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Adaptive Integrated coastal Zone Planning:History,Challenges,Advances,and Perspectives

Chinese Geographical Science 2024年第4期34卷 599-617页

作者： WANG Xinyi SU Fenzhen WANG Xuege PAN Tingting CUI Yikun LYNE Vincent YAN Fengqin State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China College of Resources and Environment University of Chinese Academy of ScienceBeijing 100049China School of Geography and Ocean sciences Nanjing UniversityNanjing 210023China Institute for marine and Antarctic Studies University of TasmaniaTasmania 7004Australia

coastal zones are dynamic,rich environments,now densely populated,and increasingly challenged by human and climatechange *** long-term integrated coastal zone planning is needed to ensure sustainable environmental protection and economic *** this study,we reviewed the history of coastal zone planning since its birth in the 1950s based on the literature retrieved from the Web of Science(Core Collection)from 2000–2023,then summarized the tools and spatial allocation methods commonly used in the planning process,and finally proposed potential solutions to the challenges *** results show that after decades of development,coastal zone planning has changed from a decentralized activity to a targeted and integrated one,with an increasing emphasis on the ecosystem approach and the use of multiple planning *** analysis techniques and environmental modelling software have become increasingly *** programming and overlay analysis are common approaches when performing spatial optimization,but land-sea interactions and planning in the marine parts still lack in-depth analysis and practical *** are also aware that the challenges posed by the integration of administrative hierarchies,scoping and conservation objectives,stakeholder participation,consideration of social dimensions,and climate change are pervasive throughout the planning *** is an urgent need to develop more flexible and accurate spatial modelling tools,as well as more efficient participatory methods,and to focus on the holistic nature of the land-sea system to create more resilient and sustainable coastal zones.

关键词： Integrated coastal Zone Management(ICZM) coastal zone planning spatial optimization ecosystem-based management

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Depositional Environment, Petrophysical Evaluation and Electrical Properties of Zeit Formation, Northwestern Shore of Gulf of Suez, Egypt

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Journal of Earth Science 2024年第5期35卷 1720-1737页

作者： Mohamed M.Gomaa Emad A.Abd El Aziz Geophysical sciences department National Research Centre

The Zeit sand reservoir is one of the most prolific formations at Northwestern side of the Gulf of Suez. In this research we will try to coordinate between electrical, petrophysical properties, depositional environment and facies discrimination in order to evaluate the hydrocarbon potentiality of studied Zeit Formation. The statistical parameters for potassium（K）, thorium（Th） and Th/U ratio contents have a general increase towards northwestern parts, whereas uranium（U） content has a general increase towards southeastern parts. The sandstone facies is distinguished from the other facies by its thorium content >4 ppm. U has high carbonate content（U ≥ 1 ppm）. Rocks' electrical properties vary greatly depending on a number of factors. Electrical measurements were taken at frequencies range of(5 × 10-4Hz–100 kHz) for fully saturated samples（clayey sandstone） with NaCl（20 gm/L）. As salinity, clay content, and frequency increase, consequently does the electrical properties. The continental condition are present in northwestern part（back-sea） which is distinguished by high K percent, high Th, high Th/U ratio, and low U contents. Low K, Th, and Th/U ratio contents, with high U contents, characterize the marine depositional environment that existed around the east and southeastern parts（foresea coincide with the dipping of strata）. Furthermore, the studied Zeit Formation has good petrophysical properties that coincide with marine conditions. The middle and eastern parts（around ISS-94 and CSS-288） is a good reservoir（porosity 36%–39%, shale content <15%, hydrocarbon saturation 71%–92%, and net pay thickness 17–63 feet）.

关键词： Zeit Formation petrophysical evaluation depositional environment Spectral Gamma Ray electrical properties gulf of Suez sedimentology

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Progress of vegetation modelling and future research prospects

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Science China Earth sciences 2024年第9期67卷 2718-2738页

作者： Siqi LI Xu ZHANG Zhengyao LU Jian NI Jianhua LU State Key Laboratory of Tibetan Plateau Earth System Resources and Environment(TPESRE)Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100101China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China British Antarctic Survey Cambridge CB30ETUnited Kingdom department of Physical Geography and Ecosystem Science Lund UniversityLund 22362Sweden College of Life sciences Zhejiang Normal UniversityJinhua 321004China School of Atmospheric sciences Sun Yat-sen University and Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)Zhuhai 519082China

Terrestrial vegetation is a crucial component of the Earth system,and its changes not only represent one of the most distinct aspects of climate change but also exert significant feedback within the climate system by exchanging energy,moisture,and carbon *** quantitatively and mechanistically study climate-vegetation feedback,numerical vegetation models have been developed on the theory of ecophysiological constraints on plant functional *** models eventually can simulate vegetation distribution and succession across different spatial and temporal scales,and associated terrestrial carbon cycle processes by categorizing vegetation into biomes according different plant functional types and their associated environmental *** we review the developing history of vegetation models and provide recent advances and future *** 21st century,static vegetation models,as developed statistical models,can only simulate equilibrated characteristics of vegetation *** last several decades,Dynamic Global Vegetation Models(DGVMs)have been developed to simulate instantaneous responses of vegetation to climate change and associated dynamics,and can be coupled with Earth system models to investigate interactions among atmosphere,ocean,and *** are also widely applied to investigate the dynamics accounting for changes in the geographic distribution patterns of land surface vegetation at different spatial and temporal scales and to assess the impacts of terrestrial carbon and water fluxes and land use *** suggest that future vegetation modeling could integrate with machine learning,and explore vegetation transient response and feedback as well as impacts of process hierarchies and human activities on climate and ecosystem.

关键词： Vegetation models DGVMs Ecosystems Plant functional types Plant functional traits

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Toward a Learnable Climate Model in the Artificial Intelligence Era

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Advances in Atmospheric sciences 2024年第7期41卷 1281-1288页

作者： Gang HUANG Ya WANG Yoo-Geun HAM Bin MU Weichen TAO Chaoyang XIE State key Laboratory of Numerical Modeling for Atmospheric sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Laboratory for Regional Oceanography and Numerical Modeling Qingdao National Laboratory for Marine Science and TechnologyQingdao 266237China University of Chinese Academy of sciences Beijing 100049China department of Environmental Planning Graduate School of Environmental StudiesSeoul National UniversitySeoul 08826South Korea School of Software Engineering Tongji UniversityShanghai 200092China

Artificial intelligence(AI)models have significantly impacted various areas of the atmospheric sciences,reshaping our approach to climate-related *** this AI-driven transformation,the foundational role of physics in climate science has occasionally been *** perspective suggests that the future of climate modeling involves a synergistic partnership between AI and physics,rather than an“either/or”*** controversies around current physical inconsistencies in large AI models,we stress the critical need for detailed dynamic diagnostics and physical ***,we provide illustrative examples to guide future assessments and constraints for AI *** AI integration with numerical models,we argue that offline AI parameterization schemes may fall short of achieving global optimality,emphasizing the importance of constructing online ***,we highlight the significance of fostering a community culture and propose the OCR(Open,Comparable,Reproducible)*** a better community culture and a deep integration of physics and AI,we contend that developing a learnable climate model,balancing AI and physics,is an achievable goal.

关键词： artificial intelligence deep learning learnable climate model

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Morphological,phylogenetic and metabolite profile of Prorocentrum clipeus,a newly recorded epiphytic dinoflagellate in the northern Yellow Sea

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Acta Oceanologica Sinica 2024年第8期43卷 128-141页

作者： Ruifang Wang Mengmeng Tong Shiwen Zhou Junjie Zheng Wenguang Zhang Xinfeng Dai Douding Lu Jiarong Hu Tianze Leng Qinglin Mu Zhongyong Yan Jiangning Zeng Pengbin Wang Ocean College Zhejiang UniversityZhoushan 316021China Key Laboratory of marine Ecosystem Dynamics Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China The State Key Laboratory of marine Pollution Department of Biomedical SciencesCity University of Hong KongHong Kong SAR 999077China Zhejiang marine Ecology and Environment Monitoring Center Zhoushan 316000China

More than 30 species of benthic Prorocentrum have been identified,some of which produce okadaic acid(OA)and its derivatives,dinophysistoxins(DTXs),which cause diarrhetic shellfish poisoning(DSP).Increasing numbers of benthic Prorocentrum species have been reported in tropical and subtropical waters of *** contrast,only a few benthic Prorocentrum species have been reported in temperate *** this study,morphological descriptions obtained using light microscopy,scanning electron microscopy and molecular characterization of one Prorocentrum clipeus strain isolated from the Yellow Sea are *** clipeus cells were nearly circular in shape,with a collar,ridge,and one *** periflagellar area was wide U-shaped,with two curved projections on platelet *** periflagellar platelets of different sizes were *** morphology closely fits that of the species isolated from other *** analysis based on the molecular sequences of the small subunit(SSU)rDNA,internal transcribed spacer(ITS),and large subunit(LSU)rDNA was performed.A comprehensive metabolomic analysis incorporating target,suspect and non-target screenings was first applied to investigate the intracellular and extracellular metabolite profiles of the current isolate of *** to the results of the target and suspect screenings,179 metabolites or toxins produced by DSP-related algal species,including OA,dinophysistoxin-1(DTX1),dinophysistoxin-2(DTX2)and pectenotoxin-2(PTX2),were not ***-target screening involving feature-based molecular networking(FBMN)provided a global view of major metabolites produced by the *** DF128 strain and revealed 23 clusters belonging to at least 13 compound classes,with organometallic compounds,lipids and lipid-like molecules,phenylpropanoids and polyketides,and benzenoids as major *** date,this is the first record of the characterization of *** in samples from Chinese *** results suppo

关键词： Prorocentrum taxonomy phylogeny metabolite profiling Yellow Sea

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Incorporating physiological knowledge into correlative species distribution models minimizes bias introduced by the choice of calibration area

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marine Life Science & Technology 2024年第2期6卷 349-362页

作者： Zhixin Zhang Jinxin Zhou Jorge García Molinos Stefano Mammola Ákos Bede‑Fazekas Xiao Feng Daisuke Kitazawa Jorge Assis Tianlong Qiu Qiang Lin CAS Key Laboratory of Tropical marine Bio-resources and Ecology South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China Guangdong Provincial Key Laboratory of Applied marine Biology South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China marine Biodiversity and Ecological Evolution Research Center South China Sea Institute of OceanologyGuangzhou 510301China Global Ocean and Climate Research Center South China Sea Institute of OceanologyGuangzhou 510301China Institute of Industrial Science The University of Tokyo5-1-5 KashiwanohaKashiwaChiba 277-8574Japan Arctic Research Center Hokkaido UniversitySapporoHokkaido 001-0021Japan Finnish Museum of Natural History University of HelsinkiHelsinkiFinland Molecular Ecology Group(MEG) Water Research Institute(IRSA)National Research Council of Italy(CNR)28922 Verbania PallanzaItaly National Biodiversity Future Center(NBFC) PalermoItaly Institute of Ecology and Botany HUN-REN Centre for Ecological ResearchVácrátótHungary department of Environmental and Landscape Geography ELTE Eötvös Loránd UniversityBudapestHungary department of Biology University of North CarolinaChapel HillNC 27599USA Centre of marine sciences University of AlgarveCampus de GambelasFaroPortugal CAS Key Laboratory of Experimental marine Biology Institute of OceanologyChinese Academy of SciencesQingdao 266071China University of Chinese Academy of sciences Beijing 100049China

Correlative species distribution models(SDMs)are important tools to estimate species’geographic distribution across space and time,but their reliability heavily relies on the availability and quality of occurrence *** can be biased when occurrences do not fully represent the environmental requirement of a *** tested to what extent species’physiological knowledge might influence SDM *** on the Japanese sea cucumber Apostichopus japonicus within the coastal ocean of East Asia,we compiled a comprehensive dataset of occurrence *** then explored the importance of incorporating physiological knowledge into SDMs by calibrating two types of correlative SDMs:a naïve model that solely depends on environmental correlates,and a physiologically informed model that further incorporates physiological information as *** further tested the models’sensitivity to calibration area choices by fitting them with different buffered areas around known *** with naïve models,the physiologically informed models successfully captured the negative influence of high temperature on *** and were less sensitive to the choice of calibration *** naïve models resulted in more optimistic prediction of the changes of potential distributions under climate change(i.e.,larger range expansion and less contraction)than the physiologically informed *** findings highlight benefits from incorporating physiological information into correlative SDMs,namely mitigating the uncertainties associated with the choice of calibration *** these promising features,we encourage future SDM studies to consider species physi-ological information where available.

关键词： Bayesian approach Climate change Habitat suitability Physiological knowledge Species distribution model

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A Quasi-Linear Relationship between Planetary Outgoing Longwave Radiation and Surface Temperature in a Radiative-Convective-Transportive Climate Model of a Gray Atmosphere

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Advances in Atmospheric sciences 2024年第1期41卷 8-18页

作者： Jie SUN Michael SECOR Ming CAI Xiaoming HU department of Earth Oceanand Atmospheric ScienceFlorida State UniversityTallahasseeFlorida 32304USA School of Atmospheric sciences Sun Yat-sen University and Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)Zhuhai 519082China Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies Zhuhai 519082China

In this study,we put forward a radiative-convective-transportive energy balance model of a gray atmosphere to examine individual roles of the greenhouse effect of water vapor,vertical convection,and atmospheric poleward energy transport as well as their combined effects for a quasi-linear relationship between the outgoing longwave radiation(OLR)and surface temperature(T_(S)).The greenhouse effect of water vapor enhances the meridional gradient of surface temperature,thereby directly contributing to a quasi-linear OLR-T_(S) *** atmospheric poleward energy transport decreases the meridional gradient of surface *** a result of the poleward energy transport,tropical(high-latitude)atmosphere-surface columns emit less(more)OLR than the solar energy input at their respective locations,causing a substantial reduction of the meridional gradient of the *** combined effect of reducing the meridional gradients of both OLR and surface temperature by the poleward energy transport also contributes to the quasi-linear OLR-T_(S) *** convective energy transport reduces the meridional gradient of surface temperature without affecting the meridional gradient of OLR,thereby suppressing part of the reduction to the increasing rate of OLR with surface temperature by the greenhouse effect of water vapor and poleward energy *** of the nature of the energy balance in the climate system,such a quasi-linear relationship is also a good approximation for the relationship between the annual-mean net downward solar energy flux at the top of the atmosphere and surface temperature.

关键词： outgoing longwave radiation greenhouse effect poleward energy transport

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On the Range of Action of Adult Culex pipiens s.l.

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Journal of Biosciences and Medicines 2024年第3期12卷 113-121页

作者： Maria da Conceição Proença Maria Teresa Rebelo department of Physics and MARE-ULisboa Marine and Environmental Sciences Centre & ARNET Aquatic Research Infrastructure Network Associated Laboratory Faculty of Sciences University of Lisbon Lisbon Portugal department of Animal Biology and CESAM_Ciências Centre for Environmental and Marine Studies Faculty of Sciences University of Lisbon Lisbon Portugal

Mosquitoes are an interesting topic due to their medical importance, as they play an active role in the transmission of many pathogens and parasites, acting as vectors for various pathologies that are deadly to humans, such as dengue, yellow fever, chikungunya, West Nile virus, encephalitis and malaria, among many others that are less common. In terms of morbidity and mortality caused by vector-borne diseases, mosquitoes are the most dangerous animals for humanity and, although they also play a role in the ecosystem as a food source for other organisms, their importance for public health cannot be overlooked. As highly efficient vectors, they put more than three billion people at risk, mainly in tropical and subtropical regions as well as in Europe, since heat waves and flooding are becoming more frequent and severe, and summers are getting longer and warmer, accelerating mosquito development, biting rates, and the incubation of the pathogens within their bodies. Female mosquitoes bite to acquire proteins for the development of their ovaries and eggs and, in the process, acquire pathogens and/or parasites from one vertebrate host and transmit them to another, usually after a short period of replication. Three of their four life stages are lived in still freshwater, so it is crucial to understand their range of action when they reach adulthood and leave the water, in order to plan and implement local prevention measures. A set of georeferenced abundance data collected in mainland Portugal over seven years was linked to cartographed water bodies in a geographic information system to estimate the distances at which Culex pipiens s.l. had a significant presence, with criteria based on the size of the catches. The result allows for an estimate of the fly range of those mosquitoes, which can be used to focus countermeasures.

关键词： Mosquito Fly Distance Vector-Borne Diseases Culex pipiens s.l. Geographic Information Systems

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Evolution and Governance of the Structure of marine Economic Networks in China’s coastal Areas: Based on Sea-related A-share Listed Companies

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Chinese Geographical Science 2024年第5期34卷 899-916页

作者： LI Bo CAO Gai Key Research Base of Humanities and Social sciences of Ministry of Education Institute of Marine Sustainable DevelopmentLiaoning Normal UniversityDalian 116029China School of Maritime Economics and Management Dalian Maritime UniversityDalian 116026China

Data on discrete,isolated attributes of the marine economy are often used in traditional marine economic ***,as the focus of urban research shifts from internal static attributes to external dynamic linkages,the importance of marine economic net-work research is beginning to *** construction of the marine economic network in China’s coastal areas is necessary to change the flow of land and sea resources and optimize regional marine economic *** data from headquarters and branches of sea-related A-share listed enterprises to construct the marine economic network in China,we use social network analysis(SNA)to discuss the characteristics of its evolution as of 2010,2015,and 2020 and its *** following results were obtained.1)In terms of topological characteristics,the scale of the marine economic network in China’s coastal areas has accelerated and expan-ded,and the connections have become increasingly close;thus,this development has complex network characteristics.2)In terms of spatial structure,the intensity of the connection fluctuates and does not form stable development support;the group structure gradually becomes clear,but the overall pattern is fragmented;there are spatial differences in marine economic agglomeration radiation;the radi-ation effect of the eastern marine economic circle is obvious;and the polarization effect of northern and southern marine economic circles is *** this basis,we construct a framework for the governance of a marine economic network with the market,the government,and industry as the three governing *** clarifying the driving factors and building objectives of marine economic network construction,this study aims to foster the high-quality development of China’s marine economy.

关键词： marine economic network sea-related A-share listed companies social network analysis(SNA) network governance China’s coastal areas

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Efficient People Detection with Infrared Images

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Journal of Computer and Communications 2024年第4期12卷 31-39页

作者： Maria da Conceição Proença marine and Environmental sciences Centre & ARNET Aquatic Research Infrastructure Network Associated Laboratory Department of Physics Faculty of Sciences University of Lisbon Lisbon Portugal

This work focuses on the problem of monitoring the coastline, which in Portugal’s case means monitoring 3007 kilometers, including 1793 maritime borders with the Atlantic Ocean to the south and west. The human burden on the coast becomes a problem, both because erosion makes the cliffs unstable and because pollution increases, making the fragile dune ecosystem difficult to preserve. It is becoming necessary to increase the control of access to beaches, even if it is not a popular measure for internal and external tourism. The methodology described can also be used to monitor maritime borders. The use of images acquired in the infrared range guarantees active surveillance both day and night, the main objective being to mimic the infrared cameras already installed in some critical areas along the coastline. Using a series of infrared photographs taken at low angles with a modified camera and appropriate filter, a recent deep learning algorithm with the right training can simultaneously detect and count whole people at close range and people almost completely submerged in the water, including partially visible targets, achieving a performance with F1 score of 0.945, with 97% of targets correctly identified. This implementation is possible with ordinary laptop computers and could contribute to more frequent and more extensive coverage in beach/border surveillance, using infrared cameras at regular intervals. It can be partially automated to send alerts to the authorities and/or the nearest lifeguards, thus increasing monitoring without relying on human resources.

关键词： Beach Overload People Counting Border Control People Detection Deep Learning Methods Remote Surveillance

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