KAUST researchers and international collaborators tagged 15 Chilean devil rays in the Atlantic, revealing unexpected deep-diving behavior. The tags recorded dives reaching almost 2,000 meters at speeds of 6 meters per second and temperatures below 4 degrees Celsius. The rays exhibited two distinct diving patterns, including long periods at 1,000 meters and stepwise returns to the surface, possibly for thermoregulation. Why it matters: This research challenges previous assumptions about devil ray behavior and highlights KAUST's contribution to marine biology and understanding of ocean ecosystems.
KAUST marine scientists, led by Dr. Michael Berumen, tracked 47 whale sharks near Al-Lith in the Red Sea using satellite tags. The study, published in PLOS ONE, identifies the area as a significant nursery for the species. The research provides valuable insights into the movement patterns of whale sharks. Why it matters: Understanding these patterns is crucial for effective conservation efforts for this vulnerable species in the Red Sea.
KAUST researchers, in collaboration with WHOI, studied whale shark movement patterns near the Shib Habil reef in the Red Sea over six years using visual census, acoustic monitoring, and satellite telemetry. The study monitored 84 sharks and found the aggregation to be highly seasonal, with sharks most abundant in April and May, returning yearly. The site may serve as a nursery for the wider Indian Ocean population, attracting juvenile females, which is unique to Shib Habil. Why it matters: Understanding whale shark behavior and critical habitats like Shib Habil is vital for future conservation efforts of this endangered species in the Red Sea and the broader Indian Ocean.
KAUST doctoral student Royale Hardenstine is conducting whale shark research in the Red Sea. The research is captured in a video produced by KAUST. Why it matters: This highlights KAUST's ongoing research efforts in marine biology and Red Sea ecosystems.
KAUST alumna Dr. Royale Hardenstine (Ph.D. '20, MS '15) is studying the movements and behavior of marine animals in the Red Sea, including whale sharks. Her Ph.D. research showed the connectivity of Red Sea whale sharks to the larger Indo-Pacific population and movements between aggregation sites. Now working as Protected Species Science Manager at The Red Sea Development Company, she monitors marine life in the Kingdom's future Special Economic Zones. Why it matters: This research is crucial for informing conservation efforts and mitigating the impact of coastal development on vulnerable marine species in the Red Sea.
A global census, with KAUST participation, assessed reef shark populations using Baited Remote Underwater Video Systems (BRUVS). The study found reef shark populations thrive where there are marine conservation policies and fishing regulations. However, they are scarce in areas with overfishing and poor resource protections, with sharks absent on nearly 20% of surveyed reefs. Why it matters: The research highlights the importance of conservation management for reef sharks, key apex predators and indicators of reef health, especially in the Red Sea region.
Shark biologist Dr. Greg Skomal gave a keynote lecture at KAUST's Enrichment in the Fall 2018, discussing how little is known about sharks. Skomal highlighted that 49% of shark species are data deficient in basic information. He also discussed using acoustic tags and autonomous underwater vehicles (AUVs) like the REMUS SharkCam to study shark behavior. Why it matters: This highlights KAUST's role in hosting discussions on marine biology and the application of advanced technology in ecological research.
William Tang from Princeton spoke at KAUST about using deep learning to achieve nuclear fusion. Nuclear fusion, recreating stellar conditions on Earth, is considered the "holy grail" of power sources because it is clean and does not produce radioactive waste. Tokamaks, invented by Soviet physicists, are devices used to contain plasma, the superheated ionized gas required for fusion. Why it matters: KAUST is contributing to research on sustainable energy solutions, including exploring the potential of AI in nuclear fusion, a potentially transformative clean energy source.