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Estimation of ungulate population density in Kazakhstan: Case study from foothill ecosystems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020702%3A_____%2F22%3AN0000018" target="_blank" >RIV/00020702:_____/22:N0000018 - isvavai.cz</a>

  • Alternative codes found

    RIV/62156489:43410/22:43922194 RIV/60460709:41320/22:94416

  • Result on the web

    <a href="https://www.agriculturejournals.cz/pdfs/jfs/2022/11/02.pdf" target="_blank" >https://www.agriculturejournals.cz/pdfs/jfs/2022/11/02.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.17221/98/2022-JFS" target="_blank" >10.17221/98/2022-JFS</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Estimation of ungulate population density in Kazakhstan: Case study from foothill ecosystems

  • Original language description

    Data on wildlife abundance is an important indicator both for the species concerned and the stability of entire ecosystems as well as for sustainable game management. Therefore, the abundance of ungulate game was verified in a foothill region of Kazakhstan. The methods of thermal imagery and faecal pellet group (FPG) census on transects were compared. The results obtained by the FPG counting method for moose (Alces alces, 0.34 individuals per 100 ha) and maral deer (Cervus elaphus sibiricus, 0.04 individuals per 100 ha) were relatively consistent with the data reported by the hunting ground tenants. Only one moose was detected by the thermal imaging transect count method. The results show that deer and moose abundance in Kazakhstan is significantly lower than in Central and Eastern Europe. Thus, for Kazakhstan, the method of FPG counting is well applicable for both routine and control counts. Detailed data on game populations can be obtained using the camera trap counting method, which has not been verified in Kazakhstan as yet.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    40102 - Forestry

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Forest Science

  • ISSN

    1212-4834

  • e-ISSN

    1805-935X

  • Volume of the periodical

    68

  • Issue of the periodical within the volume

    11

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    7

  • Pages from-to

    452-458

  • UT code for WoS article

    000868179800001

  • EID of the result in the Scopus database

    2-s2.0-85144597505