregation and selective information gating, allowing it to emphasize temporally coherent surface features most relevant to subsurface variability, while suppressing noise propagation and over-smoothing. By integrating 26 consecutive days of SST and SSH as inputs, the model effectively alleviates the underdetermined problem of mapping limited surface observations to full-depth structures. In addition, a two-stage transfer learning strategy is employed: the model is first pretrained using monthly SST/SSH data and the gridded Argo data to learn observation-dominated low-frequency spatiotemporal patterns, and then fine-tuned using daily SST/SSH data and the high-resolution reanalysis to capture the meso-scale dynamic processes. Evaluation results show that the reconstructed T–S fields agree better with in-situ T–S profiles from World Ocean Database than previous studies, both during the validation period and in long-term statistical analyses, suggesting that the proposed approach is reliable and accurate for subsurface ocean field reconstruction. The reconstructed T–S field is available at https://doi.org/10.57760/sciencedb.31950 (Wang et al., 2025).
2. Ocean acidification alters phytoplankton diversity and community structure in the coastal water of the East China Sea
作者Authors: Yuming Rao; Na Wang; He Li; Jiazhen Sun; Xiaowen Jiang; Di Zhang; Liming Qu; Qianqian Fu; et al.
发表月份Publication month: 2026-07 2026-07
Biogeosciences · DOI: 10.5194/bg-23-4515-2026
关键词Tags: phytoplankton phytoplankton
摘要：人为二氧化碳排放及其持续溶解到海水中导致海水二氧化碳分压上升和海洋酸化（OA）。已知浮游植物群受到与 OA 相关的碳酸盐化学变化的不同影响，这些变化具有不同的物理和化学特征。为了探索中国沿海水域浮游植物对 OA 的反应，我们在东海南部的富营养化海湾在环境（410 µatm，AC）和升高（1000 µatm，HC）pCO2 水平下进行了中生态实验。 HC条件在养分充足的初始阶段刺激了浮游植物的生长和初级生产力，而在此阶段，由于养分的快速消耗和硅藻的大量繁殖，两种pCO2处理的群落多样性和均匀度均降低，随后硅藻向异鞭毛虫的转变导致中后期在养分耗尽的情况下初级生产力的下降。 HC处理抑制了硅藻到甲藻的演替，并增强了有机物随后的再矿化，从而促进较小的浮游植物占据主导地位并维持初级生产。 我们的研究结果表明，OA对东海南部近岸水域浮游植物多样性的影响取决于营养物质的可用性，富营养化近岸水域浮游植物的初级生产力和生物多样性降低。
Abstract: Anthropogenic CO2 emissions and their continuous dissolution into seawater lead to seawater pCO2 rise and ocean acidification (OA). Phytoplankton groups are known to be differentially affected by carbonate chemistry changes associated with OA in different regions of contrasting physical and chemical features. To explore responses of phytoplankton to OA in the Chinese coastal waters, we conducted a mesocosm experiment in a eutrophic bay of the southern East China Sea under ambient (410 µatm, AC) and elevated (1000 µatm, HC) pCO2 levels. The HC condition stimulated phytoplankton growth and primary production during the initial nutrient-replete stage, while the community diversity and evenness in both pCO2 treatments were reduced during this stage due to the rapid nutrient consumption and diatom blooms, and the subsequent shift from diatoms to hetero-dinoflagellates led to a decline in primary production during the mid and later phases under nutrient depletion. HC treatment suppressed the diatom-to-dinoflagellate succession and enhanced the subsequent remineralization of organic matter, thereby facilitating smaller phytoplankton to dominant and sustaining primary production. Our findings indicate that, the impacts of OA on phytoplankton diversity in the coastal water of the southern East China Sea depend on availability of nutrients, with primary productivity and biodiversity of phytoplankton reduced in the eutrophicated coastal water.
其他相关期刊：按主题相关性补充Other relevant journals: topical supplements
3. No way back: decadal lack of functional recovery of a coralligenous community in a warming Mediterranean
作者Authors: Yanis Zentner; Joaquim Garrabou; Pol Capdevila; Natalia Ruiz‐Valero; Daniel Gómez‐Gras; Núria Teixidó; Cristina Linares
发表月份Publication month: 2026-07 2026-07
Oikos · DOI: 10.1002/oik.11571
关键词Tags: marine heatwaves marine heatwaves
摘要：人为干扰正在以超出其恢复能力的速度破坏自然。虽然大量研究集中在了解生态系统影响上，但恢复过程仍然相对被忽视，特别是在海洋生态系统中，关于高度复杂的系统如何应对干扰的长期数据很少。在这种背景下，我们通过重新访问因 2008 年极端风暴而失去 60% 海底覆盖的地点，并将其与附近未受影响的参考地点进行比较，为地中海珊瑚组合的恢复模式提供了十年的见解。使用基于群落特征的方法，我们评估了 14 年后，受风暴影响的地点是否实现了功能恢复，定义为恢复到干扰前的特征多样性和优势水平。 我们的结果显示，在当地物种的中期重新定殖以及物种大小和寿命接近风暴前值的推动下，前四年出现了初步恢复。然而，十年后，恢复停滞不前，导致群落更加自养且结构不那么复杂，对生态系统功能产生潜在影响。值得注意的是，受风暴影响的地点和参考地点都表现出类似的性状优势转变，伴随着功能差异的增加，这表明海洋热浪和全球变暖正在重塑群落结构。这些变化可能会改变受风暴影响地点的恢复轨迹，并加剧其恢复债务。 总的来说，我们的研究结果为珊瑚组合如何应对当前气候变化背景下的急性极端事件提供了新的见解，同时强调了持续的全球压力在加深恢复系统功能缺陷方面的作用。
Abstract: Anthropogenic disturbances are degrading nature at a rate that exceeds its capacity to recover. While considerable research has focused on understanding ecosystem impacts, recovery processes remain comparatively overlooked, particularly in marine ecosystems, where long‐term data on how highly complex systems respond to disturbances are scarce. In this context, we provide decadal insights into recovery patterns in Mediterranean coralligenous assemblages by revisiting a site that had lost 60% of its benthic cover due to an extreme storm in 2008, and comparing it with a nearby, non‐impacted reference site. Using a community trait‐based approach, we evaluated whether, after 14 years, the storm‐impacted site achieved functional recovery, defined as a return to pre‐disturbance levels of trait diversity and dominance. Our results show an initial recovery during the first four years, driven by the intermediate recolonization of local species and nearing pre‐storm values in terms of species size and longevity. However, a decade later, recovery has stagnated, resulting in a more autotrophic and less structurally complex community, with potential consequences for ecosystem functioning. Notably, both the storm‐impacted and reference sites exhibited a similar shift in trait dominance, accompanied by an increase in functional divergence, suggesting that marine heatwaves and global warming are reshaping community structure. These changes may be altering the recovery trajectory of the storm‐impacted site and exacerbating its recovery debt. Overall, our findings provide new insights into how coralligenous assemblages may respond to acute extreme events in the current context of climate change, while highlighting the role of ongoing global pressures in deepening the functional deficits of recovering systems.
4. Variability of the acoustic field in the presence of bubble clouds near the surface of a shallow sea
作者Authors: V.A. Bulanov; L.K. Bugaeva
发表月份Publication month: 2026-06 2026-06
Podvodnye issledovaniia i robototehnika · DOI: 10.37102/1992-4429_2026_56_02_06
关键词Tags: backscattering backscattering
摘要：关于近表层气泡对海洋低频声音的衰减和结构的贡献的重要性，存在不同的看法。目前该问题还没有明确的解决方案，该领域的研究仍然具有相关性。这项工作的目的是基于新的实验数据和理论模型来确定气泡云对声音传播影响的主要机制。为了研究近地表气泡层对声音传播的影响，利用简正模态的近似值对浅海进行了数值模拟。声场计算是使用交互模式的 KRAKENC 程序进行的。 利用日本海不同频率的后向散射声获得的实验结果来表征充满气泡的海洋上层的结构和声学特性。结果表明，近地表层气泡云的存在导致声场沿声音传播路径的平均衰减和声场的空间干涉结构发生变化。近表面的气泡层导致中等距离处的场额外减小，但在远距离处，它导致指数定律中气泡层的贡献消失——由于海水中的耗散过程，仅保留指数衰减。 当干涉周期随着气泡浓度的增加而增加时，气泡层区域中部分传播射线的消失导致声场的干涉图案变粗。
Abstract: There are different ideas about the significance of the contribution of the near-surface layer of bubbles to the attenuation and structure of low-frequency sound in the ocean. There is currently no definitive solution to the problem, and research in this area remains relevant. The aim of the work was to identify the main mechanism of the influence of bubble clouds on sound propagation based on new experimental data and theoretical models. To study the effect of the near-surface bubble layer on sound propagation, numerical simulations were performed for shallow seas using the approximation of normal modes. The sound field calculations were performed using the KRAKENC program for interacting modes. Experimental results obtained by backscattering sound at various frequencies in the Sea of Japan were used to characterize the structure and acoustic properties of the upper layer of the sea saturated with gas bubbles. It is shown that the presence of bubble clouds in the near-surface layers leads to a change in both the average decay of the sound field along the sound propagation path and the spatial interference structure of the field. The near–surface layer of bubbles leads to an additional decrease in the field at moderate distances, but at large distances it leads to the absence of the contribution of the bubble layer in the exponential law - only exponential attenuation remains due to dissipative processes in seawater. The disappearance of part of the propagating rays in the region of the bubble layer leads to a coarsening of the interference pattern of the acoustic field, when the interference period increases with increasing bubble concentration.
5. Spatial Modelling of Potential Fishing Zones For Narrow-Barred Spanish Mackerel (Scomberomorus commerson) in The Border Waters of Indonesia Timor Leste Based on Maximum Entropy Algorithm
作者Authors: Muhammad Habibi; Cinta Putri Maharani; Zaskia Dwiki Utami; Muhammad Roman Rihardi
发表月份Publication month: 2026-06 2026-06
Journal of Marine and Coastal Science · DOI: 10.20473/jmcs.v15i2.86112
关键词Tags: phytoplankton phytoplankton
摘要：窄斑鲭鱼（Scomberomorus commerson）是印度尼西亚-东帝汶边境水域的重要中上层物种。海洋条件的波动常常使渔民难以确定有效的捕鱼地点。本研究旨在通过整合海面温度 (SST)、叶绿素-a 和船只轨迹数据来确定 2023 年 12 月期间的潜在捕鱼区 (PFZ)。所采用的方法包括使用 SeaDAS 提取 3 级 AQUA MODIS 卫星数据、在 ArcGIS Pro 中执行反距离加权 (IDW) 空间插值分析以及使用最大熵 (MaxEnt) 算法对栖息地适宜性概率进行建模。分析结果表明，2023年12月，该海域海洋条件的海温范围为27. 36°C–32. 40°C，叶绿素 a 水平为 0. 073-1。 503 毫克/立方米。 基于 143 个实际船只存在点的校准，MaxEnt 模型产生了良好的预测性能，曲线下面积 (AUC) 值为 0. 7321。海面温度 (SST) 参数对栖息地适宜性概率的贡献率为 93. 7%，而叶绿素-a 贡献了 6. 3%。绘制的潜在捕鱼区（PFZ）集中在沿海过渡区。结果表明模型预测与实际捕捞位置之间存在空间一致性，这可以作为渔民的基础海洋地理空间信息，以减少搜索时间并提高船队作业效率。
Abstract: The narrow-barred Spanish mackerel (Scomberomorus commerson) is an important pelagic species in the waters along the Indonesia–Timor-Leste border. Fluctuations in oceanographic conditions often make it difficult for fishermen to determine efficient fishing locations. This study aims to identify Potential Fishing Zone (PFZ) for the December 2023 period by integrating Sea Surface Temperature (SST), Chlorophyll-a, and vessel track data. The methods employed include extracting Level 3 AQUA MODIS satellite data using SeaDAS, performing Inverse Distance Weighting (IDW) spatial interpolation analysis in ArcGIS Pro, and modeling habitat suitability probability using the Maximum Entropy (MaxEnt) algorithm. The analysis results indicate that in December 2023, the oceanographic conditions of the waters had an SST range of 27.36°C–32.40°C and chlorophyll-a levels of 0.073-1.503 mg/m³. Based on the calibration of 143 actual vessel presence points, the MaxEnt model produced good predictive performance with an Area Under the Curve (AUC) value of 0.7321. The Sea Surface Temperature (SST) parameter contributed dominantly at 93.7% to habitat suitability probability, while chlorophyll-a contributed 6.3%. The mapped Potential Fishing Zone (PFZ) is concentrated in the coastal transition zone. The results demonstrate spatial agreement between model predictions and actual fishing locations, which can serve as foundational marine geospatial information for fishermen to reduce search time and improve fleet operational efficiency.
