Monthly Publications, November 2024
“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. The goal of this summary is 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.
Cimdins, R., Yrttimaa, T., Hyyppä, J., Vastaranta, M. and Kankare, V., 2024. Quantifying changes in forest structural complexity using bitemporal airborne laser scanning. European Journal of Remote Sensing, p.2417905. https://doi.org/10.1080/22797254.2024.2417905
Cosenza, D., Saarela, S., Strunk, J., Korhonen L., Maltamo M. and Packalen, P. 2024. Effects of model-overfit on model-assisted forest inventory in boreal forests with remote sensing data. Forestry. https://doi.org/10.1093/forestry/cpae055
Kemppainen K., Kärhä K., Laitila J., Sairanen A., Kankaanhuhta V., Viiri H., Peltola H. (2024). Evaluation of the productivity and costs of excavator-based mechanized tree planting in Finland based on automated data collection. Silva Fennica vol. 58 no. 5 article id 24047.
https://doi.org/10.14214/sf.24047
Kivimäenpää M, Virjamo V, Nissinen K, Pikkarainen L, Ghimire RP, Julkunen-Tiitto R, Peltola H (2024) Responses of needle terpene concentrations and characteristics of resin canals to different warming treatments in Scots pine and Norway spruce seedlings grown in a field
experiment. Canadian Journal of Forest Research http://dx.doi.org/10.1139/cjfr-2024-0153
Kukkonen, M., Myllymäki, M., Räty, J., Varvia, P., Maltamo, M., Korhonen, L. and Packalen, P. 2024. Band configurations and seasonality influence the predictions of common boreal tree species using UAS image data. Annals of Forest Science 81, Article number: 31. http://urn.fi/URN:NBN:fi-fe2024110489050
Kunnas, J. 2024. Planetary risk society: from ignored problems to fast solutions. International Review of Applied Economics, 1–14.
https://doi.org/10.1080/02692171.2024.2417006
Mäkinen, K., Korhonen, L. and Maltamo, M. 2024. Improving airborne laser scanning based species-specific volume information estimation using Sentinel-2 time series. European Journal of Remote Sensing. https://doi.org/10.1080/22797254.2024.2422315
Räty, J., Kukkonen, M., Melin, M., Maltamo, M. and Packalen, P. 2024. Detection of snow disturbances in boreal forests using unitemporal
airborne lidar data and aerial images. Forestry. https://doi.org/10.1093/forestry/cpae057
Vauhkonen, J. 2024. Conservation hotspots based on actual habitat preferences or artefacts of secondary map data processing –Correspondence on “Predicting valuable forest habitats using an indicator species for biodiversity”. Biological Conservation 296, 110716 https://doi.org/10.1016/j.biocon.2024.110716
Vauhkonen, J. 2024. Comments on “Effects of forest management on the spatial distribution of the willow tit (Poecile montanus)”. Forest
Ecology and Management 570, 122207 https://doi.org/10.1016/j.foreco.2024.122207