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

Jan Cukor, František Havránek, Sergei Sokolov, Vlastimil Skoták, Lucie Hambálková, Richard Ševčík, Zdeněk Vacek and Daniyar Nurseitov
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Jan Cukor: Forestry and Game Management Research Institute, v.v.i., Jíloviště-Strnady, 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
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

Journal of Forest Science, 2022, vol. 68, issue 11, 452-458

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.

Keywords: Alces alces; Cervus elaphus sibiricus; counting methods; wildlife management (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnljfs:v:68:y:2022:i:11:id:98-2022-jfs

DOI: 10.17221/98/2022-JFS

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