Information Extraction and Spatial Distribution of Research Hot Regions on Rocky Desertification in China
Source abstract
Abstract
Rocky desertification is an important type of ecological degradation in southwest of China. The author uses the web crawler technology and obtained 9345 journal papers related to rocky desertification from 1950s to 2016 in China. The authors also constructed a technological process to extract research hot regions on rocky desertification and then a spatial distribution map of research hot regions on rocky desertification was formed. Finally, the authors compared the spatial distribution using the sensitivity map of rocky desertification to find the differences between two maps. The study shows that: (1) rocky desertification research hot regions in China are mainly distributed in Guizhou, Yunnan and Guangxi, especially in Bijie, Liupanshui, Guiyang, Anshun, Qianxinan Autonomous Prefecture, QianNan Autonomous Prefecture, Qiandongnan Autonomous Prefecture in Guizhou Province, Hechi, Baise, Nanning, Guilin in Guangxi Zhuang Autonomous Region and Zhaotong in Yunnan Province. (2) The research hot regions on rocky desertification have good spatial consistency with the sensitivity regions of rocky desertification. At the prefecture level, the overlap rate of the two regions reached 85%. Because of the influence of topography, vegetation coverage, population distribution, traffic accessibility and other factors, there were regions that consisted of combinations of high sensitivity but low research popularity regarding rocky desertification; these sites included Qionglai Mountain-Liangshan Area of Sichuan, Wushan-Shennongjia Area of Hubei, Hengduan Mountain Area of western Yunnan and Dupangling Area of southern Hunan. (3) The research hot regions and sensitive regions cannot be matched completely in time, space and concept. Therefore, we can use their spatial distribution differences to improve the pertinence of planning, governance and study of rocky desertification.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Geochemistry and Geologic Mapping
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
University of Chinese Academy of Sciences, Beijing 100049, China
Funding
National Key Research and Development Plan Program
References (44)
Show source-provided references
1. Analysis on driving factors of karst rock-desertification—With a special reference to guizhou province
2. Karst rocky desertification in southwestern china: Geomorphology, landuse, impact and rehabilitation10.1002/ldr.592 ↗
3. Rocky desertification in Guizhou karst region and its preventive strategy
4. Controlling model for rocky desertification of karst mountainous region and its preventing strategy in southwest, China
5. Re-discussion on the concept and classification of rocky desertification
6. Stone desertification and eco-economics improving model in Guizhou karst mountain
7. Application of remote sensing and GIS technology for land desertification in Guizhou karst region
8. Concept deduction and its connotation of karst rocky desertification
9. Measurement of ecological capital of chinese terrestrial ecosystem based on remote sensing
10. Karst rocky desertification:Formation background, evolution and comprehensive taming
11. A review on recent advances in rocky desertification in Southwest China Karst Region
12. Runoff and erosion processes on bare slopes in the karst rocky desertification area10.1016/j.catena.2017.01.013 ↗
13. Can web crawlers revolutionize ecological monitoring?10.1890/070204 ↗
14. Extraction and dynamic spatial-temporal changes of grassland deterioration research hot regions in china
15. A method of context enhanced keyword extraction for sparse geo-entity relation
16. Sergio, M., Agnese, M., Dario, S., and Tullio, F. (2012). Opportunities for web-based indicators in environmental sciences. PLoS ONE, 7.10.1371/journal.pone.0042128 ↗
17. Research on toponym resolution in Chinese text
18. Sadilek, A., Kautz, H., and Silenzio, V. (2012, January 22–26). Predicting Disease Transmission from Geo-Tagged Micro-Blog Data. Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, Toronto, ON, Canada.10.1609/aaai.v26i1.8103 ↗
19. Dredze, M., Paul, M.J., Bergsma, S., and Tran, H. (, January July). Carmen: A Twitter Geolocation System with Applications to Public Health. Proceedings of the AAAI Workshop on Expanding the Boundaries of Health Informatics Using AI (HIAI), Bellevue, WA, USA.
20. Sakaki, T., Okazaki, M., and Matsuo, Y. (2010, January 26–30). Earthquake Shakes Twitter Users: Real-Time Event Detection by Social Sensors. Proceedings of the International World Wide Web Conference, Raleigh, NC, USA.10.1145/1772690.1772777 ↗
21. Cameron, A.M., Power, R., Robinson, B., and Yin, J. (2012, January 16–20). Emergency Situation Awareness from Twitter for Crisis Management. Proceedings of the 21st International Conference on World Wide Web—WWW 7812 Companion, Lyon, France.10.1145/2187980.2188183 ↗
22. Linking genes to literature: Text mining, information extraction, and retrieval applications for biology10.1186/gb-2008-9-s2-s8 ↗
23. A literature network of human genes for high-throughput analysis of gene expression10.1038/ng0501-21 ↗
24. Text mining and its potential applications in systems biology10.1016/j.tibtech.2006.10.002 ↗
25. Becker, K.G., Hosack, D.A., Glynn Dennis, J., Lempicki, R.A., Bright, T.J., Cheadle, C., and Engel, J. (2003). Pubmatrix: A tool for multiplex literature mining. BMC Bioinform., 4.10.1186/1471-2105-4-61 ↗
26. Chakrabarti, S., van den Berg, M., and Dom, B. (, January May). Focused crawling: A new approach to topic-specific web resource discovery. Proceedings of the WWW8 Conference, Toronto, ON, Canada.
27. A web crawler design for data mining10.1177/016555150102700503 ↗
28. A stochastic finite-state word-segmentation algorithm for Chinese
29. Levow, G.A. (2006, January 22–23). The Third International Chinese Language Processing Bakeoff: Word Segmentation and Named Entity Recognition. Proceedings of the Sighan Workshop on Chinese Language Processing, Sydney, Australia.
30. Wu, Y., Zhao, J., and Xu, B. (2003, January 20–24). Chinese named entity recognition combining a statistical model with human knowledge. Proceedings of the ACL 2003 Workshop on Multilingual and Mixed-Language Named Entity Recognition, Sapporo, Japan.10.3115/1119384.1119393 ↗
31. A method for estimating the precision of placename matching10.1109/TKDE.2007.1033 ↗
32. Placename data matching based on bpm-bm algorithm
33. Chinese place name identification with Chinese characters features
34. Duplicate field matching for data cleaning of Chinese placenames
35. Dynamic changes of vegetation coverage in daqingshan nature reserve based on modis ndvi image
36. Dynamic monitoring of alpine grassland coverage based on uav technology and modis remote sensing data—A case study in the headwaters of the yellow river
37. Index system and transferring methods to build the national society and economy grid database
38. (2016, October 01). Hanlp: Han Language Processing. Available online: http://hanlp.linrunsoft.com/.
39. (2016, October 01). Ansjdemo. Available online: https://github.com/NLPchina/ansj_seg.
40. An improved high-effective kmp pattern matching algorithm
41. Sensitivity of rocky desertification and its spatial distribution in southwestern China
42. An assessment of eco-environmental vulnerability in karst counties of Guangxi
43. Evaluation of ecological sensitivity in China
44. The spatial optimization of mineral industrial capacity reduction planning of resource-based cities in china based on ecological sensitive areas