摘要
本研究以景观基因图谱为视角,对平潭滨海传统聚落内部景观基因依据物质与非物质进行识别归纳,依次构建个性与共性景观谱系和区域景观谱系。并依据生物学基因位列特征,完善景观基因识别指标,分别识别出主体基因、附着基因、混合基因、调节基因、离解基因和胞质基因,其共同构成了平潭滨海传统聚落景观基因图谱。根据以上研究可知:①以层层递进的方式构建传统聚落景观基因图谱,有利于维护地域景观的多样。②依据生物学特征优化图谱识别指标,构建更加完善的景观基因图谱。依据该理论构建平潭滨海传统聚落景观基因图谱,不仅有利于维护地域景观多样性,还有利于推动地域传统文化的保护和继承。为平潭滨海传统聚落文化景观保护和发展提供了参考依据。
From the perspective of landscape gene mapping,this study identified and summarized the landscape genes in pingtan binhai coastal traditional settlements according to the material and non-material,and constructed the pedigree of individual and common landscape and the regional landscape in turn. According to the characteristics of biological gene ranking,the landscape gene identification index was improved to identify the main gene,attachment gene,mixed gene,regulatory gene,dissociation gene and cytoplasm gene,which together constituted the landscape gene map of pingtan binhai traditional settlement.According to the above research,it can be seen that :①the genetic map of traditional settlement landscape is constructed in a progressive manner,which is conducive to maintaining the diversity of regional landscape.②optimize the map identification index according to the biological characteristics,and build a more perfect landscape gene map.Based on this theory,the genetic map of pingtan binhai traditional settlement landscape is not only conducive to maintaining the diversity of regional landscape,but also conducive to promoting the protection and inheritance of regional traditional culture.It provides a reference for the protection and development of pingtan binhai traditional settlement cultural landscape.
作者
肖宝芳
高雅玲
黄美云
尹久娜
叶菁
陈凌艳
陈组建
郑郁善
XIAO Baofang;GAO Yaling;HUANG Meiyun;YIU Jiuna;YE Jing;CHEN Lingyan;CHEN Zujian;ZHENG Yushan(College of Landscape Architecture,Fujian Agriculture and Forestry University,Fuzhou 350002,China)
出处
《安徽建筑大学学报》
2020年第2期52-58,共7页
Journal of Anhui Jianzhu University
基金
福建省区域发展项目(2015N3015)
福建农林大学科技创新专项基金项目(CXZX2017089)。
关键词
平潭
传统聚落
景观基因图谱
个性与共性
构建
Pingtan
Traditional settlements
Landscape gene map
Individuality and generality
build
