Paper Push: 2026-07-12
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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 4 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, 4 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
Non v'accorgete voi che noi siam vermi nati a formar l'angelica farfalla?
Dante, Commedia, Purgatorio X, 124-125; Italian original from Kalliope
这句把人写成将来会形成天使蝴蝶的虫。它用强烈意象表达人的未完成和转化潜能。
Dante says humans are like worms born to form the angelic butterfly. It is a striking image of incompletion and transformation.
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. Quantifying Shifts in the Absorption Budget of the Labrador Sea as the Dominant Phytoplankton Group Changes Between Diatoms and Phaeocystis
作者Authors: K. L. Wilson; E. Devred; T. Perry; S. Clay
发表月份Publication month: 2026-07 2026-07
Journal of Geophysical Research: Oceans · DOI: 10.1029/2025jc023285
关键词Tags: phytoplankton; absorption; bio-optics; microbial carbon phytoplankton; absorption; bio-optics; microbial carbon
摘要：拉布拉多海春季浮游植物的繁殖以硅藻为主，其中包括棕囊藻属 (Phaeocystis spp)。 （以下简称棕囊藻）占浮游植物总生物量的 25% 以上。然而，在 2015 年和 2022 年，观察到棕囊藻大量繁殖，占表面浮游植物生物量的 90%。在这项研究中，我们量化了沿着拉布拉多海监测线（从拉布拉多东南部到格陵兰岛西南海岸）的四个不同海洋状况内浮游植物（PHY）、有色溶解有机物（CDOM）和非藻类颗粒（NAP）吸收系数的变化。基于色素的化学分类学显示，2014年至2022年，硅藻和棕囊藻是春季的优势分类群。对光学活性成分的吸收系数进行分析，了解拉布拉多海的生物光学状况。 以硅藻和其他非棕囊藻类群为主的区域被确定为案例 2 水域，具有高 CDOM 系数，并且与 PHY 不存在相关性。以硅藻为主的水表现出最低的叶绿素特异性吸收 (a* PHY )。夏季，叶绿素a浓度（chl-a）较低时，a* PHY最高；然而，a* PHY 随着棕囊藻生物量的增加而减少。与典型条件相反，当棕囊藻生物量占总叶绿素的 80% 或更多时，PHY、NAP 和 CDOM 与 PHY 的显着增加呈正相关且显着相关。 470 至 518 nm 之间 PHY 的线性斜率较高，与褐囊藻呈正相关，较低，与硅藻生物量呈负相关。 有关 PHY 光谱形状和幅度的信息支持开发基于高光谱的反射率模型，以从太空检测拉布拉多海中的棕囊藻水华。
Abstract: Phytoplankton spring blooms in the Labrador Sea are dominated by diatoms, with Phaeocystis spp. (hereafter Phaeocystis ) contributing more than 25% to total phytoplankton biomass. However, in 2015 and 2022, large blooms of Phaeocystis were observed, contributing up to 90% of the surface phytoplankton biomass. In this study, we quantified shifts in the absorption coefficient of phytoplankton (a PHY ), colored dissolved organic matter (a CDOM ), and non‐algal particles (a NAP ) within four different oceanographic regimes along a Labrador Sea monitoring line spanning from the southeast Labrador to the southwest Greenland coast. Pigment‐based chemotaxonomy showed that from 2014 to 2022, diatoms and Phaeocystis were the dominant taxonomic groups in the spring. Analysis of absorption coefficients of optically active components informed on the bio‐optical status of the Labrador Sea. Regimes dominated by diatoms and other non‐ Phaeocystis groups were identified as Case‐2 waters with high a CDOM coefficients, and an absence of correlation with a PHY . Diatom‐dominated waters exhibited the lowest chlorophyll‐specific absorption (a* PHY ). In summer, when chlorophyll‐a concentration (chl‐a) was low, a* PHY was highest; however, a* PHY decreased as Phaeocystis biomass increased. In contrast to typical conditions, when Phaeocystis biomass was 80% or more of total chl‐a, a PHY , a NAP , and a CDOM positively and significantly correlated with significant increases in a PHY . The linear slope of a PHY between 470 and 518 nm was higher and positively correlated with Phaeocystis, and lower and negatively correlated to diatom biomass. Information on a PHY spectral shape and magnitude supports the development of hyperspectral‐based reflectance models to detect Phaeocystis blooms in the Labrador Sea from space.
重点关注团队Focused team
2. Quantum walk model reveals the propagation path of phytoplankton blooms along the Kuroshio-Oyashio system in the western North Pacific
作者Authors: Zhenxia Liu; Yanhui Dai; Luojian Tan; Binru Zhao; Xu Hu; Wen Luo; Linwang Yuan; Zhaoyuan Yu
发表月份Publication month: 2026-07 2026-07
Acta Oceanologica Sinica · DOI: 10.1007/s13131-026-2659-5
关键词Tags: phytoplankton phytoplankton
摘要：Crossref 未提供该 DOI 的摘要。
Abstract: Crossref did not provide an abstract for this DOI.
3. From chaos to order: cross-kingdom coordination buffers microbial communities against typhoon impacts
作者Authors: Hui Huang; Junze Wu; Zhangxi Hu; Huaming Wu; Yulei Zhang
发表月份Publication month: 2026-07 2026-07
BMC Microbiology · DOI: 10.1186/s12866-026-05387-9
关键词Tags: phytoplankton; microbial carbon phytoplankton; microbial carbon
摘要：背景 台风扰动深刻重塑了沿海微生物生态系统；然而，细菌和浮游植物群落的耦合反应和共同演替动态仍然知之甚少。确定它们的相互作用和关键驱动因素对于了解生态系统的恢复力和预测干扰后藻类动态至关重要。方法以湛江湾为模型系统，分析了两次强度对比台风事件中的微生物演替。高通量测序和环境数据与多种机器学习模型相结合，以确定细菌群落对浮游植物多样性的影响模式。 SHAP 分析用于量化特征贡献并检测阈值效应，网络分析用于表征演替阶段的跨领域相互作用。 结果 尽管 Prapiroon 引起更强的位移（细菌为 2. 38 倍，浮游植物为 2. 53 倍），但微生物群落在两种台风下表现出一致的方向演替。随机森林取得了最佳的预测性能（R 2 = 0. 74，RMSE = 0. 23）。温度和稀有分类单元蛭弧菌被确定为关键驱动因素，显示出明显的阈值效应：浮游植物多样性在 30. 76 °C 以上下降，当蛭弧菌超过 0. 02% 时则增加。多样性在扰乱后立即达到顶峰，并在恢复过程中下降，表明存在阶段依赖的监管转变。微生物网络遵循“崩溃-重组-恢复”的轨迹，反映了生态系统的恢复力。 结论我们的研究结果揭示了台风干扰下微生物演替的可预测的、阶段依赖的框架，由环境过滤和生物相互作用驱动。确定的阈值和微生物指标为识别水华风险升高的关键时间窗口提供了基础，凸显了将微生物数据与机器学习相结合以实现适应性沿海管理的潜力。
Abstract: Background Typhoon disturbances profoundly reshape coastal microbial ecosystems; however, the coupled responses and co-successional dynamics of bacterial and phytoplankton communities remain poorly understood. Identifying their interactions and key drivers is essential for understanding ecosystem resilience and predicting post-disturbance algal dynamics. Methods Using Zhanjiang Bay as a model system, we analyzed microbial succession across two typhoon events with contrasting intensities. High-throughput sequencing and environmental data were integrated with multiple machine learning models to identify the influence patterns of bacterial communities on phytoplankton diversity. SHAP analysis was applied to quantify feature contributions and detect threshold effects, and network analysis was used to characterize cross-kingdom interactions across successional stages. Results Microbial communities exhibited consistent directional succession under both typhoons, although Prapiroon induced stronger displacement (2.38-fold in bacteria and 2.53-fold in phytoplankton). Random Forest achieved the best predictive performance (R 2 = 0.74, RMSE = 0.23). Temperature and the rare taxon Bdellovibrionota were identified as key drivers, showing clear threshold effects: phytoplankton diversity declined above 30.76 °C and increased when Bdellovibrionota exceeded 0.02%. Diversity peaked immediately after disturbance and declined during recovery, indicating a stage-dependent regulatory shift. Microbial networks followed a "collapse–reorganization–recovery" trajectory, reflecting ecosystem resilience. Conclusion Our findings reveal a predictable, stage-dependent framework of microbial succession under typhoon disturbance, driven by environmental filtering and biotic interactions. The identified thresholds and microbial indicators provide a basis for recognizing critical temporal windows of elevated bloom risk, highlighting the potential of integrating microbial data with machine learning for adaptive coastal management.
4. Nitrogen fixation rates increase with diazotroph richness in the global ocean
作者Authors: Dominic Eriksson; Damiano Righetti; Fabio Benedetti; Nicolas Gruber; Lucas Paoli; Guillem Salazar; Shinichi Sunagawa; Meike Vogt
发表月份Publication month: 2026-07 2026-07
Scientific Reports · DOI: 10.1038/s41598-026-61132-2
关键词Tags: ocean biogeochemistry ocean biogeochemistry
摘要：海洋固氮是支持和维持海洋初级生产的关键过程，但我们对能够固氮的固氮微生物的分布和多样性的了解非常有限。在这里，通过整合微观和宏基因组数据，我们确定了全球海洋主要固氮类群的生物地理学和丰富度。通过分析 22,000 个记录和 15 个物种，我们推断出固氮生物丰富度的纬度梯度，其中热带地区的丰富度较高，这是由温度和营养水平驱动的。蓝藻在营养贫乏的环流中占主导地位，而非蓝藻固氮菌则在营养丰富的区域繁衍生息。在全球海洋中，固氮生物丰富度与固氮率呈正相关，表明生物多样性与生态系统功能之间存在正相关关系。 虽然这种关系对于空间自相关和混杂的环境驱动因素来说是稳健的，但全球数据集中的空间依赖性和潜在的未测量协变量可能会影响局部尺度的推论。研究结果表明，海洋浮游生物中存在着积极的生物多样性与生态系统功能关系，对全球生物地球化学循环具有影响。
Abstract: Marine nitrogen fixation is a key process to support and maintain the ocean’s primary production, yet our knowledge of the distribution and diversity of the diazotrophic microbes that are capable of fixing nitrogen is very limited. Here, integrating microscopic and metagenomic data, we determine the biogeography and richness of the main diazotrophic taxa across the global ocean. Analyzing 22,000 records and 15 species, we deduce a latitudinal gradient in diazotroph richness, with higher richness to the tropics driven by temperature and nutrient levels. Cyanobacteria dominate in nutrient-poor gyres, while non-cyanobacterial diazotrophs thrive in nutrient-rich zones. Across the global ocean, diazotroph richness is found to correlate positively with nitrogen fixation rates, suggesting a positive biodiversity-ecosystem function relationship. While this relationship is robust to spatial autocorrelation and confounding environmental drivers, spatial dependence in the global datasets and potential unmeasured covariates may influence local-scale inferences. The findings suggest that positive biodiversity–ecosystem functioning relationships with implications for global biogeochemical cycling exist in marine plankton.
