Landscape-Ecological Assessment of Dry Lands of the Russian-Kazakhstan Border Zone for Sustainable Land Use

Krasnoyarova, B. A.; Orlova, Irina; Plutalova, T.G.; Шарабарина, С. Н.

doi:10.1134/s2079096119030065

Cited by 7 publications

(3 citation statements)

References 3 publications

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“…According to Pavlodar Oblast statistics, 74% of arable land is affected by wind erosion. In Altayskiy Kray, 95% of the barren arable land is in the dry steppe zone bordering Kazakhstan [94]. This is because higher soil pH leads to lower species richness in the arid grasslands of northern Kazakhstan and south-western Siberia [95].…”

Section: Analysis Of Driving Factors For Ecological Qualitymentioning

confidence: 99%

Spatiotemporal Pattern, Evolutionary Trend, and Driving Forces Analysis of Ecological Quality in the Irtysh River Basin (2000–2020)

Li,

Samat,

Abuduwaili

et al. 2024

Land

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Considering climate change and increasing human impact, ecological quality and its assessment have also received increasing attention. Taking the Irtysh River Basin as an example, we utilize multi-period MODIS composite imagery to obtain five factors (greenness, humidity, heat, dryness, and salinity) to construct the model for the amended RSEI (ARSEI) based on the Google Earth Engine platform. We used the Otsu algorithm to generate dynamic thresholds to improve the accuracy of ARSEI results, performed spatiotemporal pattern and evolutionary trend analysis on the results, and explored the influencing factors of ecological quality. Results indicate that: (1) The ARSEI demonstrates a correlation exceeding 0.88 with each indicator, offering an efficient approach to characterizing ecological quality. The ecological quality of the Irtysh River Basin exhibits significant spatial heterogeneity, demonstrating a gradual enhancement from south to north. (2) To evaluate the ecological quality of the Irtysh River Basin, the ARSEI was utilized, exposing a stable condition with slight fluctuations. In the current research context, the ecological quality of the Irtysh River Basin watershed area is projected to continuously enhance in the future. This is due to the constant ecological protection and management initiatives carried out by countries within the basin. (3) Precipitation, soil pH, elevation, and human population are the main factors influencing ecological quality. Due to the spatial heterogeneity, the driving factors for different ecological quality classes vary. Overall, the ARSEI is an effective method for ecological quality assessment, and the research findings can provide references for watershed ecological environment protection, management, and sustainable development.

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Section: Analysis Of Driving Factors For Ecological Qualitymentioning

confidence: 99%

Spatiotemporal Pattern, Evolutionary Trend, and Driving Forces Analysis of Ecological Quality in the Irtysh River Basin (2000–2020)

Li,

Samat,

Abuduwaili

et al. 2024

Land

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“…The Dispersion Index (IJI) can effectively show the types of patches and the overall dispersal and arrangement status. Once the IJI value is relatively small, it reflects that one type of plaque is only adjacent to a relatively small number of other types; 100 IJI = reflects that the corresponding neighboring probabilities of the plaques are almost the same (Krasnoyarova et al, 2019).…”

Section: Branchmentioning

confidence: 99%

Construction of Urban Wetland Ecological Landscape Planning Model Based on Mspa Analysis Method

Sun

Tang

et al. 2022

Journal of Environmental Engineering and Landscape Management

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The traditional method does not accurately select the ecological landscape pattern index of urban wetland, which leads to the problems of low accuracy and long planning time, in order to solve this problem, an urban wetland ecological landscape planning model based on MSPA analysis method is constructed. By analyzing the basic components of urban wetland ecological landscape, such as patch density, aggregation index, dispersion index, average fractal dimension, landscape segmentation, shape index, spread index and Shannon diversity index, MSPA analysis method is used to extract the core area, patch area and ring of urban wetland. According to the extraction results, the minimum function of cloud fusion transformation of three-dimensional wetland ecological landscape is calculated, and the function is used to calculate the three-dimensional translation transformation amount and rotation matrix of three-dimensional wetland ecological landscape model. The data in the three-dimensional model are used for wetland ecological landscape planning, so as to complete the construction of wetland ecological landscape planning model. The simulation results show that the urban wetland ecological landscape planning accuracy of the model is high and the planning time is short.

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“…With the rapid growth of the population and continuous urbanization, problems such as resource shortage have intensified [ 3 ]. Most of the current studies on the territorial spatial structure are distributed in the spatial and temporal evolution characteristics of land use and land cover change (LULCC) and exploration of its driving factors [ 4 , 5 , 6 ], as well as on the dynamic changes of land use and its optimization [ 7 ] and the impact of land use changes on ecosystem services at different scales [ 8 , 9 , 10 , 11 ]. Territorial spatial structure is a comprehensive concept with rich connotations, generally referring to the reorganization of land use types used to meet the functional needs of ecological construction, agricultural construction and urban development, which covers ecological space, agricultural space and urban space [ 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

Study on the Evolution and Optimization of the Spatial Structure of the Oasis in the Arid Area: A Case Study of the Aksu River Basin in China

Jiang

Zhang

et al. 2023

IJERPH

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To achieve high-quality sustainable development in arid areas based on the concept of ecological civilization, it is necessary to deeply study the territorial spatial structure characteristics. Taking the Aksu River Basin, an important ecological security barrier in northwest China, as an example, this paper follows the research idea of “feature analysis-suitability evaluation-conflict identification analysis-optimization” and constructs a comprehensive model based on the AHP-entropy weight comprehensive evaluation method, ArcGIS spatial identification analysis, variance coefficient-TOPSIS method, and NRCA. A comprehensive model based on the AHP-entropy power integrated evaluation method, ArcGIS spatial identification analysis, variance coefficient-TOPSIS method, and NRCA was constructed to guide the optimization of the territorial spatial layout by exploring the characteristics of territorial spatial pattern, the suitability of territorial spatial development, the identification of territorial spatial conflicts, and the efficiency and functional advantage of territorial spatial utilization in the study area. The results show that: (1) The spatial type of territorial space in the Aksu River Basin from 2000 to 2020 is dominated by ecological space, agricultural space, and urban space, and the three spatial boundaries are irregularly interlaced. (2) The spatial utilization conflict pattern of the Aksu River Basin has formed, and the general conflict area is overgrowing. (3) The overall efficiency of territorial utilization in the Aksu River Basin is low, with significant differences among county administrative units. (4) After optimization, the three types of space in the watershed are adjusted and refined into six functional areas: basic farmland protection area, rural development area, ecological protection red line area, ecological control area, urban development area, and industrial supporting construction area.

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Landscape-Ecological Assessment of Dry Lands of the Russian-Kazakhstan Border Zone for Sustainable Land Use

Cited by 7 publications

References 3 publications

Spatiotemporal Pattern, Evolutionary Trend, and Driving Forces Analysis of Ecological Quality in the Irtysh River Basin (2000–2020)

Spatiotemporal Pattern, Evolutionary Trend, and Driving Forces Analysis of Ecological Quality in the Irtysh River Basin (2000–2020)

Construction of Urban Wetland Ecological Landscape Planning Model Based on Mspa Analysis Method

Study on the Evolution and Optimization of the Spatial Structure of the Oasis in the Arid Area: A Case Study of the Aksu River Basin in China

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