Trends and Biases in Global Climate Change Literature

The purpose of this study is to conduct a scientometric analysis of the global climate change (GCC) literature to identify the patterns, trends and biases in this research field. Data were obtained using the Thomson ISI database. A total of 5,444 articles on GCC were recorded, showing a temporal increase in the number of articles (r = 0.84; P<0.0001). Most the articles look at the impact of climate change on geophysical variables, humans and vegetation. Few studies look at fungi, amphibians or reptiles (H = 24.6; P<0.0001, N = 27). Principal component analysis revealed a temporal difference in the keywords associated with each article. In the first years we observed that the most frequent keywords indicated worry about the main causes of global climate change, but this shifted in more recent years towards keywords indicating concern with the effects of climate change on biodiversity. We argue that this scientometric study can help guide future climate change research and contribute to our understanding of several poorly studied areas.