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Keywords = Lan–Xi urban agglomeration

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21 pages, 6768 KiB  
Article
Spatiotemporal Evolution and Driving Factors of NPP in the LanXi Urban Agglomeration from 2000 to 2023
by Tao Long, Yonghong Wang, Yunchao Jiang, Yun Zhang and Bo Wang
Sustainability 2025, 17(13), 5804; https://doi.org/10.3390/su17135804 - 24 Jun 2025
Viewed by 284
Abstract
This study quantitatively evaluates the effects of human activities (HAs) and climate change (CC) on the terrestrial ecosystem carbon cycle, providing a scientific basis for ecosystem management and the formulation of sustainable development policies in urban agglomerations located in arid and ecotone regions. [...] Read more.
This study quantitatively evaluates the effects of human activities (HAs) and climate change (CC) on the terrestrial ecosystem carbon cycle, providing a scientific basis for ecosystem management and the formulation of sustainable development policies in urban agglomerations located in arid and ecotone regions. Using the LanXi urban agglomeration in China as a case study, we simulated the spatiotemporal variation of vegetation net primary productivity (NPP) from 2000 to 2023 based on MODIS remote sensing data and the CASA model. Trend analysis and the Hurst index were employed to identify the dynamic trends and persistence of NPP. Furthermore, the Geographical Detector model with optimized parameters, along with nonlinear residual analysis, was employed to investigate the driving mechanisms and relative contributions of HAs and CC to NPP variation. The results indicate that NPP in the LanXi urban agglomeration exhibited a fluctuating upward trend, with an average annual increase of 4.26 gC/m2 per year. Spatially, this trend followed a pattern of “higher in the center, lower in the east and west,” with more than 95% of the region showing an increase in NPP. Precipitation, mean annual temperature, evapotranspiration, and land use types were identified as the primary driving factors of NPP change. The interaction among these factors demonstrated a stronger explanatory power through factor coupling. Compared with linear residual analysis, the nonlinear model showed clear advantages, indicating that vegetation NPP in the LanXi urban agglomeration was jointly influenced by HAs and CC. These findings can further act as a basis for resource and environmental research in similar ecotone regions globally, such as Central Asia, the Mediterranean Basin, the southwestern United States, and North Africa. Full article
(This article belongs to the Section Sustainable Urban and Rural Development)
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20 pages, 3575 KiB  
Article
Temporal–Spatial Variations and Convergence Analysis of Land Use Eco-Efficiency in the Urban Agglomerations of the Yellow River Basin in China
by Fanchao Kong, Kaixiao Zhang, Hengshu Fu, Lina Cui, Yang Li and Tengteng Wang
Sustainability 2023, 15(16), 12182; https://doi.org/10.3390/su151612182 - 9 Aug 2023
Cited by 2 | Viewed by 1461
Abstract
Achieving synergistic development of efficient urban land use and the natural environment is crucial in promoting green urbanization. The assessment of land use eco-efficiency (LUEE) and its temporal–spatial changes provides an effective means of quantifying the relationship between the urban ecological environment and [...] Read more.
Achieving synergistic development of efficient urban land use and the natural environment is crucial in promoting green urbanization. The assessment of land use eco-efficiency (LUEE) and its temporal–spatial changes provides an effective means of quantifying the relationship between the urban ecological environment and land use. Targeting 55 selected cities in the Yellow River Basin (YRB), in this study, we utilize the Super-EBM method to gauge the LUEE. We explore the temporal patterns and the spatial convergence of LUEE utilizing kernel density estimation and spatial econometric methods. Considering the resource and environmental costs of land use, we assumed the industrial pollutant emissions generated during urban land use as the undesired outputs and designed a framework for measuring the level of LUEE under double constraints, which theoretically revealed the formation process and spatial convergence mechanism of LUEE. The results show the following: (1) Throughout the sample period, the LUEE of the YRB urban agglomeration decreased from 0.158 in 2009 to 0.094 in 2020, indicating a decreasing spatial disparity in LUEE over time. Notably, the Lanxi urban cluster exhibited the largest gap in LUEE, whereas the Guanzhong Plain urban agglomeration displayed the smallest gap. The hyper-variable density exceeded the inter-group gap as the main factor leading to the difference in LUEE. (2) Although the LUEE of urban agglomerations has increased, there still exists a noticeable polarization phenomenon. (3) The LUEE of YRB demonstrates a pattern of conditional convergence and exerts a significant spatial spillover effect. Over time, the LUEE of YRB will tend towards an individual steady state. The findings have implications for strengthening linkage and synergy among cities in YRB, promoting factor integration across administrative regions, and formulating heterogeneous policies. Full article
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19 pages, 6088 KiB  
Article
Research on Ecosystem Security and Restoration Pattern of Urban Agglomeration in the Yellow River Basin
by Huiyuan Guan, Yongping Bai and Chunyue Zhang
Sustainability 2022, 14(18), 11599; https://doi.org/10.3390/su141811599 - 15 Sep 2022
Cited by 10 | Viewed by 2117
Abstract
Reasonable identification of the ecosystem security space and pattern restoration for the Yellow River Basin will be significant for facilitating future ecological protection and restoration projects. This study employs ecosystem services and landscape connectivity to discern ecological source areas and conducts an optimization [...] Read more.
Reasonable identification of the ecosystem security space and pattern restoration for the Yellow River Basin will be significant for facilitating future ecological protection and restoration projects. This study employs ecosystem services and landscape connectivity to discern ecological source areas and conducts an optimization evaluation method of resistance surfaces and the minimum cumulative resistance (MCR) model to identify the ecosystem security pattern of urban agglomeration. Then, restoration measures are proposed. The results indicate that: (1) There are 46 ecological source areas in the ecosystem security patterns of the Lanxi urban agglomeration, with a total area of 8199.249 km2. Moreover, in terms of spatial distribution, ecological source areas are sparse in the east while crowded in the west of the Lanxi urban agglomeration and are mainly composed of natural reserves, forest parks, and farmlands. (2) The ecosystem security patterns contain 914 ecological corridors with a total length of 62,970.181 km, most of which are short-distance corridors, being dense in the part of the northwest with a webbed feature. (3) The study adds 10 ecological source areas to restore the ecosystem security pattern and ecological corridors to improve the rationality of the ecosystem security pattern. Meanwhile, this study proposes restoration measures to protect the ecological environment by defining the levels of ecological security in order to provide a reference for the government to formulate policies and regulations. Full article
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19 pages, 33116 KiB  
Article
Spatial Pattern of Highway Transport Dominance in Qinghai–Tibet Plateau at the County Scale
by Zhiheng Wang, Hongkui Fan, Daikun Wang, Tao Xing, Dongchuan Wang, Qiaozhen Guo and Lina Xiu
ISPRS Int. J. Geo-Inf. 2021, 10(5), 304; https://doi.org/10.3390/ijgi10050304 - 5 May 2021
Cited by 13 | Viewed by 3666
Abstract
The highway is an important mode of transportation in the Qinghai–Tibet Plateau, and can be regarded as a major contributor to the high-quality and sustainable development of the Qinghai–Tibet Plateau. It is of great significance to explore its spatial distribution and characteristics for [...] Read more.
The highway is an important mode of transportation in the Qinghai–Tibet Plateau, and can be regarded as a major contributor to the high-quality and sustainable development of the Qinghai–Tibet Plateau. It is of great significance to explore its spatial distribution and characteristics for understanding the regional and geographical process. Although Qinghai–Tibet Plateau’s highway transportation infrastructure has been experiencing rapid development in recent years, there lacks a systematic examination of the whole Qinghai–Tibet Plateau from the perspective of supportive capacity for its socio-economic activities. This paper applies geospatial analysis methods, such as network analysis, spatial statistics, and weighted overlay, to model the highway transport dominance in the Qinghai–Tibet Plateau in 2015 at the county scale and reveals the basic characteristics of the highway transport dominance’s spatial pattern. The results are mainly of four aspects: 1) there is a significant difference between the east and west of the highway in the Qinghai–Tibet Plateau, showing an irregular circle structure of gradual attenuation from the east to west; 2) at the county scale, the highway transport dominance in the Qinghai–Tibet Plateau shows strong spatial autocorrelation and a certain extent of spatial heterogeneity, presenting a spatial distribution pattern of High–High and Low–Low clustering; 3) the urban locations of Lhasa, Xining and other center cities have obvious spatial constraints on the distribution of highway transport dominance and generally have a logarithmic decline trend; and 4) there are obvious differences in distribution among the three Urban Agglomerations in the Qinghai–Tibet Plateau. Due to the influence of traffic location, topography, construction of national trunk lines, and level of socio-economic development., the traffic conditions of Lan-Xi Urban Agglomeration and Lhasa Urban Agglomeration are better than Kashgar Urban Agglomeration. This study can be used to guide the optimization of the highway network structure and provide a macro decision-making reference for the planning and evaluation of major highway projects in the Qinghai–Tibet Plateau. Full article
(This article belongs to the Special Issue GIS in Sustainable Transportation)
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14 pages, 3716 KiB  
Article
Spatial–Temporal Interaction Relationship between Ecosystem Services and Urbanization of Urban Agglomerations in the Transitional Zone of Three Natural Regions
by Xiang Pan, Peiji Shi and Na Wu
Sustainability 2020, 12(23), 10211; https://doi.org/10.3390/su122310211 - 7 Dec 2020
Cited by 7 | Viewed by 2550
Abstract
Clarifying the spatial interaction relationship between urbanization and multiple ecosystem services (ESs) is a prerequisite for reducing the impact of urbanization on the ecological environment and coordinating urbanization and ecological environmental protection. Urbanization is especially significant for ecologically fragile areas, where ecosystems are [...] Read more.
Clarifying the spatial interaction relationship between urbanization and multiple ecosystem services (ESs) is a prerequisite for reducing the impact of urbanization on the ecological environment and coordinating urbanization and ecological environmental protection. Urbanization is especially significant for ecologically fragile areas, where ecosystems are particularly sensitive to changes in urban patterns. This study considered the Lan–Xi (LX) urban agglomeration in three natural transitional regions using socio-economic, ecological environment, and other data, through a variety of methods, to supersede administrative boundaries and to explore the relationship between urbanization and ESs on a grid scale. The results revealed a significant negative spatial correlation between the levels of urbanization and comprehensive ESs, indicating that rapid urbanization has led to a decline in regional ESs. However, with the rapid urbanization trend from 2010 to 2018, the ESs in the LX region showed an upward trend because the implementation of ecological protection and restoration projects greatly offset the decline in ESs caused by urban expansion. We found a positive correlation between nutrient purification and the levels of urbanization among various ESs and four principal types of spatial–temporal interactions between ESs and urbanization levels. Among them, the high–high cluster areas occupied the smallest proportion, and the low–low cluster areas occupied the largest proportion. Full article
(This article belongs to the Special Issue Urban Sustainability Futures)
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