| Authors |
Dujsebaeva Tat'yana Nikolaevna, Candidate of biological sciences, leading specialist, Association for the Conservation of Biodiversity of Kazakhstan (67 Hodzhanova street, Almaty, the Republic of Kazakhstan), E-mail: dujsebayeva@mail.ru
Malakhov Dmitriy Viktorovich, Leading researcher, National Center of Space Research and Technology (15A Shevchenko street, Almaty, the Republic of Kazakhstan), E-mail: d_malakhov_73@mail.ru
Berezovikov Nikolay Nikolaevich, Candidate of biological sciences, senior researcher, Institute of Zoology of Committee of Science of Ministry Education and Science of the Republic Kazakhstan (93 al-Farabi avenue, Almaty, the Republic of Kazakhstan), E-mail: berezovikov_n@mail.ru
Guo Xianguang, PhD, Institute of Biology, Chinese Academy of Sciences (Chengdu, People’s Republic of China), E-mail: guoxg@cib.ac.cn
Liu Jinlong, M.S., Institute of Biology, Chinese Academy of Sciences (Chengdu, People’s Republic of China), E-mail: guoxg@cib.ac.cn
Cherednichenko Aleksandr Vladimirovich, Doctor of geographical sciences, principal researcher, Scientific Research Institute of Biology and Biotechnology, Kazakh National University (71 al-Farabi avenue, Almaty, the Republic of Kazakhstan), E-mail: geliograf@mail.ru
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| Abstract |
Background. The use of GIS in zoology gives an opportunity for wide and extended study of isolated populations existing within complex terrain areas. We attempted GIS-based comparative analysis of the distribution and habitat conditions for two lizard’s species of the genus Eremias. The species analyzed inhabit the intermountain depressions of Tien-Shen.
Material and methods. The ground data on distribution of the “Ily form” of Eremias arguta and the Tien-Shan Racerunner Eremias stummeri were collected during numerous field surveys. In addition, we used museum collections and previously published data to collect as much as possible ground observations of both species. The model was developed in ESRI ArcGIS software using the original methodology based on the use of abiotic variables, taken from Digital Elevation Model, BIOCLIM, WORLDCLIM, CLIMOND and Global-PET datasets.
Results. The model revealed the different sets of the key variables for each species analyzed, in spite of the close resemblance of their habitats. The list of the key variables for E. arguta comprised precipitation, solar radiation of cold season and relative post meridiem air humidity. Among the key variables of E. stummeri’s model, there were the sets of temperature and solar radiation, the orographic variables and the ante meridiem relative humidity. Such a diversification indicated to different zoogeographical affiliation of studied species and attributed different ecological preferences of each species. E. arguta had rather flatland prehistory, whereas E. stummeri demonstrated undoubtedly the mountain origin.
Conclusions. From the theoretical point of view, the prospects of GIS-based ecological modeling were demonstrated as a tool to determine the ecosystem and zoogeographical affiliations of living species. The importance of the extended set of variables implementation along with basic geomorphological parameters is confirmed as a major prerequisite of the ecological modeling of mountain species niches.
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