Spatio-temporal Differentiation of Coupling Coordination between Ecological Footprint and Ecosystem Service Functions in the Aksu Region, Xinjiang, China

Xu, Hong‐Xi; Yang, Jianjun; Xia, Guozhu; Lin, Tong

doi:10.3390/su14063483

Cited by 9 publications

(3 citation statements)

References 68 publications

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“…The coupling degree mainly reflects the transition process between system disorder and its orderly state, reflecting the interaction of variables within the system [21][22]. The degree of coordination mainly measures the degree of equilibrium state between systems in the process of development.…”

Section: Comprehensive Evaluation Index Of Cultural Education In Scen...mentioning

confidence: 99%

Coupled coordinated time-series evolution of cultural and educational attributes in tourist attractions based on transfer matrix modeling

2023

Applied Mathematics and Nonlinear Sciences

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In this paper, the transfer matrix model was first applied, and the eigenvalues of the matrix were calculated to clarify the cultural nature of tourist attractions. The concatenated form is introduced into the transfer matrix, successfully calculating the matrix’s matching function. The coupled coordinated time-series evolution was then used to derive the comprehensive evaluation index of tourist attractions and cultural and educational properties, and the weights of the indexes’ correlation and difference were analyzed to derive the index entropy value. Finally, the original data are processed by the dimensionless standard, the degree of coupling coordination is evaluated with the help of the coupling concept, and the relative level of coupling is dealt with after the matrix transfer. The analysis found that the highest coupling degree of cultural and educational attributes of tourist attractions in 10 years is 0.7. Therefore, the integration and development of cultural and educational attributes of tourist attractions is the inherent requirement and inevitable result of cultural construction and tourism development and must adhere to the principle of coordinated development of promoting tourism with culture and manifesting culture with tourism.

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Section: Comprehensive Evaluation Index Of Cultural Education In Scen...mentioning

confidence: 99%

Coupled coordinated time-series evolution of cultural and educational attributes in tourist attractions based on transfer matrix modeling

2023

Applied Mathematics and Nonlinear Sciences

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“…In addition, the study chose to ignore the desert area in the southeast direction. Aksu City is located at the northwestern edge of the Tarim Basin, which falls within a warm-temperate arid climate zone characterized by limited rainfall, high evaporation, and a dry climate [28]. The area's flat terrain, fertile land, ample water supply, abundant sunlight, and extended frost-free period create favorable conditions for cultivating various crops.…”

Section: Study Areamentioning

confidence: 99%

Optimized Extraction Method of Fruit Planting Distribution Based on Spectral and Radar Data Fusion of Key Time Phase

Zhao,

Wang,

Zheng

et al. 2023

Remote Sensing

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With China’s fruit tree industry becoming the largest in the world, accurately understanding the spatial distribution of fruit tree growing areas is crucial for promoting socio-economic development and rural revitalization. Remote sensing offers unprecedented opportunities for fruit tree monitoring. However, previous research has mainly focused on UAV and near-ground remote sensing, with limited accuracy in obtaining fruit tree distribution information through satellite remote sensing. In this study, we utilized the Google Earth Engine (GEE) remote sensing cloud platform and integrated data from Sentinel-1, Sentinel-2, and SRTM sources. We constructed a feature space by extracting original band features, vegetation index features, polarization features, terrain features, and texture features. The sequential forward selection (SFS) algorithm was employed for feature optimization, and a combined machine learning and object-oriented classification model was used to accurately extract fruit tree crop distributions by comparing key temporal phases of fruit trees. The results revealed that the backscatter coefficient features from Sentinel-1 had the highest contribution to the classification, followed by the original band features and vegetation index features from Sentinel-2, while the terrain features had a relatively smaller contribution. The highest classification accuracy for jujube plantation areas was observed in November (99.1% for user accuracy and 96.6% for producer accuracy), whereas the lowest accuracy was found for pear tree plantation areas in the same month (93.4% for user accuracy and 89.0% for producer accuracy). Among the four different classification methods, the combined random forest and object-oriented (RF + OO) model exhibited the highest accuracy (OA = 0.94, Kappa = 0.92), while the support vector machine (SVM) classification method had the lowest accuracy (OA = 0.52, Kappa = 0.31). The total fruit tree plantation area in Aksu City in 2022 was estimated to be 64,000 hectares, with walnut, jujube, pear, and apple trees accounting for 42.5%, 20.6%, 19.3%, and 17.5% of the total fruit tree area, respectively (27,200 hectares, 13,200 hectares, 12,400 hectares, and 11,200 hectares, respectively). The SFS feature optimization and RF + OO-combined classification model algorithm selected in this study effectively mapped the fruit tree planting areas, enabling the estimation of fruit tree planting areas based on remote sensing satellite image data. This approach facilitates accurate fruit tree industry and real-time crop monitoring and provides valuable support for fruit tree planting management by the relevant departments.

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“…This has resulted in several major ecological problems, such as the degradation of natural grasslands, the decrease in glacier area, the unsustainable use of water resources, and the intensification of desertification [22][23][24][25][26], causing the already fragile ecological environment of the Kunlun Mountains to become even more fragile [27,28]. At present, other scholars' studies on the value of ecosystem services in southern Xinjiang have focused on the Tarim River Basin [29], the Aksu River [30], the Kaidu River [31], etc., and there are fewer longterm time-series studies on the value of ecosystem services on the northern slopes of the Kunlun Mountains, and this study fills in the blank period of ecological monitoring of the northern slopes of the Kunlun Mountains, and provides scientific basis for the construction of the northern slopes of the Kunlun Mountains ecological environment.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Prediction of Spatial and Temporal Evolution of Ecosystem Service Value on the Northern Slopes of the Kunlun Mountains Based on Land Use

Zhang,

Wang,

Tang

et al. 2023

Land

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The ecological environment in the mountainous areas of southern Xinjiang is very sensitive and fragile, and identifying the ecological asset retention within the mountainous areas is a top priority at the current stage in the context of comprehensive environmental management in arid zones. This study examines the conversion and ecosystem service values between different land types within the mountainous areas based on a time series of land-use data from 1990 to 2020, and the results show that: (1) The value of ecosystem services on the northern slopes of the Kunlun Mountains shows an overall increasing trend. It increased from CNY 308.645 billion in 1990 to CNY 326.550 billion in 2020. Among them, the value of ecosystem services increased significantly between 2000 and 2010, with an increase of CNY 39.857 billion. Regulatory services accounted for more than 66% of the value of each ecosystem service. (2) Land use on the northern slopes of the Kunlun Mountains has changed significantly since 1990. The areas of cropland, forest land, grassland, watershed, and construction land have all shown an upward trend, with the greatest increase in construction land. The area of unutilized land, on the other hand, has slightly decreased. (3) The value of ecosystem services within the northern slopes of the Kunlun Mountains was spatially high in the south, low in the north, and higher in the west than in the east. The study also found a significant positive spatial correlation between ecosystem service values. In the spatial distribution, the increasing areas were mainly distributed in the southeast, and the decreasing areas were in the north. Changes in land types are expected to include an increase in the area of grassland and woodland, a decrease in unutilized land and cropland, and an overall improvement in the ecological environment of the northern slopes of the Kunlun Mountains in the next decade. This study also provides lessons and references for sustainable development and ecological protection in ecologically fragile regions.

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Spatio-temporal Differentiation of Coupling Coordination between Ecological Footprint and Ecosystem Service Functions in the Aksu Region, Xinjiang, China

Cited by 9 publications

References 68 publications

Coupled coordinated time-series evolution of cultural and educational attributes in tourist attractions based on transfer matrix modeling

Coupled coordinated time-series evolution of cultural and educational attributes in tourist attractions based on transfer matrix modeling

Optimized Extraction Method of Fruit Planting Distribution Based on Spectral and Radar Data Fusion of Key Time Phase

Analysis and Prediction of Spatial and Temporal Evolution of Ecosystem Service Value on the Northern Slopes of the Kunlun Mountains Based on Land Use

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