Researchers from KAUST and Beneath The Waves used camera tags on tiger sharks in the Bahamas to map the world's largest seagrass ecosystem, estimated at 92,000 km2. The study, published in Nature Communications, details how the sharks' movements helped validate spatial estimates of these blue carbon ecosystems. Carlos Duarte (KAUST) realized the potential of the shark movement data to map the extensive seagrass meadows in the shallow sand banks of the Bahamas. Why it matters: The innovative approach demonstrates a novel method for mapping and quantifying vast underwater ecosystems, crucial for understanding and conserving blue carbon sinks.
KAUST and the National Center for Wildlife (NCW) discovered an unexpected ecosystem deep below the Farasan Bank coral reef system in the Red Sea. The deep waters were inhabited by corals, fish, and other animals thriving in low oxygen and high acidity conditions. Creatures showed coping strategies like slower swimming and healthy coral growth despite conditions normally preventing calcification. Why it matters: The discovery highlights the Red Sea's significance as a natural laboratory for studying marine resilience to climate change, expanding our understanding of how marine life adapts to extreme conditions.
KAUST Professor Carlos Duarte presented a lecture on the rebound of global ecosystems following decreased human activity during the COVID-19 pandemic. Duarte, a member of the Rapid Research Response Team (R3T), discussed evidence indicating the environment's capacity for recovery. He related these findings to the potential for positive change in addressing climate change. Why it matters: The lecture highlights KAUST's contribution to understanding the impact of human activity on ecosystems and potential solutions to climate change.
KAUST researchers collaborated with international scientists to propose a nature-based adaptive approach for coral restoration, published in Nature Reviews in Earth & Environment. The review emphasizes enhancing specific components of the coral holobiont to maximize the natural adaptive capacity of corals to survive climate change. It advocates for customized protection approaches based on the reef's degradation, location, and traits. Why it matters: This research offers a critical roadmap for preserving coral reefs, which are vital ecosystems threatened by climate change, by leveraging the corals' natural adaptive mechanisms.
Researchers have developed a scalable pre-screening framework that integrates climate and remote sensing data to identify cost-efficient sites for sustainable dryland restoration, using Saudi Arabia as a case study. The framework employs machine learning models to derive a Climate Suitability Score (CSS), which captures climatic dependencies on vegetation persistence. National-scale prediction maps were generated using multi-year ERA5-Land data for Saudi Arabia, leading to the identification of thirteen priority locations with an estimated potential for a 2.5-fold increase in vegetation coverage. Why it matters: This approach significantly reduces the search space and costs associated with restoration efforts, supporting more resilient and sustainable ecosystem recovery planning in water-limited regions of the Middle East.