In a groundbreaking study, researchers have explored how Swedish non-industrial private forest (NIPF) owners are pioneering clearcut-free forestry as a sustainable alternative to conventional timber-focused practices. The research highlights the growing trend among private forest owners to prioritize biodiversity, ecological resilience, and cultural values alongside timber production.

A new study in Forest Ecosystems shows that the 2021 White Rock Lake Wildfire in the southern interior of British Columbia, Canada increased summer low flows in snow-dominated watersheds by reducing evapotranspiration and altering how snowmelt and groundwater contribute to streamflow. Using hydrometric monitoring and geochemical tracing, researchers found that reduced forest cover lowered evapotranspiration, allowing more snowmelt to recharge groundwater and sustain streams through the dry season. The increase in water supply is likely temporary, however, as forest regrowth will gradually increase water consumption, highlighting the need for long-term monitoring to guide post-fire water management under climate change.

A new study models how climate change could affect the future distribution of tree species across North America. The researcher analyzed 442 species found in Mexico and neighboring regions and found that suitable climate for many trees is likely to shift northward by several hundred kilometers by the end of the century. While most Mexican tree species are expected to retain some suitable climate within Mexico, many may also find suitable conditions in the United States and Canada. Species with wide ranges and those growing at lower elevations are more likely to expand, while species with small ranges, high-elevation habitats, or restricted to Mexico may lose suitable areas. The study suggests that forest ecosystems may lag behind climate change, as many species already have suitable climate in new regions but have not yet moved there.

On March 12, at the 2026 London International Book Fair, Tsinghua University Press (TUP) and Springer Nature held a launch ceremony for the latest English volumes in the Handbook of Construction Machinery series: the Handbook of Port Machinery, the Handbook of Piling Machinery, Concrete Machinery and Mortar Machinery, and the Handbook of Environmental Sanitation and Protection Machinery.

While satellite navigation has become an essential part of modern life, it still struggles to work reliably indoors and in dense urban environments where high-rise buildings deteriorate signal propagation. In his doctoral dissertation at the University of Vaasa, Finland, Akpojoto Siemuri investigates how adaptive machine learning and advanced sensor fusion methods can improve positioning accuracy, robustness, and efficiency.

Accurate water level forecasting is crucial for effective water resources management. Recently, a group of researchers from Jeonbuk National University has proposed a novel clustering-based machine learning framework for accurate, scalable, and computationally efficient water level prediction, especially in data-scarce regions. These findings are expected to lead to improved flood mitigation, agricultural irrigation, environmental sustainability, and long-term climate adaptation policies.