High-resolution logbook data

To increase the level of detail, a supplementary native logbook dataset of direct observations, collected in 2019 by scientific personnel on 45 commercial fishing vessels (19 OTB, 8 TBB, and 18 PTM), and containing landings and fuel consumption information, was combined with the on-site energy audits. The Electronic logbook is the key element of the Electronic Recording and reporting System (ERS) defined within the European Fisheries Control Framework used to record, report, process, store and send fishery data (catches, landings, sales and transhipment). The analysed logbook 2019 data were thus effort (in active fishing days), fuel consumption, and annual landings overall and by species, which allowed the computation of FUI and CF of each fishing vessel. In order to obtain fisheries-specific fuel use estimation, the combined dataset (e.g., energy audits and high-resolution logbook dataset) was used to model the relationship between daily fuel consumption and vessel length overall (LOA). This theoretical LOA-based fuel use model, responding to the combined analysed dataset, was then scaled up to infer the daily fuel consumption of the entire national fleet/segments.

为提升数据集的细节丰度，研究团队将2019年由科研人员在45艘商业渔船上采集的补充性直接观测原始日志数据集与现场能源审计数据进行合并。该数据集涉及的渔船涵盖19艘底拖网渔船(OTB)、8艘围网渔船(TBB)及18艘沿岸拖网渔船(PTM)，并包含渔获上岸量与燃油消耗信息。电子日志是欧洲渔业管控框架内定义的电子记录与报告系统(Electronic Recording and Reporting System, ERS)的核心组成部分，该系统用于记录、报告、处理、存储并传输渔业相关数据，涵盖渔获量、上岸量、销售及转运信息。本次分析所用的2019年日志数据包括捕捞努力量（以有效捕捞天数计）、燃油消耗、年度总上岸量及按物种分类的上岸量，借此可计算每艘渔船的燃油使用强度(FUI)与碳排放因子(CF)。为获取针对渔业场景的精准燃油使用量估算结果，研究团队利用合并后的数据集（即能源审计数据与高分辨率日志数据集）构建了每日燃油消耗与船舶总长(Length Overall, LOA)之间的关联模型。随后，基于该结合分析数据集得到的、以船舶总长为依据的理论燃油使用模型被外推推演，以估算全国整体渔船船队及各细分船队的每日燃油消耗量。