Mapping ecological trends by keywords in the last 20 years

Shaanxi Provincial Land Consolidation Engineering Technology Research Center, Shaanxi Provincial Land Engineering Construction Group Co.,Ltd.,, Xi'an City, Shaanxi Province, 中国
DOI
10.7287/peerj.preprints.27994v1
Subject Areas
Ecology, Ecosystem Science
Keywords
Research trends, keywords, bibliometric analysis, Web of Science
Copyright
© 2019 Shi
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Shi L. 2019. Mapping ecological trends by keywords in the last 20 years. PeerJ Preprints 7:e27994v1

Abstract

Background. An effective bibliometric analysis based on the Science Citation Index (SCI) published by the Institute of Scientific Information (ISI) was carried out to identify the trend of ecological research between 1992 and 2016. Methods. This study emphases on the high-frequency keywords and their relationships to reveal the hotspots and developing trends of ecological research fields . Results. The result shows that the hotpots of ecology has changed a lot during the last 25 years, but some topics occupied an important position in ecological research consistently. Especially, “Biodiversity” and “Climate change” have been obtained more and more attention, so their ranks also have been changed greatly. As well as, we find that the relationship of the most frequently used keywords become more closely and complicated compared to before. Another interesting and amazing result shows that the keywords related to anthropogenic increased sharply. Finally, keywords analysis was an effective approach for mapping ecological research. We guess that anthropogenic keywords may be a potential guide for future research.

Author Comment

This is a preprint submission to PeerJ Preprints.