Modelling of mechanized logging in uneven- and even-aged forest structures subject to continuous cover forestry

Abstract

The effect of forest structure affected productivity of harvester operator work in a continuous cover forest. In particular, the effects of the forests consisting of even- and uneven-age trees were compared. In addition to tree variables describing the structure of the forest, variables describing the time taken in each of the work phases were needed to accurately model the logging motions. Modelling also required single tree data from the harvester. The model precisely predicted the relationship between the variables and productivity in both the uneven-aged forest (R² = 0.96) and the even-aged forest (R² = 0.92). Both explanatory powers of models were statistically significant. Productivity was explained by the “volume of trunk”, the “length of the operating part of trunk”, the “moving time of the logging device to trunk”, the “felling time of tree” and the “processing time of trunk”. In the uneven-aged forest, the effective-hour productivity was 37.7 m³ E₀h⁻¹ and in the even-aged forest 43.5 m³ E₀h⁻¹. The work phases “moving the logging device to trunk” and “felling of tree” consumed more time in the uneven-aged forest. The results of the time and motion analysis justify the promotion of training both work phases to increase productivity of harvester operator work. This modelling approach can be recommended for studies on the development of selective logging method for continuous cover forestry.

Graphical Abstract

Keywords

Selective logging / Effective-hour productivity / Time and motion research / Work-phase analysis / Harvester operator work

References

[1] Äijälä O, Koistinen A, Sved J, Vanhatalo K, Väisänen P (2019) Forest management recommendations. Publication of Tapio, Tapio, p 255. (in Finnish)

[2] Anonymous (1978) Nordic agreement on forestry work study nomenclature. The Council of Nordic Forestry Studies. Norwegian Institute of Forest Research, p 130. (in Norwegian)

[3] Anonymous (1992) Introduction to work studies, Fourth edition. International Labour Office, Geneva, Switzerland, p 525.

[4] Anonymous (1995) Forest work study nomenclature. International Union of Forestry Research Organisations. p 16.

[5] Anonymous (2005) Harvest planning and implementation. Metsäteho, Helsinki, p 96. (in Finnish)

[6] Anonymous (2025) Government decree on the sustainable management and use of forests, 1308/2013. (in Finnish)

[7] Bianchi S, Ahtikoski A, Muhonen T, Holmström E, Valkonen S, Nuutinen Y. Evaluation of operating cost management models for selection cutting in Scandinavian continuous cover forestry. iForest, 2023, 16(4): 218-225

[8] Biolley H. Le jardinage cultural. J for Suisse, 1901, 52(97–104): 113-132(In French)

[9] Blennow K, Andersson M, Sallnäs O, Olofsson E. Climate change and the probability of wind damage in two Swedish forests. For Ecol Manag, 2010, 259(4): 818-830

[10] Borggreve B (1891) Die Holzzucht. In: EIn Grundriss für Unterricht und Wirtschaft. 2 p. Verm. Ausl. Parey, Berlin. p 363.

[11] Gayer K. Der Waldbau, 1889, 3Berlin. Parey

[12] Granhus A, Fjeld D. Spatial distribution of injuries to Norway spruce advance growth after selection harvesting. Can J for Res, 2001, 31(11): 1903-1913

[13] Gregow H, Peltola H, Laapas M, Saku S, Venäläinen A. Combined occurrence of wind, snow loading and soil frost with implications for risks to forestry in Finland under the current and changing climatic conditions. Silva Fenn, 2011,

[14] Groover MP (2007) Work systems and the methods, measurement, and management of work. p 778.

[15] Hämäläinen J (2014) Current practices in selective cutting: work instructions, time consumption, and harvesting quality. Department of Forest Sciences, Faculty of Forestry and Agriculture, University of Helsinki. M.Sc. Thesis, p 103. (in Finnish)

[16] Henley SS, Golden RM, Kashner TM. Statistical modeling methods: challenges and strategies. Biostat Epidemiol, 2020, 4(1): 105-139

[17] Henttonen HM, Nöjd P, Suvanto S, Heikkinen J, Mäkinen H. Size-class structure of the forests of Finland during 1921–2013: a recovery from centuries of exploitation, guided by forest policies. Eur J for Res, 2020, 139(2): 279-293

[18] Jonsson R. Performance and costs in logging with harvesters and forwarders. Working Report from Skogforsk, 2015, 863: 28

[19] Kärhä K, Anttonen T, Poikela A, Palander T, Laurén A, Peltola H, Nuutinen Y. Evaluation of salvage logging productivity and costs in windthrown Norway spruce-dominated forests. Forests, 2018,

[20] Kumela H, Hänninen H (2011) Forest owners’ views on diversifying forest management methods. Working papers of the Finnish Forest Research Institute 203. pp 76. (in Finnish)

[21] Labelle ER, Soucy M, Cyr A, Pelletier G. Effect of tree form on the productivity of a cut-to-length harvester in a hardwood dominated stand. Croat J for Eng, 2016, 37(1): 175-183

[22] Lähde E, Laiho O, Norokorpi Y. Diversity-oriented silviculture in the boreal zone of Europe. For Ecol Manag, 1999, 118(1–3): 223-243

[23] Lindroos O, Pettersson J, Nordfjell T. How stem size variations in forest stands influence harvester productivity and the use of productivity models. Int J for Eng, 2024, 35(3): 389-398

[24] Liski E, Jounela P, Korpunen H, Sosa A, Lindroos O, Jylhä P. Modeling the productivity of mechanized CTL harvesting with statistical machine learning methods. Int J for Eng, 2020, 31(3): 253-262

[25] Lundqvist L. Tamm Review: Selection system reduces long-term volume growth in Fennoscandic uneven-aged Norway spruce forests. For Ecol Manag, 2017, 391: 362-375

[26] Mäkelä M (1986) Cost calculation of logging machines. Publication of Metsäteho, p 21. (in Finnish)

[27] Mason WL, Diaci J, Carvalho J, Valkonen S. Continuous cover forestry in Europe: usage and the knowledge gaps and challenges to wider adoption. Forestry (Lond), 2022, 95(1): 1-12

[28] Näslund M (1936) Skogsförsöksanstaltens gallringsförsök i tallskog. [Forest research institute’s thinning experiments in pine forests]. Meddelanden från Statens Skogsförsöksanstalt. (in Swedish)

[29] Niebel BW (1988) Motion and time study, 8th edn., p 799.

[30] Nuutinen Y. Possibilities to use automatic and manual timing in time studies on harvester operations. Diss for, 2013,

[31] Nuutinen Y, Björheden R. Productivity and work processes of small-tree bundler Fixteri FX15a in energy wood harvesting from early pine dominated thinnings. Int J for Eng, 2016, 27(1): 29-42

[32] Ovaskainen H (2009) Timber harvester operators’ working technique in first thinning and the importance of cognitive abilities on work productivity. Diss For 79:62. http://www.metla.fi/dissertationes/df79.htm

[33] Palander T. Precision modeling of fuel consumption to select the most efficient logging method for cut-to-length timber harvesting. Forests, 2025,

[34] Palander T, Ovaskainen H, Tikkanen L. An adaptive work study method for identifying the human factors that influence the performance of a human-machine system. For Sci, 2012, 58(4): 377-389

[35] Palander T, Nuutinen Y, Kariniemi A, Väätäinen K. Automatic time study method for recording work phase times of timber harvesting. For Sci, 2013, 59(4): 472-483

[36] Palander T, Ovaskainen H, Lauren A, Pasi A. An enhanced method for improving the efficiency of harvesting tree plantations on flat and sloping terrain using a cutting-cycle productivity model. J for Res, 2025, 36(1): 39

[37] Palo M, Uusivuori J. World forests, society and environment, 1999, Cham. Springer Netherlands

[38] Puettmann KJ, Wilson SM, Baker SC, Donoso PJ, Drössler L, Amente G, Harvey BD, Knoke T, Lu YC, Nocentini S, Putz FE, Yoshida T, Bauhus J. Silvicultural alternatives to conventional even-aged forest management—What limits global adoption?. For Ecosyst, 2015, 2 8

[39] Pukkala T. Plenterwald, dauerwald, or clearcut?. For Policy Econ, 2016, 62: 125-134

[40] Pukkala T. Improved guidelines for any-aged forestry. J for Res, 2022, 33(5): 1443-1457

[41] Pukkala T, Lähde E, Laiho O. Optimizing any-aged management of mixed boreal forest under residual basal area constraints. J for Res, 2014, 25(3): 627-636

[42] Pukkala T, Lähde E, Laiho O. Which trees should be removed in thinning treatments?. For Ecosyst, 2015, 2: 32

[43] Pukkala T, Laiho O, Lähde E. Continuous cover management reduces wind damage. For Ecol Manag, 2016, 372: 120-127

[44] Pukkala T, Nuutinen Y, Muhonen T. A two-level optimization approach to tree-level planning in continuous cover forest management. J for Res, 2025, 36(1): 79

[45] Rautio P, Routa J, Huuskonen S, Holmström E, Cedergren J, Kuehne C. Continuous cover forestry in boreal Nordic countries, 2025, Cham. Springer Nature Switzerland

[46] Rummukainen A, Alanne H, Mikkonen E. Wood procurement in the pressure of change. Acta for Fenn, 1995,

[47] Schuck A, Schelhaas MJ (2013) Storm damage in Europe—An overview. In Gardiner B, Schuck A, Schelhaas MJ, Orazlo C, Blennow K, Nicoll B (Eds) Living with storm damage to forests: what science can tell us, vol 3. European Forest Institute, pp 15–23.

[48] Sirén M, Hyvönen J, Surakka H. Tree damage in mechanized uneven-aged selection cuttings. Croat J for Eng, 2015, 36: 33-42

[49] SPSS Inc. SPSS-X user’s guide, 1988, 3Chicago. SPSS Inc.

[50] Valkonen S, Chen Z (2014) Forest professionals’ attitude towards forest structural diversity. Metsätieteen Aikakauskirja 2. (in Finnish)

Funding

University of Eastern Finland (including Kuopio University Hospital)

RIGHTS & PERMISSIONS

The Author(s)