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Multi-attribute decision making and geographic information systems: potential tools for evaluating forest ecosystem services

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F21%3A89600" target="_blank" >RIV/60460709:41320/21:89600 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/article/10.1007/s13595-021-01049-0" target="_blank" >https://link.springer.com/article/10.1007/s13595-021-01049-0</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s13595-021-01049-0" target="_blank" >10.1007/s13595-021-01049-0</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multi-attribute decision making and geographic information systems: potential tools for evaluating forest ecosystem services

  • Original language description

    Due to social and environmental changes over the last decade, managers use multi-attribute decision-making techniques and geographic information systems to support participatory planning. Several studies have indicated that the combined use improves forest planning by applying a set of key criteria to simultaneously evaluate various ecosystem services. center dot Context Forest landscapes are essential elements for the provision of ecosystem services and they contribute to human well-being. The identification of management options that consider various objectives and stakeholder interests requires strong decision support tools. center dot Aims We review the current state of knowledge on the use of decision-making approaches in combination with geospatial technologies, and the criteria most often used to assess supporting and cultural services in scientific literature. center dot Results The analysis demonstrated that Analytic Hierarchy Process is the most common method used in combination with spatia

  • 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/EF16_019%2F0000803" target="_blank" >EF16_019/0000803: Advanced research supporting the forestry and wood-processing sector´s adaptation to global change and the 4th industrial revolution</a><br>

  • Continuities

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

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Annals of Forest Science

  • ISSN

    1286-4560

  • e-ISSN

  • Volume of the periodical

    78

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    FR - FRANCE

  • Number of pages

    19

  • Pages from-to

    1-19

  • UT code for WoS article

    000640563200001

  • EID of the result in the Scopus database

    2-s2.0-85104479364