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长三角土地利用功能的时空演变与经济社会发展水平的关系。

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.

机构信息

School of Geographical Sciences, Nanjing Normal University, Nanjing 210023, China.

Agricultural College, Yangzhou University, Yangzhou 225009, China.

出版信息

Int J Environ Res Public Health. 2023 Jan 30;20(3):2461. doi: 10.3390/ijerph20032461.

DOI:10.3390/ijerph20032461
PMID:36767830
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9916072/
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.

摘要

为了探索土地利用功能的时空演变特征及其与社会经济发展水平的相关性,以长江三角洲地区为例,我们在 5km×5km 的网格上量化了 2000 年至 2020 年长江三角洲地区的多功能土地利用,并分析了其时空演变特征。每个城市的经济发展综合指标都采用了投影追踪法。利用人的方法对土地利用功能的时空演变与经济发展水平及其耦合关系进行了相关性分析。研究表明:(1)2000 年至 2020 年,长江三角洲地区农业生产功能>生态功能>生活功能>非农生产功能,但非农生产和生活功能逐渐增强,而农业生产和生态功能逐渐减弱。在空间分布上,由于建设用地的扩张,建设用地周围农业生产功能显著下降。非农业生产功能以网络模式在中心城市周围加强,并具有路径锁定效应。地形限制了生命功能,高北低南部分与非农业生产功能重叠。此外,生态功能南高北低,由于人类活动的干扰,生态功能不断减弱。(2)不同功能的时空异质性产生了权衡/协同作用。在研究期间,农业生产和非农生产功能与生活功能以及非农生产和生活功能与生态功能之间存在明显的权衡关系。相反,农业生产和生态功能以及非农生产和生存功能通常是协同的。空间上,两种功能之间的权衡/协同关系存在显著的空间异质性。(3)整个区域和样本区的土地利用功能指数与经济发展水平之间存在明显的相关性和空间耦合关系。然而,土地利用功能的演变在空间上具有动态性和区域性,导致不同功能的突然变化和跳跃。因此,在未来长江三角洲的一体化过程中,有必要全面关注不同土地利用功能的形态及其协同/权衡关系,并根据当地情况和形势及时调整空间治理策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb69/9916072/5187089d87ed/ijerph-20-02461-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb69/9916072/f4b35e38d6c1/ijerph-20-02461-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb69/9916072/755ac06749cc/ijerph-20-02461-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb69/9916072/13d797c4dd2d/ijerph-20-02461-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb69/9916072/bd9f4fd66ed7/ijerph-20-02461-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb69/9916072/488daa4469ef/ijerph-20-02461-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb69/9916072/d9e8edcd167d/ijerph-20-02461-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb69/9916072/dd3857a779c9/ijerph-20-02461-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb69/9916072/040ba59be947/ijerph-20-02461-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb69/9916072/5187089d87ed/ijerph-20-02461-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb69/9916072/f4b35e38d6c1/ijerph-20-02461-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb69/9916072/755ac06749cc/ijerph-20-02461-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb69/9916072/13d797c4dd2d/ijerph-20-02461-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb69/9916072/bd9f4fd66ed7/ijerph-20-02461-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb69/9916072/488daa4469ef/ijerph-20-02461-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb69/9916072/d9e8edcd167d/ijerph-20-02461-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb69/9916072/dd3857a779c9/ijerph-20-02461-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb69/9916072/040ba59be947/ijerph-20-02461-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb69/9916072/5187089d87ed/ijerph-20-02461-g009.jpg

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