Plant diversity in sedimentary DNA obtained from high-latitude (Siberia) and high-altitude lakes (China)

Compilation of environmental data for the 262 investigated localities, which include additional intra-lake localities taken within three large lakes namely: 16-KP-01-L02 (9 samples), 16-KP-03-L10 (5 samples), 16-KP-04-L19 (4 samples). The table includes information about the geographic coordinates,...

Full description

Bibliographic Details
Main Authors: Stoof-Leichsenring, Kathleen Rosmarie, Liu, Sisi, Jia, Weihan, Li, Kai, Pestryakova, Luidmila A, Mischke, Steffen, Cao, Xianyong, Li, Xingqi, Ni, Jian, Neuhaus, Stefan, Herzschuh, Ulrike
Format: Dataset
Language:English
Published: PANGAEA 2020
Subjects:
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.920866
https://doi.org/10.1594/PANGAEA.920866
Description
Summary:Compilation of environmental data for the 262 investigated localities, which include additional intra-lake localities taken within three large lakes namely: 16-KP-01-L02 (9 samples), 16-KP-03-L10 (5 samples), 16-KP-04-L19 (4 samples). The table includes information about the geographic coordinates, elevation, type of sample material, geographic region, water depth (at which samples were taken), pH, water conductivity, mean annual precipitation (MAP), mean annual temperature (MAP), July and January mean temperature. Annual mean temperature, mean temperature in July and January, and mean annual precipitation were downloaded from WorldClim 2 (www.worldclim.org), and are based on the average climate data for the years 1970–2000 at a spatial resolution of 30 seconds (ca. 1 km^2^). The site-specific climate data was interpolated to the location area by using the R packages raster Hijmans 2020. Hijmans RJ (2020) raster: Geographic Data Analysis and Modeling. R package version 3.1-5. URL: https://CRAN.R-project.org/package=raster. Plant diversity in the Arctic and at high altitudes strongly depends on and rebounds to climatic and environmental variability and is nowadays tremendously impacted by recent climate warming. Therefore, past changes in plant diversity in the high Arctic and high-altitude regions are used to infer climatic and environmental changes through time and allow future predictions. Sedimentary DNA is an established proxy for the detection of local plant diversity in lake sediments, but still relationships between environmental conditions and preservation of the plant sedDNA proxy are far from being fully understood. Studying modern relationships between environmental conditions and plant sedDNA will improve our understanding under which conditions sedDNA is well-preserved helping to a.) evaluate suitable localities for sedDNA approaches, b.) provide analogues for preservation conditions and c.) conduct reconstruction of plant diversity and climate change. This study investigates modern plant diversity ...