An integrated multi-source dataset of elasmobranchs in the Red Sea following the Red Sea Decade Expedition.

Red Sea elasmobranch populations are facing alarming declines. Effective conservation efforts require management strategies informed by extensive datasets and by developing an understanding of distribution patterns within the basin, which is currently lacking. This study introduces CERSE (Central and Eastern Red Sea Elasmobranchs), a comprehensive compilation of elasmobranch observations in the central and eastern Red Sea basin following the route of the Red Sea Decade Expedition.

Centennial and decadal trends in phytoplankton communities highlight rising eutrophication along the western coast of the Arabian Gulf.

Arabian Gulf ecosystems, particularly the phytoplankton communities, are influenced by natural and human activities. We analyzed coastal sediments chronology and pigment records to explore shifts in phytoplankton in the western Arabian Gulf, where long-term records are lacking. Our results revealed significant shifts in phytoplankton abundance over the past five decades.

A generalized machine learning model for long-term coral reef monitoring in the Red Sea.

Coral reefs, despite covering less than 0.2 % of the ocean floor, harbor approximately 35 % of all known marine species, making their conservation critical. However, coral bleaching, exacerbated by climate change and phenomena such as El Niño, poses a significant threat to these ecosystems.

Density and distribution patterns of seafloor macrolitter in the eastern Red Sea.

The constant production of plastic and incessant growth of waste pollution continues to alter the marine environment from the coasts and surface waters to the deep sea. The quantification and investigation of macrolitter on the vast seabed of the ocean are challenging tasks that must be undertaken to elucidate the impact of anthropogenic activity on the marine environment and facilitate subsequent implementation of legally binding waste management regulations. In this study, we analyzed >60,000 images collected during 84 dives surveying 62.

Dynamics and control of two-dimensional discrete-time biological model incorporating weak Allee's effect.

Incorporating a weak Allee effect in a two-dimensional biological model in ℜ2, the study delves into the application of bifurcation theory, including center manifold and Ljapunov-Schmidt reduction, normal form theory, and universal unfolding, to analyze nonlinear stability issues across various engineering domains. The focus lies on the qualitative dynamics of a discrete-time system describing the interaction between prey and predator. Unlike its continuous counterpart, the discrete-time model exhibits heightened chaotic behavior.