Journal of Resources and Ecology ›› 2019, Vol. 10 ›› Issue (6): 692-703.doi: 10.5814/j.issn.1674-764X.2019.06.015

• Big Data • Previous Articles    

Spatial Distribution and Dynamic Changes in Research Hotspots for Desertification in China based on Big Data from CNKI

LIANG Yuting1,2, HU Yunfeng1,2,*(), HAN Yueqi1   

  1. 1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2019-08-07 Accepted:2019-09-22 Online:2019-11-30 Published:2019-12-09
  • Contact: HU Yunfeng E-mail:huyf@lreis.ac.cn
  • Supported by:
    The National Key Research and Development Program of China(2016YFC0503701);The National Key Research and Development Program of China(2016YFB0501502);The Strategic Priority Research Program of Chinese Academy of Sciences(XDA19040301);The Strategic Priority Research Program of Chinese Academy of Sciences(XDA20010202);The Strategic Priority Research Program of Chinese Academy of Sciences(XDA23100201);The Key Project of the High Resolution Earth Observation System in China(00-Y30B14-9001-14/16)

Abstract:

Desertification research plays a key role in the survival and development of all mankind. The Normalized Comprehensive Hotspots Index (NCH) is a comprehensive index that reveals the spatial distribution of research hotspots in a given research field based on the number of relevant scientific papers. This study uses Web Crawler technology to retrieve the full text of all Chinese journal articles spanning the 1980s-2018 in the Chinese Academic Journal full-text database (CAJ) from CNKI. Based on the 253,055 articles on desertification that were retrieved, we have constructed a research hotspot extraction model for desertification in China by means of the NCH Index. This model can reveal the spatial distribution and dynamic changes of research hotspots for desertification in China. This analysis shows the following: 1) The spatial distribution of research hotspots on desertification in China can be effectively described by the NCH Index, although its application in other fields still needs to be verified and optimized. 2) According to the NCH Index, the research hotspots for desertification are mainly distributed in the Agro-Pastoral Ecotone and grassland in Inner Mongolia, the desertification areas of Qaidam Basin in the Western Alpine Zone and the Oasis-Desert Ecotone in Xinjiang (including the extension of the central Tarim Basin to the foothills of the Kunlun Mountains, the sporadic areas around the Tianshan Mountains and the former hilly belt of the southern foothills of the Altai Mountains). Among these three, the Agro-Pastoral Ecotone in the middle and eastern part of Inner Mongolia includes the most prominent hotspots in the study of desertification. 3) Since the 1980s, the research hotspots for desertification in China have shown a general downward trend, with a significant decline in 219 counties (10.37% of the study area). This trend is dominated by the projects carried out since 2002. The governance of desertification in the eastern part of the Inner Mongolia-Greater Khingan Range still needs to be strengthened. The distribution of desertification climate types reflects the distribution of desertification in a given region to some extent. The Normalized Comprehensive Hotspots Index provides a new approach for researchers in different fields to analyze research progress.

Key words: big data, web crawler, research hotspots, desertification, spatial distribution, trend analysis, China