The economic evaluation of timber obtained from Norway spruce and scots pine grown under different thinning regimes in Lithuania

References

• Ara M, Berglund M, Fahlvik N, Johansson U, Nilsson U. 2022. Pre-commercial thinning increases the profitability of Norway spruce monoculture and supports Norway spruce–birch mixture over full rotations. Forests. 13(8):1156. doi: 10.3390/f13081156.
   Web of Science ®Google Scholar
• Association of private owners. 2023. Price of wood. [accessed 2023 Mar 26]. https://www.pmsa.lt/aktualu/menesio-medienos-kainos/.
   Google Scholar
• Beniušienė L, Petrauskas E, Aleinikovas M, Varnagirytė-Kabašinskienė I, BeniušBeniušIs R, Šilinskas B. 2021. Norway spruce stem parameters in sites with different stand densities in Lithuanian hemiboreal forest. Forests. 12(2):e201. doi: 10.3390/f12020201.
   Web of Science ®Google Scholar
• Beniušienė L, Šilinskas B, BeniušBeniušIs R, Aleinikovas M, Petrauskas E, Varnagirytė-Kabašinskienė I. 2020. Scots pine stem parameters in sites with different stand densities in Lithuania. Forests. 11(7):e716. doi: 10.3390/f11070716.
   Web of Science ®Google Scholar
• Briceño-Elizondo E, Garcia-Gonzalo J, Peltola H, Matala J, Kellomäki S. 2006. Sensitivity of growth of scots pine, Norway spruce and silver birch to climate change and forest management in boreal conditions. For Ecol Manag. 232(1–3):152–167. doi: 10.1016/j.foreco.2006.05.062.
   Web of Science ®Google Scholar
• Cameron AD. 2002. Importance of early selective thinning in the development of long‐term stand stability and improved log quality: a review. Forestry. 75(1):25–35. doi: 10.1093/forestry/75.1.25.
   Web of Science ®Google Scholar
• Cao T, Valsta L, Härkönen S, Saranpaa P, Mäkelä A. 2008. Effects of thinning and fertilization on wood properties and economic returns for Norway spruce. For Ecol Manag. 256(6):1280–1289. doi: 10.1016/j.foreco.2008.06.025.
   Web of Science ®Google Scholar
• Dušek D, Novák J, Kacálek D, Slodičák M. 2021. Norway spruce production and static stability in IUFRO thinning experiments in the Czech Republic. J For Sci. 67(4):185–194. doi: 10.17221/188/2020-JFS.
   Google Scholar
• EMPS. 2023. Elektroninė medienos pardavimų sistema/Electronic wood sales system (In Lithuanian). [Accessed 2023 Mar 26]. https://emps.baltpool.eu/Modules/CurrentSales/CurrentSalesSummary.aspx.
   Google Scholar
• EN 338:2009. 2009. Structural timber. Strength classes. Brussels, Belgium: European Committee for Standardization.
   Google Scholar
• EN 408:2006. 2006. Timber structures. Structural timber and glued laminated timber—determination of some physical and mechanical properties. Brussels, Belgium: European Committee for Standardization.
   Google Scholar
• Eurostat. 2018. Forest, forestry and logging. Wood products – production and trade. Eurostat – statistics explained (publications office of the European Union)
   Google Scholar
• Gendvilas V, Downes GM, Neyland M, Hunt M, Harrison PA, Williams D, Jacobs A, O’Reilly-Wapstra J. 2021. Thinning influences wood properties of plantation-grown eucalyptus nitens at three sites in Tasmania. Forests. 12(10):e1304. doi: 10.3390/f12101304.
   Web of Science ®Google Scholar
• Gravelsins A, Blumberga A, Blumberga D, Muizniece I. 2017. Economic analysis of wood products: system dynamics approach. Energy Procedia. 128:431–436. doi: 10.1016/j.egypro.2017.09.023.
   Google Scholar
• Grigoreva O, Runova E, Savchenkova V, Hertz E, Voronova A, Ivanov V, Shvetsova V, Grigorev I, Lavrov M. 2022. Comparative analysis of thinning techniques in pine forests. J For Res. 33(4):1145–1156. doi: 10.1007/s11676-021-01415-8.
   Google Scholar
• Halbritter A, Deegen P. 2015. A combined economic analysis of optimal planting density, thinning and rotation for an even-aged forest stand. For Policy Econ. 51:38–46. doi: 10.1016/j.forpol.2014.10.006.
   Web of Science ®Google Scholar
• Halbritter A, Deegen P, Susaeta A. 2020. An economic analysis of thinnings and rotation lengths in the presence of natural risks in even-aged forest stands. For Policy Econ. 118:e102223. doi: 10.1016/j.forpol.2020.102223.
   Web of Science ®Google Scholar
• Hautamäki S, Kilpeläinen H, Verkasalo E. 2013. Factors and model for bending properties of sawn timber from Finland and North-Western Russia. Part I: Norway Spruce. Balt For. 19(1):107–119.
   Google Scholar
• Hautamäki S, Kilpeläinen H, Verkasalo E. 2014. Factors and Model for bending properties of sawn timber from Finland and North-Western Russia. Part II: scots pine. Balt For. 20(1):142–156.
   Google Scholar
• Houllier F, Leban JM, Colin F. 1995. Linking growth modelling to timber quality assessment for Norway spruce. For Ecol Manag. 74(1–3):91–102. doi: 10.1016/0378-1127(94)03510-4.
   Web of Science ®Google Scholar
• Huuskonen S, Hynynen J, Ojansuu R. 2008. Stand characteristics and external quality of young scots pine stands in Finland. Silva Fenn. 42(3):397–412. doi: 10.14214/sf.245.
   Web of Science ®Google Scholar
• Industry data. 2022. Personal contact.
   Google Scholar
• Jaakkola T, Mäkinen H, Sarén MP, Saranpää P. 2005. Does thinning intensity affect the tracheid dimensions of Norway spruce? Can J For Res. 35(11):2685–2697. doi: 10.1139/x05-182.
   Google Scholar
• Karttunen K, Laitila J, Ranta T. 2016. First-thinning harvesting alternatives for industrial or energy purposes based on regional scots pine stand simulations in Finland. Silva Fenn. 50(2):e1521. doi: 10.14214/sf.1521.
   Web of Science ®Google Scholar
• Katrevičs J, Džerina B, Neimane D, Desaine I, Bigača Z, Jansons A. 2018. Production and profitability of low density Norway spruce (Picea abies (L.) Karst.) plantation at 50 years of age: case study from eastern Latvia. Agron Res. 16(1):113–121. doi: 10.15159/AR.18.014.
   Google Scholar
• Konstantinavičienė J, Varnagirytė-Kabašinskienė I, Škėma M, Aleinikovas M. 2020. Assessment of the socio-economic factors affecting the development of willow energy plantations in Lithuania. Balt For. 26(1):e296. doi: 10.46490/BF296.
   Google Scholar
• Kroon J, Bergsten U, Sonesson J. 2019. Increasing production value in scots pine plantation through mixing with lodgepole pine. Scand J For Res. 34(8):689–698. doi: 10.1080/02827581.2019.1695909.
   Google Scholar
• KuliešKuliešIs A, Saladis J. 1998. The effect of early thinning on the growth of pine and spruce stands. Balt For. 1:8–16.
   Google Scholar
• Laitila J. 2008. Harvesting technology and the cost of fuel chips from early thinnings. Silva Fenn. 42(2):e256. doi: 10.14214/sf.256.
   Web of Science ®Google Scholar
• Laitila J, Heikkilä J, Anttila P. 2010. Harvesting alternatives, accumulation and procurement cost of small-diameter thinning wood for fuel in Central Finland. Silva Fenn. 44(3):e143. doi: 10.14214/sf.143.
   Web of Science ®Google Scholar
• Mäkinen H. 2004. Thinning intensity and growth of Norway spruce stands in Finland. Forestry. 77(4):349–364. doi: 10.1093/forestry/77.4.349.
   Web of Science ®Google Scholar
• Mäkinen H, Isomäki A. 2004. Thinning intensity and growth of scots pine stands in Finland. For Ecol Manag. 201(23):e311325. doi: 10.1016/j.foreco.2004.07.016.
   Google Scholar
• Mäkinen H, Sebastian H. 2006. Effect of wide spacing on increment and branch properties of young Norway spruce. Eur J For Res. 125(3):239–248. doi: 10.1007/s10342-006-0115-9.
   Web of Science ®Google Scholar
• Makovskis K, Lazdiņa D, Bite L 2012. Economic calculation of short rotation willow plantations in Latvia. Conference paper. Conference: Annual 18th International Scientific Conference Proceedings Research for rural development at LLU: Jelgava Latvia; p. 224–229.
   Google Scholar
• Mederski PS, Venanzi R, Bembenek M, Karaszewski Z, Rosińska M, Pilarek Z, Luchenti I, Surus M. 2018. Designing thinning operations in 2nd age class pine stands—economic and environmental implications. Forests. 9(6):e335. doi: 10.3390/f9060335.
   Web of Science ®Google Scholar
• Mizaras S, Sadauskienė L, Mizaraitė D. 2008. Productivity of harvesting machines and costs of mechanised wood harvesting: Lithuanian case study. Balt For. 14(2):155–162.
   Google Scholar
• Niemistö P, Kilpeläinen H, Poutiainen E. 2018. Effect of first thinning type and age on growth, stem quality and financial performance of a scots pine stand in Finland. Silva Fenn. 52(2):e7816. doi: 10.14214/sf.7816.
   Web of Science ®Google Scholar
• Niinimäki S, Tahvonen O, Mäkelä A, Linkosalo T. 2013. On the economics of Norway spruce stands and carbon storage. Can J For Res. 43(7):637–648. doi: 10.1139/cjfr-2012-0516.
   Google Scholar
• Pretzsch H. 2020. Density and growth of forest stands revisited. Effect of the temporal scale of observation, site quality, and thinning. For Ecol Manag. 460:e117879. doi: 10.1016/j.foreco.2020.117879.
   Web of Science ®Google Scholar
• Ravenshorst G, Van Der Linden M, Vrouwenvelder T, Van De Kuilen JW. 2004. An economic method to determine the strength class of wood species. Heron. 49(4):297–326.
   Google Scholar
• Raymer AK, Gobakken T, Solberg B. 2011. Optimal forest management with carbon benefits included. Silva Fenn. 45(3):395–414. doi: 10.14214/sf.109.
   Web of Science ®Google Scholar
• Russo D, Marziliano PA, Macri G, Proto AR, Zimbalatti G, Lombardi F. 2019. Does thinning intensity affect wood quality? An analysis of Calabrian Pine in Southern Italy using a non-destructive acoustic method. Forests. 10(4):e303. doi: 10.3390/f10040303.
   Web of Science ®Google Scholar
• Samariks V, Krisans O, Donis J, Silamikele I, Katrevics J, Jansons A. 2020. Cost–benefit analysis of measures to reduce windstorm impact in pure Norway spruce (Picea abies L. Karst.) stands in Latvia. Forests. 11(5):e576. doi: 10.3390/f11050576.
   Web of Science ®Google Scholar
• Schweier J, Becker G. 2013. Economics of poplar short rotation coppice plantations on marginal land in Germany. Biomass Bioenerg. 59:494–502. doi: 10.1016/J.BIOMBIOE.2013.10.020.
   Web of Science ®Google Scholar
• Šilinskas B, Varnagirytė-Kabašinskienė I, Aleinikovas M, Beniušienė L, Aleinikovienė J, Škėma M. 2020. Scots pine and Norway spruce wood properties at sites with different stand densities. Forests. 11(5):e587. doi: 10.3390/f11050587.
   Web of Science ®Google Scholar
• Simic K, Gendvilas V, O’Reilly C, Nieuwenhuis M, Harte AM. 2017. The influence of planting density on modulus of elasticity of structural timber from Irish-grown sitka spruce. Int J Des Nat Ecodyn. 12(4):438–447. doi: 10.2495/DNE-V12-N4-438-447.
   Google Scholar
• Špulák O, Kacálek D. 2020. How different approaches to logging residues handling affected retention of nutrients at poor-soil scots pine site after clear-cutting? A case study. J For Sci. 66(11):461–470. doi: 10.17221/143/2020-JFS.
   Google Scholar
• State Forest Service. 2022. Lithuanian statistical yearbook of forestry. Butkus A, Dumčienė V, Eigirdas M, Kuliešis A, Vižlenskas D editors. Kaunas, Lithuania: Lututė.
   Google Scholar
• SUNY–ESF (State University of New York, College of Environmental Sciences and Forestry). 2008. The eco willow economic model. [accessed 2023 Mar 26]. http://www.esf.edu/willow/.
   Google Scholar
• Tahvonen O, Pihlainen S, Niinimäki S. 2013. On the economics of optimal timber production in boreal scots pine stands. Can J For Res. 43(8):719–730. doi: 10.1139/cjfr-2012-0494.
   Web of Science ®Google Scholar
• UNECE, FAO. State of Europe forests. 2020. [accessed Sep 18]. https://foresteurope.org/wp-content/uploads/2016/08/SoEF_2020.pdf.
   Google Scholar