Publication Date:
2023-12-13
Description:
Globally, areas categorically known to be free of human visitation are rare, but still exist in Antarctica. Such areas may be among the most pristine locations remaining on Earth and, therefore, be valuable as baselines for future comparisons with localities impacted by human activities, and as sites preserved for scientific research using increasingly sophisticated future technologies. Nevertheless, unvisited areas are becoming increasingly rare as the human footprint expands in Antarctica. Therefore, an understanding of historical and contemporary levels of visitation at locations across Antarctica is essential to a) estimate likely cumulative environmental impact, b) identify regions that may have been impacted by non-native species introductions, and c) inform the future designation of protected areas under the Antarctic Treaty System. Currently, records of Antarctic tourist visits exist, but little detailed information is readily available on the spatial and temporal distribution of national governmental programme activities in Antarctica. Here we describe methods to fulfil this need. Using information within field reports and archive and science databases pertaining to the activities of the United Kingdom as an illustration, we describe the history and trends in its operational footprint in the Antarctic Peninsula since c. 1944. Based on this illustration, we suggest that these methodologies could be applied productively more generally.
Keywords:
Abbreviation; Adelaide_St; Admiralty_Bay_St; Antarctica; Antarctic Peninsula; Anvers_Is_St; Blaiklock_Is_St; Cape_Geddes_St; Cape_Reclus_St; Comment; Damoy_Point_St; Danco_Is_St; Deception_Is_St; Detaille_Is_St; Event label; Faraday_St; Fossil_Bluff_St; Halley_RS; Hope_Bay_St; Horseshoe_Is_St; International Polar Year (2007-2008); IPY; Latitude of event; Livingston_Island_Station; Longitude of event; Number of individuals; Number of years; Orford_Cliff_St; Port_Lockroy_St; Prospect_Point_St; Rasmussen_Hut_St; Research station; Rothera_St; RS; Sandefjord_Bay_St; Signy_RS; Size; Sky_Blu_St; Station label; Status; Stonington_Is_St; View_Point_St
Type:
Dataset
Format:
text/tab-separated-values, 235 data points
Permalink
