Supporting information for: The longest baseline record of vegetation dynamics in Antarctica reveals acute sensitivity to water availability

• Main Authors: Colesie, Claudia, Pan, Yueming, Cary, Steven Craig, Gemal, Emma, Brabyn, Lars, Kim, Jeong-Hoon, Green, Allan TG, Lee, Charles
• Other Authors: Alexander von Humboldt Foundation, New Zealand Ministry of Business, Innovation and Employment, New Zealand Antarctic Research Institute, New Zealand Antarctic Science Platform
• Format: Dataset
• Language: English
• Published: University of Edinburgh. School of GeoSciences. Global Change Institute 2022
• Subjects: vegetation; Antarctica; Climate Change; Biological Sciences; Cape Hallett; Hallett; Antarc*
• Online Access: https://hdl.handle.net/10283/4454; https://doi.org/10.7488/ds/3476

Supplementary data tables and figures to: The longest baseline record of vegetation dynamics in Antarctica reveals acute sensitivity to water availability Survey similarity between the different surveys assessed via a non-parametric test for paired nominal data (McNemar test). The McNemar test was performed in SPSS (IBM, version 24) to pairwise compare moss, eukaryotic algae/cyanobacteria, and lichen cover between the 1961, 2004, and 2018 datasets, independent from surface type and surface type specific (3 survey years x 3 functional groups of vegetation x 5 surface types = a total of 45 individual pairings). Some pairings could not be tested (invalid) because some functional vegetation groups did not exist on certain surface types (e. g. moss on LLAC surfaces), or because the sample size was too low. Total sample size for each test varied because only plots that were free of snow were compared. Where the McNemar test output variables indicated suitable results, the kappa test statistic was extracted as a similarity score for the pairing