Professor Shvidenko’s research has focused on forest inventory and monitoring, mathematical modelling, carbon-budget assessment, and the evaluation of ecosystem services in boreal and temperate forests, with particular emphasis on the forests of Russia, Siberia, and Ukraine. By developing comprehensive and validated carbon-accounting frameworks and applying fuzzy-system approaches to uncertainty assessment, he has advanced understanding of the role of Northern Eurasian forests as a major and persistent carbon sink, the climatic regulation of forest–tree symbioses, and the capacity of boreal ecosystems to adapt to global environmental change. His selected works address growth and productivity models for the major forest-forming species of Northern Eurasia, uncertainty in comprehensive carbon accounting for policy-making, the persistent carbon sink represented by the world’s forests, climatic controls on decomposition and the global biogeography of forest–tree symbioses, and the health of boreal forests under global change. Collectively, these contributions reflect a sustained research programme connecting quantitative forest science with large-scale assessments of carbon dynamics, ecosystem resilience, and the evidence base required for sustainable management of the world’s boreal forests.