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基于CiteSpace的中国景观基因研究进展

Research Progress of Domestic Landscape Genes Based on CiteSpace
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摘要 景观基因作为最基本的单元景观,是判断景观表达、变化的重要依据,能较为全面、深入地挖掘具有不同地域特征的文化景观,可在地域文化传承、特色景观保护、城市更新、乡村振兴等方面发挥重要作用。应用CiteSpace知识图谱分析方法,对近20年来中国景观基因的研究历程和研究热点进行分析,发现景观基因已成为中国学界研究传统聚落保护与发展的新切入点,相关研究主要集中在景观基因的分类、景观基因的识别与提取、景观基因图谱的构建、景观基因理论的实践应用4个方面。未来研究应进一步关注景观基因的发展特性和演变机制,加强多学科的交叉融合和集成研究,积极拓宽景观基因的应用领域,以期使景观基因理论体系能在实践中更好地指导中国城乡建设,促进地域特色文化景观保护与发展。 As the most basic unit landscape,the landscape gene is an important basis for judging landscape expression and change,which can be more comprehensive and in-depth excavation of cultural landscapes with dfferent regional characteristics,and can play an important role in many aspects such as regional cultural inheritance,characteristic landscape protection,urban renewal and rural revitalization.This paper applies CiteSpace knowledge graph analysis method to analyse the research history and research hotspots of landscape genes in China in the past 20 years.It is found that landscape genes have become a new entry point for the study of traditional settlement protection and development in China,and the related research mainly focuses on four aspects,namely,clssification,identification and extraction oflandscape genes,construction of landscape gene maps,and practical application of landscape gene theory.Future research should further focus on the developmental characteristics of landscape genes and their evolutionary mechanisms,strengthen the cross-fiusion and integration of multidisciplinary research,and actively broaden the application fields of landscape genes,so that the theoretical system of landscape genes can better guide China's urban and rural construction in practice,and promote the protection and development of cultural landscapes with regional characteristics.
作者 刘小蓓 唐晓钰 LIU Xiaobei;TANG Xiaoyu
出处 《中国名城》 2023年第12期56-62,共7页 China Ancient City
基金 教育部人文社科规划项目“乡愁记忆视角下岭南水乡传统村落文化景观的保护与更新路径研究”(编号:22YJA850009) 广东省哲学社会科学规划项目“基于景观基因图谱的岭南水乡传统村落保护与发展策略研究”(编号:GD22CYS18)
关键词 景观基因 传统村落 基因图谱 CITESPACE landscape genes traditional villages gene maps CiteSpace
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