Development of an educational and methodological system of an electronic databank based on the cadastre of animals of the Trans-Ili Alatau (Heteroptera, Pentatomorpha)

Abstract

Relevance. The relevance of the study lies in the widespread use of digital information storage systems in the practice of various modern organisations and related to the need to create an educational and methodological base to ensure the effective functioning of such systems. Purpose. The purpose of the study is a systematic investigation of the general principles of the development of the educational and methodological base of the electronic databank, the basis of which is the cadastre of animals of the Trans-Ili Alatau (Heteroptera, Pentatomorpha). Methodology. The methodological approach in this study is based on theoretical and applied research on a wide range of issues related to the development of electronic databank systems based on the cadastre of fauna representatives. Results. The findings indicate the presence of numerous advantages of the development of an educational and methodological system of an electronic databank based on the cadastre of animals. This kind of system allows saving information on animal species living within a given habitat and receiving it for scientific research. In addition, an effective assessment of the current state of populations of the most significant species of Heteroptera and Pentatomorpha, and a retrospective analysis of the dynamics of changes in the population of species and the long-term forecasting of the development of animal populations for a sufficiently long time become available. Conclusions. The study concludes that developing an educational and methodological system of an electronic databank based on the cadastre of animals of the Trans-Ili Alatau provides significant advantages. This system enables the preservation and retrieval of information on local animal species, facilitating scientific research and effective assessment of species populations. Moreover, it allows for retrospective analysis and long-term forecasting of population dynamics, offering valuable insights for conservation efforts. Keywords: information storage; electronic databases; e-learning methods; local fauna; census of wildlife; nature conservation