Modelled spatial and seasonal distribution of Blue Whiting (Micromesistius poutassou) larvae in the North-East Atlantic (1951 to 2005)@en

Blue whiting (Micromesistius poutassou, http://www.marinespecies.org/aphia.php?p=taxdetails&id=126439) is a small mesopelagic planktivorous gadoid found throughout the North-East Atlantic. This data contains the results of a model-based analysis of larvae captured by the Continuous Plankton Recorder (CPR) during the period 1951-2005. The observations are analysed using Generalised Additive Models (GAMs) of the the spatial, seasonal and interannual variation in the occurrence of larvae. The best fitting model is chosen using the Aikaike Information Criteria (AIC). The probability of occurrence in the continous plankton recorder is then normalised and converted to a probability distribution function in space (UTM projection Zone 28) and season (day of year). The best fitting model splits the distribution into two separate spawning grounds north and south of a dividing line at 53 N. The probability distribution is therefore normalised in these two regions (ie the space-time integral over each of the two regions is 1). The modelled outputs are on a UTM Zone 28 grid: however, for convenience, the latitude (\"lat\") and longitude (\"lon\") of each of these grid points are also included as a variable in the NetCDF file. The assignment of each grid point to either the Northern or Southern component (defined here as north/south of 53 N), is also included as a further variable (\"component\"). Finally, the day of year (\"doy\") is stored as the number of days elapsed from and included January 1 (ie doy=1 on January 1) - the year is thereafter divided into 180 grid points.蓝鳕（*Micromesistius poutassou*，http://www.marinespecies.org/aphia.php?p=taxdetails&id=126439）是一种小型中层浮游食性鳕形目鱼类，广泛分布于东北大西洋海域。本数据集包含1951年至2005年间，通过连续浮游生物记录仪（Continuous Plankton Recorder，CPR）采集的蓝鳕幼鱼样本的模型分析结果。研究采用广义加性模型（Generalised Additive Models，GAMs）对观测数据开展分析，以探究幼鱼出现情况的空间、季节及年际变化规律。模型选择以赤池信息准则（Akaike Information Criteria，AIC）为依据，确定最优拟合模型。随后将连续浮游生物记录仪观测中的幼鱼出现概率进行归一化处理，并转换为空间（采用通用横轴墨卡托投影28区，UTM projection Zone 28）与季节（以一年中的第几日计）的概率分布函数。最优拟合模型将幼鱼分布划分为两条独立产卵场，分别位于53°N纬线南北两侧。因此，该概率分布在两个区域内均完成归一化处理（即两个区域各自的时空积分值均为1）。模型输出结果基于UTM 28区网格；为便于使用，NetCDF文件中同时附加了各网格点的纬度（"lat"）与经度（"lon"）变量。各网格点的归属信息（即属于53°N以北的北部组分还是以南的南部组分）也作为额外变量（"component"）存储于文件中。此外，一年中的第几日（"doy"）以自1月1日起累计的天数存储（即1月1日对应doy=1），全年共划分为180个网格节点。