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Czasopismo

2020 | 164 | 03 |

Tytuł artykułu

Optymalizacja rozmiaru użytkowania rębnego metodą programowania liniowego

Autorzy

Treść / Zawartość

Warianty tytułu

EN
Harvest volume optimization with linear programming

Języki publikacji

PL

Abstrakty

EN
The paper presents a linear programming method of harvest volume determination including calculations of net present value (NPV) of standing timber. NPV was computed taking into account the costs of harvesting and skidding and a discount rate of 2.5%. Harvest volume was determined for three 10−year management periods according to the following four scenarios: (1) Vol_max – timber volume maximization within constraints concerning harvest area (4 ha), cutting interval (5 year), felling a maximum of two adjacent cutting plots over a 10−year period, combined harvest area per decade (a quarter of the total area of near−mature, mature, and overmature stands), and minimum stand age (starting with near−mature stands); (2) RA – as in the Vol_max scenario plus the harvest area per decade should be smaller than or equal to the regulated area; (3) NPV_max – NPV maximization while respecting all constraints from the Vol_max scenario; and (4) IUL – pursuant to the Instrukcja… [2012]. Calculations included allowable cuts by maturity for mature stands (the last age class) and near−mature and mature stands (two last age classes), as well as the allowable cut for mean age equalization. Subsequently, the optimum allowable cut was determined and particular stands were designated for felling, starting with the oldest ones, and taking into consideration spatial layout. An optimization case study was done for the Seredzice forest unit designated for clearcutting, consisting of pine stands or stands with a predominance of Scots pine growing on coniferous and mixed coniferous habitat types with a total area of 813.20 ha in the Marcule Forest District (C Poland). The total harvest volume determined using linear programming for a 30−year period was 81.17, 74.70, and 80.84 thousand m³ in the Vol_max, RA, and NPV_max scenarios, respectively, which was greater by 29%, 19%, and 28% than in the IUL scenario (62.95 thousand m³). The total NPV of stands designated for harvesting in the 30−year period was 9423, 8824, and 9483 thousand PLN for the Vol_max, RA, and NPV_max scenarios, respectively, as compared to 7492 thousand PLN in the IUL scenario. The simultaneous determination of harvest volume for several management periods by analyzing the parameters of individual stands and selecting the optimum harvest period for them makes it possible to better exploit the production potential of the forest and increase both the volume and value of the harvested timber over a long time horizon.

Wydawca

-

Czasopismo

Rocznik

Tom

164

Numer

03

Opis fizyczny

s.187-195,rys.,tab.,bibliogr.

Twórcy

autor
  • Nadleśnictwo Marcule, Marcule 1, 27-100 Iłża
autor
  • Katedra Zarządzania Zasobami Leśnymi, Uniwersytet Rolniczy, al.29 Listopada 46, 31-425 Kraków

Bibliografia

  • Adamowicz K. 2018a. A review of selected methods to determine the economic value of forest: Polish research. Chapter 4: 72-85.
  • Adamowicz K. 2018b. The unresolved problem of determining the forest interest rate. Folia Forestalia Polonica, Series A – Forestry 60 (2): 122-130.
  • Banaś J., Kożuch A., Zaborski K. 2019. Zastosowanie dekompozycji szeregów czasowych do analizy wahań podaży i cen drewna na przykładzie Nadleśnictwa Marcule. Sylwan 163 (10): 820-829. DOI: https://doi.org/10.26202/sylwan. 2019064.
  • Bednarski K., Miścicki S. 2016. Kolej rębu drzewostanów sosnowych według kryteriów ekonomicznych. Sylwan 160 (3): 197-206. DOI: https://doi.org/10.26202/sylwan.2015095.
  • Bettinger P., Boston K., Siry J. P., Grebner D. L. 2017. Forest Management and Planning. Academic Press.
  • Buongiorno J., Gilless J. 2003. Decision Methods for Forest Resource Management. Academic Press.
  • Curtis F. H. 1962. Linear programming in forestry. Journal of Forestry 60 (9): 611-616.
  • European Framework for integrated environmental and economic accounting for forests. 2002. IEEAF. Annex3 – valuation methods.
  • Galatsidas S., Petridis K., Arabatzis G., Kondos K. 2013. Forest production management and harvesting scheduling using dynamic Linear Programming (LP) models. ELSEVIER Procedia Technology 8: 349-354.
  • Garcia O. 1990. Linear programming and related approaches in forest planning. New Zeland Journal of Forestry Science 20 (3): 307-331.
  • Grege-Staltmane E., Tuherm H. 2010. Importance of discount rate in Latvian Forest Valuation. Baltic Forestry 16 (2): 303-311.
  • Hillier F. S., Lieberman G. J. 2010. Introduction to operations research. 9th ed. McGraw-Hill, New York.
  • Hoganson H. M., Meyer N. G. 2015. Constrained Optimization for Addressing Forest-Wide Timber Production. Curr Forestry Rep 1: 33-43. DOI: 10.1007/s40725-015-0004-x.
  • Instrukcja urządzania lasu. 2012. PGL LP, CILP, Warszawa.
  • Johnson K. N., Scheurman H. L. 1977. Techniques for prescribing optimal timber harvest and investment under different objectives-Discussion and synthesis. Forest Science Monograph. 18-31.
  • Kaspar J., Marušák R., Hlavaty R. 2015. Aforest planning Approach with respect to the creation of overmature reservedareas in managed forests. Forests 6: 328-343. DOI: 3390/f6020328.
  • Kaspar J., Marušák R., Vopěnka P. 2013. Comparison of two alternative optimization techniques for spatial harvest planning. Scientia Agriculturae Bohemica 44: 90-96.
  • Marušák R. 2007. Alternative harvest scheduling for final cut with respect to silvicultural requirements. Forestry Journal 53: 117-127.
  • Marušák R., Kaspar J. 2015. Spatially-constrained harvest scheduling with respect to environmental requirements and silvicultural system. Forestry Journal 61: 71-77.
  • Menzel S., Buchecker M., Nordström E. 2012. Decision support systems in forest management: requirements from a participatory planning perspective. European Journal of Forest Research. 131: 1367-1379.
  • Nelson J. 2003. Forest-level models and challenges for their successful application. Canadian Journal of Forest Research. 33 (3): 422-429.
  • Wojda A. P. 2015. Elementy programowania liniowego i metod sieciowych. Wydawnictwa AGH, Kraków.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

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