Landscape Genes and Landscape Restoration
FEI Xue-yan, CHENG Ye-qing, KONG Xi-ping, ZHANG Jin-ping
The study of cultural landscape genes of traditional villages is one of the key areas of geography, which plays an important role in the inheriting China's outstanding culture, protecting countryside characteristic features, and supporting rural revitalization. Taking the Tanka Fishing village in Lingshui Li autonomous county, Hainan province as an example, this paper established an analysis framework of cultural landscape genetic for the Tanka Fishing village based on the Landscape Gene Theory, identified and analyzed its types, characteristics and information chain of cultural landscape gene of the village. The results show that: (1) The Tanka Fishing village has abundant cultural landscape genetic types. Material culture landscape gene can be divided into two parts: sea and land, reflecting the historical changes of the production and lifestyles of the Tanka people; The intangible cultural landscape genes include traditional skills, music, language, etc., which implicate the good wishes for happiness, peace, and harvest of the Tanka people. (2) The intangible landscape gene information elements such as traditional skills, language, music, customs, and festivals fully reflect the landscape features of "fishery production and lifestyle" and distinctive marine "fishing culture" as the core of the Tanka Fishing village. It is difficult for material cultural landscape gene to fully reflect the meta-characteristics of landscape gene information with the development of society, but the gene can still be mined from the plane structure and local decoration. (3) Important landscape gene information points such as ancient pier, Sanjiang Temple, traditional folk on land and marine fishing rows in Tanka Fishing village showed diversified functions. Sea and land landscape gene information corridors are important channels connecting landscape gene points in the village, which has an obvious character of hierarchy. The characteristics of landscape gene information network are obviously intensive, the layout of fishing rows at sea is regular and large, and the traditional buildings on land are scattered.