Integrating vessel monitoring systems (VMS) data with daily catch data from logbooks to explore the spatial distribution of catch and effort at high resolution
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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DOI：
10.1093/icesjms/fsq137
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发表时间：
2011-01-01
影响因子：
3.3
通讯作者：
Lordan, Colm
中科院分区：
文献类型：
--
作者：
Gerritsen, Hans;Lordan, Colm
船舶监测系统 (VMS) 自动收集渔船的位置数据，并且这些数据可以与航海日志中的捕捞数据相链接，以提供空间解析的捕捞量和努力量数据的普查。探索并验证了整合爱尔兰 VMS 和航海日志数据的最合适、最实用的方法。应用简单的速度规则来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 数据与航海日志中的捕捞数据进行整合。对几个假设进行了调查，得出的渔获量和努力量分布图似乎是公正的。该方法以每单位努力捕获量的空间显式估计的时间序列示例进行说明。所提出的方法相对简单，不需要专业软件或计算密集型方法。可以将这种方法推广到欧盟和许多其他地区可用的类似数据集。对综合 VMS 和日志数据的分析将使渔业数据能够在比以前更精细的空间尺度上进行分析，从而开辟了一系列潜在的应用。
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.