Using innovative technological methods for monitoring and accounting of rare and endangered species of wild animals in Kazakhstan
نویسندگان
1 Department of Hunting and Fisheries, Faculty of Forestry, Wildlife and Environment, S.Seifullin Kazakh Agrotechnical Research University, Astana City, Republic of Kazakhstan
2 Department of Hunting and Fisheries, Faculty of Forestry, Wildlife and Environment, S.Seifullin Kazakh Agrotechnical Research University, Astana City, Republic of Kazakhstan
3 Department of Hunting and Fisheries, Faculty of Forestry, Wildlife and Environment, S.Seifullin Kazakh Agrotechnical Research University, Astana City, Republic of Kazakhstan
4 Department of Hunting and Fisheries, Faculty of Forestry, Wildlife and Environment, S.Seifullin Kazakh Agrotechnical Research University, Astana City, Republic of Kazakhstan
5 Department of Hunting and Fisheries, Faculty of Forestry, Wildlife and Environment, S.Seifullin Kazakh Agrotechnical Research University, Astana City, Republic of Kazakhstan
6 Department of Hunting and Fisheries, Faculty of Forestry, Wildlife and Environment, S.Seifullin Kazakh Agrotechnical Research University, Astana City, Republic of Kazakhstan
7 Department of Hunting and Fisheries, Faculty of Forestry, Wildlife and Environment, S.Seifullin Kazakh Agrotechnical Research University, Astana City, Republic of Kazakhstan
8 Public Association “Temirtau City Society of Hunters and Fishermen”, Karaganda Region, Temirtau City, Republic of Kazakhstan
doi
10.22124/cjes.2025.8699چکیده
Preservation of endangered and rare wildlife species in Kazakhstan, especially symbolic species such as the Kazakh argali, Bukhara gazelle, Saiga, Turkmen Kulan, and Jayran, requires using advanced and accurate methods of monitoring and recording. Advanced technologies for the monitoring and population management of these species are presented in this study. With the help of intelligent camera traps, satellite tracking (GPS/GSM), geographic information systems (GIS), and big data analysis, finer details about the distribution, habits, and dangers of such species can be collected. Artificial intelligence and image processing-based technologies also play an important role in automatically determining species through photographs and camera trap images taken with drones. For example, satellite monitoring and machine learning tracking of the Saiga population has provided increased accuracy in numbers and identification of critical habitats. The recovery of Bukhara and Turkmen Kulan has also allowed for improved management of migrations and anti-poaching with the help of real-time tracking technology. This study has shown that integration of traditional practices with advanced technology not only increases the accuracy and efficiency of the field work but also immensely supports the formulation of conservation plans scientifically.
