IDEAS home Printed from https://ideas.repec.org/a/caa/jnljfs/v68y2022i11id98-2022-jfs.html
   My bibliography  Save this article

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

Author

Listed:
  • Jan Cukor

    (Forestry and Game Management Research Institute, v.v.i., Jíloviště-Strnady, Czech Republic
    Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic)

  • František Havránek

    (Forestry and Game Management Research Institute, v.v.i., Jíloviště-Strnady, Czech Republic)

  • Sergei Sokolov

    (Republican Union of Hunters and Fishers in Kazakhstan, Almaty, Kazakhstan)

  • Vlastimil Skoták

    (Forestry and Game Management Research Institute, v.v.i., Jíloviště-Strnady, Czech Republic
    Faculty of Forestry and Wood Technology, Mendel University Brno, Brno, Czech Republic)

  • Lucie Hambálková

    (Forestry and Game Management Research Institute, v.v.i., Jíloviště-Strnady, Czech Republic)

  • Richard Ševčík

    (Forestry and Game Management Research Institute, v.v.i., Jíloviště-Strnady, Czech Republic)

  • Zdeněk Vacek

    (Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic)

  • Daniyar Nurseitov

    (KMG Engineering, Nur-Sultan, Kazakhstan)

Abstract

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.

Suggested Citation

  • Jan Cukor & František Havránek & Sergei Sokolov & Vlastimil Skoták & Lucie Hambálková & Richard Ševčík & Zdeněk Vacek & Daniyar Nurseitov, 2022. "Estimation of ungulate population density in Kazakhstan: Case study from foothill ecosystems," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 68(11), pages 452-458.
  • Handle: RePEc:caa:jnljfs:v:68:y:2022:i:11:id:98-2022-jfs
    DOI: 10.17221/98/2022-JFS
    as

    Download full text from publisher

    File URL: http://jfs.agriculturejournals.cz/doi/10.17221/98/2022-JFS.html
    Download Restriction: free of charge

    File URL: http://jfs.agriculturejournals.cz/doi/10.17221/98/2022-JFS.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.17221/98/2022-JFS?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Petr Marada & Jan Cukor & Rostislav Linda & Zdeněk Vacek & Stanislav Vacek & František Havránek, 2019. "Extensive Orchards in the Agricultural Landscape: Effective Protection against Fraying Damage Caused by Roe Deer," Sustainability, MDPI, vol. 11(13), pages 1-12, July.
    2. Boyce, Mark S. & Baxter, Peter W.J. & Possingham, Hugh P., 2012. "Managing moose harvests by the seat of your pants," Theoretical Population Biology, Elsevier, vol. 82(4), pages 340-347.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kalén, Christer & Andrén, Henrik & Månsson, Johan & Sand, Håkan, 2022. "Using citizen data in a population model to estimate population size of moose (Alces alces)," Ecological Modelling, Elsevier, vol. 471(C).
    2. Lu, Yujie & Chang, Ruidong & Shabunko, Veronika & Lay Yee, Amy Tan, 2019. "The implementation of building-integrated photovoltaics in Singapore: drivers versus barriers," Energy, Elsevier, vol. 168(C), pages 400-408.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:caa:jnljfs:v:68:y:2022:i:11:id:98-2022-jfs. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.