Vegetation type, soil biogeochemical data, and upscaled soil carbon on South Baffin Island, Nunavut, Canada, 2022

Predictions of how rapid warming will affect Arctic soil carbon (C) stocks are limited by an uneven sampling distribution across the pan-arctic region. Working in an understudied region of the Arctic, this project aims to improve our understanding of the quantities and controls on soil C. Specifically, we combined soil C data for three vegetation types, polar desert, mesic tundra, and wet meadow, with a vegetation classification to upscale soil C stocks on South Baffin Island. The uploaded dataset contains two sets of paired files. 1) Metadata and geochemistry files to report soil biogeochemical data from 51 soil cores collected on South Baffin Island in July, 2022. 2) A record of the code and dataset used to generate a vegetation classification and soil C upscaling estimate for the study region.

快速变暖对北极土壤碳（C）储量影响的预测，受限于泛北极区域采样分布不均的问题。本研究聚焦北极一处研究程度较低的区域，旨在深化对土壤碳储量及其调控机制的认知。具体而言，本研究结合极地荒漠、中生苔原与湿草甸三种植被类型的土壤碳数据，辅以植被分类方法，对巴芬岛南部的土壤碳储量进行尺度上推。本次上传的数据集包含两组配对文件：1. 元数据与地球化学文件：记录2022年7月在巴芬岛南部采集的51个土壤岩芯的土壤生物地球化学数据；2. 代码与数据集记录：包含用于生成研究区域植被分类及土壤碳储量尺度上推估算结果的代码与配套数据集。