Articles | Volume 18, issue 5
https://doi.org/10.5194/bg-18-1629-2021
https://doi.org/10.5194/bg-18-1629-2021
Research article
 | 
09 Mar 2021
Research article |  | 09 Mar 2021

Geochemical zones and environmental gradients for soils from the central Transantarctic Mountains, Antarctica

Melisa A. Diaz, Christopher B. Gardner, Susan A. Welch, W. Andrew Jackson, Byron J. Adams, Diana H. Wall, Ian D. Hogg, Noah Fierer, and W. Berry Lyons

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Cited articles

Antipov, E. A. and Pokryshevskaya, E. B.: Mass appraisal of residential apartments: An application of Random forest for valuation and a CART-based approach for model diagnostics, Expert. Syst. Appl., 39, 1772–1778, https://doi.org/10.1016/j.eswa.2011.08.077, 2012. 
Ball, B. A., Adams, B. J., Barrett, J. E., Wall, D. H., and Virginia, R. A.: Soil biological responses to C, N and P fertilization in a polar desert of Antarctica, Soil Biol. Biochem., 122, 7–18, https://doi.org/10.1016/J.SOILBIO.2018.03.025, 2018. 
Balter-Kennedy, A., Bromley, G., Balco, G., Thomas, H., and Jackson, M. S.: A 14.5-million-year record of East Antarctic Ice Sheet fluctuations from the central Transantarctic Mountains, constrained with cosmogenic 3He, 10Be, 21Ne, and 26Al, The Cryosphere, 14, 2647–2672, https://doi.org/10.5194/tc-14-2647-2020, 2020. 
Barrett, J. E., Virginia, R. A., Wall, D. H., Cary, S. C., Adams, B. J., Hacker, A. L., and Aislabie, J. M.: Co-variation in soil biodiversity and biogeochemistry in northern and southern Victoria Land, Antarctica, Antarct. Sci., 18, 535–548, https://doi.org/10.1017/S0954102006000587, 2006. 
Barrett, J. E., Virginia, R. A., Lyons, W. B., McKnight, D. M., Priscu, J. C., Doran, P. T., Fountain, A. G., Wall, D. H., and Moorhead, D. L.: Biogeochemical stoichiometry of Antarctic Dry Valley ecosystems, J. Geophys. Res., 112, G01010, https://doi.org/10.1029/2005JG000141, 2007. 
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Water-soluble salt and nutrient concentrations of soils collected along the Shackleton Glacier, Antarctica, show distinct geochemical gradients related to latitude, longitude, elevation, soil moisture, and distance from coast and glacier. Machine learning algorithms were used to estimate geochemical gradients for the region given the relationship with geography. Geography and surface exposure age drive salt and nutrient abundances, influencing invertebrate habitat suitability and biogeography.
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