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Wang Z, Zhu J, Wu Z. Study on the spatial distribution characteristics of traditional villages and their response to the water network system in the lower yangtze river basin. Sci Rep 2024; 14:22586. [PMID: 39343780 PMCID: PMC11439937 DOI: 10.1038/s41598-024-74363-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Accepted: 09/25/2024] [Indexed: 10/01/2024] Open
Abstract
Traditional villages hold significant historical and cultural value as the precious heritage of China's agricultural civilization. Currently, against the backdrop of increasing urbanization and rapid expansion of urban construction land, the spatial patterns of traditional villages across various regions in China are being encroached upon and damaged, with protection pressures growing daily. As one of the important cradles of Chinese civilization, the Lower Yangtze River Basin (LYRB) has traditional villages closely linked with its water systems, forming a unique human-land relationship and spatial distribution pattern. However, influenced by the rapid urbanization process, the spatial patterns of traditional villages in this region also face a crisis, and the contradiction between protection and development is becoming increasingly prominent. How to balance this contradiction and ensure the reasonable protection and sustainable development of traditional villages has become an urgent issue to address. Therefore, this study focuses on the LYRB. Using ArcGIS tools and combined with mathematical analysis methods, the spatial distribution characteristics and essential influencing factors of traditional villages in this area were screened and analyzed. The objective was to examine the spatial structural relationship between traditional villages, four water system types, and nine sub-basin units, intending to reveal the unique interdependence between the water system and traditional villages in this area. This would provide scientific support for the formulation of scientific conservation strategies. The research results show that: (1) Traditional villages in The LYRB form two core clusters spatially and exhibit substantial spatial accumulation; (2) Water system characteristics are the main factors affecting the distribution of traditional villages; (3) In the LYRB, the spatial distribution of the nine sub-basins is closely related to the spatial distribution of traditional villages, resulting in typical regional spatial differentiation of traditional villages in this area. This study is based on a watershed perspective, and the results highlight the importance of the water system network in the development of traditional villages, revealing a unique spatial dependency relationship between traditional villages and the water network in the LYRB. In order to ensure the comprehensive protection of the traditional village system in this region, it is essential to adhere to the fundamental principles that govern its spatial configuration. A tripartite collaborative protection system based on the watershed should be formulated from the perspective of the overall distribution relationship between the water network and the traditional villages. This system would serve to protect the overall landscape, the water network pattern, and the traditional villages. Establishing an overall pattern view of integrating the water system network and the traditional villages is essential.
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Affiliation(s)
- Zhugen Wang
- College of Architecture, Nanjing Tech University, Nanjing, 211816, China
| | - Jianing Zhu
- College of Architecture, Nanjing Tech University, Nanjing, 211816, China
| | - Zhen Wu
- College of Architecture, Nanjing Tech University, Nanjing, 211816, China.
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Ma X, Shi Y, Zhang S, Yang J, Guo L. Analysis of the impact of traditional ethnic villages in Hani area on sustainable development. PLoS One 2023; 18:e0283142. [PMID: 36928462 PMCID: PMC10019659 DOI: 10.1371/journal.pone.0283142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 03/02/2023] [Indexed: 03/18/2023] Open
Abstract
Rapid economic development and accelerated urbanization have seriously affected the development of traditional ethnic villages in China. We used the minimum cumulative resistance (MCR) model based on land use, landscape pattern, and ecosystem service value (ESV) to evaluate the spatio-temporal dynamics of sustainable development in Hani traditional ethnic villages from 1995 to 2020. By analyzing changes in sustainability indicators in the Hani area and different buffer zones, this paper aims to assess the impact of ethnic villages in the Hani Area on sustainable development and provide recommendations for the sustainable development of traditional ethnic Hani villages. The results indicated that: (1) The area of construction land and landscape fragmentation in the Hani area significantly increased and the value of ecosystem services and levels of sustainable development decreased each year during the study period; (2) The area of cropland in the 2 km buffer zone of the traditional ethnic villages increased, the degree of landscape fragmentation, the value of ecosystem services, and the level of sustainable development were lower than in the 4 km buffer zone during the study period. This is due to population increases in traditional ethnic Hani villages, as well as the intensive reclamation of cropland, increased construction land, and landscape fragmentation. We suggest that the Hani should implement scientific land planning and management policies to protect the local ecosystem and realize the sustainable development of traditional ethnic Hani villages.
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Affiliation(s)
- Xinying Ma
- College of Life and Environmental Sciences, Minzu University of China, Beijing, China
| | - Yu Shi
- State Key Lab of Urban and Regional Ecology, Research Center for Eco-environmental Sciences, Chinese Academy of Sciences, Beijing, China
| | - Shidong Zhang
- College of Life and Environmental Sciences, Minzu University of China, Beijing, China
| | - Jingbiao Yang
- College of Life and Environmental Sciences, Minzu University of China, Beijing, China
- * E-mail: (JY); (LG)
| | - Luo Guo
- College of Life and Environmental Sciences, Minzu University of China, Beijing, China
- * E-mail: (JY); (LG)
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Jin L, Wang Z, Chen X. Spatial Distribution Characteristics and Influencing Factors of Traditional Villages on the Tibetan Plateau in China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph192013170. [PMID: 36293749 PMCID: PMC9603369 DOI: 10.3390/ijerph192013170] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 10/03/2022] [Accepted: 10/09/2022] [Indexed: 05/26/2023]
Abstract
The Tibetan Plateau is one of the world's most extreme habitats and one of the most challenging ecosystems on the planet. Many multi-ethnic traditional villages have developed on the plateau over its long history, and are an essential component of human settlement. It is critical to research them, and it is also significant for China's goals to make the Tibetan Plateau a distinctive ethnic cultural preservation site and a world tourist destination. While there have been limited studies focusing on villages in the entire Tibetan Plateau area, as a result, we aim to expand the field of research on the regional study of traditional villages and make progress in research throughout the Tibetan Plateau. The question addressed in this study is what the current characteristics of the distribution of traditional villages on the Tibetan Plateau are, and we attempt to propose suggestions for the preservation of traditional villages according to the distribution characteristics. Methods such as the closest neighbor index, kernel density estimates, and spatial autocorrelation analysis are used to investigate the characteristics of the spatial distribution of traditional Chinese villages on the Tibetan Plateau, as well as regression analysis of the factors that control this distribution. The findings indicate that traditional villages are unevenly distributed over the plateau, with fewer villages in the northwest and more in the southeast, showing an agglomeration type of distribution. The village distribution on provincial and municipal is uneven with a large step difference. Tibetans make up the majority of the population in the villages, but other ethnic groups are present at the margins of the plateau. The distribution of traditional villages shows "big scattered, small gather" characteristics, and one core cluster (the Hehuang Valley area of Qinghai Province) and five high-density areas (the western Sichuan Plateau; the Three Parallel Rivers area of Yunnan Province; the Yarlung Zangbo, Nyangqu, and Lhasa rivers (YZN) area of Tibet Province; the Yushu area of Qinghai Province; and the Gannan area of Gansu and Sichuan province). The natural environment has the strongest influence on the distribution of traditional villages, followed by human impacts, especially concerning the distribution of single and multi-ethnic villages, and socioeconomic factors, which have multiple influences.
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Regional Ecology Supporting Sustainable Development. SUSTAINABILITY 2022. [DOI: 10.3390/su14127302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Regional sustainable development is the primary goal of regional ecological research. Regional ecology aims to support sustainable development from an ecological perspective at the regional scale. In nearly half a century of the development of the discipline, regional ecology has developed into an essential branch of ecology. However, due to the complexity of regional ecosystems and ecological problems, regional ecology does not define clear research methods and research objects. This editorial sorts out the definition, research methods, and important research contents of regional ecology, including regional ecological security evaluation, regional sustainable development evaluation, regional resource analysis represented by water-food-energy relationship, and ecosystem service value evaluation.
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Gong G, Wei Z, Zhang F, Li Y, An Y, Yang Q, Wu J, Wang L, Yu P. Analysis of the spatial distribution and influencing factors of China national forest villages. ENVIRONMENTAL MONITORING AND ASSESSMENT 2022; 194:428. [PMID: 35551521 DOI: 10.1007/s10661-022-10087-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Accepted: 05/02/2022] [Indexed: 06/15/2023]
Abstract
China national forest villages are the agents to promote rural greening and beautification, as well as further implementation of the rural revitalization strategy. It is of great significance to study their spatial distribution characteristics and influencing factors. Therefore, taking 7586 China national forest villages as examples, the methods of nearest neighbor index, Tyson polygon, cold and hot spot analysis, and nuclear density index are used to study the spatial distribution characteristics of China national forest villages and their influencing factors. The results show that (1) since the nearest neighbor index is less than 1, and the Tyson polygon area variation coefficient is much greater than 64%, it is comprehensively determined that the distribution of China national forest villages belongs to agglomerated distribution. (2) The spatial clustering is characterized by "hot in the south and cold in the north." The hot spots are dominated by southern regions such as Sichuan, Hubei, and Jiangsu, and the cold spots are dominated by northern regions such as Heilongjiang, Jilin and Xinjiang. (3) The distribution characteristics of nuclear density have a strong correlation with the distribution characteristics of forest vegetation and urban agglomerations. Most high-density areas are located within the forest vegetation coverage. The first batch forms the Yangtze River Delta and Central Plains urban agglomerations high-density areas, and the second batch forms the Yangtze River Delta and Central Plains high-density areas. (4) Elevation, aspect, river, forest resources endowment, traffic, economic development level, and population size are important factors affecting the distribution of China national forest villages, and their distribution presents the characteristics of "low altitude, positive direction, near water, rich forest resources, convenient transportation, developed economy, and dense population." The research can provide reference for the evaluation and construction of China national forest villages and the implementation of village beautification and rural revitalization strategies in the future.
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Affiliation(s)
- Guofang Gong
- School of Management, Chongqing University of Technology, Chongqing, 400054, China
- Research Center for Rural Revitalization and Regional High-Quality Development, Chongqing University of Technology, Chongqing, 400054, China
| | - Zhen Wei
- School of Management, Chongqing University of Technology, Chongqing, 400054, China
- Research Center for Rural Revitalization and Regional High-Quality Development, Chongqing University of Technology, Chongqing, 400054, China
| | - Fengtai Zhang
- School of Management, Chongqing University of Technology, Chongqing, 400054, China.
- Research Center for Rural Revitalization and Regional High-Quality Development, Chongqing University of Technology, Chongqing, 400054, China.
| | - Yuzhen Li
- School of Management, Chongqing University of Technology, Chongqing, 400054, China
- Research Center for Rural Revitalization and Regional High-Quality Development, Chongqing University of Technology, Chongqing, 400054, China
| | - Youzhi An
- School of Management, Chongqing University of Technology, Chongqing, 400054, China
- Research Center for Rural Revitalization and Regional High-Quality Development, Chongqing University of Technology, Chongqing, 400054, China
| | - Qing Yang
- School of Management, Chongqing University of Technology, Chongqing, 400054, China
- Research Center for Rural Revitalization and Regional High-Quality Development, Chongqing University of Technology, Chongqing, 400054, China
| | - Jianfeng Wu
- School of Geography and Resources, Guizhou Education University, Guiyang, 550018, China
| | - Lu Wang
- School of Foreign Studies, Hefei University of Technology, Hefei, 230009, China
| | - Pengzhen Yu
- School of Management, Chongqing University of Technology, Chongqing, 400054, China
- Research Center for Rural Revitalization and Regional High-Quality Development, Chongqing University of Technology, Chongqing, 400054, China
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