[{"name":"wagner-2024-soc-1","title":"High resolution datasets of soil organic carbon and nitrogen stocks in Canadian lowland tundra","summary":"This dataset is a quantification soil organic carbon (SOC) and nitrogen (N) stocks for two study sites in Canadian lowland tundra at a spatial resolution of 2 m. The sampling was carried out during field campaigns in 2018 at Ptarmigan Bay and in 2019 at Komakuk Beach.\r\n\r\nThe field data was collected within the Nunataryuk project (EU Horizon 2020 project, 2017\u200a\u2013\u200a2023) to investigate soil properties, in particular SOC and N stocks, between two sites one of which was glaciated and one not during the last glacial maximum. \r\n\r\nThis dataset includes field sample data and predicted soil organic carbon and nitrogen stocks in tiff format for the two study areas in the following depth increments: 0\u200a\u2013\u200a5 cm, 5\u200a\u2013\u200a15 cm, 15\u200a\u2013\u200a30 cm, 30\u200a\u2013\u200a60 cm and 60\u200a\u2013\u200a100 cm. Further we provide tiff files estimating the uncertainty for each predicted depth increment.","citations":"Wagner, J., Martin, V., Speetjens, N. J., A\u2019Campo, W., Durstewitz, L., Lodi, R., Fritz, M., Tanski, G., Vonk, J. E., Richter, A., Bartsch, A., Lantuit, H., & Hugelius, G. (2023). High resolution mapping shows differences in soil carbon and nitrogen stocks in areas of varying landscape history in Canadian lowland tundra. Geoderma, 438 (116652), 116652. https:\/\/doi.org\/10.1016\/j.geoderma.2023.116652\r\n\r\nYigini, Y., Olmedo, G.F., Reiter, S., Baritz, R., Viatkin, K., Vargas, R., (2018). Soil Organic Carbon Mapping Cookbook 2nd edition. FAO.\r\n\r\nKuhn, M., 2022. caret: Classification and Regression Training. R package version 6.0-92","comments":"This study is part of the [Nunataryuk project](https:\/\/www.nunataryuk.org). The collected soil data contributes towards a better understanding of the sparsely sampled permafrost region in general, may contribute to global databases of soil properties and may enhance future digital soil mapping efforts. Maps of predicted SOC and N stocks contribute to a better understanding of small scale distribution of SOC and nitrogen stocks and may be used for further studies that estimate potential release of SOC and N from permafrost affected soils. The sites were sampled by horizon from soil pits of the active layer. The permafrost was cored in 10 cm depth increments by using a steel pipe.","category":"Terrestrial","subcategory":"Soil","keywords":"Random forest; Machine learning; Soil organic carbon; Tundra; Permafrost","scientist":"Julia Wagner, Victoria Martin, Niek J. Speetjens, Willeke A\u2019Campo, Luca Durstewitz, Rachele Lodi, Michael Fritz, George Tanski, Jorien E. Vonk, Andreas Richter, Annett Bartsch, Hugues Lantuit,  Gustaf Hugelius","firstname":"Julia","lastname":"Wagner","address":"Department of Physical Geography; Stockholm University","postalcode":"SE-106 91","city":"Stockholm","province":"","country":"Sweden","parameters":"Earth science > Land surface > Soils > Carbon","location":"Continent > North America > Canada","progress":"Completed","language":"English","project":"This study is part of the Nunataryuk project, which received funding under the European Union's Horizon 2020 Research and Innovation Programme under grant agreement no. 773421. It was further funded by the Swedish Research Council (grant 2018\u201304516) and the ESA DUE GlobPermafrost project (contract number 4000116196\/15\/I\u2013NB).","publisher":"Bolin Centre Database","version":"1","constrains":"","access":""}]