Data Supporting Generalized models to estimate carbon and nitrogen stocks of organic layers in Interior Alaska
Dates
Start Date
2000-07-07
End Date
2015-07-29
Revision
2020-06-02
Publication Date
2019-07-30
Citation
Manies, K.L., 2019, Data Supporting Generalized models to estimate carbon and nitrogen stocks of organic layers in Interior Alaska: U.S. Geological Survey data release, https://doi.org/10.5066/P960N1F9.
Summary
Boreal ecosystems comprise about one tenth of the world’s land surface and contain over 20 % of the global soil carbon (C) stocks. Boreal soils are unique in that the mineral soil is covered by what can be quite thick layers of organic soil. These organic soil layers, or horizons, can differ in their state of decomposition, source vegetation, and disturbance history. These differences result in varying soil properties (bulk density, C content, and nitrogen (N) content) among soil horizons. These data were used in a manuscript (https://doi.org/10.5194/essd-2019-114) where these soil properties, as represented by over 3000 samples from Interior Alaska, were summarized. We also examined how soil drainage and stand age affect these attributes. [...]
Summary
Boreal ecosystems comprise about one tenth of the world’s land surface and contain over 20 % of the global soil carbon (C) stocks. Boreal soils are unique in that the mineral soil is covered by what can be quite thick layers of organic soil. These organic soil layers, or horizons, can differ in their state of decomposition, source vegetation, and disturbance history. These differences result in varying soil properties (bulk density, C content, and nitrogen (N) content) among soil horizons. These data were used in a manuscript (https://doi.org/10.5194/essd-2019-114) where these soil properties, as represented by over 3000 samples from Interior Alaska, were summarized. We also examined how soil drainage and stand age affect these attributes. The summary values presented in this manuscript can be used to gap-fill large datasets when important soil properties were not measured, provide data to initialize process-based models, and validate model results.
