Forests | |
Scientometrics of Forest Health and Tree Diseases: An Overview | |
Marco Pautasso1  Jan Stenlid2  Jonas Oliva2  | |
[1] Animal and Plant Health Unit, European Food Safety Authority (EFSA), 43126 Parma, Italy;;Animal and Plant Health Unit, European Food Safety Authority (EFSA), 43126 Parma, Italy | |
关键词:
bibliometrics;
data science;
disturbance ecology;
forest ecosystems;
|
|
DOI : 10.3390/f7010017 | |
来源: mdpi | |
【 摘 要 】
Maintaining forest health is a worldwide challenge due to emerging tree diseases, shifts in climate conditions and other global change stressors. Research on forest health is thus accumulating rapidly, but there has been little use of scientometric approaches in forest pathology and dendrology. Scientometrics is the quantitative study of trends in the scientific literature. As with all tools, scientometrics needs to be used carefully (e.g., by checking findings in multiple databases) and its results must be interpreted with caution. In this overview, we provide some examples of studies of patterns in the scientific literature related to forest health and tree pathogens. Whilst research on ash dieback has increased rapidly over the last years, papers mentioning the Waldsterben have become rare in the literature. As with human health and diseases, but in contrast to plant health and diseases, there are consistently more publications mentioning “tree health” than “tree disease,” possibly a consequence of the often holistic nature of forest pathology. Scientometric tools can help balance research attention towards understudied emerging risks to forest trees, as well as identify temporal trends in public interest in forests and their health.
【 授权许可】
CC BY
© 2016 by the author; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
RO202003190000204ZK.pdf | 2392KB | download |