Paper Push: 2026-06-20
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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 3 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, 3 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
Ché la diritta via era smarrita.
Dante, Commedia, Inferno I, 3; Italian original from Kalliope
这是开篇迷失场景的核心句，意思是“因为正路已经失去”。它常被用来描述方向感崩塌后的自我觉察。
This completes the opening image of disorientation: the straight path has been lost. It is a concise image of losing direction.
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.
重点关注团队Focused team
1. Diatoms vs dinoflagellates: a temporal network analysis of bloom impacts on phytoplankton diversity and community structure in French coastal waters
作者Authors: Jean-Yves Dias; Victor Pochic; Samuel Chaffron; Pierre Gernez
发表月份Publication month: 2026-06 2026-06
ISME Communications · DOI: 10.1093/ismeco/ycag174
关键词Tags: phytoplankton phytoplankton
摘要：了解浮游植物群落对水华事件的反应至关重要，因为这些对生物地球化学循环、海洋食物网具有重大影响，但也可能对生态系统、经济和公共卫生有害。硅藻和甲藻是两种最常见的水华形成类，具有不同的生态和水华动态。利用对法国沿海水域的长期浮游植物监测调查 (REPHY) 的时间序列，并通过生态关联网络和多样性指标进行分析，我们研究了硅藻和甲藻的繁殖如何影响浮游植物群落内的多样性和群落结构。我们强调了不同的反应：硅藻水华期间物种丰富度增加，而甲藻水华期间物种丰富度减少。然而，两种水华类型均导致 Shannon 指数和 Pielou 指数下降。 两种开花类型之间的时间关联网络模块化和关联强度也受到不同的影响。然而，关联网络中的高级关联类型和组成保持稳定，表明它们的比例在生态系统功能和恢复力中发挥着重要作用。我们根据已知的生态和生物过程对这些发现提出了几种假设，这些假设仍有待在专门研究中进行单独测试。我们的工作强调了区分不同类型的水华和研究浮游植物之间相互作用的作用以更好地了解其动态的重要性。
Abstract: Understanding phytoplankton community responses to bloom events is essential as these have major implications for biogeochemical cycles, marine food webs, but can also be harmful to ecosystems, the economy, and public health. Diatoms and dinoflagellates are the two most common bloom-forming classes, with distinct ecologies and bloom dynamics. Using time series from a long-term phytoplankton monitoring survey (REPHY) of French coastal waters analysed with ecological association networks and diversity metrics, we investigated how blooms of diatoms and dinoflagellates affect diversity and community structure within phytoplankton communities. We highlight distinct responses: an increase in species richness during diatom blooms and a decrease during dinoflagellate blooms. However, both bloom types resulted in a decrease in Shannon and Pielou indices. Temporal association networks modularity and association strength were also differently impacted between both bloom types. However, high-level association types and composition in association networks remain stable, suggesting an important role of their proportions in ecosystem functioning and resilience. We propose several hypotheses for these findings based on known ecological and biological processes, that remain to be tested individually in dedicated studies. Our work underlines the importance of distinguishing the different types of blooms and studying the role of interactions between phytoplankton for a better understanding of their dynamics.
其他相关期刊：按主题相关性补充Other relevant journals: topical supplements
2. Assessing the Effects of Mussel Aquaculture on Coastal Water Quality Using Sentinel-2 Imagery: An Installation-Based Approach in the Sea of Marmara
作者Authors: Gökhan Tunçelli
发表月份Publication month: 2026-06 2026-06
Aquatic Sciences and Engineering · DOI: 10.26650/ase.2026.1913971
关键词Tags: phytoplankton; ocean colour; bio-optics phytoplankton; ocean colour; bio-optics
摘要：贻贝水产养殖通常被认为是环境可持续的，因为它具有过滤颗粒和回收养分的潜力，但其对沿海水质的大规模影响仍然难以量化，特别是在马尔马拉海等复杂且高度变化的系统中。在此，实施了基于安装的分析框架，利用 Google Earth Engine 中处理的 Sentinel-2 卫星观测数据来评估贻贝养殖场与浊度和叶绿素动态的潜在关联。马尔马拉海南部的 21 个贻贝养殖场通过高分辨率 Google 地球图像（最近的图像年份：2025 年）得到确认和数字化，并使用行政信息支持的时间序列图像解释来指定大约的安装年份。 控制区域被定义为每个农场周围 1-3 公里的环形缓冲区，以提高可解释性。浊度 (B3/B2) 和归一化叶绿素指数 (NDCI) 源自 2018 年、2020 年、2022 年和 2024 年 Sentinel-2 表面反射率复合材料的年度和月度中位数。年度规模分析（方差分析和线性回归）检测到安装前后没有显着的统计差异 (p>0. 05)，并且与安装后的时间没有显着关系。然而，春季开花期（3 月至 5 月）的季节性比较显示，农场区域相对于对照区域经常出现叶绿素负差异，尽管幅度有限且在统计上并不始终强劲。 总体而言，结果表明，马尔马拉海与贻贝相关的信号取决于尺度和季节：可能与过滤相关过程一致的模式在高生产力条件下更为明显，但在很大程度上被强烈的区域变异和混合以及沿海光学遥感的已知不确定性所掩盖。
Abstract: Mussel aquaculture is often considered environmentally sustainable due to its potential to filter particles and recycle nutrients, yet its large-scale influence on coastal water quality remains difficult to quantify, especially in complex and highly variable systems such as the Sea of Marmara. Here, an installation-based analytical framework was implemented to evaluate potential mussel farm associations with turbidity and chlorophyll dynamics using Sentinel-2 satellite observations processed in Google Earth Engine. Twenty-one mussel farms in the southern Sea of Marmara were confirmed and digitized from high-resolution Google Earth imagery (most recent imagery year: 2025), and approximate installation years were assigned using time-series imagery interpretation supported by administrative information. Control areas were defined as a 1–3 km ring buffer around each farm to improve interpretability. Turbidity (B3/B2) and the Normalized Difference Chlorophyll Index (NDCI) were derived from annual and monthly median Sentinel-2 surface reflectance composites for 2018, 2020, 2022, and 2024. Annual-scale analyses (ANOVA and linear regression) detected no statistically significant pre- vs post-installation differences (p>0.05) and no significant relationships with time since installation. However, seasonal comparisons during the spring bloom period (March–May) revealed a recurrent negative chlorophyll difference in farm areas relative to controls, although the magnitude was limited and not consistently statistically strong. Overall, results indicate that mussel-related signals in the Sea of Marmara are scale- and season-dependent: patterns that may be consistent with filtration-related processes were more apparent under high-productivity conditions but are largely masked by strong regional variability and mixing, as well as known uncertainties in coastal optical remote sensing.
3. PENGARUH ENSO TERHADAP VARIABILITAS CURAH HUJAN DAN KLOROFIL-A DI PERAIRAN PULAU LAUT
作者Authors: Istna Nabila Zulfa
发表月份Publication month: 2025-12 2025-12
JKP - Jurnal Kelautan dan Pesisir · DOI: 10.67240/jkp222025217-227
关键词Tags: ocean colour ocean colour
摘要：研究主要分析变化趋势、事件响应、驱动机制或方法表现，并把观测结果与生态和生物地球化学过程联系起来。 核心结果或实现为该主题提供了新的观测约束、方法基准或过程解释。
Abstract: Perairan Pulau Laut memiliki potensi sumber daya laut dan kelautan yang cukup besar. Perairan di gugusan Pulau Laut telah dikaji untuk kelayakan budidaya laut (karamba, jaring apung) berdasarkan parameter oseanografi dan kimia perairan. Kawasan pesisir dan pulau kecil seperti Pulau Laut juga dilihat sebagai calon lokasi pengembangan ekowisata bahari. Penelitian ini bertujuan untuk menganalisis pengaruh fenomena El Nino Southern Oscillation (ENSO) terhadap variabilitas curah hujan dan konsentrasi klorofil-a di wilayah perairan Pulau Laut. Kajian ini tergolong baru, mengingat belum banyak studi sebelumnya yang secara spesifik membahas hubungan antara ENSO, curah hujan, dan klorofil-a di kawasan ini. Penelitian ini menggunakan data observasi berbasis satelit. Curah hujan dan klorofil yang dianalisis mencakup rentang waktu 16 tahun, yaitu dari 2007 hingga 2022, Data curah hujan tersebut diambil dari Global Satellite Measurement of Precipitation (GSMaP) yang tersedia melalui JAXA Global Rainfall Watch dengan resolusi spasial 0,10°. Data konsentrasi klorofil-a diperoleh dari produk Ocean Color CCI (OC-CCI) Level 3 Standard (L3S) yang disediakan oleh Marine Copernicus. Metode penelitian mengacu pada pendekatan kuantitatif sebagaimana dijelaskan oleh, di mana data numerik dianalisis secara statistik dan ditampilkan melalui grafik serta peta sebagai bentuk visualisasi. Seluruh data suhu, angin, klorofil, dan curah hujan diolah secara spasial menggunakan perangkat lunak IDL (Interactive Data Language). Analisis hubungan ENSO terhadap curah hujan dan klorofil-a di perairan Pulau Laut menunjukkan bahwa pada musim barat tidak terdapat hubungan signifikan antara ENSO dan curah hujan, ditunjukkan oleh nilai p sebesar 0,595 (>0,05) dengan korelasi -0,079 yang mencerminkan hubungan negatif sangat lemah. Pada musim timur hubungan tersebut menjadi signifikan, dengan p-value 0,008 dan korelasi -0,378, yang mengindikasikan bahwa semakin kuat El-Nino, curah hujan cenderung menurun. Pada musim barat terdapat hubungan signifikan dengan p-value 0,000 (
