Quantum computing offers a promising pathway for accelerating large-scale scientific simulations, but applying it to computational fluid dynamics remains difficult. A new quantum TLFS-LBM framework reported in the Chinese Journal of Aeronautics (https://doi.org/10.1016/j.cja.2026.104176) introduces a fractional-step correction, a coordinate-based streaming matrix, and a multi-circuit strategy to enable practical incompressible-flow simulations on non-uniform meshes and complex boundaries while reducing quantum-circuit resource demands.

Small target detection and tracking in UAV remote sensing images are key tasks in fields such as security patrols and traffic monitoring. Recently, a framework called the Cropped Target Detection and Tracking Framework, through cropping and random sampling strategies, significantly improves real-time performance while ensuring small target positioning accuracy and tracking robustness, which is published in the Chinese Journal of Aeronautics.

This study shows that the recovery of the critically endangered Pinus dabeshanensis depends heavily on a few highly productive mother trees. After monitoring 88 adult trees over three years, researchers found that most trees produced no seeds, while just six trees produced more than 70% of all mature seeds. Seed dispersal success was mainly linked to how many mature seeds each tree produced. The findings suggest that conservation efforts should focus on protecting and supporting these key mother trees.

Forests store carbon and support biodiversity, but management that benefits one goal may not benefit the other. A study of 150 forest plots found that increasing management intensity reduced total and aboveground carbon while increasing belowground carbon. Aboveground insect diversity and biomass also increased, whereas belowground fauna showed no overall response. Relationships varied among arthropod groups, habitats and years, revealing no single optimal management strategy. The authors suggest combining generally lower-intensity management with a mosaic of forest types to better balance carbon storage, arthropod habitat, climate mitigation and biodiversity conservation.

This study examines how dryland vegetation in northern China responds to interannual droughts using satellite data from 2001 to 2022. The researchers found that severe drought changes the balance between drought resistance and post-drought recovery. Under moderate drought, plants that resisted drought well also tended to recover well, but under severe drought this became a tradeoff. Arid ecosystems appeared more fragile as drought intensified, while semi-arid areas relied more on recovery. The findings highlight the need to consider both resistance and recovery in dryland restoration and management.