The adoption of millet in Bronze Age Europe led to a gradual shift in land use, with the new crop allowing communities to exploit previously marginal areas. This change was associated with increased food security and was not limited to specific social groups or ages.
A new study reveals how cannabis farming in California's Emerald Triangle is changing streams by pumping groundwater for irrigation. Researchers found that this practice can cause seasonal streams to stop flowing up to five weeks earlier and dry out streams that normally flow year-round, threatening salmon habitat.
Researchers used Landsat thermal infrared imagery to study river temperatures over 250 dams in the US, finding temperature differences in 71% of observations and varying impacts based on dam type and season. This new approach can help better understand freshwater ecology and water resource management.
A new 'Hydrology–Environment–Ecology' framework bridges aquatic and terrestrial ecological risk assessment for lake conservation. The framework reveals significant increasing trends in both aquatic and terrestrial ecological risks from 2000 to 2019, with habitat quality identified as the key risk indicator.
A new study identifies the ecological conditions necessary for biodiversity offsetting to achieve conservation goals. The research highlights the importance of large-scale restoration areas and protected landscapes in achieving long-term biodiversity outcomes. Successful compensation requires policies aligned with ecological reality, p...
Researchers developed an attention-guided Transformer model that learns unique strengths of each satellite mission, preserving differences in constellation design and observation geometry. The approach achieved high correlation coefficients and low RMSE values against references, especially in arid regions.
A new study reveals that freshwater exported from the Black Sea into the Aegean Sea during the Early Holocene triggered major environmental changes across the Eastern Mediterranean. The findings challenge previous views on the formation of Sapropel 1, a widespread organic-rich sediment layer deposited during this period.
The report provides an ecological characterisation of two contrasting habitat groups: inland peat-forming wetlands and coastal lagoons. Hydrology is identified as the dominant control on ecosystem functioning, with a persistently high water table sustaining anoxic conditions in peatlands.
A simple outdoor flood alarm is being developed by a UT Hydrology professor to detect life-threatening floods as water rises on individual properties. The low-tech alarm triggers a loud warning and light when water reaches a preset height, making it reliable during emergencies.
Satellite remote sensing allows researchers to monitor water quality by tracking changes in light spectrum, identifying nutrients in the water. This technology holds promise for studying global river health and detecting toxic algal blooms that can shut down water treatment plants.
A UK-based National Honey Monitoring Scheme has collected data from over 3,500 beekeepers, revealing insights into environmental changes, invasive species, and pesticide risks. The study identified over 800 plant species used by honeybees, providing a valuable resource for monitoring pollinator activity.
Researchers from the University of Tokyo developed SplashTune, a gamified rainfall–runoff model that simulates water movement and environmental effects on river flow. The interactive tool improves students' self-reported understanding of complex flood processes, including soil moisture and land use impact.
Current biological indices are unsuitable for intermittent rivers due to fluctuating flow, reducing species diversity and affecting ecosystem connectivity. A new method simulates metacommunities under varying drought conditions and human impacts to evaluate index performance.
A new study reveals that soil carbon residence time governs riverine dissolved organic matter's age, with climate, hydrology, and soil processes controlling carbon cycling in rivers. The research provides a high-resolution global atlas of riverine DOC, showing that ancient carbon sources are locally important but modern terrestrial org...
Researchers at the University of Houston have developed an AI-driven framework to extract and analyze historical flood insurance maps, uncovering significant changes in flood hazard areas. The study reveals that flood risks have expanded in two areas and reduced in one, with critical consequences for resilience and exposure.
A team of researchers used AI to analyze 289,513 global publications and isolated 4,177 highly relevant studies on China's major basins. The study highlights crucial milestones in Chinese hydrology and aims to guide future research priorities and sustainable water resource strategies worldwide.
A new study by PSU researchers found that wildfires can intensify midwinter rain-on-snow events, leading to rapid snowmelt and increased flood risk. This threatens the region's critical seasonal water storage, refilling reservoirs and producing hydroelectric power.
A UBC Okanagan researcher has discovered that trees provide simple visual cues through branch movement, indicating rehydration or water stress. The study found that balsam fir branches drooped during dry periods and lifted when rehydrating, offering a potential low-cost indicator for tree hydration.
A new study warns of a 20-year window to act on climate and land use policies to prevent further biodiversity loss in Britain. Sustainable practices like strong emissions action and reduced meat consumption could save up to 69 fewer species from extinction.
A team from the University of Córdoba developed an AI-based model that forecasts annual solar energy availability in Andalusia until 2100 using temperature data. The study found a significant positive trend in solar radiation and available energy, with peak hours increasing across all climate change scenarios.
A new AI model has been developed to predict floods with greater accuracy than traditional methods. The knowledge-guided approach combines elements of physics-based models with machine-learning techniques to automatically learn the state of a river's watershed, eliminating the need for manual recalibration.
The new framework groups stations with similar hydrological behavior, reducing computational cost while maintaining high predictive accuracy. This approach enables scalable, data-efficient AI systems for water level forecasting, supporting flood early-warning systems, optimized reservoir and irrigation management, and improved decision...
A new study finds that Pune's reservoirs will likely dry up and groundwater levels will plummet by the middle of this century if the city maintains current policies. However, the research shows these outcomes can be avoided with certain policy interventions.
Researchers found interactions between soil moisture patterns and wind in the lowest atmosphere influence where storms develop, providing clues to forecasters about location. The study aims to improve certainty about upcoming storms on hot days and save lives, livestock, and property.
A new Concordia research study refutes the notion that beaver dam failures can cause river flooding, arguing that failed dams had only a small effect on water levels downstream. The study found that natural conditions such as steep slopes and intense rainfall were more likely to cause damage.
Scientists analyzed peatland samples to reconstruct 4,000-year history of storm activity in the northwestern Atlantic. The study found increased storminess in three periods: 800-550 BCE, 500-750 CE, and 1300-1700 CE, which aligns with eastern Canada records.
A recent study found that chikungunya can spread in temperatures as low as 13 degrees Celsius, posing a greater health threat in Europe than previously thought. The Asian tiger mosquito is expanding northwards through the continent, and warming temperatures may lead to local outbreaks in the UK.
Current early warning systems often fail to lead to action due to varied reactions to general messages. Researchers propose EW4All+U with personalized information based on location, mobility and circumstances. The technology exists, but challenges remain in scaling up solutions.
A recent study found that the Yangtze River fishing ban has halted seven decades of biodiversity decline, triggering an initial recovery in fish resources. Key indicators such as biomass, body condition, and species diversity have shown significant improvement after full enforcement of the ban.
A new review proposes a spatial optimization framework to address the slow underground pathways of nitrate nitrogen, which can take decades to show up in river outlets. The framework considers legacy nitrogen, farmer adoption probabilities, and institutional settings to create more realistic and economically viable conservation programs.
A new tool estimates how much water plants draw from groundwater, helping managers plan for sustainable water use and protect habitats. The tool takes into account factors like soil, climate, and plant growth, providing insights into the impact of changing precipitation and temperature on ecosystems.
A global study reveals invasive alien species reduce terrestrial insect abundance by 31% and species richness by 21%. Insects are often overlooked victims of invasion, exacerbating population declines and ecosystem disruption.
Artificial intelligence is transforming water quality management by detecting subtle biological changes and triggering timely responses. AI-based sensors can analyze signals directly in the field for near real-time water quality assessment, predicting harmful algal blooms and pathogen outbreaks.
A citizen science project has estimated that roughly 53,000 items of macro waste debris float past Cologne on the Rhine river every day. Disposable plastic products make up a large proportion of the litter found in the Rhine, posing a significant threat to the ecosystem.
Nature-based solutions can significantly reduce flood impacts by slowing and absorbing runoff, offering added benefits such as improved air quality and biodiversity. Public awareness and education are key to expanding support for these approaches, with communities needing clear communication about flood risks and benefits.
A new study found that popular AI tools for predicting river flow often misinterpret how heat and evaporation affect water, raising concerns for flood and drought planning. The researchers developed a hydrology-specific 'explainable AI' framework to uncover these issues.
A new spectral method was developed to estimate leaf nitrogen, phosphorus, and potassium content in wetland vegetation. The study used hyperspectral leaf data from seven species in a karst wetland ecosystem, achieving high precision in nutrient estimation with an average inversion accuracy of 71%.
The 106th Annual Meeting of the American Meteorological Society will focus on the intersection of technology and human decision-making in weather, water, and climate sciences. The meeting will feature keynote presentations, Presidential Sessions, and named symposia highlighting key Earth science topics.
A team of researchers, led by Lijing Wang, used field data and modeling to explore the factors influencing mountain headwater streams. They found that evergreen forests act as a buffer for excessive snowmelt flow, while subsurface conditions like permeability control streamflow dynamics.
A new study of 1960s maps created by young people has provided important insights into the timing and extent of habitat losses in England and Wales. The analysis revealed a significant decline in semi-natural habitats, including rough grassland, heath, and wetland, which have lost 42% of their original area over the past 90 years.
A study warns that Ukraine's soils are losing vital crop nutrients due to reduced fertilizer access and inefficient farming practices. To mitigate this, the authors recommend better farm management, efficient use of fertilizers, and introducing legumes into crop rotations.
A new AI-powered model forecasts flooding impacts and manages water resources globally, revealing shifts in the balance of water between rivers, groundwater, and landscapes. The model provides reliable data for local-scale water management, flood forecasting, and ecosystem protection.
A multidisciplinary team identified a network of water tunnels carved into soft tufa rock at Nahal 'Amal, which powered sugar mills during the Mamluk period. Radiometric dating suggests these channels supplied water to sugar mills, highlighting local ingenuity and adaptation to scarcity.
A new study reveals that Madagascar's striking landscape was shaped by two great rifting events, separated by nearly 80 million years. These tectonic shifts created fragmented environments where species evolved independently, contributing to the island's extraordinary biodiversity.
A new peer-reviewed analysis challenges the 2025 study on Yellowstone's wolves, finding claims of a 'world-leading' trophic cascade are unsupported. The re-analysis highlights circular reasoning and modeling assumptions violations, suggesting a more modest response to predator recovery.
A recent study suggests that combining rewetting with biochar and iron sulphate additions can significantly slow down carbon loss from drained agricultural peat soils. This combination enhances carbon storage by suppressing soil enzymes and promoting the formation of iron-bound carbon compounds.
A study published in Water Resources Research reveals that human groundwater pumping has depleted Tucson-area aquifers more than natural climate variation over the past few decades. The research team reconstructed groundwater ages, recharge rates, and water table depths using chemical and isotopic markers.
Human-driven climate change makes wildfires in parts of South America and Southern California much larger and more destructive. Climate models warn that severe heatwaves and droughts will make extreme wildfires more frequent and intense worldwide.
A new study suggests that well-managed solar farms with wildflower margins could double bumblebee numbers within themselves. However, their benefits are largely constrained to the local site and have a limited impact on wider landscapes.
A study by University of Arizona researchers found that selecting the right data for flood insurance can significantly improve accuracy, speed, and predictability. The type of data used affects not only payout timing but also confidence in anticipating future payouts, influencing program costs.
Researchers have introduced a specialized AI model, EnvGPT, which achieves state-of-the-art performance in addressing complex environmental challenges. The model fine-tuned on a curated dataset outperforms larger models in accuracy and relevance, offering a scalable solution for environmental research and policy support.
The American Meteorological Society honors individuals and organizations with the 2026 Awards and Honors, recognizing their exceptional work in weather, water, and climate research. This year's recipients include scientists awarded prestigious medals for groundbreaking research in atmospheric dynamics, hydrology, and remote sensing.
A study by UKCEH found that ash dieback results in significant greenhouse gas emissions due to soil carbon losses. The research estimated 5.8 million tonnes of CO2 emissions over five years, equivalent to half the amount removed by broadleaf woodlands annually.
Ancient Sumerian society harnessed tidal hydrology to irrigate crops, enabling high-yield agriculture without large-scale infrastructure. The research suggests that the early communities' dependence on dependable hydrology drove societal response and defined the golden age of Sumer.
The 8th Sustainable Phosphorus Summit will explore strategies for closing the phosphorus loop and improving fertiliser efficiency in Africa. Experts warn that without urgent investment, the region's food production could falter under population growth and climate change.
Despite poor health scores for England's rivers, independent review reveals important improvements in freshwater biodiversity, including increases in species richness and diversity. An alternative monitoring standard has been proposed to better reveal the status of different species and inform local decisions.
A University of Florida team will create a decision-support system to help local leaders make science-based choices on land use, infrastructure, and climate adaptation. The project aims to reduce flood risk and protect groundwater using nature-based strategies.
A new UBC study found that clear-cutting can lead to an 18-fold rise in extreme floods, with effects lasting over 40 years. The study also reveals that landscape factors, such as slope direction, play a crucial role in shaping a watershed's response to treatment.
A new study reveals that pollutants can trigger nonlinear, unpredictable impacts on biodiversity across land, freshwater, and marine ecosystems. The proposed framework integrates real-time monitoring with predictive modeling to detect early warning signs of ecological tipping points.
University of Leicester researchers analyzed coral cores to spot the start of industrial deforestation in Malaysian rainforest and its impact on coastal ecosystems. The study found that sediment concentrations remained low before 1950, but increased after, indicating enhanced soil erosion due to deforestation.