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Impact of interest rates on forest management planning based on multi-criteria decision analysis Cover

Impact of interest rates on forest management planning based on multi-criteria decision analysis

Open Access
|Mar 2022

References

  1. Ananda, J., Herath, G., 2009: A critical review of multi-criteria decision making methods with special reference to forest management and planning. Ecological Economics, 68:2535–2548.10.1016/j.ecolecon.2009.05.010
  2. Andreassen, K., Øyen, B.-H., 2002: Economic consequences of three silvicultural methods in uneven-aged mature coastal spruce forests of central Norway. Forestry: An International Journal of Forest Research, 75:483–488.10.1093/forestry/75.4.483
  3. Barreiro, S., Rua, J., Tomé, M., 2016: StandsSIM-MD: A management driven forest SIMulator. Forest Systems, 25:eRC07.10.5424/fs/2016252-08916
  4. Baskent, E. Z., Borges, J. G., Kašpar, J., Tahri, M., 2020: A Design for Addressing Multiple 498 Ecosystem Services in Forest Management Planning. Forests, 11:1108.10.3390/f11101108
  5. Battles, J. J., Shlisky, A. J., Barrett, R. H., Heald, R. C., Allen-Diaz, B. H., 2001: The effects of forest management on plant species diversity in a Sierran conifer forest. Forest Ecology and Management, 146: 211–222.10.1016/S0378-1127(00)00463-1
  6. Boncina, A., 2011: History, current status and future prospects of uneven-aged forest management in the Dinaric region: An overview. Forestry: An International Journal of Forest Research, 84:467–478.10.1093/forestry/cpr023
  7. Borges, J., Garcia-Gonzalo, J., Bushenkov, V., Mcdill, M. E., Marques, S., Oliveira, M. M., 2014: Addressing Multicriteria Forest Management With Pareto Frontier Methods: An Application in Portugal. Forest Science, 60:63–72.10.5849/forsci.12-100
  8. Bošeľa, M., Konôpka, B., Šebeň, V., Vladovič, J., Tobin, B., 2014: Modelling height to diameter ratio–an opportunity to increase Norway spruce stand stability in the Western 512 Carpathians. Forestry Journal, 60:71–80.10.2478/forj-2014-0007
  9. Brang, P., Spathelf, P., Larsen, J. B., Bauhus, J., Boncčìna, A., Chauvin, C. et al., 2014: Suitability of close-to-nature 516 silviculture for adapting temperate European forests to climate change. Forestry: An 517 International Journal of Forest Research, 87:492–503.10.1093/forestry/cpu018
  10. Brukas, V., Jellesmark Thorsen, B., Helles, F., Tarp, P., 2001: Discount rate and harvest policy: Implications for Baltic forestry. Forest Policy and Economics, 2:143–156.10.1016/S1389-9341(01)00050-8
  11. Brunet, J., Fritz, Ö., Richnau, G., 2010: Biodiversity in European beech forests–A review with recommendations for sustainable forest management. Ecological Bulletins, 53:77–94.
  12. Canham, H. O., 1990: Decision Matrices and Weighting Summation Valuation in Forest Land Planning. Northern Journal of Applied Forestry, 7:77–79.10.1093/njaf/7.2.77
  13. Creutzburg, M. K., Scheller, R. M., Lucash, M. S., LeDuc, S. D., Johnson, M. G., 2017: Forest management scenarios in a changing climate: Trade-offs between carbon, timber, and old forest. Ecological Applications, 27:503–518.10.1002/eap.1460
  14. Ďurský, J., 1997: Modellierung der Absterbeprozesse in Rein- und Mischbeständen aus Fichte und Buche. Allgemeine Forst-und Jagdzeitung, 168:131–134.
  15. Ďurský, J., Pretzsch, H., Kahn, M., 1996: Modellhalfe Nachbildung der Mortalität von Fichte und Buche in Einzelbaumsimulatoren. Jahrestagung 1996 der Sektion Ertragskunde des DVFFA in Neresheim, p. 267–277.
  16. Fabrika, M., 2005: Forest biodynamic simulator SIBYLA, conception, construction and program solution [PhD Thesis]. Technical University in Zvolen.
  17. Gadow, K. V., Kurttila, M., Leskinen, P., Leskinen, L., Nuutinen, T., Pukkala, T., 2007: Designing forested landscapes to provide multiple services. CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, 38:1–15.10.1079/PAVSNNR20072038
  18. Garcia-Gonzalo, J., Bushenkov, V., McDill, M., Borges, J., 2014: A Decision Support System for Assessing Trade-Offs between Ecosystem Management Goals: An Application in Portugal. Forests, 6:65–87.10.3390/f6010065
  19. Grilli, G., Jonkisz, J., Ciolli, M., Lesinski, J., 2016: Mixed forests and ecosystem services: 547 Investigating stakeholders’ perceptions in a case study in the Polish Carpathians. Forest 548 Policy and Economics, 66:11–17.10.1016/j.forpol.2016.02.003
  20. Gritten, D., Mola-Yudego, B., Delgado-Matas, C., Kortelainen, J., 2013: A quantitative review of the representation of forest conflicts across the world: Resource periphery and emerging patterns. Forest Policy and Economics, 33:11–20.10.1016/j.forpol.2012.06.008
  21. Hahn, W. A., Härtl, F., Irland, L. C., Kohler, C., Moshammer, R., Knoke, T., 2014: Financially optimized management planning under risk aversion results in even-flow 555 sustained timber yield. Forest Policy and Economics, 42:30–41.10.1016/j.forpol.2014.02.002
  22. Halaj, J., 1987: Rastové tabuľky hlavných drevín ČSSR. Bratislava, Príroda, 361 p.
  23. Hamilton, N. E., Ferry, M., 2018: ggtern: Ternary Diagrams Using ggplot2. Journal of Statistical Software, Code Snippets, 87:1–17.10.18637/jss.v087.c03
  24. Chang, S. J., 1984: Determination of the optimal rotation age: A theoretical analysis. Forest Ecology and Management, 8:137–147.10.1016/0378-1127(84)90031-8
  25. Chaudhary, A., 2016: Impact of Forest Management on Species Richness: Global Meta Analysis and Economic Trade-Offs. Scientific Reports, 6. Available at: https://doi.org/10.1038/srep2395456610.1038/srep23954
  26. Kahn, M., Pretzsch, H., 1997: Das Wuchsmodell SILVA - Parametrisierung der Version 2.1 567 für Rein- und Mischbestände aus Fichte und Buche. Allgemeine Forst-und Jagdzeitung, 168:115–123.
  27. Kerr, G., 1999: The use of silvicultural systems to enhance the biological diversity of plantation forests in Britain. Forestry: An International Journal of Forest Research, 72:191–205.10.1093/forestry/72.3.191
  28. Lähde, E., Laiho, O., Lin, C. J., 2010: Silvicultural alternatives in an uneven-sized forest dominated by Picea abies. Journal of Forest Research, 15:14–20.10.1007/s10310-009-0154-4
  29. Leech, J., 2014: Rotation length and discount rates. Australian Forestry, 77:114–122.10.1080/00049158.2014.945110
  30. Lexerød, N., Gobakken, T., 2008: Economic efficiency of selective cutting under different 578 timber price scenarios. Norwegian University of life sciences, Ås, PhD Thesis.
  31. Lotov, A., Bushenkov, V., Kamenev, G., 2004: Interactive decision maps: Approximation and visualization of Pareto frontier. Kluwer Academic Publishers.10.1007/978-1-4419-8851-5
  32. Marler, R. T., Arora, J. S., 2010: The weighted sum method for multi-objective optimization: New insights. Structural and Multidisciplinary Optimization, 41:853–583.10.1007/s00158-009-0460-7
  33. Matthew, J. D., 1989: Silvicultural systems (Reprinted). Oxford University Press.
  34. Merganič, J., Merganičová, K., Výbošťok, J., Valent, P., Bahýľ, J., Yousefpour, R., 2020: Searching for Pareto Fronts for Forest Stand Wind Stability by Incorporating Timber and Biodiversity Values. Forests, 11.10.3390/f11050583
  35. Notaro, S., Paletto, A., 2011: Links between Mountain Communities and Environmental Services in the Italian Alps. Sociologia Ruralis, 51:137–157.10.1111/j.1467-9523.2011.00532.x
  36. Palmer, S., 1994: Von der Auslesedurchforstung zur Zieldurchmesser-Ernte bei Buche. Allgemeine Forstzeitschrift, p. 528–531.
  37. Pan, Y., Birdsey, R. A., Fang, J., Houghton, R., Kauppi, P. E., Kurz, W. A. et al., 2011: A Large and Persistent Carbon Sink in the World’s Forests. Science, 333:988–993.10.1126/science.1201609
  38. Peltola, H., Kellomäki, S., Hassinen, A., Granander, M., 2000: Mechanical stability of Scots pine, Norway spruce and birch: An analysis of tree-pulling experiments in Finland. Forest Ecology and Management, 135:143–153.10.1016/S0378-1127(00)00306-6
  39. Pilvere, I., Sisenis, L., Feldmanis, R., 2019: Choosing optimal interest rate for sustainable forest management. International Multidisciplinary 604 Scientific GeoConference : SGEM, 19:641–648.10.5593/sgem2019/3.2/S14.083
  40. Porter, M. L., Labisky, R. F., 1986: Home Range and Foraging Habitat of Red-Cockaded Woodpeckers in Northern Florida. The Journal of Wildlife Management, 50:239–608.10.2307/3801905
  41. Pretzsch, H., 2009: Forest Dynamics, Growth, and Yield. Forest Dynamics, Growth and Yield, p. 1–39.10.1007/978-3-540-88307-4_1
  42. Puettmann, K. J., Coates, K. D., Messier, C. C., 2008: A critique of silviculture: Managing for complexity. Island Press.
  43. Pukkala, T., 2016: Which type of forest management provides most ecosystem services? Forest Ecosystems, 3:9.10.1186/s40663-016-0068-5
  44. Pukkala, T., Lähde, E., Laiho, O., 2015: Which trees should be removed in thinning treatments? Forest Ecosystems, 2:32.10.1186/s40663-015-0056-1
  45. Pukkala, T., Lähde, E., Laiho, O., Salo, K., Hotanen, J.-P., 2011: A multifunctional comparison of even-aged and uneven-aged forest management in a boreal region. Canadian Journal of Forest Research, 41: 851–862.10.1139/x11-009
  46. Reininger, H., 1989: Zielstärken-Nutzung oder die Plenterung des Altersklassenwaldes (4. 623 Aufl.). Wien : Österreichischer Agrarverlag.
  47. Roessiger, J., Kulla, L., Bošeľa, M., 2018: Finding equilibrium in continuous-cover forest management sensitive to interest rates using an advanced matrix transition model. Journal of Forest Economics, 33:83–94.10.1016/j.jfe.2018.12.001
  48. Roocks, P., 2016: Computing Pareto Frontiers and Database Preferences with the rPref Package. The R Journal, 8:393.10.32614/RJ-2016-054
  49. Rosser, J. B., 2013: Special problems of forests as ecologic-economic systems. Forest Policy and Economics, 35:31–38.10.1016/j.forpol.2013.06.005
  50. Sedmák, R., Fabrika, M., Bahýľ, J., Pôbiš, I., Tuček, J., 2013: Application of simulation and optimization tools for developing forest management plans in the Slovak natural and management conditions. Implementation of DSS tools into the forestry practice : 635 reviewed conference proceedings, p. 139–152.
  51. Sedmák, R., Tuček, J., Levická, M., Sedmáková, D., Bahýľ, J., Juško, V. et al., 2020: Optimizing the Tending of Forest Stands with Interactive Decision Maps to Balance the Financial Incomes and Ecological Risks according to Owner Demands: Case Study in Rakovník, the Czech Republic. Forests, 11:730.10.3390/f11070730
  52. Seidl, R., Fernandes, P. M., Fonseca, T. F., Gillet, F., Jönsson, A. M., Merganičová, K. et al., 2011: Modelling natural disturbances in forest ecosystems: A review. Ecological Modelling, 222:903–924.10.1016/j.ecolmodel.2010.09.040
  53. Seidl, R., Rammer, W., Lasch, P., Badeck, F., Lexer, M. J., 2008: Does conversion of even-aged, secondary coniferous forests affect carbon sequestration? A simulation study under changing environmental conditions. Silva Fennica, 42:369.10.14214/sf.243
  54. Shannon, C. E., Weaver, W., 1949: The mathematical theory of communication. Urbana, Ill. 1, 17.
  55. Schulze, E. D., Aas, G., Grimm, G. W., Gossner, M. M., Walentowski, H., Ammer, C. et al., 2016: A review on plant diversity and forest management of European beech forests. European Journal of Forest Research, 135:51–67.10.1007/s10342-015-0922-y
  56. Schütz, J. P., 2001: Der Plenterwald und weitere Formen strukturierter und gemischter Wälder.
  57. Schütz, J. P., Götz, M., Schmid, W., Mandallaz, D., 2006: Vulnerability of spruce (Picea abies) and beech (Fagus sylvatica) forest stands to storms and consequences for silviculture. European Journal of Forest Research, 125:291–302.10.1007/s10342-006-0111-0
  58. Spellerberg, I., Fedor, P., 2003a: A tribute to Claude Shannon (1916–2001) and a plea for more rigorous use of species richness, species diversity and the ’Shannon–Wiener’Index. Global Ecology and Bio-geography, 12:177–179.10.1046/j.1466-822X.2003.00015.x
  59. Spellerberg, I., Fedor, P., 2003b: A tribute to Claude Shannon (1916–2001) and a plea for more rigorous use of species richness, species diversity and the ’Shannon–Wiener’Index. Global Ecology and Bio-geography, 12:177–179.10.1046/j.1466-822X.2003.00015.x
  60. Tahvonen, O., 2009: Optimal Choice Between Even- and Uneven-Aged Forestry. Natural Resource Modeling, 22:289–321.10.1111/j.1939-7445.2008.00037.x
  61. Tahvonen, O., Pukkala, T., Laiho, O., Lähde, E., Niinimäki, S., 2010: Optimal management of uneven-aged Norway spruce stands. Forest Ecology and Management, 260:106–115.10.1016/j.foreco.2010.04.006
  62. Thompson, I. D., 2009: Forest resilience, biodiversity, and climate change: A synthesis of the biodiversity / resiliende / stability relationship in forest ecosystems. Secretariat of the Convention on Biological Diversity.
  63. Vacchiano, G., Derose, R. J., Shaw, J. D., Svoboda, M., Motta, R., 2013: A density management diagram for Norway spruce in the temperate European montane region. European Journal of Forest Research, 132535–549.10.1007/s10342-013-0694-1
  64. Valent, P., Merganič, J., Výbošťok, J., 2018: Optimus– Software for Multi-criteria analysis. (1.0) [Embarcadero® Delphi XE7]. TU Zvolen.
  65. Vospernik, S., Monserud, R. A., Sterba, H., 2010: Do individual-tree growth models correctly represent height: Diameter ratios of Norway spruce and Scots pine? Forest Ecology and Management, 260:1735–1753.10.1016/j.foreco.2010.07.055298755021151352
  66. Weise, W., 1880: Ertragstafeln für die Kiefer. Springer.10.1007/978-3-662-33008-1
  67. Wickham, H., 2016: ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. Available at: https://ggplot2.tidyverse.org10.1007/978-3-319-24277-4
  68. Yousefpour, R., Augustynczik, A. L. D., 2019: Uncertainty of Carbon Economy Using the Faustmann Model. Journal of Forest Economics, 34:99–128.10.1561/112.00000444
  69. Yousefpour, R., Temperli, C., Jacobsen, J. B., Thorsen, B. J., Meilby, H., Lexer, M. J. et al., 2017: A framework for modeling adaptive forest management and decision making under climate change. Ecology and Society, 22. Available at: https://doi.org/10.5751/ES-09614-22044069710.5751/ES-09614-220440
  70. Zubizarreta-Gerendiain, A., Pukkala, T., Peltola, H., 2016: Effects of wind damage on the optimal management of boreal forests under current and changing climatic conditions. Canadian Journal of Forest Research. Available at: https://doi.org/10.1139/cjfr-2016-022610.1139/cjfr-2016-0226
  71. R Core Team, 2019: R: A language and environment for statistical computing. Foundation for Statistical Computing. Available at: https://www.r-project.org/
DOI: https://doi.org/10.2478/forj-2021-0019 | Journal eISSN: 2454-0358 | Journal ISSN: 2454-034X
Language: English
Page range: 23 - 35
Published on: Mar 8, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Ján Merganič, Katarína Merganičová, Jozef Výbošťok, Peter Valent, Ján Bahýľ, published by National Forest Centre and Czech University of Life Sciences in Prague, Faculty of Forestry and Wood Sciences
This work is licensed under the Creative Commons Attribution 4.0 License.