【目的】英文科技期刊作为科研成果传播和国际学术交流的重要平台,在我国科技发展中发挥了举足轻重的作用,本文研究旨在为进一步促进我国英文科技期刊国际化发展提供借鉴与实践指导。【方法】本文基于Journal of Marine Science and App...【目的】英文科技期刊作为科研成果传播和国际学术交流的重要平台,在我国科技发展中发挥了举足轻重的作用,本文研究旨在为进一步促进我国英文科技期刊国际化发展提供借鉴与实践指导。【方法】本文基于Journal of Marine Science and Application的办刊实践,从如何充分发挥专家办刊优势、多措并举加大宣传力度以及创新出版模式等方面总结和探讨我国英文科技期刊国际影响力提升策略。【结果】国际化办刊对提升我国英文科技期刊国际影响力和知名度具有显著效果。【结论】国际化发展是英文科技期刊的必然途径,对加快推进我国科技期刊建设成为世界一流期刊具有重要意义。展开更多
以Journal of Marine Science and Application为例,从聚焦国家重大战略需求、服务一流学科建设、服务广大作者与读者、助力人才培养、服务高校广大师生等方面探讨在“双一流”建设和培育世界一流科技期刊背景下,我国高校英文科技期刊...以Journal of Marine Science and Application为例,从聚焦国家重大战略需求、服务一流学科建设、服务广大作者与读者、助力人才培养、服务高校广大师生等方面探讨在“双一流”建设和培育世界一流科技期刊背景下,我国高校英文科技期刊服务能力建设举措及办刊实践。文章认为,高校英文科技期刊应坚持服务国家战略与学科发展并重,通过国际化、专业化、特色化办刊实践,全面提升服务能力,为我国科技强国建设提供有力支撑。展开更多
目的:英文科技期刊作为科研成果传播和学术交流的重要载体,对提升我国科技国际竞争力和影响力作出了巨大贡献,文章旨在为进一步促进我国高校英文科技期刊高质量发展提供借鉴与实践指导。方法:基于Journal of Marine Science and Applica...目的:英文科技期刊作为科研成果传播和学术交流的重要载体,对提升我国科技国际竞争力和影响力作出了巨大贡献,文章旨在为进一步促进我国高校英文科技期刊高质量发展提供借鉴与实践指导。方法:基于Journal of Marine Science and Application办刊实践,从打造期刊专家队伍、深耕稿件学术质量、多措并举加大宣传等方面总结和探讨我国高校英文科技期刊学术质量和影响力提升策略。结果:组建高水平专家办刊团队、坚守内容质量生命线以及拓宽期刊国际化发展对全面提升我国高校英文科技期刊综合办刊能力和知名度效果显著。结论:期刊学术质量和影响力提升是我国高校英文科技期刊发展的核心,对加快推进我国科技期刊建设成为世界一流期刊具有重要意义。展开更多
Marine environment represents a very important and actual topic.Water bodies cover more than two thirds of the earth’s surface and even after thousands of years,scientists have yet to fully uncover their mysteries.At...Marine environment represents a very important and actual topic.Water bodies cover more than two thirds of the earth’s surface and even after thousands of years,scientists have yet to fully uncover their mysteries.At the same time climate,change has visible effects with a growing dynamics in the last decades and the marine environment is very sensitive to these changes.In order to mitigate the effects of the climate change there is an increasing need of reducing the CO_(2) emissions and from this perspective the marine environment represents an important source of clean renewable energy.展开更多
The higher dynamics in the climate change became quite visible in the last decades.Although there are still theories assuming these changes to the cyclic character of the climate,it is obvious that this dynamics is al...The higher dynamics in the climate change became quite visible in the last decades.Although there are still theories assuming these changes to the cyclic character of the climate,it is obvious that this dynamics is also driven to a large extent by the human activities.According to the Intergovernmental Panel on Climate Change(IPCC),which is the United Nations body for assessing the science related to climate change,various climate scenarios have been designed.展开更多
Cirrus clouds play a crucial role in the energy balance of the Earth-atmosphere system.We investigated the spatiotemporal variations of cirrus over the South China Sea(SCS)using satellite data(MOD08,MYD08,CALIPSO)and ...Cirrus clouds play a crucial role in the energy balance of the Earth-atmosphere system.We investigated the spatiotemporal variations of cirrus over the South China Sea(SCS)using satellite data(MOD08,MYD08,CALIPSO)and reanalysis data(MERRA-2)from March 2007 to February 2015(eight years).The horizontal distribution reveals lower cirrus fraction values in the northern SCS and higher values in the southern region,with minima observed in March and April and maxima sequentially occurring in August(northern SCS,NSCS),September(middle SCS,MSCS),and December(southern SCS,SSCS).Vertically,the cirrus fraction peaks in summer and reaches its lowest levels in spring.Opaque cirrus dominates during summer in the NSCS and MSCS,comprising 53.6%and 55.9%,respectively,while the SSCS exhibits a higher frequency of opaque cirrus relative to other cloud types.Subvisible cirrus clouds have the lowest frequency year-round,whereas thin cirrus is most prominent in winter in the NSCS(46.3%)and in spring in the MSCS(45.3%).A case study from September 2021 further explores the influence of ice crystal habits on brightness temperature(BT)over the SCS.Simulations utilizing five ice crystal shapes from the ARTS DDA(Atmospheric Radiative Transfer Simulator Discrete Dipole Approximation)database and the RTTOV 12.4 radiative transfer model reveal that the 8-column-aggregate shape best represents BT in the NSCS and SSCS,while the large-block-aggregate shape performs better in the SSCS.展开更多
Prevention of annual"green tides"caused by blooms of the green macroalga Ulva prolifera,which have occurred in the Yellow Sea since 2007,has received much attention.Increasing evidence indicates that micro-p...Prevention of annual"green tides"caused by blooms of the green macroalga Ulva prolifera,which have occurred in the Yellow Sea since 2007,has received much attention.Increasing evidence indicates that micro-propagules on the rafts used for Porphyra yezoensis aquaculture along the coastline of Jiangsu Province in China,were the primary source of these green tides.In this study,we investigated the effectiveness of a silicone antifouling coating for preventing the adhesion and germination of U.prolifera micro-propagules on bamboo and nylon ropes,which have been used in rafts for P.yezoensis aquaculture.Our results demonstrated that a coating of silicone(Sylgard 184)containing 1.0 wt.%sodium benzoate(NaB)could reduce the adhesion rate to<5%and completely inhibited the growth of U.prolifera propagules on the coated surfaces.Coating bamboo and nylon ropes with NaB-incorporated silicone thus proved a potentially effective method for controlling the initial biomass accumulation of U.prolifera.展开更多
Marine fish diversity in the Beibu Gulf from 2014 to 2022 was analyzed,using various methods including at-sea fisheries resource surveys,fishing port surveys,underwater survey techniques,and data from literature,books...Marine fish diversity in the Beibu Gulf from 2014 to 2022 was analyzed,using various methods including at-sea fisheries resource surveys,fishing port surveys,underwater survey techniques,and data from literature,books,and databases,from which 1059 fish species across 40 orders,166 families,and 503 genera were identified.Among them,Acanthuriformes displayed the highest diversity,followed by Carangiformes and Perciformes.Notably,eight alien species were found in the Beibu Gulf.The International Union for Conservation of Nature(IUCN)Red List assessment revealed 51threatened species,primarily cartilaginous fish.Taxonomic changes affected 88.70%of species due to classification adjustments,misidentifications,and junior synonymy.This study contributed new data of the gulf,including one additional order,six new families,34 new genera,and 81 new species,emphasizing the dynamic nature of marine ecosystems.Fish diversity in the gulf was relatively lower than the broader South China Sea,attributed to limited habitats and survey methods.Different survey methods,such as gill nets,trap nets,and underwater cameras,yielded varying results.Ocean currents may have transported deep-sea species into the Beibu Gulf,leading to accidental records.Research gaps exist in unexplored areas,warranting further investigation.Therefore,the Beibu Gulf hosts significant marine biodiversity,but taxonomic challenges and undiscovered species require new research and conservation efforts.展开更多
Low–angle submarine landslides pose a greater threat to offshore infrastructure compared to those with steep sliding angles.Understanding the preparation and triggering mechanism of these low–angle submarine landsli...Low–angle submarine landslides pose a greater threat to offshore infrastructure compared to those with steep sliding angles.Understanding the preparation and triggering mechanism of these low–angle submarine landslides remains a significant challenge.This study focuses on a deformed low–angle submarine landslide in the shelf–slope break of the Pearl River Mouth Basin,South China Sea,integrating sedimentology,geophysics,and geotechnology to investigate potential failure mechanisms.The architecture and deformation characteristics of the submarine landslide were elucidated by analyzing multibeam and seismic data.Within the context of the regional geological history and tectonic framework,this study focuses on the factors(e.g.,rapid sedimentation,fluid activity,and earthquakes)that potentially contributed to the submarine slope failure.Furthermore,a series of stability evaluations considering the effects of rapid sedimentation and earthquakes was conducted.Our findings indicate that the most probable triggering mechanism involves the combined effects of sedimentation controlled by sea–level fluctuations,high–pressure gas activity,and seismic events.The high–pressure gas,which acts as a long–term preconditioning factor by elevating pore pressures and reducing shear resistance within the sediment,accumulated beneath the upper and middle sections of the low–permeability stratum that was formed during sea–level rise and ultimately evolved into the sliding mass.The overpressure generated by gas accumulation predisposed the submarine slope to instability,and a frequent or moderate earthquake ultimately initiated local failure.This study enhances the mechanistic understanding of low–angle slope failures in the shelf–slope break zone and provides critical insights for assessing marine hazard risks.展开更多
Since the beginning of the 21st century,advances in big data and artificial intelligence have driven a paradigm shift in the geosciences,moving the field from qualitative descriptions toward quantitative analysis,from...Since the beginning of the 21st century,advances in big data and artificial intelligence have driven a paradigm shift in the geosciences,moving the field from qualitative descriptions toward quantitative analysis,from observing phenomena to uncovering underlying mechanisms,from regional-scale investigations to global perspectives,and from experience-based inference toward data-and model-enabled intelligent prediction.AlphaEarth Foundations(AEF)is a next-generation geospatial intelligence platform that addresses these changes by introducing a unified 64-dimensional shared embedding space,enabling-for the first time-standardized representation and seamless integration of 12 distinct types of Earth observation data,including optical,radar,and lidar.This framework significantly improves data assimilation efficiency and resolves the persistent problem of“data silos”in geoscience research.AEF is helping redefine research methodologies and fostering breakthroughs,particularly in quantitative Earth system science.This paper systematically examines how AEF’s innovative architecture-featuring multi-source data fusion,high-dimensional feature representation learning,and a scalable computational framework-facilitates intelligent,precise,and realtime data-driven geoscientific research.Using case studies from resource and environmental applications,we demonstrate AEF’s broad potential and identify emerging innovation needs.Our findings show that AEF not only enhances the efficiency of solving traditional geoscientific problems but also stimulates novel research directions and methodological approaches.展开更多
The accurate identification of microporosity is crucial for the characterization of hydrocarbon reservoir permeability and production.Scanning electron microscopy(SEM)is among the limited number of methods available t...The accurate identification of microporosity is crucial for the characterization of hydrocarbon reservoir permeability and production.Scanning electron microscopy(SEM)is among the limited number of methods available to directly observe the microscopic structure of the hydrocarbon reservoir rocks.Nevertheless,precise segmentation of microscopic pores at different depths in SEM images remains an unsolved challenge,known as the‘depth-related resolution loss'problem.Therefore,in this study,a 3D reconstruction technique for regions of interest(ROI)was developed for in-depth pixel analysis and differentiation among various depths of SEM images.The processed SEM images,together with the processing outcomes of this technique,were used as the input database to train a stochastic depth with multi-channel residual pathways(SdstMcrp)deep learning model programmed in Python to develop a tool for segmenting the microscopic pore spaces in SEM images obtained from the Beibuwan Basin.The more accurate segmentation helped to detect an average of 1.2 times more microporosity in SEM images,accounting for about 1.6 times more pixels and 1.2 times more pore surface area.Finally,the impact of the accurate segmentation on the calculation of permeability,a significant reservoir production property,was investigated using fractal geometry models and sensitivity analysis.The results showed that the obtained permeability values would vary by a factor of 6,which represents a considerable difference.These findings demonstrate that the proposed models can effectively identify features across a wide range of grayscale values in SEM images.展开更多
As climate change,international trade,and human activities increasingly disrupt traditional geographic barriers in the oceans,non-indigenous species(NIS)have successfully established themselves outside their native ra...As climate change,international trade,and human activities increasingly disrupt traditional geographic barriers in the oceans,non-indigenous species(NIS)have successfully established themselves outside their native ranges.Outbreaks of NIS can pose significant threats to local ecosystems and economies,making them a critical issue for marine biodiversity and biosecurity.Biological invasions in marine habitats differ significantly from those on land or in freshwater.Detection and identification of NIS in marine habitats is particularly challenging due to difficulties in sampling,morphological identification,and visualization in the early stages of outbreaks.Environmental DNA(eDNA)approaches have emerged as reliable and cost-effective methods for both qualitative and quantitative detection of marine NIS,particularly in the introductory phase.In this review,we summarize recent applications and advances in eDNA-based detection of marine NIS.We emphasize that innovations in eDNA sampling equipment,improvements in detection methods,and further refinement of the reference genomic database for marine species are crucial for the future development of this field.展开更多
Marine protected areas(MPAs)play a critical role in maintaining marine ecosystem health,conserving biodiversity,and sustaining coastal livelihoods and socio-economic benefits.However,MPAs in China still face significa...Marine protected areas(MPAs)play a critical role in maintaining marine ecosystem health,conserving biodiversity,and sustaining coastal livelihoods and socio-economic benefits.However,MPAs in China still face significant design and management limitations,including a lack of a robust scientific basis for boundary delineation,weak enforcement capacity,poor adaptability to environmental and socio-economic changes,and insufficient integration of the ocean’s three-dimensional characteristics.These limitations are particularly evident in the context of climate change,overexploitation of marine resources,and the complex dynamics of ecosystems.This study systematically reviews the current status and challenges of MPAs in China,with a specific focus on the need for and benefits of dynamic and threedimensional protected areas for marine conservation.Dynamic protected areas,supported by real-time monitoring and flexible boundary adjustments,can more effectively respond to the migratory patterns of marine species and seasonal distribution shifts along China’s coast.On the other hand,three-dimensional protected areas enhance ecosystem protection by incorporating vertical ecological gradients and ocean depth,offering a vital complement to the predominantly two-dimensional protection approach currently in use.The study indicates that,with current technological and data capabilities,effective implementation of these advanced approaches requires precision marine observations,advanced analysis methods,and coordinated efforts among diverse stakeholders.In response,the study synthesizes multiple case studies to illustrate the potential ecological,managerial,and policy-related outcomes of dynamic and three-dimensional MPAs.It proposes strategies for optimization,implementation pathways,and targeted policy recommendations.Ultimately,the study emphasizes the critical role of scientific planning and technological innovation in enhancing the effectiveness of MPAs in China.It calls upon policymakers and the broader society to increase attention and investment in dynamic and three-dimensional marine conservation approaches.This work not only provides a scientific foundation for more precise and efficient marine governance in China,but also lays crucial foundation for achieving ocean-related sustainable development goals aligned with China’s national context.展开更多
With the intensification of global warming,marine heatwaves(MHWs)have emerged as a significant extreme hazard,garnering widespread attention and creating a pressing need for accurate prediction.The development of arti...With the intensification of global warming,marine heatwaves(MHWs)have emerged as a significant extreme hazard,garnering widespread attention and creating a pressing need for accurate prediction.The development of artificial intelligence,particularly the application of deep learning to sea surface temperature(SST),has significantly improved the feasibility of predictions.This study utilizes SST and Outgoing Longwave Radiation(OLR)data to train a 3D U-Net model for predicting MHWs in the South China Sea(SCS)with lead times ranging from 1 to 7 days,based on the characteristics of intraseasonal weather processes.Analysis of MHWs occurrences from 1982 to 2023 reveals distinct seasonal patterns,with summer MHWs primarily concentrated in the northern and central SCS,and the highest temperature centers located in the Gulf of Tonkin and west of the Philippines.The 2023 MHW forecast results demonstrate that the 3D U-Net model achieves low error rates and high correlation coefficients with observational data.Incorporating OLR data enhances forecast accuracy compared to SST-only inputs,and training the model exclusively with summer data further improves prediction accuracy.These findings indicate that the proposed method can significantly enhance the accuracy of MHW forecasts.展开更多
Marine heatwaves(MHWs)have become increasingly frequent and persistent in the context of global warming and the related underlying mechanisms are strongly region-dependent.We employed the NOAA(National Oceanic and Atm...Marine heatwaves(MHWs)have become increasingly frequent and persistent in the context of global warming and the related underlying mechanisms are strongly region-dependent.We employed the NOAA(National Oceanic and Atmospheric Administration)CRW(Coral Reef Watch)daily mean sea surface temperature dataset spanning from 1985 to 2022 to comprehensively analyze the fundamental attributes and evolving patterns of marine heatwaves in the offshore waters of China.Eight pronounced marine heatwaves from frequently affected sensitive regions were investigated to explore their formation mechanisms.The relationship between the occurrences of marine heatwave and large-scale climate mode in the region was explored.Results show that the western Pacific subtropical high plays an essential role in triggering marine heatwaves in Chinese offshore waters,with an anomalous downward shortwave radiation flux acting to warm the sea surface,which is remotely associated to the large-scale sea surface temperature state.Distinct mechanisms for the MHWs were identified in the northern and southern offshore waters of China.MHWs in high latitudes(such as the Bohai Sea and the Yellow Sea)mainly occur during the negative phase of the Pacific Decadal Oscillation(PDO),while those in low latitudes(such as the South China Sea)are more common in about 5-month lags behind the El Niño,for which we purposed a mechanism to describe the main differences in the formation of MHWs in China and discussed the related implications.展开更多
With the rapid development of the marine economy,marine microbiologically influenced corrosion(MIC)has garnered increasing attention.However,most studies have not analyzed the MIC process over continuous and extended ...With the rapid development of the marine economy,marine microbiologically influenced corrosion(MIC)has garnered increasing attention.However,most studies have not analyzed the MIC process over continuous and extended periods,failing to provide a comprehensive understanding of MIC mechanisms at different stages.In this study,the corrosion behavior of EH36 steel caused by Halomonas titanicae in an aerobic enriched seawater over a 30-d incubation period was investigated driven by big data.The results revealed that the corrosion by H.titanicae against EH36 steel evolved dynamically over time.During the initial stages,the aerobic respiration of H.titanicae consumed significant amounts of oxygen,which suppressed the cathodic oxygen reduction process,thereby inhibiting corrosion compared to the abiotic conditions.As time progressed,the accumulation of corrosion products slowed the abiotic corrosion,while the biotic corrosion accelerated due to a shift from aerobic to anaerobic respiration by H.titanicae,utilizing Fe0 and nitrate as electron donors and acceptors,respectively.The big data results are consistent with the weight loss and electrochemical data,demonstrating the reliability of using big data monitoring techniques to characterize microbial corrosion processes.展开更多
Blooms of the toxic dinoflagellate Alexandrium spp.,which produce paralytic shellfish toxins(PSTs),have threatened marine ecosystems for decades.However,their impacts on benthic copepods remain underexplored.Here,we i...Blooms of the toxic dinoflagellate Alexandrium spp.,which produce paralytic shellfish toxins(PSTs),have threatened marine ecosystems for decades.However,their impacts on benthic copepods remain underexplored.Here,we investigated the physiological and biochemical responses of marine benthic copepod Tigriopus japonicus to Alexandrium pacificum.Adult female showed no mortality within 24 h and maintained high survival(>80%)across all A.pacificum concentrations over 96 h,with no significant difference from non-toxic controls.Ingestion rates on A.pacificum and non-toxic controls were similar,when algal prey concentrations were lower than about 2500µgC/L.However,above this threshold,feeding of T.japonicus was significantly depressed by A.pacificum.Six-day exposure induced oxidative stress,marked by elevated level of reactive oxygen species,malondialdehyde,total antioxidant capacity and superoxide dismutase activity,while catalase activity showed a non-significant increase.Moreover,concentration-dependent increase was observed in acetylcholinesterase activity,and its positive correlation with oxidative biomarkers suggests additional roles in coping with stress.Chronic exposure over three generations did not consistently affect development,except for complete development failure in F2 and F3 at the highest concentration.However,moderate-to-high concentrations of A.pacificum significantly impaired reproduction,reducing egg production by 9.66%–96.07%and clutch numbers by 33.33%–55.56%.Our findings indicate that Alexandrium blooms can adversely impact benthic copepod feeding and population recruitment through neurotoxicity and oxidative stress,highlighting the ecological risks of prolonged algal blooms in benthic habitats.展开更多
Multiple suppression is an important element of marine seismic data processing.Intelligent suppression of multiples us-ing artificial intelligence reduces labor costs,minimizes dependence on unknown prior information,...Multiple suppression is an important element of marine seismic data processing.Intelligent suppression of multiples us-ing artificial intelligence reduces labor costs,minimizes dependence on unknown prior information,and improves data processing ef-ficiency.In this study,we propose an intelligent method for suppressing marine seismic multiples using deep learning approaches.The proposed method enables the intelligent suppression of free-surface-related multiples from seismic records.Initially,we construct a multi-category marine seismic multiple dataset through finite difference forward modeling under different boundary conditions.We use various models and data augmentation methods,including sample rotation,noise addition,and random channel omission.Then,we apply depthwise separable convolution to develop our deep learning Mobilenet-Unet model.The Mobilenet-Unet framework sig-nificantly reduces the number of operations required for multiple elimination without sacrificing model performance,ultimately reali-zing the optimal multiple suppression model.The trained Mobilenet-Unet is applied to the test set for verification.Moreover,to deter-mine its generalization ability,it is implemented to seismic records containing multiples generated by two marine geophysical models that were not included in the training process.The performance of Mobilenet-Unet is also compared with that of different network structures.The results indicate that,despite its small size,our proposed Mobilenet-Unet deep learning model can rapidly and effective-ly separate multiples in marine seismic data,possessing reasonable generalization ability.展开更多
Harmful algal blooms(HABs)of dinoflagellates pose significant threats to aquaculture,marine ecosystems,and human health.While resting cysts have been well known for their vital roles in initiating HABs of dinoflagella...Harmful algal blooms(HABs)of dinoflagellates pose significant threats to aquaculture,marine ecosystems,and human health.While resting cysts have been well known for their vital roles in initiating HABs of dinoflagellates,mapping results of the cyst abundance and distribution in marine sediments have been also well documented to be a highly valuable predictor,and thus can be used as a basis to assess the risk of HABs.We attempted to establish a framework for the risk assessment of dinoflagellate HABs based mainly on cyst-mapping of marine sediments and a case application of it to the risk assessment of HABs in the Yellow Sea.In the framework,firstly,the targeted marine area subjected to the assessment was determined and gridded into different assessment units according to their geography,administration,and ecological or economic function.Secondly,the dinoflagellate cyst abundance from the surface sediment,HABs records,and the monitoring results of vegetative cells for all or particular species of concern were collected experimentally or by literature search,as three main indicators scored and weighted respectively with different values.The scoring and weighting process was based on scientific reasoning and empirical consideration as detailed in the text.Thirdly,the risk of HABs occurrences for all or any particular species of concern at each site was ranked with five levels according to the calculated risk values.Finally,the final evaluation results were presented with tables,matrix diagrams,and color-coded textual annotations on nautical charts.As a case application,we performed a risk assessment for HABs of target species in the Yellow Sea,which warned high risks of HABs for Karlodinium veneficum,Gymnodinium catenatum,and others.This assessment framework provides a practical and testable tool for all involved stakeholders,and subject to improvement along with the advancement of ecology of HABs.展开更多
文摘【目的】英文科技期刊作为科研成果传播和国际学术交流的重要平台,在我国科技发展中发挥了举足轻重的作用,本文研究旨在为进一步促进我国英文科技期刊国际化发展提供借鉴与实践指导。【方法】本文基于Journal of Marine Science and Application的办刊实践,从如何充分发挥专家办刊优势、多措并举加大宣传力度以及创新出版模式等方面总结和探讨我国英文科技期刊国际影响力提升策略。【结果】国际化办刊对提升我国英文科技期刊国际影响力和知名度具有显著效果。【结论】国际化发展是英文科技期刊的必然途径,对加快推进我国科技期刊建设成为世界一流期刊具有重要意义。
文摘以Journal of Marine Science and Application为例,从聚焦国家重大战略需求、服务一流学科建设、服务广大作者与读者、助力人才培养、服务高校广大师生等方面探讨在“双一流”建设和培育世界一流科技期刊背景下,我国高校英文科技期刊服务能力建设举措及办刊实践。文章认为,高校英文科技期刊应坚持服务国家战略与学科发展并重,通过国际化、专业化、特色化办刊实践,全面提升服务能力,为我国科技强国建设提供有力支撑。
文摘目的:英文科技期刊作为科研成果传播和学术交流的重要载体,对提升我国科技国际竞争力和影响力作出了巨大贡献,文章旨在为进一步促进我国高校英文科技期刊高质量发展提供借鉴与实践指导。方法:基于Journal of Marine Science and Application办刊实践,从打造期刊专家队伍、深耕稿件学术质量、多措并举加大宣传等方面总结和探讨我国高校英文科技期刊学术质量和影响力提升策略。结果:组建高水平专家办刊团队、坚守内容质量生命线以及拓宽期刊国际化发展对全面提升我国高校英文科技期刊综合办刊能力和知名度效果显著。结论:期刊学术质量和影响力提升是我国高校英文科技期刊发展的核心,对加快推进我国科技期刊建设成为世界一流期刊具有重要意义。
文摘Marine environment represents a very important and actual topic.Water bodies cover more than two thirds of the earth’s surface and even after thousands of years,scientists have yet to fully uncover their mysteries.At the same time climate,change has visible effects with a growing dynamics in the last decades and the marine environment is very sensitive to these changes.In order to mitigate the effects of the climate change there is an increasing need of reducing the CO_(2) emissions and from this perspective the marine environment represents an important source of clean renewable energy.
文摘The higher dynamics in the climate change became quite visible in the last decades.Although there are still theories assuming these changes to the cyclic character of the climate,it is obvious that this dynamics is also driven to a large extent by the human activities.According to the Intergovernmental Panel on Climate Change(IPCC),which is the United Nations body for assessing the science related to climate change,various climate scenarios have been designed.
基金supported by the National Natural Science Foundation of China(Grant Nos.42027804,41775026,and 41075012)。
文摘Cirrus clouds play a crucial role in the energy balance of the Earth-atmosphere system.We investigated the spatiotemporal variations of cirrus over the South China Sea(SCS)using satellite data(MOD08,MYD08,CALIPSO)and reanalysis data(MERRA-2)from March 2007 to February 2015(eight years).The horizontal distribution reveals lower cirrus fraction values in the northern SCS and higher values in the southern region,with minima observed in March and April and maxima sequentially occurring in August(northern SCS,NSCS),September(middle SCS,MSCS),and December(southern SCS,SSCS).Vertically,the cirrus fraction peaks in summer and reaches its lowest levels in spring.Opaque cirrus dominates during summer in the NSCS and MSCS,comprising 53.6%and 55.9%,respectively,while the SSCS exhibits a higher frequency of opaque cirrus relative to other cloud types.Subvisible cirrus clouds have the lowest frequency year-round,whereas thin cirrus is most prominent in winter in the NSCS(46.3%)and in spring in the MSCS(45.3%).A case study from September 2021 further explores the influence of ice crystal habits on brightness temperature(BT)over the SCS.Simulations utilizing five ice crystal shapes from the ARTS DDA(Atmospheric Radiative Transfer Simulator Discrete Dipole Approximation)database and the RTTOV 12.4 radiative transfer model reveal that the 8-column-aggregate shape best represents BT in the NSCS and SSCS,while the large-block-aggregate shape performs better in the SSCS.
基金supported by the National Natural Science Foundation of China(Grant No.41276115)the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No. XDA11020302)the National Basic Research Program of China(Grant No. 2010CB428706)
文摘Prevention of annual"green tides"caused by blooms of the green macroalga Ulva prolifera,which have occurred in the Yellow Sea since 2007,has received much attention.Increasing evidence indicates that micro-propagules on the rafts used for Porphyra yezoensis aquaculture along the coastline of Jiangsu Province in China,were the primary source of these green tides.In this study,we investigated the effectiveness of a silicone antifouling coating for preventing the adhesion and germination of U.prolifera micro-propagules on bamboo and nylon ropes,which have been used in rafts for P.yezoensis aquaculture.Our results demonstrated that a coating of silicone(Sylgard 184)containing 1.0 wt.%sodium benzoate(NaB)could reduce the adhesion rate to<5%and completely inhibited the growth of U.prolifera propagules on the coated surfaces.Coating bamboo and nylon ropes with NaB-incorporated silicone thus proved a potentially effective method for controlling the initial biomass accumulation of U.prolifera.
基金Supported by the Regional Innovation Development Joint Fund Project of the National Natural Science Foundation of China(No.U20A2087)the Shiptime Sharing Project of National Natural Science Foundation of China(No.42249911)。
文摘Marine fish diversity in the Beibu Gulf from 2014 to 2022 was analyzed,using various methods including at-sea fisheries resource surveys,fishing port surveys,underwater survey techniques,and data from literature,books,and databases,from which 1059 fish species across 40 orders,166 families,and 503 genera were identified.Among them,Acanthuriformes displayed the highest diversity,followed by Carangiformes and Perciformes.Notably,eight alien species were found in the Beibu Gulf.The International Union for Conservation of Nature(IUCN)Red List assessment revealed 51threatened species,primarily cartilaginous fish.Taxonomic changes affected 88.70%of species due to classification adjustments,misidentifications,and junior synonymy.This study contributed new data of the gulf,including one additional order,six new families,34 new genera,and 81 new species,emphasizing the dynamic nature of marine ecosystems.Fish diversity in the gulf was relatively lower than the broader South China Sea,attributed to limited habitats and survey methods.Different survey methods,such as gill nets,trap nets,and underwater cameras,yielded varying results.Ocean currents may have transported deep-sea species into the Beibu Gulf,leading to accidental records.Research gaps exist in unexplored areas,warranting further investigation.Therefore,the Beibu Gulf hosts significant marine biodiversity,but taxonomic challenges and undiscovered species require new research and conservation efforts.
基金supported by NSFC Shiptime Sharing Project(Nos.42349302,and 42149905)the Hubei Provincial Natural Science Foundation of China(No.2024AFB515)+4 种基金the National Natural Science Foundation of China(Nos.42207173,41831280,and 42176071)the National Key R&D Program of China(No.2024YFC3082500)the Shandong Provincial Natural Science Foundation of China(No.ZR2022QD002)the Shandong Provincial Taishan Scholar Construction Project(No.tsqn202507091)the Shandong Provincial Young Innovators Team(No.2024KJH183).
文摘Low–angle submarine landslides pose a greater threat to offshore infrastructure compared to those with steep sliding angles.Understanding the preparation and triggering mechanism of these low–angle submarine landslides remains a significant challenge.This study focuses on a deformed low–angle submarine landslide in the shelf–slope break of the Pearl River Mouth Basin,South China Sea,integrating sedimentology,geophysics,and geotechnology to investigate potential failure mechanisms.The architecture and deformation characteristics of the submarine landslide were elucidated by analyzing multibeam and seismic data.Within the context of the regional geological history and tectonic framework,this study focuses on the factors(e.g.,rapid sedimentation,fluid activity,and earthquakes)that potentially contributed to the submarine slope failure.Furthermore,a series of stability evaluations considering the effects of rapid sedimentation and earthquakes was conducted.Our findings indicate that the most probable triggering mechanism involves the combined effects of sedimentation controlled by sea–level fluctuations,high–pressure gas activity,and seismic events.The high–pressure gas,which acts as a long–term preconditioning factor by elevating pore pressures and reducing shear resistance within the sediment,accumulated beneath the upper and middle sections of the low–permeability stratum that was formed during sea–level rise and ultimately evolved into the sliding mass.The overpressure generated by gas accumulation predisposed the submarine slope to instability,and a frequent or moderate earthquake ultimately initiated local failure.This study enhances the mechanistic understanding of low–angle slope failures in the shelf–slope break zone and provides critical insights for assessing marine hazard risks.
基金National Natural Science Foundation of China Key Project(No.42050103)Higher Education Disciplinary Innovation Program(No.B25052)+2 种基金the Guangdong Pearl River Talent Program Innovative and Entrepreneurial Team Project(No.2021ZT09H399)the Ministry of Education’s Frontiers Science Center for Deep-Time Digital Earth(DDE)(No.2652023001)Geological Survey Project of China Geological Survey(DD20240206201)。
文摘Since the beginning of the 21st century,advances in big data and artificial intelligence have driven a paradigm shift in the geosciences,moving the field from qualitative descriptions toward quantitative analysis,from observing phenomena to uncovering underlying mechanisms,from regional-scale investigations to global perspectives,and from experience-based inference toward data-and model-enabled intelligent prediction.AlphaEarth Foundations(AEF)is a next-generation geospatial intelligence platform that addresses these changes by introducing a unified 64-dimensional shared embedding space,enabling-for the first time-standardized representation and seamless integration of 12 distinct types of Earth observation data,including optical,radar,and lidar.This framework significantly improves data assimilation efficiency and resolves the persistent problem of“data silos”in geoscience research.AEF is helping redefine research methodologies and fostering breakthroughs,particularly in quantitative Earth system science.This paper systematically examines how AEF’s innovative architecture-featuring multi-source data fusion,high-dimensional feature representation learning,and a scalable computational framework-facilitates intelligent,precise,and realtime data-driven geoscientific research.Using case studies from resource and environmental applications,we demonstrate AEF’s broad potential and identify emerging innovation needs.Our findings show that AEF not only enhances the efficiency of solving traditional geoscientific problems but also stimulates novel research directions and methodological approaches.
基金the Natural Science Foundation of Shandong Province of China(Nos.ZR2022QD080 , ZR2025MS575)the National Natural Science Foundation of China(Nos.W25322063,42250410333,52250410357)+1 种基金the Fundamental Research Funds for the Central Universities,CHD(No.300102263103)the Young Talent Fund of Association for Science and Technology in Shaanxi,China(No.20230703)。
文摘The accurate identification of microporosity is crucial for the characterization of hydrocarbon reservoir permeability and production.Scanning electron microscopy(SEM)is among the limited number of methods available to directly observe the microscopic structure of the hydrocarbon reservoir rocks.Nevertheless,precise segmentation of microscopic pores at different depths in SEM images remains an unsolved challenge,known as the‘depth-related resolution loss'problem.Therefore,in this study,a 3D reconstruction technique for regions of interest(ROI)was developed for in-depth pixel analysis and differentiation among various depths of SEM images.The processed SEM images,together with the processing outcomes of this technique,were used as the input database to train a stochastic depth with multi-channel residual pathways(SdstMcrp)deep learning model programmed in Python to develop a tool for segmenting the microscopic pore spaces in SEM images obtained from the Beibuwan Basin.The more accurate segmentation helped to detect an average of 1.2 times more microporosity in SEM images,accounting for about 1.6 times more pixels and 1.2 times more pore surface area.Finally,the impact of the accurate segmentation on the calculation of permeability,a significant reservoir production property,was investigated using fractal geometry models and sensitivity analysis.The results showed that the obtained permeability values would vary by a factor of 6,which represents a considerable difference.These findings demonstrate that the proposed models can effectively identify features across a wide range of grayscale values in SEM images.
文摘As climate change,international trade,and human activities increasingly disrupt traditional geographic barriers in the oceans,non-indigenous species(NIS)have successfully established themselves outside their native ranges.Outbreaks of NIS can pose significant threats to local ecosystems and economies,making them a critical issue for marine biodiversity and biosecurity.Biological invasions in marine habitats differ significantly from those on land or in freshwater.Detection and identification of NIS in marine habitats is particularly challenging due to difficulties in sampling,morphological identification,and visualization in the early stages of outbreaks.Environmental DNA(eDNA)approaches have emerged as reliable and cost-effective methods for both qualitative and quantitative detection of marine NIS,particularly in the introductory phase.In this review,we summarize recent applications and advances in eDNA-based detection of marine NIS.We emphasize that innovations in eDNA sampling equipment,improvements in detection methods,and further refinement of the reference genomic database for marine species are crucial for the future development of this field.
基金The National Natural Science Foundation of China under contract No.42176173.
文摘Marine protected areas(MPAs)play a critical role in maintaining marine ecosystem health,conserving biodiversity,and sustaining coastal livelihoods and socio-economic benefits.However,MPAs in China still face significant design and management limitations,including a lack of a robust scientific basis for boundary delineation,weak enforcement capacity,poor adaptability to environmental and socio-economic changes,and insufficient integration of the ocean’s three-dimensional characteristics.These limitations are particularly evident in the context of climate change,overexploitation of marine resources,and the complex dynamics of ecosystems.This study systematically reviews the current status and challenges of MPAs in China,with a specific focus on the need for and benefits of dynamic and threedimensional protected areas for marine conservation.Dynamic protected areas,supported by real-time monitoring and flexible boundary adjustments,can more effectively respond to the migratory patterns of marine species and seasonal distribution shifts along China’s coast.On the other hand,three-dimensional protected areas enhance ecosystem protection by incorporating vertical ecological gradients and ocean depth,offering a vital complement to the predominantly two-dimensional protection approach currently in use.The study indicates that,with current technological and data capabilities,effective implementation of these advanced approaches requires precision marine observations,advanced analysis methods,and coordinated efforts among diverse stakeholders.In response,the study synthesizes multiple case studies to illustrate the potential ecological,managerial,and policy-related outcomes of dynamic and three-dimensional MPAs.It proposes strategies for optimization,implementation pathways,and targeted policy recommendations.Ultimately,the study emphasizes the critical role of scientific planning and technological innovation in enhancing the effectiveness of MPAs in China.It calls upon policymakers and the broader society to increase attention and investment in dynamic and three-dimensional marine conservation approaches.This work not only provides a scientific foundation for more precise and efficient marine governance in China,but also lays crucial foundation for achieving ocean-related sustainable development goals aligned with China’s national context.
基金Guangdong Major Project of Basic and Applied Basic Research(2020B0301030004)。
文摘With the intensification of global warming,marine heatwaves(MHWs)have emerged as a significant extreme hazard,garnering widespread attention and creating a pressing need for accurate prediction.The development of artificial intelligence,particularly the application of deep learning to sea surface temperature(SST),has significantly improved the feasibility of predictions.This study utilizes SST and Outgoing Longwave Radiation(OLR)data to train a 3D U-Net model for predicting MHWs in the South China Sea(SCS)with lead times ranging from 1 to 7 days,based on the characteristics of intraseasonal weather processes.Analysis of MHWs occurrences from 1982 to 2023 reveals distinct seasonal patterns,with summer MHWs primarily concentrated in the northern and central SCS,and the highest temperature centers located in the Gulf of Tonkin and west of the Philippines.The 2023 MHW forecast results demonstrate that the 3D U-Net model achieves low error rates and high correlation coefficients with observational data.Incorporating OLR data enhances forecast accuracy compared to SST-only inputs,and training the model exclusively with summer data further improves prediction accuracy.These findings indicate that the proposed method can significantly enhance the accuracy of MHW forecasts.
基金Supported by the National Natural Science Foundation of China(No.41905089)the Laoshan Laboratory(No.LSKJ202202404)+1 种基金the Startup Foundation for Introducing Talent of NUIST,Jiangsu Innovation Research Group(No.JSSCTD202346)the Undergraduates Innovation and Entrepreneurship Training Program of Jiangsu Province(No.202310300087Y)。
文摘Marine heatwaves(MHWs)have become increasingly frequent and persistent in the context of global warming and the related underlying mechanisms are strongly region-dependent.We employed the NOAA(National Oceanic and Atmospheric Administration)CRW(Coral Reef Watch)daily mean sea surface temperature dataset spanning from 1985 to 2022 to comprehensively analyze the fundamental attributes and evolving patterns of marine heatwaves in the offshore waters of China.Eight pronounced marine heatwaves from frequently affected sensitive regions were investigated to explore their formation mechanisms.The relationship between the occurrences of marine heatwave and large-scale climate mode in the region was explored.Results show that the western Pacific subtropical high plays an essential role in triggering marine heatwaves in Chinese offshore waters,with an anomalous downward shortwave radiation flux acting to warm the sea surface,which is remotely associated to the large-scale sea surface temperature state.Distinct mechanisms for the MHWs were identified in the northern and southern offshore waters of China.MHWs in high latitudes(such as the Bohai Sea and the Yellow Sea)mainly occur during the negative phase of the Pacific Decadal Oscillation(PDO),while those in low latitudes(such as the South China Sea)are more common in about 5-month lags behind the El Niño,for which we purposed a mechanism to describe the main differences in the formation of MHWs in China and discussed the related implications.
基金financially supported by the National Natural Science Foundation of China(Nos.U2106206,52471079,42276212,and 42176043)the Natural Science Foundation of Shandong Province(ZR2024ME047)+1 种基金the National Materials Corrosion and Protection Data Center(No.2023DATAFU20-01)The authors wish to acknowledge Sen Wang,Haiyan Yu,Xiaomin Zhao from State Key Laboratory of Microbial Technology,Shandong University for the assistance in the SEM analysis。
文摘With the rapid development of the marine economy,marine microbiologically influenced corrosion(MIC)has garnered increasing attention.However,most studies have not analyzed the MIC process over continuous and extended periods,failing to provide a comprehensive understanding of MIC mechanisms at different stages.In this study,the corrosion behavior of EH36 steel caused by Halomonas titanicae in an aerobic enriched seawater over a 30-d incubation period was investigated driven by big data.The results revealed that the corrosion by H.titanicae against EH36 steel evolved dynamically over time.During the initial stages,the aerobic respiration of H.titanicae consumed significant amounts of oxygen,which suppressed the cathodic oxygen reduction process,thereby inhibiting corrosion compared to the abiotic conditions.As time progressed,the accumulation of corrosion products slowed the abiotic corrosion,while the biotic corrosion accelerated due to a shift from aerobic to anaerobic respiration by H.titanicae,utilizing Fe0 and nitrate as electron donors and acceptors,respectively.The big data results are consistent with the weight loss and electrochemical data,demonstrating the reliability of using big data monitoring techniques to characterize microbial corrosion processes.
基金the Marine S&T Fund of Shandong Province for Pilot National Laboratory for Marine Science and Technology(Qingdao)(No.LSKJ202203206)the Fundamental Research Funds for the Central Universities(No.202161069)。
文摘Blooms of the toxic dinoflagellate Alexandrium spp.,which produce paralytic shellfish toxins(PSTs),have threatened marine ecosystems for decades.However,their impacts on benthic copepods remain underexplored.Here,we investigated the physiological and biochemical responses of marine benthic copepod Tigriopus japonicus to Alexandrium pacificum.Adult female showed no mortality within 24 h and maintained high survival(>80%)across all A.pacificum concentrations over 96 h,with no significant difference from non-toxic controls.Ingestion rates on A.pacificum and non-toxic controls were similar,when algal prey concentrations were lower than about 2500µgC/L.However,above this threshold,feeding of T.japonicus was significantly depressed by A.pacificum.Six-day exposure induced oxidative stress,marked by elevated level of reactive oxygen species,malondialdehyde,total antioxidant capacity and superoxide dismutase activity,while catalase activity showed a non-significant increase.Moreover,concentration-dependent increase was observed in acetylcholinesterase activity,and its positive correlation with oxidative biomarkers suggests additional roles in coping with stress.Chronic exposure over three generations did not consistently affect development,except for complete development failure in F2 and F3 at the highest concentration.However,moderate-to-high concentrations of A.pacificum significantly impaired reproduction,reducing egg production by 9.66%–96.07%and clutch numbers by 33.33%–55.56%.Our findings indicate that Alexandrium blooms can adversely impact benthic copepod feeding and population recruitment through neurotoxicity and oxidative stress,highlighting the ecological risks of prolonged algal blooms in benthic habitats.
基金supported by the Key Laboratory of Ma-rine Mineral Resources,Ministry of Natural Resources,Guangzhou(No.KLMMR-2022-G09)the Guangzhou Ba-sic Research Program-Basic and Basic Applied Research Project(No.2023A04J0917)the PI Project of South-ern Marine Science and Engineering Guangdong Labora-tory(Guangzhou)(No.GML2020GD0802).
文摘Multiple suppression is an important element of marine seismic data processing.Intelligent suppression of multiples us-ing artificial intelligence reduces labor costs,minimizes dependence on unknown prior information,and improves data processing ef-ficiency.In this study,we propose an intelligent method for suppressing marine seismic multiples using deep learning approaches.The proposed method enables the intelligent suppression of free-surface-related multiples from seismic records.Initially,we construct a multi-category marine seismic multiple dataset through finite difference forward modeling under different boundary conditions.We use various models and data augmentation methods,including sample rotation,noise addition,and random channel omission.Then,we apply depthwise separable convolution to develop our deep learning Mobilenet-Unet model.The Mobilenet-Unet framework sig-nificantly reduces the number of operations required for multiple elimination without sacrificing model performance,ultimately reali-zing the optimal multiple suppression model.The trained Mobilenet-Unet is applied to the test set for verification.Moreover,to deter-mine its generalization ability,it is implemented to seismic records containing multiples generated by two marine geophysical models that were not included in the training process.The performance of Mobilenet-Unet is also compared with that of different network structures.The results indicate that,despite its small size,our proposed Mobilenet-Unet deep learning model can rapidly and effective-ly separate multiples in marine seismic data,possessing reasonable generalization ability.
基金Supported by the National Key Research and Development Program of China(No.2022 YFC 3105201)the Science and Technology Innovation Project of Laoshan Laboratory(No.LSKJ 202203700)the Shandong Province Natural Science Foundation(No.ZR 2021 QD 025)。
文摘Harmful algal blooms(HABs)of dinoflagellates pose significant threats to aquaculture,marine ecosystems,and human health.While resting cysts have been well known for their vital roles in initiating HABs of dinoflagellates,mapping results of the cyst abundance and distribution in marine sediments have been also well documented to be a highly valuable predictor,and thus can be used as a basis to assess the risk of HABs.We attempted to establish a framework for the risk assessment of dinoflagellate HABs based mainly on cyst-mapping of marine sediments and a case application of it to the risk assessment of HABs in the Yellow Sea.In the framework,firstly,the targeted marine area subjected to the assessment was determined and gridded into different assessment units according to their geography,administration,and ecological or economic function.Secondly,the dinoflagellate cyst abundance from the surface sediment,HABs records,and the monitoring results of vegetative cells for all or particular species of concern were collected experimentally or by literature search,as three main indicators scored and weighted respectively with different values.The scoring and weighting process was based on scientific reasoning and empirical consideration as detailed in the text.Thirdly,the risk of HABs occurrences for all or any particular species of concern at each site was ranked with five levels according to the calculated risk values.Finally,the final evaluation results were presented with tables,matrix diagrams,and color-coded textual annotations on nautical charts.As a case application,we performed a risk assessment for HABs of target species in the Yellow Sea,which warned high risks of HABs for Karlodinium veneficum,Gymnodinium catenatum,and others.This assessment framework provides a practical and testable tool for all involved stakeholders,and subject to improvement along with the advancement of ecology of HABs.
