A high spatial resolution soil carbon and nitrogen dataset for the northern permafrost region based on circumpolar land cover upscaling

[摘要] Soils in the northern high latitudes are a key component in the globalcarbon cycle; the northern permafrost region covers 22 % of the NorthernHemisphere land surface area and holds almost twice as much carbon as theatmosphere. Permafrost soil organic matter stocks represent an enormouslong-term carbon sink which is in risk of switching to a net source in thefuture. Detailed knowledge about the quantity and the mechanisms controllingorganic carbon storage is of utmost importance for our understanding ofpotential impacts of and feedbacks on climate change. Here we present ageospatial dataset of physical and chemical soil properties calculated from651 soil pedons encompassing more than 6500 samples from 16 different studyareas across the northern permafrost region. The aim of our dataset is toprovide a basis to describe spatial patterns in soil properties, includingquantifying carbon and nitrogen stocks. There is a particular need forspatially distributed datasets of soil properties, including vertical andhorizontal distribution patterns, for modeling at local, regional, or globalscales. This paper presents this dataset, describes in detail soil sampling;laboratory analysis, and derived soil geochemical parameters; calculations;and data clustering. Moreover, we use this dataset to estimate soil organiccarbon and total nitrogen storage estimates in soils in the northerncircumpolar permafrost region ( 17.9×10 6  km 2 ) using the European Space Agency's (ESA's) Climate Change Initiative (CCI) global land cover dataset at 300 mpixel resolution. We estimate organic carbon and total nitrogen stocks on acircumpolar scale (excluding Tibet) for the 0–100 and 0–300 cm soil depthto be 380 and 813 Pg for carbon, and 21 and 55 Pg for nitrogen,respectively. Our organic carbon estimates agree with previous studies, withmost recent estimates of 1000 Pg ( −170 to +186  Pg) to 300 cm depth. Two separate datasets are freely available on the Bolin Centre Database repository ( https://doi.org/10.17043/palmtag-2022-pedon-1 , Palmtag et al., 2022a; and https://doi.org/10.17043/palmtag-2022-spatial-1 , Palmtag et al., 2002b).

[学科分类] 眼科学