1
Abstract
The aim of this study is to assess the influence of spatiotemporal variability in environmental
conditions on the distribution of large pelagic, notably Bluefin Tuna (BFT), Albacore (ALB) and
Swordfish (SWO), in the Algerian basin during the two decades from 2000 to 2019. Using
spatiotemporal analysis techniques, with the aid of remote sensing, statistical and GIS tools, we
modelled the interaction of these species with their habitat factors, such as water temperature,
salinity, chlorophyll concentration, dissolved oxygen, nitrate content, wave height and current
speed. The outcomes of this study do provide an in-depth understanding of the behaviour and
movements of the species studied, and especially, helps identifying the preferred areas for each
species in the Algerian basin. By the end of the study, we have developed a numerical model of
population size estimates as a function of environmental factors that would make it possible to
suggest optimal fishing zones, thus contributing to improving the profitability and sustainability
of fishing activities. In summary, this project not only aims to enrich scientific knowledge on the
distribution of large pelagic in the region, but also to provide practical tools for sustainable
management of marine resources, and preservation of marine ecosystems, as well as help
optimizing fishing efforts, and supporting fishing-related economic activities in Algeria.
Key words: large pelagic; Algerian Basin; spatiotemporal analysis; numerical model;
environmental factors.
Abstract
The aim of this study is to assess the influence of spatiotemporal variability in environmental
conditions on the distribution of large pelagic, notably Bluefin Tuna (BFT), Albacore (ALB) and
Swordfish (SWO), in the Algerian basin during the two decades from 2000 to 2019. Using
spatiotemporal analysis techniques, with the aid of remote sensing, statistical and GIS tools, we
modelled the interaction of these species with their habitat factors, such as water temperature,
salinity, chlorophyll concentration, dissolved oxygen, nitrate content, wave height and current
speed. The outcomes of this study do provide an in-depth understanding of the behaviour and
movements of the species studied, and especially, helps identifying the preferred areas for each
species in the Algerian basin. By the end of the study, we have developed a numerical model of
population size estimates as a function of environmental factors that would make it possible to
suggest optimal fishing zones, thus contributing to improving the profitability and sustainability
of fishing activities. In summary, this project not only aims to enrich scientific knowledge on the
distribution of large pelagic in the region, but also to provide practical tools for sustainable
management of marine resources, and preservation of marine ecosystems, as well as help
optimizing fishing efforts, and supporting fishing-related economic activities in Algeria.
Key words: large pelagic; Algerian Basin; spatiotemporal analysis; numerical model;
environmental factors.
