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Atlas
analysis of 30 years of Arctic environmental research trends using CiteSpace
Gu Yue, Lu Zhibo, Yao Junlan
2021, 33 (3):
432-450.
DOI: 10.13679/j.jdyj.20200057
To identify the
Arctic environmental research gap between China and other countries, we built
an advanced Arctic scientific research framework based on the CiteSpace tool, a bibliometric tool,
to conduct a literature review for nearly 30 years of Chinese and international
Arctic environmental research from 1990 to 2020. Through co-occurrence,
clustering, and co-citation analysis, we found that the development of Arctic
environmental research can be divided into slow development, rapid development
and stable development stages, and the eight Arctic countries and Germany,
Britain and France are the leaders in Arctic environmental research. We also
found that Arctic environmental studies are closely related to the disciplines
of geology and atmospheric sciences. Sea ice, tundra, permafrost, and snow
cover are the most commonly researched environmental media in the Arctic. There
is a recent research trend toward examining pollutants such as chlorinated
hydrocarbons, ozone, heavy metals, black carbon, as well as persistent organic
pollutants. Comparative analysis of the evolution of Chinese
and international research found that international Arctic environmental
research over 2010—2020 has focused on polar bears, black carbon,
perfluorooctane sulfonate, mercury and microplastics. Chinese research on black
carbon, microplastics and perfluorooctane sulfonate closely follows the
international trend and takes advantage of the height of the Tibetan Plateau to
conduct large-scale climate change research; however, Chinese research has
obvious deficiencies regarding ecotoxicology. We conclude by proposing that
Chinese researchers place greater emphasis on the pollution of environmental
media such as sea ice, tundra, permafrost and snow cover to study the
occurrence, form, concentration levels and spatial distributions of pollutants.
Such research could use techniques from geology, biology, remote sensing and
numerical modeling to identify pollution sources, to obtain particle size distribution
information and Arctic biological data, and to analyze the biological
amplification effect, cumulative effects and potential ecological toxicity of
pollutants. This would open up diversified channels for international
cooperation and establish active scientific research cooperation in the Arctic
environment. It would also further enhance China's long-term monitoring
capability in the Arctic region for observing and predicting the temporal trend
of Arctic climate change.
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