The Heureka forestry decision support system: an overview P WikstrÃ, L Edenius, LO Eriksson, LÃ Tomas, J Sonesson, C Waller, ... Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS …, 2011 | 351 | 2011 |
Integrating multiple criteria decision analysis in participatory forest planning: Experience from a case study in northern Sweden EM Nordström, LO Eriksson, K Öhman Forest policy and economics 12 (8), 562-574, 2010 | 149 | 2010 |
The core area concept in forming contiguous areas for long-term forest planning K Öhman, LO Eriksson Canadian Journal of Forest Research 28 (7), 1032-1039, 1998 | 149 | 1998 |
Creating continuous areas of old forest in long-term forest planning K Öhman Canadian Journal of Forest Research 30 (11), 1817-1823, 2000 | 132 | 2000 |
Factors influencing the choice of management strategy among small-scale private forest owners in Sweden J Eggers, T Lämås, T Lind, K Öhman Forests 5 (7), 1695-1716, 2014 | 104 | 2014 |
Allowing for spatial consideration in long-term forest planning by linking linear programming with simulated annealing K Öhman, LO Eriksson Forest Ecology and Management 161 (1-3), 221-230, 2002 | 96 | 2002 |
Governing competing demands for forest resources in Sweden C Sandström, A Lindkvist, K Öhman, EM Nordström Forests 2 (1), 218-242, 2011 | 87 | 2011 |
Balancing different forest values: Evaluation of forest management scenarios in a multi-criteria decision analysis framework J Eggers, S Holmgren, EM Nordström, T Lämås, T Lind, K Öhman Forest Policy and Economics 103, 55-69, 2019 | 76 | 2019 |
Value-based ecosystem service trade-offs in multi-objective management in European mountain forests A Langner, F Irauschek, S Perez, M Pardos, T Zlatanov, K Öhman, ... Ecosystem services 26, 245-257, 2017 | 76 | 2017 |
Clustering of harvest activities in multi-objective long-term forest planning K Öhman, T Lämås Forest ecology and management 176 (1-3), 161-171, 2003 | 76 | 2003 |
Reducing forest fragmentation in long-term forest planning by using the shape index K Öhman, T Lämås Forest Ecology and Management 212 (1-3), 346-357, 2005 | 74 | 2005 |
Decision support for participatory forest planning using AHP and TOPSIS H Nilsson, EM Nordström, K Öhman Forests 7 (5), 100, 2016 | 70 | 2016 |
Cost of riparian buffer zones: A comparison of hydrologically adapted site‐specific riparian buffers with traditional fixed widths T Tiwari, J Lundström, L Kuglerová, H Laudon, K Öhman, AM Ågren Water Resources Research 52 (2), 1056-1069, 2016 | 70 | 2016 |
Ash dieback risks an extinction cascade T Hultberg, J Sandström, A Felton, K Öhman, J Rönnberg, J Witzell, ... Biological Conservation 244, 108516, 2020 | 69 | 2020 |
Aggregation of preferences in participatory forest planning with multiple criteria: an application to the urban forest in Lycksele, Sweden EM Nordström, C Romero, LO Eriksson, K Öhman Canadian Journal of Forest Research 39 (10), 1979-1992, 2009 | 57 | 2009 |
Conflict resolution through ecosystem-based management: the case of Swedish moose management C Sandström, SW DiGasper, K Öhman International Journal of the Commons 7 (2), 549-570, 2013 | 55 | 2013 |
Aggregating harvest activities in long term forest planning by minimizing harvest area perimeters K Öhman, LO Eriksson Silva Fennica 44 (1), 77-89, 2010 | 53 | 2010 |
Multiple criteria decision analysis with consideration to place-specific values in participatory forest planning EM Nordström, LO Eriksson, Ö Karin | 50 | 2011 |
Impacts of different forest management scenarios on forestry and reindeer husbandry A Korosuo, P Sandström, K Öhman, LO Eriksson Scandinavian Journal of Forest Research 29 (sup1), 234-251, 2014 | 48 | 2014 |
Scaling of increased dissolved organic carbon inputs by forest clear-cutting–What arrives downstream? J Schelker, K Öhman, S Löfgren, H Laudon Journal of hydrology 508, 299-306, 2014 | 48 | 2014 |