Farewell black spruce? How climate change and pests are reshaping North America’s forests
Peer-Reviewed Publication
Updates every hour. Last Updated: 25-Oct-2026 23:16 ET (26-Oct-2026 03:16 GMT/UTC)
If global emissions continue unchecked, rising temperatures and shifting rainfall patterns could amplify tree pests and diseases across more than 80 per cent of North American forests within decades, jeopardizing critical carbon sinks, air quality and the forestry economy.
This is the key finding of a new UBC-led study published today in Nature Ecology & Evolution. The researchers found that insects pose the more immediate threat, with more than 60 per cent of the areas examined projected to experience 30 per cent more insect pressure by mid-century. Species like the spongy moth, already wreaking havoc in Canadian forests, could expand significantly in eastern North America by mid-century.
The United Nations hold well-developed and safe roads as an important part of infrastructure in their Sustainable Development Goals. Until now, however, there has been no benchmark for the condition and state of road networks worldwide. Researchers at the Institute of Geography of Heidelberg University and HeiGIT (Heidelberg Institute of Geoinformation Technology) have addressed this gap by using artificial intelligence and satellite imagery to create an open-access dataset that maps and classifies more than nine million kilometers of roads worldwide. The dataset also captures changes in road conditions over time, providing valuable information for humanitarian applications and serving as an important indicator for assessing socioeconomic development, particularly in data-scarce regions.
A new, international, community-led scientific review warns that major gaps in knowledge along Antarctica’s coast are now one of the biggest obstacles to reliably predicting future global sea level rise.
A team of hydrogeologists and geomicrobiologists from China and Germany has discovered that dissimilatory iodate-reducing microorganisms (DIRMs) do not live above marine oxygen minimum zones (OMZs), as long predicted. Instead, these microbes thrive within the OMZs, converting iodate into iodide and promoting the release of marine iodine into the atmosphere. The findings, published in National Science Review, refine the ecological niche of DIRMs and enhance the modeling for predicting oceanic iodine emissions under future climate changes.
In a paper published in SCIENCE CHINA Earth Sciences, researchers quantified the cumulative heatwave exposure of different birth cohorts and regions in China over their lifetimes. The study reveals that younger generations face substantially higher lifetime heatwave exposure, while regions with lower economic development experience a mismatch between increasing climate hazards and limited adaptive capacity. These findings help reveal how lifetime heatwave exposure is distributed across generations and regions and provide a basis for designing targeted adaptation strategies.
In a paper published in SCIENCE CHINA Earth Sciences, researchers at Sun Yat-sen University developed an SFA-based Climate Prediction (SCP) method, which directly extracted slow-varying predictable signals from observed precipitation data and applied it to seasonal prediction of summer precipitation over South China. Independent forecasts for 2011–2022 show that the SCP method achieves a regional mean temporal correlation coefficient of 0.36 and accurately predicted the sign of regional-mean precipitation anomalies in 10 of 12 summers, outperforming two dynamical models and a hybrid dynamical–statistical prediction system. The study provides a new perspective to identifying potentially predictable signals and improving regional seasonal precipitation prediction.