PROGRESS IN GEOGRAPHY ›› 2020, Vol. 39 ›› Issue (9): 1544-1556.doi: 10.18306/dlkxjz.2020.09.011

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Study of traditional rural settlements landscape genetic variability in Shaanxi Province based on accurate-restoration

XIANG Yuanlin1(), CAO Mingming1,*(), QIN Jin2, WU Chong1   

  1. 1. College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China
    2. College of Urban, Rural Planning and Architectural Engineering, Shangluo University, Shangluo 726000, Shaanxi, China
  • Received:2019-12-02 Revised:2020-04-03 Online:2020-09-28 Published:2020-11-28
  • Contact: CAO Mingming E-mail:xbdxiangyuanlin@126.com;chengshi@nwu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(41771539);International Partnership Program of Chinese Academy of Sciences(131551KYSB20160002);Strategic Priority Research Program of Chinese Academy of Sciences(XDA20030301)

Abstract:

Landscape genes of traditional rural settlements are a hotspot of settlements' landscape research. Based on existing research, this study defined the landscape genetic information chain and its hierarchy. The general life-like variation mechanism of landscape genes in traditional rural settlements was also proposed. On these bases, considering the landscape characteristics of traditional rural settlements in Shaanxi Province, the landscape genetic information chains of traditional rural settlements in the province were constructed and the general variation mechanism and characteristics of traditional rural settlements in the province were proposed. A theoretical framework of accurate restoration of the traditional rural settlements' landscape genetic information chain was further put forward. In addition, accurate restoration was applied to the typical settlement with variation in Shaanxi Province as an empirical case. The results verified the necessity and operability of accurate restoration. This research provides some thoughts and methods that are fresh and original for the protection and activation of traditional rural settlements from a landscape genetic perspective.

Key words: traditional rural settlements, landscape genetic information chain, landscape genetic variability, variation mechanism, accurate restoration, Shaanxi Province