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The Impact of Assumed Uncertainty on Long-Term Decisions in Forest Spatial Harvest Scheduling as a Part of Sustainable Development

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F17%3A74989" target="_blank" >RIV/60460709:41110/17:74989 - isvavai.cz</a>

  • Alternative codes found

    RIV/60460709:41320/17:74989

  • Result on the web

    <a href="http://dx.doi.org/10.3390/f8090335" target="_blank" >http://dx.doi.org/10.3390/f8090335</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/f8090335" target="_blank" >10.3390/f8090335</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Impact of Assumed Uncertainty on Long-Term Decisions in Forest Spatial Harvest Scheduling as a Part of Sustainable Development

  • Original language description

    The paper shows how the aspects of uncertainty in spatial harvest scheduling can be embedded into a harvest optimization model. We introduce an approach based on robust optimization that secures better scheduling schematics of the decision maker while eliminating a significant portion of uncertainty in the decisions. The robust programming approach presented in this paper was applied in a real management area of Central Europe. The basic harvest scheduling model with harvest-flow constraints was created. The uncertainty that is assessed here is due to forest inventory errors and growth prediction errors of stand volume. The modelled results were compared with randomly simulated errors of stand volume. The effects of different levels of robustness and uncertainty on harvest-flow were analyzed. The analysis confirmed that using the robust approach for harvest decisions always ensures significantly better solutions in terms of the harvested volume than the worst-case scenarios created under the same con

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    40102 - Forestry

Result continuities

  • Project

    <a href="/en/project/QJ1320230" target="_blank" >QJ1320230: Forestry Decision Support Systems to improve wood producing and non-wood-producing forest functions</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    FORESTS

  • ISSN

    1999-4907

  • e-ISSN

  • Volume of the periodical

    8

  • Issue of the periodical within the volume

    9

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    14

  • Pages from-to

    1-14

  • UT code for WoS article

    000411523700033

  • EID of the result in the Scopus database

    2-s2.0-85028992404