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. Specifical...

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Bibliographic Details
Main Authors: Gunther, Ana, Camill, Philip, Umbanhowar, Charles, Stansfield, Alexis, Dethier, Evan
Format: Dataset
Language:English
Published: NSF Arctic Data Center 2024
Subjects:
Online Access:https://dx.doi.org/10.18739/a2pr7mw35
https://arcticdata.io/catalog/view/doi:10.18739/A2PR7MW35
Description
Summary: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. ...