IDEAS home Printed from https://ideas.repec.org/a/vrs/quageo/v37y2018i3p35-52n3.html
   My bibliography  Save this article

Toponymy of the Ancient Sary-Arka (North-Eastern Kazakhstan)

Author

Listed:
  • Saparov Kuat
  • Yeginbayeva Aigul

    (Department of Physical Geography, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan)

  • Chlachula Jiri

    (Institute of Geoecology and Geoinformation, Adam Mickiewicz University in Poznań, Poland)

Abstract

This study examines the etymology of the principal physiographic entities of the ancient Sary-Arka area–meaning in the old Turkic language Yellowing Ridge – encompassing the present territory of parkland-steppes, rocky highlands and the adjacent mountains of North and East Kazakhstan. The current linguistic evidence points to a complex and chronologically long culture-historical development reflected by the local place names best-recorded for the major rivers and mountains (hydronyms and oronyms, respectively). Not all geo-site names are securely determined by using modern onomastics. Records of material culture provide additional multi-proxy information. Local uniformity of some toponyms across the extensive area assuming a common cultural background attests to a broader ethnic homogeneity and/or mobility of the ancient populations inhabiting this vast and geomorphically mosaic land. This suggests a close relationship and interactions (including demographic exchanges and mixing) between the past pastoral ethics in the parkland-steppe and semi-desert areas north of Lake Balkhash between the Aral Sea and the southern Urals in the West and the Alatau–Altai Mountain systems in the East. Whereas the hydronyms of the Sary-Arka may have a rather complex and not fully clear origin with a connection to the Turkic-Tatar medieval tribes and nations’ occupancy in northern Central Asia eventually modified into the present Kazakh language forms, the oronyms of the East Kazakhstan mountain ranges indicate the Mongolian roots.

Suggested Citation

  • Saparov Kuat & Yeginbayeva Aigul & Chlachula Jiri, 2018. "Toponymy of the Ancient Sary-Arka (North-Eastern Kazakhstan)," Quaestiones Geographicae, Sciendo, vol. 37(3), pages 35-52, September.
  • Handle: RePEc:vrs:quageo:v:37:y:2018:i:3:p:35-52:n:3
    DOI: 10.2478/quageo-2018-0024
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/quageo-2018-0024
    Download Restriction: no

    File URL: https://libkey.io/10.2478/quageo-2018-0024?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
    ---><---

    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:vrs:quageo:v:37:y:2018:i:3:p:35-52:n:3. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.