Dendrochronology, the study of tree-ring growth patterns, is a powerful tool for reconstructing past human–environment interactions. This review examines its role within archaeology, focusing on how tree-ring studies contribute to dating wooden artifacts, reconstructing past climates, and understanding timber use in historical buildings and cultural heritage. To explore these applications, we conducted a bibliometric analysis of studies indexed in Web of Science. Our results reveal a marked increase in dendrochronological research over the past 15 years, alongside a broadening of its impact across related fields such as anthropology and environmental sciences. We classify the literature into major thematic areas, including methodological developments, historical and environmental disruptions, art and architecture, mining history, and the ancient timber trade. By highlighting both the advantages and limitations of dendrochronology—such as issues of reference coverage, the need for non-destructive sampling, and the importance of interdisciplinary collaboration—we show how this approach extends beyond archaeology to illuminate wider cultural and environmental contexts. Ultimately, our findings demonstrate the significance of dendrochronology not only for understanding ancient civilizations and cultural heritage, but also for tracing the complex interactions between humans and natural resources across time.

Seasonal snowpack and snowmelt are critical regulators of forest ecosystem functioning in temperate, boreal, montane, and alpine regions. Snowpack acts as a temporary water and energy reservoir, while snowmelt determines the seasonal availability of water and influences ecosystem processes during the growing season. Climate change is altering snowfall patterns, snow accumulation, and melt timing, with consequences for forest productivity, resilience, and disturbance dynamics. This review synthesizes current knowledge on snow–forest interactions and identifies major research trends, methodological approaches, and remaining knowledge gaps. The study combines a bibliometric analysis and a qualitative literature review based on publications indexed in the Scopus and Web of Science databases. A total of 695 publications were included in the bibliometric dataset and analyzed to assess temporal trends, geographical patterns, research themes, and the ecological consequences of changing snow dynamics in forests. Representative studies from this dataset were subsequently synthesized to evaluate the influence of snowpack and snowmelt on forest ecosystem functioning, resilience, and sustainability. The reviewed literature shows that snowpack and snowmelt strongly regulate forest water availability, soil thermal conditions, nutrient cycling, vegetation responses, and carbon dynamics. Changes in snow regimes, particularly reduced snow accumulation and earlier melt, can increase the risk of soil freezing, modify moisture conditions, intensify water stress, and affect ecosystem carbon balance. However, the magnitude and direction of these effects depend on forest type, species composition, climate, and landscape characteristics. Forest structure also plays an important role in controlling snow interception, accumulation, persistence, and melt processes. The bibliometric analysis indicates a rapid increase in research interest in snow–forest interactions over the last two decades, with major contributions from the United States, Canada, China, and Northern Europe. Environmental sciences, hydrology, and ecology were the dominant research areas. Despite substantial progress, uncertainties remain regarding long-term ecosystem responses, species-specific vulnerabilities, and the interactions between declining snow cover and other climate-driven disturbances. This review emphasizes that understanding snowpack and snowmelt dynamics is essential for predicting forest ecosystem responses to climate change and for improving sustainable forest management and watershed conservation strategies in snow-dependent regions.