Arctic-boreal bryophyte dynamics since the last glacial from ancient DNA metabarcoding

A total of 26 lake-sediment cores collected from 26 study sites spanning the glacial and interglacial transition are used in this study. These sites are distributed across Siberia, Beringia, and Alaska regions, with a gradient of vegetation types dominated by tundra in the northern region and transitioning to boreal forest in the southern extents. DNA samples from the sediment core were analysed with a standard sedimentary ancient DNA metabarcoding pipeline (see additional description), which resulted in a raw dataset of all DNA plant sequences, which were then filtered for Bryophytes (Bryophyte DNA dataset). The Bryophyte DNA dataset contains 120 unique ASV. Samples in the Bryophyte DNA dataset are then grouped into 1000-year time slices and are subsequently resampled to a base count of 500 read counts for each time slice. After that, a Bryophyte trait datastet is assigned to the Bryophyte DNA dataset. Input files Excel file with all data used in the R-Script: "Bryophytes_data.xlsx" WorldClim 2.0 dataset with mean temperatures of Warmest Quarter (https://www.worldclim.org/; Fick, S.E. and R.J. Hijmans, 2017. WorldClim 2: new 1km spatial resolution climate surfaces for global land areas. International Journal of Climatology 37 (12): 4302-4315): "wc2.1_30s_bio_10.tif" R script R-Script: "2025-01-14_R-Script_ arctic_boreal_bryophyte_dynamics_DNA_metabarcoding.R" R outputs resampled Bryophyte metabarcoding percentage dataset with ASV: "2025-01-14_bryophyta_resampled_percentages_mean_100runs_sequences.csv" resampled Bryophyte metabarcoding percentage dataset with unique scientific names: "2025-01-14_bryophyta_resampled_percentages_mean_100runs_scientific_names.csv" GBIF taxa occurrences with WorldClim temperature data: "2025-01-14_gbif_taxa_occurrences_seqtypes_climate.csv"