GIS and Remote Sensing articles

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The assessment of heavily overgrazed mountain pastures with use of satellite and ground data

Authors: Dmitry Malakhov – 1, Evgenya Senyak – 2
1 – Institute of Zoology MS RK, Almaty, Republic of Kazakhstan
2 – Association for the Conservation of Biodiversity of Kazakhstan, Almaty, Kazakhstan

Aims: To evaluate the condition of natural pastures within the protected area of Upper Koksu Wildlife Sanctuary (UKWS) and to provide recommendations on sustainable management of natural resources of the area.

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Predicting suitable breeding areas for different locust species – A multi-scale approach accounting for environmental conditions and current land cover situation


In this study, we present a fused multi-scale approach to model habitat suitability index (HSI) maps for three different locust species. The presented methodology was applied for the Italian locust (Calliptamus italicus, CIT) in Pavlodar oblast, Northern Kazakhstan, for the Moroccan locust (Dociostaurus maroccanus, DMA) in Turkistan oblast, South Kazakhstan and for the desert locust (Schistocerca gregaria) in Awash river basin, Ethiopia, Djibouti, Somalia.

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An Ecological Niche Model for Dociostaurus maroсcanus, Thunberg, 1815 (Orthoptera, Acrididae): The Nesting Environment and Survival of Egg-Pods

Authors: Dmitry Victorovich Malakhova – 1, Boris Vasilievich Zlatanov – 2

1 – Joint Stock Company “National Center for Space Research and Technology”, Almaty, 050010, Kazakhstan.
2 – Institute of Zoology, Ministry of Education and Sciences, Almaty, 050060, Kazakhstan.


Since the earliest times, the problem of the locust has been a very serious one for agriculture and food production in particular. Devastating locust plagues are known from the Old and the New World where locust swarms terrified the earliest settlement and towns, leaving not a single green branch on the fields.

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GIS analysis of the distribution and habitation conditions of Emys orbicularis orbicularis (Testudines, emydidae): methodical aspects

Authors: T. N. Duysebaeva, I. V. Doronin, D. V. Malakhov, O. V. Kukushkin, A. G. Bakiev


Background. In spite of widespread use of a GIS modeling in the zoological studies, a question of whether a model matches an actual or potential range of an animal remains relevant. A goal of our work was the GIS-modeling of the range and habitat suitability of the European Marsh Turtle, Emys orbicularis (Linnaeus, 1758) using different software, different sets of environment variables and different amount of the ground data.

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Comparative analysis of the distribution and habitats of two Eremias species (Reptilia, Lacertidae) using niche-based GIS modeling

Authors: Tatjana N. Dujsebayeva, Dmitry V. Malakhov, Nikolay N. Berezovikov, Xianguang Guo, Jinlong Liu, and Alexander V. Cherednichenko

The distribution and habitat characteristics of two Eremias species (E. arguta and E. stummeri) from contiguous areas of southeastern Kazakhstan, northeastern Kyrgyzstan, and western Xinjiang, China, were analyzed using GIS modeling. We show that both species are dry-steppe-adapted xerophilous lizards with sclerophilic and partially petrophilic specialization. In spite of the visible similarity of the ecological niches (ENs) occupied by E. arguta and E. stummeri, the latter differs in a number of key variables. While most of the precipitation variables, the radiation of the winter and off-season months, and afternoon (PM) humidity are most important for E. arguta habitats, the habitats suitable for E. stummeri are limited by temperature variables, radiation during most of the year, and morning (AM) humidity.

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Species distribution model of Varanus griseus caspius (Eichwald, 1831) in central Asia: an insight to the species’ biology

Authors: Dmitry V. Malakhov and Marina A. Chirikova

Abstract: A species distribution model has been developed for one of the most well-studied varanid lizards — Varanus griseus caspius. The model was developed based on several hundred documented localities of the lizard and a number of abiotic variables using statistical and GIS-based approaches. The results of evaluation using the model demonstrated the appropriate spatial accuracy of the model.

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Ecological modeling of Locusta migratoria L. breeding conditions in South-Eastern Kazakhstan

Authors: D. V. Malakhov, N. Yu. Tsychuyeva and V. E. Kambulin

Abstract. Background. The method of ecological niche modeling (ENM) was applied to reconstruct the nesting conditions of one of the most widely-known pest species, Locusta migratoria asiatica, with a focus of nesting in Balkhash-Alakol basin. The ENM uses a set of input environmental variables to analyze and select the key factors from the entire input set. The key factors are the climatic variables which define the wellbeing of an organism; and the range of these variables may be calculated with statistical and GIS approaches.

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The Model of Ranodon sibiricus Ecological Niche: GIS and Remote Sensing Approach

Authors: Tatjana N. Dujsebayeva and Dmitry V. Malakhov

Abstract: We developed the ecological niche model (ENM) of Ranodon sibiricus in the Dzungarian Alatau Mountains using GIS (Geographic Information System) modeling, and interpretation of orographic and climatic variables. We analyzed the impact of each variable and evaluated the results to discern the most important (key) variables describing the ecological niche. Six orographic and 26 climatic variables were selected as key variables. The analysis of relief and climate contribution to ENM formation reveals a close interrelation between the two factors. The origin of every watercourse, its hydrological parameters, and microhabitat diversity are determined by local microrelief and microclimate. The mean temperature of the warmest quarter, precipitation during the wettest quarter, annual precipitation, and precipitation in the winter months indirectly confirmed the important role of glaciers in maintaining the water balance in streams inhabited by the amphibian. The data acquired allow the new interpretation of the previously proposed idea of introducing the salamander into some regions of Dzungarian Alatau and Northern Tien Shan.

Keywords: Ranodon sibiricus; ecological niche modeling; orography; climate; hydrography; key variables; conservation.

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