Tomas Lämås

Tomas Lämås


My research focuses on methods for forest planning and systems for decision support in a multi-purpose forestry. I am currently the program manager for the Forest Sustainability Analysis (SHa) program, which runs projects in this field. SHa is also responsible for the management and further development of the Heureka system, which is a decision support system developed at SLU intended for multi-purpose forestry 


My teaching is currently of a smaller scale. At present I participaten in teaching in in course Forest Planning with PlanWise as Decision Support(SG0226). 


I'm principal supervisor for one PhD student, Patrik Ulvdal. His topic concern the influence of data quality on planning and decision processes in forestry.  som arbetar med frågor som rör datakvalitetens inverkan på skogliga planerings- och beslutsprocesser. In addition, I am an co-supervisor for three more doctoral students.

Tidigare har jag varit huvudhandledare för:

- Lars Sängstuvall, dissertaion 2018: Improved harvesting technology for thinning of small diameter stands. Impact on forest management and national supply of forest biomass.

- Rami Saad, dissertaion2017: The effect of forest information quality on the planning and decision process in forestry,

- Sofia Backéus, dissertaion 2009: Forest management strategies for CO₂ mitigation.

- Karl Duvemo, dissertaion2009: The influence of data uncertainty on planning and decision processes in forest management.

Publikationer i urval

Eggers, J., Holmgren, S., Nordström, E.-M., Lämås, T., Lind, T., Öhman, K. 2019. Balancing Different Forest Values: Evaluation of Forest Management Scenarios in a Multi-criteria Decision Analysis Framework. Forest Policy and Economics 103:55-69

Eggers, J., Lindhagen, A., Lind, T., Lämås, T., Öhman, K. 2018.  Balancing landscape-level forest management between recreation and wood production. Urban Forestry & Urban Greening 33:1-11.

Mair, L., Jönsson, M., Räty, M., Lämås, T. & Snäll, T. 2018. Land use changes could modify future negative effects of climate change on old-growth forest indicator species. Diversity and Distribution DOI: 10.1111/ddi.12771

Roberge, J.-M., Öhman, K., Lämås, T., Felton, A., Ranius, T., Lundmark, T., Nordin, A. 2018. Modified forest rotation lengths: long-term effects on landscape-scale habitat availability for specialized species. Journal of Environmental Management 210:1-9

Felton, A., Ranius, T., Roberge, J.M., Öhman, K., Lämås, T., Hynynen, J., Juutinen, A., Mönkkönen, M., Nilsson, U., Lundmark, T., & Nordin, A., 2017. Projecting biodiversity and wood production outcomes in future forest landscapes: 15 Key modeling considerations. Journal of Environmental Management 197:404-414

Mair, L., Harrison, P., Jönsson, M., Löbel, S., Nordén, J., Siitonen, J., Lämås, T., Lundström, A., and Snäll, T. 2017. Evaluating citizen science data for forecasting species responses to national forest management. Ecology and Evolution 7:368–378. DOI: 10.1002/ece3.2601.

Saad, R., Eyvindson, K., Gong, P., Lämås, T. and Ståhl. G. 2017. Potential of using data assimilation to support forest planning. Canadian Journal of Forest Research, 47(5), pp. 690-695.

Felton, F., Sonesson. J., Nilsson, U., Lämås, T., Lundmark, T., Nordin, A., Ranius, T. and Roberge, J.M. 2017. Varying rotation lengths in northern production forests: Implications for habitats provided by retention and production trees. AMBIO, 46(3):324-334.

Saad, R., Wallerman, J., Holmgren, J., and Lämås, T. 2016. Local pivotal method sampling design combined with micro stands utilizing airborne laser scanning data in a long term forest management planning setting. Silva Fennica vol. 50 no. 2 article id 1414.

Eggers, J. Holmström, H., Lämås, T., Lind, T., Öhman, K. 2015. Accounting for a diverse forest ownership structure in projections of forest sustainability indicators. Forests 6(11), 4001-4033.

Lämås, T., Sandström, E., Jonzén, J., Olsson, H., and Gustafsson, L. 2015. Tree retention practices in boreal forests: what kind of future landscapes are we creating? Scandinavian Journal of Forest Research 30 (6):526-537 .

Roberge, J.-M., Lämås, T., Lundmark, T., Ranius, T., Felton, A., and Nordin, A., 2015. Relative contributions of tree retention and set-asides to the long-term availability of key forest biodiversity structures at the landscape scale. Journal of Environmental Management 154, 284-292.

Saad, R., Wallerman, J. & Lämås, T. 2015. Estimating stem diameter distributions from airborne laser scanning data and their effects on long term forest management planning. Scandinavian Journal of Forest Research 30(2):186-196.

Eggers, J., Lämås, T., Lind, T., Öhman, K. 2014. Factors influencing choice of forest management strategy among small-scale private forest owners in Sweden. Forests 5(7) 1695-1716.

Duvemo, K., Eriksson, L.O., Lämås, T., and Wikström, P. 2014. Introducing cost plus loss analysis into a hierarchical forestry planning environment. Annals of Operations Research 219:415-431.

Pasalodos-Tato, M., Mäkinen, A., Garcia, J., Borges, J., Lämås, T., Eriksson, L.O.  2013. Assessing uncertainty and risk in forest planning and decision support systems: review of classical methods and introduction of new approaches.  Forest Systems 22(2) 282-303.

Wikström, P., Edenius, L., Elfving, B., Eriksson, L.O., Lämås, T., Sonesson, J., Öhman, K., Wallerman, J., Waller, C., Klintebäck, F.  2011. The Heureka forestry decision support system: An overview. Mathematical and Computational Forestry & Natural-Resource Sciences 3(2): 87-94.

Backéus, S., Wikström, P., and Lämås, T. 2006. Modelling carbon sequestration and timber production in a regional case study.  Silva Fennica 40(4): 615-629

Duvemo, K. and Lämås, T. 2006. The influence of forest data quality on planning processes in forestry. Scandinavian Journal of Forest Research 21(4): 327 – 339. (Review article)

Öhman, K., and Lämås, T. 2005. Reducing forest fragmentation in long-term forest planning by using the shape index. Forest Ecology and Management 212:346-357



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