1
|
Li Y, Zhang S, Zhao J, Zhang G, Qu G, Ma S, Liu X. Spatiotemporal evolution and Sustainably comprehensive zoning optimization of production-living-ecological functions in the Mountain-Flatland areas. Heliyon 2024; 10:e23425. [PMID: 38226264 PMCID: PMC10788456 DOI: 10.1016/j.heliyon.2023.e23425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 12/03/2023] [Accepted: 12/04/2023] [Indexed: 01/17/2024] Open
Abstract
Examining the spatiotemporal changes of territorial space is crucial for addressing the conflict between economic-social development and the natural environment and achieving optimal territorial space utilization. However, there is a research gap regarding the spatial characteristics and optimization in the mountain-flatland area. To address this gap, this paper focuses on the urban agglomeration in Central Yunnan (UACY) as a representative mountain-flatland area. A mountain-flatland classification model was established. Based on the evaluation of production- living- ecological functions, the economic models were introduced to measure the balance degree, and further researched the spatiotemporal evolution and coupling coordination characteristics by spatial analysis from 2010 to 2020. The findings indicate the following: (1) The study area exhibited distinct mountain-flatland differentiation, with "western mountainous counties (MCs)/semi-mountainous and semi-flatland counties (SMSFCs), central flatland counties (FCs), and eastern SMSFCs". production function (PF) primarily formed a cluster in the central-northeastern areas of FCs and of SMSFCs, living function (LF) was highly clustered in the central areas of FCs, remained stable, and ecological function (EF) was significantly clustered in the northwestern regions of MCs and of SMSFCs, significantly enhanced in the northeast. (2) The imbalance degree followed the order LF > PF > EF, showing a decreasing trend primarily driven by intra-group imbalances within FCs, SMSFCs, and MCs. The coordinate areas were mainly concentrated in central FCs, and the dysfunctional areas was largely located in MCs and SMSFCs, the degree was improved, especially in northwestern and southeastern MCs and SMSFCs. (3) The study area fell into 18 functional areas, optimized into 13 areas, with recommendations for differentiated development control paths to achieve an optimization of PLEFs. These results provide theoretical references for promoting sustainable utilization of territorial resources and facilitating high-quality regional development in UACY and other parts of the country.
Collapse
Affiliation(s)
- Yongping Li
- Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China
- Yunnan Institute of Land Resources Planning and Design, Kunming 650216, China
| | - Shuqing Zhang
- Yunnan Institute of Land Resources Planning and Design, Kunming 650216, China
- Industry-University-Research Integration Innovation base of Natural Resources Smart Management, Kunming 650216, China
| | - Junsan Zhao
- Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China
| | - Guangri Zhang
- Yunnan Institute of Land Resources Planning and Design, Kunming 650216, China
- Industry-University-Research Integration Innovation base of Natural Resources Smart Management, Kunming 650216, China
| | - Guoxun Qu
- Yunnan Institute of Land Resources Planning and Design, Kunming 650216, China
- Industry-University-Research Integration Innovation base of Natural Resources Smart Management, Kunming 650216, China
| | - Shilin Ma
- Yunnan Institute of Land Resources Planning and Design, Kunming 650216, China
- Industry-University-Research Integration Innovation base of Natural Resources Smart Management, Kunming 650216, China
| | - Xiaobo Liu
- Yunnan Institute of Land Resources Planning and Design, Kunming 650216, China
| |
Collapse
|
2
|
Xu H, Zhang F, Li W, Shi J, Johnson BA, Tan ML. Spatial-temporal pattern of change in production-living-ecological space of Nanchong City from 2000 to 2020 and underlying factors. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 196:94. [PMID: 38150164 DOI: 10.1007/s10661-023-12249-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 12/14/2023] [Indexed: 12/28/2023]
Abstract
This study analyzed the spatial-temporal change pattern and underlying factors in production-living-ecological space (PLES) of Nanchong City, China, over the past 20 years using historical land use data (2000, 2010, 2020). A land use transfer matrix was calculated from the historical land use maps, and spatial analysis was conducted to analyze changes in the land use dynamics degree, standard deviation ellipse, and center of gravity. The results showed that there was a rapid spatial evolution of the PLES in Nanchong from 2000 to 2010, followed by a stabilization in the second decade. The transfer of ecological-production space occurred mainly in the Jialing and Yilong River basins, while the reduction of production space and the increase of living space were most prominent in the intersection of three districts (Shunqing, Jialing, and Gaoping districts). The return of production-ecological space was observed in the south and northeast of Yingshan, and there was little notable transfer of other types. The distribution of production space in Nanchong evolved in a north-south to east-west trend, with the center of gravity moving from Yilong to Peng'an County. The living space and production space expanded in a north-south direction, and the center of gravity position was in Nanbu, indicating a more balanced growth or decrease in the last 20 years. The changes in the spatial-temporal pattern of PLES in Nanchong were attributed to the intertwined factors of national policies, economic development, population growth, and the natural environment. This study introduced a novel approach towards rational planning of land resources in Nanchong, which may facilitate more sustainable urban planning and development.
Collapse
Affiliation(s)
- Haowei Xu
- College of Geography and Environment Sciences, Zhejiang Normal University, Jinhua, 32004, China
| | - Fei Zhang
- College of Geography and Environment Sciences, Zhejiang Normal University, Jinhua, 32004, China.
| | - Weipeng Li
- School of Geographical Sciences, China West Normal University, Nanchong, 637009, China
| | - Jingchao Shi
- Department of Earth Sciences, The University of Memphis, Memphis, TN, 38152, USA
| | - Brian Alan Johnson
- Natural Resources and Ecosystem Services Area, Institute for Global Environmental Strategies, Hayama, Kanagawa, 2400115, Japan
| | - Mou Leong Tan
- GeoInformatic Unit, Geography Section, School of Humanities, Universiti Sains Malaysia, Penang, 11800, Malaysia
| |
Collapse
|
3
|
Yin R, Li X, Fang B. The Relationship between the Spatial and Temporal Evolution of Land Use Function and the Level of Economic and Social Development in the Yangtze River Delta. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2461. [PMID: 36767830 PMCID: PMC9916072 DOI: 10.3390/ijerph20032461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/04/2023] [Accepted: 01/19/2023] [Indexed: 06/18/2023]
Abstract
To explore the spatiotemporal evolution characteristics of land use function and its correlation with social and economic development levels, taking the Yangtze River Delta region as an example, we quantified the multifunctional land use in the Yangtze River Delta region from 2000 to 2020 on a 5 km × 5 km grid and analyzed its spatiotemporal evolution characteristics. Each city's comprehensive measure of economic development used the projection tracing method. Person's method of interpretation was used for correlation between the spatial and temporal evolution of land use functions and the level of economic development and its coupling association. The study shows that: (1) from 2000 to 2020, the agricultural production function > ecological function > living function > non-agricultural production function in the Yangtze River Delta, but the non-agricultural production and living functions were gradually increasing, while the agricultural production and ecological functions were decreasing. In terms of spatial distribution, the agricultural production function decreases significantly around the built-up area due to the expansion of the built-up area. The non-agricultural production function strengthened around the central city in a network pattern and had a path-locking effect. Topography limits life functions, with high north and low south partially overlapping with non-agricultural production functions. Furthermore, the ecological function was high in the south and low in the north and continues to weaken due to the interference of human activities. (2) The spatiotemporal heterogeneity of different functions generated trade-offs/synergies. The trade-off relationship was prominent in agricultural production and non-farm production function and living function, and non-farm production and living function and ecological function during the study period. Conversely, agricultural production and ecological functions and non-farm production and subsistence functions were generally synergistic. Spatially, there was substantial spatial heterogeneity in the trade-off/synergy relationship between the two functions. (3) There was a clear correlation and spatial coupling between land use function indices and economic development levels in the whole region and sample zones. Still, the dynamic and regional nature of the evolution of land use functions results in sudden changes and jumps in different functions in space. Therefore, in the future integration of the Yangtze River Delta, it is necessary to pay comprehensive attention to the morphology of different land use functions and their synergy/trade-off relationship and to adjust the spatial governance strategy promptly according to the local conditions and the situation.
Collapse
Affiliation(s)
- Rumeng Yin
- School of Geographical Sciences, Nanjing Normal University, Nanjing 210023, China
| | - Xin Li
- Agricultural College, Yangzhou University, Yangzhou 225009, China
- School of Public Administration, Nanjing Agricultural University, Nanjing 210023, China
| | - Bin Fang
- School of Geographical Sciences, Nanjing Normal University, Nanjing 210023, China
| |
Collapse
|
4
|
Zhang L, Gu Q, Li C, Huang Y. Characteristics and Spatial-Temporal Differences of Urban "Production, Living and Ecological" Environmental Quality in China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15320. [PMID: 36430038 PMCID: PMC9691235 DOI: 10.3390/ijerph192215320] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 11/16/2022] [Accepted: 11/17/2022] [Indexed: 06/16/2023]
Abstract
The article analyses the spatial and temporal differences in the environmental quality of production, living and ecology of 285 cities in China from 2010 to 2020 by using the entropy method, the Theil index and correlation analysis. The study concludes the following: (1) in terms of overall differences, the overall differences in the "production, living and ecological" environmental quality indices of 285 cities during the study period undergo a process of "narrowing-widening-narrowing". The differences within the four major zones of the country are higher than those between the four major zones, and the differences within the zones show an increasing trend year by year. (2) In terms of temporal differences, the combined scores of "production, living and ecological" environmental quality of the 285 cities in the study period show a decreasing trend, and the contribution of the PLE subsystem scores are, in descending order, production environmental quality > living environmental quality > ecological environmental quality. (3) In terms of overall ranking, the head effect of the combined production, living and ecological environmental quality (PLE) scores of cities in the study period is significant, and the top 10 cities in terms of combined scores are all small and medium-sized cities with significant regionalization characteristics. (4) In terms of spatial pattern, there is a significant spatial gradient in the east, central and western regions, with the overall PLE scores of the four major regions in descending order: eastern region > central region > western region > northeastern region. The regions with high scores in the "production, living and ecological" environmental quality of cities can be divided into three types: multi-core, dual-core and single-core. (5) In terms of influencing factors, there is a logarithmic curve relationship between the combined production, living and ecological environmental quality (PLE) score and the built-up area (BUA) of cities. The study proposes to optimize the layout of urban production, strengthen the industrial links of urban clusters, improve the level of public services, ensure the equalization of urban public services, strengthen the management of ecological environment and improve the quality of ecological environment in order to optimize the quality of urban "production, living and ecological" environment.
Collapse
Affiliation(s)
- Le Zhang
- School of Marxism, Jiangnan University, Wuxi 214122, China
| | - Qinyi Gu
- School of Marxism, Jiangnan University, Wuxi 214122, China
| | - Chen Li
- School of Management, Shanghai University of Engineering Science, Shanghai 201620, China
| | - Yi Huang
- School of Geographic Sciences, Nantong University, Nantong 226019, China
| |
Collapse
|