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首页> 外文期刊>ICES Journal of Marine Science >Integrating vessel monitoring systems (VMS) data with daily catch data from logbooks to explore the spatial distribution of catch and effort at high resolution
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Integrating vessel monitoring systems (VMS) data with daily catch data from logbooks to explore the spatial distribution of catch and effort at high resolution

机译：将船舶监控系统（VMS）数据与日志中的每日捕捞数据相集成，以高分辨率探索捕捞量和工作量的空间分布

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摘要

Vessel monitoring systems (VMS) automatically collect positional data from fishing vessels, and the data can be linked to catch data from logbooks to provide a census of spatially resolved catch-and-effort data. The most appropriate and practical method for integrating Irish VMS and logbook data is explored and validated. A simple speed rule is applied to identify VMS records that correspond to fishing activity. The VMS data are then integrated with the catch data from logbooks using date and vessel identifier. Several assumptions were investigated, and the resulting distribution maps of catch and effort appear to be unbiased. The method is illustrated with an example of a time-series of spatially explicit estimates of catch per unit effort. The proposed method is relatively simple and does not require specialist software or computationally intensive methods. It will be possible to generalize this approach to similar datasets that are available within the EU and many other regions. Analysis of integrated VMS and logbook data will allow fisheries data to be analysed on a considerably finer spatial scale than was possible previously, opening up a range of potential applications.
机译：船只监视系统（VMS）自动从渔船收集位置数据，并且可以将这些数据链接到日志中的捕获数据，以提供对空间分辨的捕获和努力数据的普查。探索和验证了整合爱尔兰VMS和日志数据的最合适，最实用的方法。一个简单的速度规则适用于识别与捕鱼活动相对应的VMS记录。然后，使用日期和船只标识符将VMS数据与日志中的捕获数据集成在一起。研究了几个假设，并且得出的捕获量和工作量分布图似乎没有偏见。以每单位努力的捕获量的空间显式估计的时间序列的示例为例来说明该方法。所提出的方法相对简单，不需要专业软件或计算量大的方法。可以将这种方法推广到欧盟和许多其他区域内可用的类似数据集。对集成的VMS和日志数据的分析将使渔业数据的分析空间范围比以前更精细，从而开辟了许多潜在的应用领域。

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