Generalized additive models (GAMs) is used to test the hypothesis that the deep-water rose shrimp, Parapenaeus longirostris abundances are related to the bathymetry, spatial location, temperature, salinity, dissolved oxygen and chlorophyll-based variability of the North Atlantic of Morocco. The deep-water rose shrimp, Parapenaeus longirostris (Lucas 1846, Decapoda: Penaeidae) is one of the main targeted species of the demersal fishery in the Moroccan Atlantic region. Data are collected during five-year periods (2015, 2018–2021) of seasonal sampling (winter and summer). We used a dataset of six scientific trawl-surveys, and multi-satellite measurements to analyze the relationship between biomass and environmental factors. The results show that temperature plays an important role in the spatial distribution of P. longirostris. For salinity, we observed that a high level of salinity had a negative impact on rose shrimp biomass. On the other hand, we found that chlorophyll had a positive effect on the biomass. These environmental factors vary according to years and seasons and it is more significant in summer than in winter.