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.

为提升数据集细节粒度，研究人员将2019年由科研人员在45艘商业渔船（含19艘OTB、8艘TBB及18艘PTM）上采集的直接观测原生日志数据集（包含渔获上岸量与燃油消耗信息）与现场能源审计数据进行融合。电子日志是电子记录与报告系统（Electronic Recording and reporting System, ERS）的核心组件；该系统为欧盟渔业管控框架中定义的专用系统，用于记录、报告、处理、存储及传输渔业相关数据，涵盖渔获量、上岸量、销售及转船信息。本次分析所用的2019年日志数据包括作业时长（以有效捕捞天数计）、燃油消耗、年度总渔获上岸量及分物种上岸量，借此可计算每艘渔船的FUI与CF指标。为获取针对性的渔业燃油消耗估算结果，研究团队借助该融合数据集（即能源审计数据与高分辨率日志数据集），构建了单日燃油消耗与渔船总长（Length Overall, LOA）之间的关联模型。基于适配该融合分析数据集的、以LOA为基础的燃油消耗理论模型，研究人员进一步将其外推，以估算全国整体渔船编队及各细分编队的单日燃油消耗量。