Monthly Publications, December 2025

“Monthly Publications” is a monthly summary by the School of Forest Sciences at the University of Eastern Finland, featuring scientific articles published during the month. This summary aims to make the latest research in forest sciences more accessible to practitioners, such as companies, policymakers, and forest owners, to enable more effective practical application of research findings. Researchers from the School of Forest Sciences at the University of Eastern Finland are highlighted in bold

▪ Angelinelli, M., Barrera, C., García-Pascual, B. and Pedrazzi, G. 2025. ArbörIA. An open-data-based urban tree inventory tree solution improved by AI optimization. Memorie della Società Astronomica Italiana, Vol. 96, No. 1, 2025, p. 153. https://ui.adsabs.harvard.edu/link_gateway/2025MmSAI..96a.153A/doi:10.36116/MEMSAIT_96N1.2025.153

▪ García-Pascual, B., Martín-Cortés, C., Zhou, X., Lopatin, E., Acuna, M., and Kärhä, K. 2025. Tree stem diameter estimation using inexpensive UAV photogrammetric data and Monte Carlo methods, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2/W2-2025, 49–56, https://doi.org/10.5194/isprs-annals-X-2-W2-2025-49-2025

▪ Li X., Rinne J., Tuittila E-S., Vesala T. 2025. Year-round δ13C-CH4 reveals seasonal transition in methane-related processes in a boreal mire. Journal of Geophysical Research –
Biogeosciences 130(9): e2025JG008922. https://doi.org/10.1029/2025JG008922

▪ Manna, D., Chowdhury, R., Kuittinen, S., Pappinen, A, Vepsäläinen, J., Hassan, M.K. 2025. Optimization of levulinic acid production from heterogeneous catalytic pretreatment of rice straw using Dowex 50 W in aqueous ferric chloride
solution. Applied Catalysis O: Open 209: 207084. https://doi.org/10.1016/j.apcato.2025.207084

▪ Roth E-M., Sietiö O-M., Adamczyk B., Xu P., Valkonen S., Tuittila E-S., Helmisaari H-S., Karhu K. 2026. Different effects of continuous-cover and rotation forest management on soil organic carbon stabilization in a boreal Norway spruce forest. Forest Ecology and Management 601: 123347. https://doi.org/10.1016/j.foreco.2025.123347

▪ Toivonen, J., Kangas A, Pitkänen, T.P., Myllymäki, M., Maltamo, M., Kukkonen, M. and Packalen, P. Combining tree-boosting and mixed effects models improves the performance of remote-sensing based forest age predictions. Forestry.