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...
Main Authors: | , , , , |
---|---|
Format: | Dataset |
Language: | English |
Published: |
NSF Arctic Data Center
2024
|
Subjects: | |
Online Access: | https://dx.doi.org/10.18739/a29z90d69 https://arcticdata.io/catalog/view/doi:10.18739/A29Z90D69 |
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. ... |
---|