Turkish Journal of Fisheries and Aquatic Sciences
2026, Vol 26, Num, 11 (Pages: TRJFAS29437)
Modelling of the Spawning Pattern of European Anchovy (Engraulis encrasicolus, Linnaeus, 1758) with Using Bootstrap Regression of Frequent Ichthyoplankton Sampling Data
2 Department of Statistics, Faculty of Science, Çanakkale Onsekiz Mart University, Çanakkale, Turkey DOI : 10.4194/TRJFAS29437 Viewed : 148 - Downloaded : 114 To understand rapid temporal fluctuations during the spawning period, weekly ichthyoplankton sampling was conducted in the Çanakkale Strait (North Aegean Sea) between April and December 2023 using a WP-2 net. The anchovy spawning period was estimated to last 22 weeks (May 23-October 30). Weekly observations revealed that monthly averages smoothed short-term fluctuations and masked major abundance peaks. Due to the asynchronous spawning pattern, 7-8 spawning peaks and 2 major spawning peaks were detected during spawning. A bootstrap-based resampling approach was applied to analyze the relationship between biological and environmental variables. According to bootstrap regression, each 1 unit increase in temperature led to an increase in egg abundance by 337.722 units on average, whereas every 1 unit increase in salinity led to an average decrease of 36.456 units in the number of larvae. Keywords : Engraulis Weekly sampling Spawning pattern Ichthyoplankton Bootstrap regression












