Kust G.S., Durikov M.H., Lobkovskiy V.A., Andreeva O.V., Nepesov M.D., Mamedov B.K., Nikolaev N.V. SCIENTIFIC BASIS FOR SETTING LAND DEGRADATION NEUTRALITY TARGETS IN TURKMENISTAN // Arid Ecosystems. 2022. Vol. 28. № 4 (93). P. 115-131. | PDF
Setting National targets for achieving Land Degradation Neutrality (LDN) and establishing monitoring systems for indicators is an important strategic objective in combating desertification and preventing land degradation in Turkmenistan, arising from the implementation of the UN Sustainable Development Goal 15.3 2030. The paper demonstrates the possibility of integrating of the LDN global indicators in the National Land Cover Monitoring System, which is currently under development, and provided with statistical and geoinformation data for the entire territory of the country. The paper shows how approaches can be developed to integrate the system of LDN indicators into the National Land Surface Monitoring System of Turkmenistan, which is currently under development, with the provision of statistical and geoinformation data for the entire country. Despite important new data obtained using global approaches, a reliable LDN monitoring basing on national data is currently not fully feasible, due to the fact that the global indicators are not sufficiently supported by available national data and do not correspond to global proxy indicators of dynamics land cover, land productivity and soil organic carbon. It is recommended to use cartographic and stock data collected and processed in the late 1980s-90s of the 20th century as a «baseline» for monitoring land degradation, as well as assessment data of the statement of protected areas. Additional and alternative LDN indicators of particular importance for Turkmenistan are proposed: salinization of soil and land, soil deflation, climate aridity, dust storms.
Keywords: Land Degradation Neutrality, Turkmenistan, land degradation, indicators, monitoring.
Financing. The article was prepared within the framework of the project of the GIZ Regional Program «Integrated Land Use taking into account climate change in Central Asia» (ILUCA) – collection of material and preliminary conclusions; topics of the State Assignment of the Institute of Geography of the Russian Academy of Sciences No. FMWS-2022-0001 «Spatial and temporal problems of sustainable land use in the context of global climate change» (spatial data processing and formulation the main provisions and conclusions).
Bazha S.N., Andreev A.V., Bogdanov E.A., Danzhalova E.V., Drobyshev Yu.I., Petukhov I.A., Rupyshev Yu.A., Ubugunova V.I., Khadbaatar S., Tsyrempilov E.G. CAUSE AND EFFECT ANALYSIS OF THE ECOSYSTEM DEGRADATION OF THE BAIKAL BASIN BASED ON LONG-TERM MONITORING IN THE MODEL REFERENCE NETWORK // Arid ecosystems. 2021. V. 27. № 2 (87). P. 26-32 | PDF
The article outlines the main causes and consequences of the destabilization of ecosystems in the Lake Baikal basin, identified through long-term monitoring. The monitoring is based on a network of model polygons and key sites, established in zones of increased ecological tension, where large-scale mapping is carried out and a complex of landscape and soil-geobotanical studies is carried out. The degree of disturbance of the natural environment of the region is assessed, the main factors of degradation are identified and the nature of degradation processes is established.
Gorokhova I.N., Pankova Ye.I., Chursin I.N. THE METHODOLOGICAL APPROACHES TO IRRIGATED LANDS STATE ESTIMATION IN THE SOUTH OF EUROPEAN RUSSIA, BASED ON SPACE IMAGERY // Arid ecosystems. 2020. V. 26. № 1 (82). P. 84-93 . | PDF
Methodological approaches to irrigated lands monitoring in the south of the European Russia based on satellite imagery from the Landsat-8 satellite are presented. The basis of the methodological approaches was developed on the background of the research experience obtained in the Volgograd region. Visual and automated methods for the irrigated soils interpretation and their properties are shown. As a result of irrigated lands interpretation on the basis of materials from space imagery, the following tasks were solved:1) determination of the areas of irrigated lands; 2) determination of the area of long-term layland on irrigated arrays; 3) determination of the irrigated areas under different crops; 4) determination of the genesis of the low-contrasting soil combinations on irrigated fields, which are, in turn, determined by the state of cultivated crops and soil properties. The conducted work is the first step towards creating of irrigated lands monitoring based on remote sensing. In addition to the above mentioned tasks, the results of the investigation were: the choice of the optimal type and temporal scales of space imagery, the developed interpretation features for the condition of crops and the properties of irrigated soils, the technology of automated interpretation of satellite images for highlighting the spots of irrigated fields based on the «decision trees» algorithm.
Keywords: monitoring, irrigated lands, space imagery, interpretation features, automated classification.