Pub Date : 2002-01-01DOI: 10.1016/S1369-9350(00)00005-5
Andrew W. Leising
{"title":"Copepod foraging in thin layers using SEARCH (Simulator for Exploring Area-Restricted search in Complex Habitats)","authors":"Andrew W. Leising","doi":"10.1016/S1369-9350(00)00005-5","DOIUrl":"https://doi.org/10.1016/S1369-9350(00)00005-5","url":null,"abstract":"","PeriodicalId":100884,"journal":{"name":"Marine Models","volume":"2 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2002-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1369-9350(00)00005-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72122449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-01-01DOI: 10.1016/S1369-9350(01)00003-7
Uffe Høgsbro Thygesen, Thomas Kiørboe
{"title":"A Matlab environment for analysis of fluid flow and transport around a translating sphere","authors":"Uffe Høgsbro Thygesen, Thomas Kiørboe","doi":"10.1016/S1369-9350(01)00003-7","DOIUrl":"https://doi.org/10.1016/S1369-9350(01)00003-7","url":null,"abstract":"","PeriodicalId":100884,"journal":{"name":"Marine Models","volume":"2 1","pages":"35-56"},"PeriodicalIF":0.0,"publicationDate":"2002-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1369-9350(01)00003-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72122448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1999-12-01DOI: 10.1016/S1369-9350(99)00002-4
T.J. Sherwin
LAGCARTW (Lagrange Cartesian suite for Windows) provides a simple method for simulating and understanding diffusion using computer animations of random walk particles. The model is useful for teaching and demonstration purposes, but may also be used in an investigative mode—the suite optionally produces output files of particle positions which can be used in subsequent analysis. Current velocities (defined as a series of tidal harmonics) are defined over the model domain, and particles can be discharged from a series of outfalls, reflected or absorbed by boundaries, and allowed to decay. The program also allows a variable diffusion coefficient in the vertical plane. The input file can be altered quite easily via a separate interactive program. A series of demonstration files, used to illustrate examples of diffusion problems, are provided.
{"title":"LAGCARTW","authors":"T.J. Sherwin","doi":"10.1016/S1369-9350(99)00002-4","DOIUrl":"https://doi.org/10.1016/S1369-9350(99)00002-4","url":null,"abstract":"<div><p><span>LAGCARTW (Lagrange Cartesian suite for Windows) provides a simple method for simulating and understanding diffusion using computer animations of random walk particles. The model is useful for teaching and demonstration purposes, but may also be used in an investigative mode—the suite optionally produces output files of particle positions which can be used in subsequent analysis. Current velocities (defined as a series of tidal harmonics) are defined over the model domain, and particles can be discharged from a series of outfalls, reflected or absorbed by boundaries, and allowed to decay. The program also allows a variable </span>diffusion coefficient in the vertical plane. The input file can be altered quite easily via a separate interactive program. A series of demonstration files, used to illustrate examples of diffusion problems, are provided.</p></div>","PeriodicalId":100884,"journal":{"name":"Marine Models","volume":"1 1","pages":"Pages 83-102"},"PeriodicalIF":0.0,"publicationDate":"1999-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1369-9350(99)00002-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72123288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1999-12-01DOI: 10.1016/S0079-6611(99)00003-8
James P. Scandol
CotSim is a size-structured metapopulation model of the crown-of-thorns (Acanthaster planci) on the central Great Barrier Reef (GBR). The populations of starfish and the coral cover on 269 individual reefs are modelled for up to 200 years. Starfish are represented as larvae, two age classes of juveniles and three size classes of adults. Coral can either be modelled as a single type or as two types each with a characteristic growth rate, equilibrium cover and susceptibility to starfish predation. Reefs are connected using simulated dispersal data for A. planci on the central GBR. These data were generated using a particle tracking program where simulated currents displaced particles representing dispersing larvae after an A. planci spawning episode. The dispersal data represented patterns expected from the 1976/77 to 1989/90 spawning season. The starfish growth model is a density-dependent matrix model. When coral cover is low, survival within classes is low and the transitions into larger classes is impeded. In contrast, at high coral cover the reverse patterns occur. Both the starfish and coral data are filtered through an interpretation model to generate observed patterns. The starfish interpretation model represents the important difficulty in detecting smaller adults. Results from the model using the default parameters correspond with published patterns of starfish/coral dynamics and the overall patterns of starfish outbreaks on the GBR.
The model is an interactive event-driven 32-bit Windows application requiring Windows 95 or Windows NT 3.51/4.0. Most parameters are able to be altered by the user with three tabbed dialogue boxes (for the simulation, starfish and coral parameters). Biologically justifiable default parameters are provided for all parameters. Parameters and initial starfish populations are stored in simple coded ASCII files. Simulations are controlled using ‘Run’, ‘Pause/Continue’ and ‘Stop’ operations. Maps of the GBR illustrate the spatial and temporal structure of the metapopulation dynamics including the patterns of dispersal. Once paused, populations on individual reefs can be examined using two types of plots (time series and single time bar charts). Overall patterns can be displayed using latitude versus time plots of observed reef state. Starfish populations and coral cover can be edited, which enables users of the model to become associated with some of the key issues regarding large-scale starfish control programs. Results from the model can be written to ASCII files for additional analysis. The speed of a simulation is able to be controlled and colours for important graphical elements can be altered. CotSim includes indexed online context-sensitive help and a graphical install routine. The program adheres to published guidelines for Windows applications.
CotSim是大堡礁中部棘冠(Acanthaster planci)的一个大小结构集合种群模型。269个珊瑚礁上的海星种群和珊瑚覆盖被建模长达200年。海星表现为幼虫、两个年龄级别的幼体和三个大小级别的成虫。珊瑚可以建模为单一类型,也可以建模为两种类型,每种类型都具有特征性的生长速度、平衡覆盖率和对海星捕食的易感性。使用中央GBR上A.planci的模拟扩散数据连接珊瑚礁。这些数据是使用粒子跟踪程序生成的,在粒子跟踪程序中,模拟的洋流置换了代表在a.planci产卵期后分散的幼虫的粒子。扩散数据代表了1976/77年至1989/90年产卵季节的预期模式。海星生长模型是一个密度相关的矩阵模型。当珊瑚覆盖率较低时,类内的存活率较低,向较大类的过渡受到阻碍。相比之下,在珊瑚覆盖率较高的地方,会出现相反的模式。海星和珊瑚的数据都通过解释模型进行过滤,以生成观测到的模式。海星解释模型代表了检测较小成虫的重要困难。使用默认参数的模型结果与GBR上已发布的海星/珊瑚动力学模式和海星爆发的总体模式相对应。该模型是一个交互式事件驱动的32位Windows应用程序,需要Windows 95或Windows NT 3.51/4.0。用户可以通过三个选项卡对话框(用于模拟、海星和珊瑚参数)更改大多数参数。为所有参数提供生物学上合理的默认参数。参数和初始海星种群存储在简单编码的ASCII文件中。模拟使用“运行”、“暂停/继续”和“停止”操作进行控制。GBR地图说明了集合种群动态的空间和时间结构,包括扩散模式。一旦暂停,可以使用两种类型的图(时间序列图和单时间条形图)来检查单个珊瑚礁上的种群。可以使用观测到的珊瑚礁状态的纬度与时间图来显示总体模式。海星种群和珊瑚覆盖率可以编辑,这使得模型的用户能够与大规模海星控制计划的一些关键问题联系起来。可以将模型的结果写入ASCII文件以进行额外的分析。可以控制模拟的速度,并且可以更改重要图形元素的颜色。CotSim包括索引的在线上下文相关帮助和图形安装例程。该程序遵循已发布的Windows应用程序指南。
{"title":"CotSim—an interactive Acanthaster planci metapopulation model for the central Great Barrier Reef","authors":"James P. Scandol","doi":"10.1016/S0079-6611(99)00003-8","DOIUrl":"https://doi.org/10.1016/S0079-6611(99)00003-8","url":null,"abstract":"<div><p><span>CotSim is a size-structured metapopulation model of the crown-of-thorns (</span><span><em>Acanthaster planci</em></span>) on the central Great Barrier Reef (GBR). The populations of starfish and the coral cover on 269 individual reefs are modelled for up to 200 years. Starfish are represented as larvae, two age classes of juveniles and three size classes of adults. Coral can either be modelled as a single type or as two types each with a characteristic growth rate, equilibrium cover and susceptibility to starfish predation. Reefs are connected using simulated dispersal data for <em>A. planci</em> on the central GBR. These data were generated using a particle tracking program where simulated currents displaced particles representing dispersing larvae after an <em>A. planci</em> spawning episode. The dispersal data represented patterns expected from the 1976/77 to 1989/90 spawning season. The starfish growth model is a density-dependent matrix model. When coral cover is low, survival within classes is low and the transitions into larger classes is impeded. In contrast, at high coral cover the reverse patterns occur. Both the starfish and coral data are filtered through an interpretation model to generate observed patterns. The starfish interpretation model represents the important difficulty in detecting smaller adults. Results from the model using the default parameters correspond with published patterns of starfish/coral dynamics and the overall patterns of starfish outbreaks on the GBR.</p><p>The model is an interactive event-driven 32-bit Windows application requiring Windows 95 or Windows NT 3.51/4.0. Most parameters are able to be altered by the user with three tabbed dialogue boxes (for the simulation, starfish and coral parameters). Biologically justifiable default parameters are provided for all parameters. Parameters and initial starfish populations are stored in simple coded ASCII files. Simulations are controlled using ‘Run’, ‘Pause/Continue’ and ‘Stop’ operations. Maps of the GBR illustrate the spatial and temporal structure of the metapopulation dynamics including the patterns of dispersal. Once paused, populations on individual reefs can be examined using two types of plots (time series and single time bar charts). Overall patterns can be displayed using latitude versus time plots of observed reef state. Starfish populations and coral cover can be edited, which enables users of the model to become associated with some of the key issues regarding large-scale starfish control programs. Results from the model can be written to ASCII files for additional analysis. The speed of a simulation is able to be controlled and colours for important graphical elements can be altered. CotSim includes indexed online context-sensitive help and a graphical install routine. The program adheres to published guidelines for Windows applications.</p></div>","PeriodicalId":100884,"journal":{"name":"Marine Models","volume":"1 1","pages":"Pages 39-81"},"PeriodicalIF":0.0,"publicationDate":"1999-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0079-6611(99)00003-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72123291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1999-12-01DOI: 10.1016/S0079-6611(99)00002-6
Jonathan Sharples
A 1-dimensional (vertical) physical-biological coupled model is presented. The model is designed for investigations into the link between the vertical turbulent structure of a coastal or shelf sea water column, and the primary production. The physical model employs a turbulence closure scheme to provide the link between local vertical stability (driven by seasonal solar heating) and the vertical turbulent mixing (driven by tidal currents and surface wind stress). The biological component of the model is a simple cell quota, threshold limitation model, with either 1 or 2 taxa/species of phytoplankton growing in response to light and dissolved inorganic nitrogen. The user has control over all model physical and biological driving parameters. Graphical screen output, suitable for basic visualisation and teaching purposes, is generated as the model operates, and more detailed data are written to files for later analysis.
In order to demonstrate the model's use in simple hypothesis investigation, an example of the model operation is illustrated. This focuses on the effect that the springs-neaps tidal cycle has on the production within the summer sub-surface biomass maximum, illustrating the fortnightly input of new nitrogen into the thermocline and the subsequent new production.
{"title":"Investigating the seasonal vertical structure of phytoplankton in shelf seas","authors":"Jonathan Sharples","doi":"10.1016/S0079-6611(99)00002-6","DOIUrl":"https://doi.org/10.1016/S0079-6611(99)00002-6","url":null,"abstract":"<div><p><span>A 1-dimensional (vertical) physical-biological coupled model is presented. The model is designed for investigations into the link between the vertical turbulent structure of a coastal or shelf sea water column, and the primary production. The physical model employs a turbulence closure scheme to provide the link between local vertical stability (driven by seasonal solar heating) and the vertical turbulent mixing (driven by tidal currents and surface wind stress). The biological component of the model is a simple cell quota, threshold limitation model, with either 1 or 2 taxa/species of </span>phytoplankton<span> growing in response to light and dissolved inorganic nitrogen. The user has control over all model physical and biological driving parameters. Graphical screen output, suitable for basic visualisation and teaching purposes, is generated as the model operates, and more detailed data are written to files for later analysis.</span></p><p>In order to demonstrate the model's use in simple hypothesis investigation, an example of the model operation is illustrated. This focuses on the effect that the springs-neaps tidal cycle has on the production within the summer sub-surface biomass maximum, illustrating the fortnightly input of new nitrogen into the thermocline and the subsequent new production.</p></div>","PeriodicalId":100884,"journal":{"name":"Marine Models","volume":"1 1","pages":"Pages 3-38"},"PeriodicalIF":0.0,"publicationDate":"1999-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0079-6611(99)00002-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72123287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1999-12-01DOI: 10.1016/S1369-9350(99)00002-4
T. Sherwin
{"title":"LAGCARTW: A random walk particle advection-diffusion model","authors":"T. Sherwin","doi":"10.1016/S1369-9350(99)00002-4","DOIUrl":"https://doi.org/10.1016/S1369-9350(99)00002-4","url":null,"abstract":"","PeriodicalId":100884,"journal":{"name":"Marine Models","volume":"4 1","pages":"83-102"},"PeriodicalIF":0.0,"publicationDate":"1999-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87499377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1999-12-01DOI: 10.1016/S0079-6611(99)00003-8
J. Scandol
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Pub Date : 1999-12-01DOI: 10.1016/S1369-9350(00)00002-X
Richard K. Dewey
Mooring Design and Dynamics is a set of Matlab® routines that can be used to assist in the design and configuration of single point oceanographic moorings, the evaluation of mooring tension and shape under the influence of wind and currents, and the simulation of mooring component positions when forced by time-dependent currents. The static model will predict the tension and tilt at each mooring component, including the anchor, for which the safe mass will be evaluated in terms of the vertical and horizontal tensions. Predictions can be saved to facilitate mooring motion correction. Time-dependent currents can be entered to predict the dynamic response of the mooring. The package includes a preliminary database of standard mooring components which can be selected from pull down menus. The database can be edited and expanded to include user specific components, frequently used fasteners/wires etc., or unique oceanographic instruments. Once designed and tested, a draft of the mooring components can be plotted and a list of components, including fasteners can be printed.
{"title":"Mooring Design & Dynamics—a Matlab® package for designing and analyzing oceanographic moorings","authors":"Richard K. Dewey","doi":"10.1016/S1369-9350(00)00002-X","DOIUrl":"https://doi.org/10.1016/S1369-9350(00)00002-X","url":null,"abstract":"<div><p>Mooring Design and Dynamics is a set of Matlab® routines that can be used to assist in the design and configuration of single point oceanographic moorings, the evaluation of mooring tension and shape under the influence of wind and currents, and the simulation of mooring component positions when forced by time-dependent currents. The <em>static</em> model will predict the tension and tilt at each mooring component, including the anchor, for which the safe mass will be evaluated in terms of the vertical and horizontal tensions. Predictions can be saved to facilitate mooring motion correction. Time-dependent currents can be entered to predict the dynamic response of the mooring. The package includes a preliminary database of standard mooring components which can be selected from pull down menus. The database can be edited and expanded to include user specific components, frequently used fasteners/wires etc., or unique oceanographic instruments. Once designed and tested, a draft of the mooring components can be plotted and a list of components, including fasteners can be printed.</p></div>","PeriodicalId":100884,"journal":{"name":"Marine Models","volume":"1 1","pages":"Pages 103-157"},"PeriodicalIF":0.0,"publicationDate":"1999-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1369-9350(00)00002-X","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72124093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1999-12-01DOI: 10.1016/S0079-6611(99)00002-6
J. Sharples
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