Paper Push: 2026-06-09
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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 10 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, 10 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
Nel suo profondo vidi che s'interna, legato con amore in un volume.
Dante, Commedia, Paradiso XXXIII, 85-86; Italian original from Kalliope
但丁在终章异象中看见宇宙万物被爱装订成一卷。它是《神曲》关于统一与爱的最高意象之一。
In the final vision, Dante sees all things bound by love into one volume. It is one of the poem's supreme images of unity.
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. Linking Phytoplankton‐Derived Dissolved and Particulate Carbon Production to Bacterial Metabolism Across Physical Dynamics in a Subtropical Marginal Sea
作者Authors: Yao Liu; Jianhua Kang; Yibin Huang; Chengwen Xue; Bangqin Huang
发表月份Publication month: 2026-06 2026-06
Journal of Geophysical Research: Oceans · DOI: 10.1029/2026jc024071
关键词Tags: phytoplankton; microbial carbon phytoplankton; microbial carbon
摘要：细菌代谢是海洋有机碳转化的核心驱动力，但其与浮游植物产生的不同生物碳库的耦合仍然受到很少的限制。我们在太平洋亚热带边缘海台湾海峡的不同环境梯度上进行了七次航行，同时量化了细菌代谢率以及浮游植物衍生的颗粒初级生产（PPP）和溶解初级生产（DPP），以研究它们与细菌代谢的关系。浮游植物释放的 DPP 通常不足以满足细菌碳需求 (BCD)，这表明很大程度上依赖于通过食物网处理从颗粒有机物中再生的溶解有机碳。细菌的产生与 DPP 的相关性更强，而细菌的呼吸与 PPP 的相关性更密切。因此，细菌生长效率（BGE）与以溶解形式释放的初级产物的比例共同变化，表明浮游植物碳分配和细菌代谢平衡之间存在系统关联。细菌-浮游植物耦合在不同的物理水团中进一步变化。河流羽流水域表现出较低的 BGE 和较低的 DPP 分数，而近海寡营养水域则表现出较高的 BGE 和较高的 DPP 分数。上升流和混合水显示出相似的 DPP 分数，但 BGE 和 BCD 不同，反映了环境条件和碳供应动态的变化。这些发现为动态边缘海中细菌-浮游植物耦合和微生物碳流路径提供了观测限制。
Abstract: Bacterial metabolism is a central driver of organic carbon transformation in the ocean, yet its coupling to distinct biogenic carbon pools produced by phytoplankton remains poorly constrained. We conducted seven cruises across diverse environmental gradients in the Taiwan Strait, a subtropical marginal sea of the Pacific, simultaneously quantifying bacterial metabolic rates alongside phytoplankton‐derived particulate primary production (PPP) and dissolved primary production (DPP) to examine their relationships with bacterial metabolism. Phytoplankton‐released DPP was generally insufficient to meet bacterial carbon demand (BCD), indicating substantial reliance on dissolved organic carbon regenerated from particulate organic matter through food‐web processing. Bacterial production showed a stronger association with DPP, whereas bacterial respiration was more closely associated with PPP. Accordingly, bacterial growth efficiency (BGE) co‐varied with the fraction of primary production released in the dissolved form, indicating systematic associations between phytoplankton carbon partitioning and bacterial metabolic balance. Bacteria‐phytoplankton coupling further varied across distinct physical water masses. River‐plume waters exhibited lower BGE and lower DPP fractions, whereas offshore oligotrophic waters exhibited higher BGE and higher DPP fractions. Upwelling and mixed waters displayed similar DPP fractions but differed in BGE and BCD, reflecting variability in environmental conditions and carbon supply dynamics. These findings provide observational constraints on bacteria‐phytoplankton coupling and microbial carbon flow pathways in dynamic marginal seas.
2. Contrasting Pathways of Organic Matter Dynamics in a Pair of Mesoscale Eddies in the Northwestern Pacific Ocean and Their Implications for Carbon Sequestration
作者Authors: Chunqing Chen; Qibin Lao; Jie Xu; Chao Wang; Xin Zhou; Qiyao Zhao; Shangjun Cai; Sihai Liu; et al.
发表月份Publication month: 2026-06 2026-06
Biogeosciences · DOI: 10.1029/2026jg009878
关键词Tags: carbon pump; phytoplankton; bio-optics; microbial carbon carbon pump; phytoplankton; bio-optics; microbial carbon
摘要：中尺度涡流是海洋的活跃物理特征，对有机物的生物地球化学循环产生强烈影响。然而，它们在构建耦合颗粒物和溶解有机物（POM 和 DOM）动力学方面的综合作用仍然知之甚少，限制了对其对碳输出和封存净效应的机械理解。为了解决这一知识差距，我们对西北太平洋的一对冷暖中尺度涡流进行了多参数调查，将水文观测与 POM 稳定同位素分析（δ 13 C-POC 和 δ 15 N-PN）以及发色和荧光溶解有机物（CDOM 和 FDOM）的光学表征相结合。我们的结果表明，冷涡和暖涡代表了有机物产生和转化的两种截然不同的机制。尽管冷涡通过上升流增强了营养供应，刺激了新鲜浮游植物衍生的聚甲醛的产生，但由于快速的生物降解，其库存量相对较低，这表明高周转过程。相比之下，暖涡起到了降解反应器的作用，其中表面有机物和富氧水的下降和俯冲促进了微生物再加工，富含 13 C 的颗粒有机碳和顽固性腐殖质 DOM 的产生增加就证明了这一点。这些发现表明，在所研究的一对特定涡流中，冷涡流和暖涡流可以支持互补的碳路径，冷涡流促进快速生物泵，而暖涡流促进微生物再加工，将有机物转移到溶解池中。 因此，这些路径的相对重要性可能会影响公海涡流丰富区域的碳封存潜力。
Abstract: Mesoscale eddies are active physical features of the ocean that exert a strong influence on the biogeochemical cycling of organic matter. However, their integrated roles in structuring coupled particulate and dissolved organic matter (POM and DOM) dynamics remain poorly understood, limiting the mechanistic understanding of their net effect on carbon export and sequestration. To address this knowledge gap, we conducted a multi‐parameter investigation across a cold‐warm pair of mesoscale eddies in the northwestern Pacific Ocean, combining hydrographic observations with stable isotope analyses of POM (δ 13 C‐POC and δ 15 N‐PN) and optical characterization of chromophoric and fluorescent dissolved organic matter (CDOM and FDOM). Our results show that the cold and warm eddies represent two contrasting regimes of organic matter production and transformation. The cold eddy, despite enhanced nutrient supply through upwelling that stimulated the production of fresh phytoplankton‐derived POM, exhibited relatively low inventories due to rapid biological degradation, indicative of a high‐turnover process. In contrast, the warm eddy functioned as a degradation reactor, where downwelling and subduction of surface organic matter and rich‐oxygen water fueled elevated microbial reprocessing, as evidenced by 13 C‐enriched particulate organic carbon and enhanced production of recalcitrant humic‐like DOM. These findings indicate that in the specific pair of eddies investigated, cold and warm eddies can support complementary carbon pathways, with cold eddies promoting a rapid biological pump and warm eddies fostering microbial reprocessing that shifts organic matter toward the dissolved pool. The relative importance of these pathways is therefore likely to influence the carbon sequestration potential of eddy‐rich regions in the open ocean.
3. Vicarious Calibration of Ocean Color Satellite Sensors Based on AERONET-OC Measurements
作者Authors: Xinhao Shi; Shuguo Chen; Junwei Wang; Lianbo Hu; Chaofei Ma; Hailong Peng; Sicong Li
发表月份Publication month: 2026-06 2026-06
Journal of Atmospheric and Oceanic Technology · DOI: 10.1175/jtech-d-25-0116.1
关键词Tags: ocean colour ocean colour
摘要：准确的辐射校准对于海洋颜色卫星传感器的各种应用至关重要。然而，在卫星进入轨道后使用地面源跟踪传感器的辐射性能以及有效评估星载校准系统的准确性具有挑战性。本研究尝试使用气溶胶机器人网络 (AERONET-OC) 数据的海洋颜色组件来执行海洋颜色卫星传感器的替代校准 (VC)。通过对现场 AERONET-OC 数据的严格分析，满足预定义稳定性阈值的几个现场测量被确定为具有用于 VC 的潜力。然后，通过机器学习模型将现场多光谱数据转换为高光谱数据，并用于中分辨率成像光谱辐射计（MODIS）-Aqua和中国海洋颜色和温度扫描仪（COCTS）-海洋（HY）-1D的VC。这些结果与各自的机载校准进行了比较。对于 MODIS-Aqua，结果被分为单独的 6 个月周期，并显示 2020 年至 2022 年的 6 个周期内不同 AERONET-OC 站点平均有 38 个有效匹配。此外，以 412 nm 为例，使用 AERONET-OC 测量估计的大气层顶部 (TOA) 辐射率落在 4–12 mW/cm 2 /μm/sr 的范围内，这显示与全球水域的范围存在广泛重叠（3）。研究结果证实，当使用来自不同地区的多个 AERONET-OC 站点的数据进行海洋颜色卫星传感器的 VC 时，可以产生一致的结果，并能够在广泛的动态范围内准确表征传感器的性能。这为在发射的早期阶段评估传感器性能提供了可靠的基础。
Abstract: Accurate radiometric calibration is crucial for various applications of ocean color satellite sensors. However, tracking the radiometric performance of sensors after satellites enter orbit using ground-based sources is challenging, as well as effectively evaluating the accuracy of onboard calibration systems. This study attempted to use the Ocean Color component of the Aerosol Robotic Network (AERONET-OC) data to perform vicarious calibration (VC) of ocean color satellite sensors. Through rigorous analysis of in situ AERONET-OC data, several field measurements that meet the predefined stability thresholds were identified as having the potential to be used for VC. Then, the field multispectral data are converted into hyperspectral data by machine learning models and employed for VC of the Moderate Resolution Imaging Spectroradiometer (MODIS)-Aqua and the Chinese Ocean Color and Temperature Scanner (COCTS) -HaiYang (HY)-1D. These results were compared with their respective onboard calibration. For MODIS-Aqua, the results were grouped into separate 6-month cycles and showed an average of 38 valid matchups for different AERONET-OC sites over six cycles from 2020 to 2022. Additionally, taking 412 nm as an example, the top-of-atmosphere (TOA) radiances estimated using AERONET-OC measurements, fell within the range of 4–12 mW/cm 2 /μm/sr, which shows a wide overlap with the range for global waters (3.5–14 mW/cm 2 /μm/sr). The findings confirm that VC of ocean color satellite sensors, when conducted using data from multiple AERONET-OC sites across different regions, yields consistent results and enables accurate characterization of sensor performance across a wide dynamic range. This offers a reliable basis for assessing sensor performance in the early stages of launch.
4. Impact Study of Assimilating Fengyun-3 GNSS-R Ocean Surface Winds in the Weather Research and Forecasting Model: Sensitivity Analysis on Observation Error Specifications
作者Authors: Guanyi Wang; Weihua Bai; Feixiong Huang; Yueqiang Sun; Junming Xia; Xianyi Wang; Xiangguang Meng; Peng Hu; et al.
发表月份Publication month: 2026-06 2026-06
Remote Sensing · DOI: 10.3390/rs18121892
关键词Tags: vertical structure vertical structure
摘要：全球导航卫星系统反射测量（GNSS-R）技术提供不受降雨影响的高时空分辨率的全球海洋表面风观测。风云三号E（FY-3E）任务是中国第一颗运行的GNSS-R卫星，提供适合数值天气预报（NWP）的低延迟数据。然而，GNSS-R 风的密集沿轨采样对数据同化中的观测误差规范提出了挑战。在本研究中，FY-3E GNSS-R 风被同化到天气研究和预报（WRF）模型中，以研究不同观测误差配置的影响。通过灵敏度实验和随后的观测系统实验 (OSE) 来评估静态和动态误差规格（无论是否有数据稀疏）。结果表明，使用 6 m/s 的静态观测误差而不进行数据稀疏可达到最佳性能。在这种配置下，GNSS-R 风在单一同化情况下影响从地表到大约 700 hPa 的大气分析，而循环实验则进一步在垂直和空间上扩展影响。这些发现强调了对密集 GNSS-R 数据进行适当观测误差规范的重要性，并为其在 WRF 中的同化提供了实际参考，并具有对其他 NWP 系统的潜在适用性。
Abstract: The Global Navigation Satellite System Reflectometry (GNSS-R) technique provides global ocean surface wind observations unaffected by rainfall with high spatiotemporal resolution. The Fengyun-3E (FY-3E) mission, as the first operational GNSS-R satellite in China, offers low-latency data suitable for numerical weather prediction (NWP). However, the dense along-track sampling of GNSS-R winds poses challenges for observation error specification in data assimilation. In this study, FY-3E GNSS-R winds are assimilated into the Weather Research and Forecasting (WRF) model to investigate the impacts of different observation error configurations. Both static and dynamic error specifications, with and without data thinning, are evaluated through a sensitivity experiment and subsequent Observing System Experiments (OSEs). The results indicate that using a static observation error of 6 m/s without data thinning achieves the best performance. Under this configuration, GNSS-R winds influence atmospheric analyses from the surface up to approximately 700 hPa in a single assimilation case, while cycling experiments further extend the impact vertically and spatially. These findings highlight the importance of appropriate observation error specification for dense GNSS-R data and provide a practical reference for their assimilation in WRF, with potential applicability to other NWP systems.
重点关注团队Focused team
5. Multi‐Stressor Responses in Marine Bivalves: Integrating Climate Change, Pollutants, and Microbiome Shifts for Aquaculture Resilience
作者Authors: Faisal Ahmad Lodhi; Fahim Ullah Khan; Aabid Ullah Khan; Jae‐Seong Lee; Muhammad Abbas; Hanafiah Fazhan; Khor Waiho; Menghong Hu; et al.
发表月份Publication month: 2026-06 2026-06
Reviews in Aquaculture · DOI: 10.1111/raq.70169
关键词Tags: microbial carbon microbial carbon
摘要：海洋双壳类发挥着关键的生态和经济作用，但日益受到多种环境压力的挑战。尽管对个体压力源的影响进行了广泛的研究，但仍需要进行全面的审查，以综合当前的证据并阐明多种相互作用的压力源如何共同影响海洋双壳类的生理和恢复力。本综述整合了 2010 年至 2025 年的证据，涵盖 178 项同行评审的研究，强调气候变化驱动因素（变暖、缺氧、盐度和海洋酸化）、污染物（重金属、持久性有机污染物、内分泌干扰化学品、抗生素、纳米粒子、微塑料）和微生物组变化对未来水产养殖恢复力的综合和交互影响。根据 PRISMA 2020 指南，从 Web of Science、Scopus、PubMed 和 Google Scholar 系统检索文献。 20）揭示了 2018 年之后研究的快速增长，其特点是对贻贝、巨牡蛎和蛤仔的研究。对最近的证据进行了系统评估，结合了生理、分子和微生物研究的数据，特别关注对水产养殖的影响。分析表明，压力源很少单独行动。相反，它们的累积和相互作用效应会导致氧化应激、能量分配中断、宿主-微生物关系不稳定、耐受阈值降低以及其他生态生理后果。这些结果凸显了双壳类种群对快速沿海城市化、水质下降和沉积物污染的脆弱性。 该综述的结论是，可以通过抗逆基因型的选择性育种、污染物和微生物指标的综合监测以及指导适应性水产养殖管理的多组学方法来增强恢复力。
Abstract: Marine bivalves play pivotal ecological and economic roles but are increasingly challenged by multiple environmental stressors. Although there is extensive research on the effects of individual stressors, a comprehensive review is needed to synthesize current evidence and clarify how multiple interacting stressors collectively affect the physiology and resilience of marine bivalves. This review integrates evidence from 2010 to 2025, encompassing 178 peer‐reviewed studies emphasizing the combined and interactive impacts of climate change drivers (warming, hypoxia, salinity, and ocean acidification), pollutants (heavy metals, persistent organic pollutants, endocrine‐disrupting chemicals, antibiotics, nanoparticles, microplastics), and microbiome shifts on future aquaculture resilience. Literature was systematically retrieved from Web of Science, Scopus, PubMed, and Google Scholar in accordance with PRISMA 2020 guidelines. Bibliometric mapping (VOSviewer 1.6.20) revealed a rapid growth in research after 2018, characterized by studies on Mytilus , Crassostrea , and Ruditapes . A systematic evaluation of recent evidence was conducted, combining data from physiological, molecular, and microbial studies, with particular attention to implications for aquaculture. The analysis reveals that stressors rarely act alone. Instead, their cumulative and interactive effects cause oxidative stress, disrupted energy allocation, destabilized host‐microbe relationships, lowered tolerance thresholds, and other eco‐physiological consequences. These results highlight the vulnerability of bivalve populations to rapid coastal urbanization, declining water quality, and sediment contamination. The review concludes that resilience can be enhanced through selective breeding for stress‐tolerant genotypes, integrated monitoring of pollutants and microbial indicators, and multi‐omics approaches to guide adaptive aquaculture management.
其他相关期刊：按主题相关性补充Other relevant journals: topical supplements
6. TEMPORAL ANALYSIS OF BIO-OPTICAL INDICATORS RELATED TO WATER QUALITY AT SEIXAS BEACH, NORTHEASTERN BRAZIL: AN EXPLORATORY STUDY USING SENTINEL-3 OLCI
作者Authors: Mariana Mirelly da Silva Sá; Raimundo Aprigio de Menezes Junior; Karina Massei
发表月份Publication month: 2026-06 2026-06
REMUNOM · DOI: 10.66104/necb7q37
关键词Tags: phytoplankton; ocean colour; bio-optics phytoplankton; ocean colour; bio-optics
摘要：本研究利用 Sentinel-3 上海洋和陆地颜色仪器 (OLCI) 的遥感数据，研究了巴西帕拉伊巴 Seixas 海滩与水质相关的生物光学参数的时间行为。该地区是浅热带沿海环境，受季节性降雨、河口流量和城市输入影响，适合评估光学复杂水域中的卫星监测。该研究具有探索性特征，重点关注 2016 年 10 月至 2020 年 1 月期间光学指标的年际变化，该时期被选为代表降雨量较低和水柱稳定性较高的条件。分析了六个指数：底部反射指数（BRI）、归一化叶绿素指数（NDCI）、归一化浮藻/有害藻华指数（NFHI）、浊度指数（TBI）、藻碳指数（ACI）和海面温度（SST）。结果揭示了近岸和近海区域之间一致的空间梯度。统计分析表明 BRI 和 TBI 存在显着的年际差异，表明表观透明度和悬浮颗粒影响存在差异。由于缺乏现场数据，结果被解释为该地区光学状况的变化。该研究为使用 OLCI 作为监测巴西东北部热带沿海环境的筛查工具建立了方法学基线。
Abstract: This study investigates the temporal behavior of bio-optical parameters related to water quality at Seixas Beach, Paraíba, Brazil, using remote sensing data from the Ocean and Land Colour Instrument (OLCI) onboard Sentinel-3. The area is a shallow tropical coastal environment influenced by seasonal rainfall, estuarine discharge, and urban inputs, making it suitable for evaluating satellite-based monitoring in optically complex waters. The study assumes an exploratory character, focusing on the interannual variability of optical proxies between October 2016 and January 2020, a period chosen to represent conditions of lower rainfall and greater water column stability. Six indices were analyzed: Bottom Reflectance Index (BRI), Normalized Difference Chlorophyll Index (NDCI), Normalized Floating Algal/Harmful Algal Bloom Index (NFHI), Turbidity Index (TBI), Algal Carbon Index (ACI), and Sea Surface Temperature (SST). The results reveal consistent spatial gradients between nearshore and offshore zones. Statistical analysis indicated significant interannual differences for BRI and TBI, suggesting variations in apparent transparency and suspended particle influence. Given the absence of in situ data, the results are interpreted as indicative of changes in the region’s optical regime. The study establishes a methodological baseline for using OLCI as a screening tool in monitoring tropical coastal environments in northeastern Brazil.
7. Population thermal regime modulates the response of the agarophyte Gelidium corneum to marine heatwaves
作者Authors: Samuel Sainz-Villegas; Hugo Sainz Meyer; Araceli Puente; José A. Juanes; Francisco Arenas
发表月份Publication month: 2026-06 2026-06
Scientific Reports · DOI: 10.1038/s41598-026-54957-4
关键词Tags: marine heatwaves marine heatwaves
摘要：Crossref 未提供该 DOI 的摘要。
Abstract: Crossref did not provide an abstract for this DOI.
8. Dynamic optimization using long short-term memory and genetic algorithms for predicting marine data
作者Authors: Mukhlis Mukhlis; Indra Jaya; Sri Nurdiati; Karlisa Priandana; Irman Hermadi
发表月份Publication month: 2026-06 2026-06
IAES International Journal of Artificial Intelligence (IJ-AI) · DOI: 10.11591/ijai.v15.i3.pp2826-2837
关键词Tags: carbon pump; phytoplankton carbon pump; phytoplankton
摘要：本研究旨在开发准确高效的海洋数据预测模型，以应对气候变化和复杂海洋动力学带来的挑战。主要目标是使用长短期记忆（LSTM）网络和遗传算法（GA）同时预测四个关键海洋因素：海面温度（SST）、海面高度（SSH）、海面盐度（SSS）和叶绿素-a（Chl-a）。采用实验定量方法，利用班达海地区的卫星数据。这种方法涉及使用 LSTM 进行时间序列建模，并通过 GA 针对神经元数量和批量大小等超参数进行优化。结果表明，组合的 LSTM-GA 模型大大提高了预测精度，即使在存在大量噪声的情况下，也能成功识别所有变量的季节性趋势和不规则变化。测试表明，每个变量的最佳配置各不相同，并且 GA 优化过程可以将模型收敛速度加快 10 个 epoch。这些发现强调了整合进化技术在训练海洋数据深度学习（DL）模型中的有效性。这项研究的影响包括自适应海洋监测系统、早期预警举措以及海洋资源管理中数据驱动规划的潜在应用。
Abstract: This study aims to develop an accurate and efficient ocean data prediction model to tackle the challenges posed by climate change and complex oceanographic dynamics. The main goal is to use long short-term memory (LSTM) networks along with genetic algorithms (GA) to predict four key ocean factors at once: sea surface temperature (SST), sea surface height (SSH), sea surface salinity (SSS), and chlorophyll-a (Chl-a). An experimental quantitative approach is employed, utilizing satellite data from the Banda Sea region. This approach involves time series modeling using LSTM, which is optimized by GA for hyperparameters such as the number of neurons and batch size. The results show that the combined LSTM-GA model greatly improves prediction accuracy and successfully identifies seasonal trends and irregular changes in all variables, even when there is a lot of noise. Tests reveal that the optimal configuration varies for each variable, and the GA optimization process can expedite model convergence by as little as 10 epochs. These findings underscore the effectiveness of integrating evolutionary techniques in training deep learning (DL) models for ocean data. The implications of this research include potential applications in adaptive ocean monitoring systems, early warning initiatives, and data-driven planning in marine resource management.
9. The influence of ocean waves on Antarctic sea-ice albedo and seasonal melting, and potential coupled physical and biological feedbacks
作者Authors: Robert A. Massom; Phillip A. Reid; Stephen G. Warren; Bonnie Light; Donald K. Perovich; Luke G. Bennetts; Petteri Uotila; Siobhan P. O'Farrell; et al.
发表月份Publication month: 2026-06 2026-06
The Cryosphere · DOI: 10.5194/tc-20-3271-2026
关键词Tags: vertical structure vertical structure
摘要：识别每年夏天驱动南极海冰融化的全套过程对于改善当前模型准确模拟年度海冰周期的气候退却阶段的能力至关重要。这对于（1）理解和归因观察到的趋势和最近海冰覆盖的突然变化以及（2）对未来海冰状况和影响进行更可靠的预测至关重要。本文确定了波浪驱动的过程，可以加速边缘冰区（MIZ）和内部海冰区（SIZ）内开放水域海冰的季节性融化。它建立在长期持有的观点之上，即季节性南极海冰消融主要是由浮冰横向和底部融化驱动的，通过浮冰的波浪破碎而增强了MIZ，通过证明海浪通过三组过程在产生表面和内部融化（称为“波浪融化”）方面发挥着重要的附加作用：“波浪淹没”，“波浪粉碎”和“波浪绿化”（涉及波浪改变的冰中的藻类增殖）。根据现有的观测和简单的一维建模，与积雪覆盖的冰相比，这些波浪过程估计会使冰反照率降低 0. 64，导致垂直融化速率增强 0. 2 cm d−1，并通过波浪绿化放大至 1。该研究还确定了五种可能进一步加速冰融化的正反馈和子反馈机制。它解决了当前气候和地球系统模型中的一个空白，这些模型解释了波浪对浮冰尺寸分布的影响，但忽略了这些耦合的波浪驱动的动力学、热力学和生物过程，这些过程可能有助于解释南极海冰每年夏天为何以及如何快速融化。 这项基础研究的目的是促进进一步有针对性的调查，旨在量化波浪融化在年度海冰循环中的作用，以及波浪绿化对海冰区初级生产的贡献及其在反馈气候的关键生物地球化学过程中的作用。这项工作对行星反照率、全球气候反馈、海洋生态系统以及未来海冰和气候预测的准确性（在日益风暴的南大洋以及不断变化的北极）具有重要意义。
Abstract: Identifying the full suite of processes that drive the melting of Antarctic sea ice each summer is crucial to improving the currently-poor ability of contemporary models to accurately simulate the climatological retreat phase of the annual sea-ice cycle. This is critical to (1) understanding and attributing observed trends and recent abrupt changes in sea-ice coverage and (2) the more robust prediction of future sea-ice conditions and impacts. This paper identifies wave-driven processes that can accelerate the seasonal melting of sea ice both in the marginal ice zone (MIZ) and in open-water areas within the interior sea-ice zone (SIZ). It builds on the long-held view that seasonal Antarctic sea-ice ablation is primarily driven by ice-floe lateral and basal melting enhanced in the MIZ by wave breakup of ice floes, by demonstrating that ocean waves play important additional roles in generating surface and interior melting (termed “wave melting”) via three sets of processes: “wave flooding”, “wave pulverisation”, and “wave greening” (involving algal proliferation in wave-modified ice). Based on existing observations and simple one-dimensional modelling, these wave processes are estimated to reduce ice albedo by 0.38–0.64 compared to snow-covered ice, resulting in vertical melt-rate enhancements of 0.9–5.2 cm d−1 amplified by wave greening to 1.1–6.1 cm d−1. The study also identifies five positive feedback and sub-feedback mechanisms that likely accelerate the ice melting further. It addresses a gap in current climate and Earth system models, which account for wave effects on floe-size distributions but overlook these coupled wave-driven dynamic, thermodynamic and biological processes that may contribute to explaining why and how Antarctic sea ice can melt back so rapidly each summer. An intention of this foundational study is to stimulate further targeted investigation aimed at quantifying the role of wave melting in the annual sea-ice cycle – as well as the contribution of wave greening to primary production in the sea-ice zone and its role in key biogeochemical processes that feed back to climate. The work has implications for planetary albedo, global climate feedbacks, marine ecosystems, and the accuracy of future sea-ice and climate projections in an increasingly-stormy Southern Ocean, as well as in a changing Arctic.
10. Mapping Octopus (Octopus cyanea) Fishing Grounds Based on Sea Surface Temperature and Chlorophyll-a In the Waters of Langkai–Lanjukang
作者Authors: Nasdwiana Nasdwiana; Hasmawati Hasmawati; Husniati Husniati; Nirwan Dessibali; Nuryamin Nuryamin
发表月份Publication month: 2026-05 2026-05
Agrikan Jurnal Agribisnis Perikanan · DOI: 10.52046/agrikan.v19i1.2742
关键词Tags: phytoplankton phytoplankton
摘要：本研究旨在利用基于地理信息系统（GIS）和空间分辨率为4公里的MODIS卫星数据的空间参与方法绘制章鱼渔场的分布图。通过将参与性捕捞位置数据与海洋学参数相结合进行空间分析，然后进行空间叠加和分布测绘，以确定潜在的捕捞区域。主要数据是通过采访渔民、记录捕鱼地点坐标以及观察温度、盐度和深度等海洋条件获得的。卫星图像和测深图等辅助数据用于支持分析。结果表明，章鱼渔场集中在西南海域，海面温度为28. 5°C，叶绿素a浓度为低至中等（0。相反，温度较高（>30°C）和叶绿素a浓度较高的区域往往不支持章鱼的存在。这表明，与初级生产力相比，海洋环境的物理因素，特别是温度，是章鱼分布的主要决定因素。这些发现对章鱼渔业管理，其中具有最佳温度的区域可以优先考虑作为潜在的捕捞区域。这项研究制作了章鱼渔场的空间地图，可以作为在斯佩蒙德群岛制定基于生态系统的适应性管理战略的基础。
Abstract: This study aims to map the distribution of octopus fishing grounds using a spatial-participatory approach based on Geographic Information Systems (GIS) and MODIS satellite data with a spatial resolution of 4 km. Spatial analysis was conducted by integrating participatory fishing location data with oceanographic parameters, followed by spatial overlay and distribution mapping to identify potential fishing zones. Primary data were obtained through interviews with fishers, recording of fishing location coordinates, and observations of oceanographic conditions including temperature, salinity, and depth. Secondary data such as satellite imagery and bathymetric maps were used to support the analysis. The results show that octopus fishing grounds are concentrated in the southwestern waters with sea surface temperatures ranging from 28.9–29.5°C and low to moderate chlorophyll-a concentrations (0.167–2.14 mg/m³). In contrast, areas with higher temperatures (>30°C) and high chlorophyll-a concentrations tend not to support octopus presence. This indicates that physical factors of the marine environment, particularly temperature, are the main determinants of octopus distribution compared to primary productivity. These findings have important implications for octopus fisheries management, where zones with optimal temperatures can be prioritized as potential fishing areas. This study produces a spatial map of octopus fishing grounds that can serve as a basis for developing adaptive ecosystem-based management strategies in the Spermonde Archipelago.
