Stand-level nitrogen and carbon cycling characteristics of larch forests across a tree density gradient in northeastern Siberia, 2010-2017 ...

• Main Authors: Hewitt, Rebecca, Alexander, Heather, Walker, Xanthe, Izbicki, Brian, Mack, Michelle
• Format: Dataset
• Language: English
• Published: NSF Arctic Data Center 2022
• Subjects: FORESTS; NUTRIENTS; CARBON; taiga; Tundra; Siberia
• Online Access: https://dx.doi.org/10.18739/a2gx44w2m; https://arcticdata.io/catalog/view/doi:10.18739/A2GX44W2M

As climate warms, tree density at the taiga-tundra ecotone is expected to increase, which may intensify competition for belowground resources in this nitrogen (N) limited environment. To determine the impacts of increased tree density on N cycling and productivity we examined edaphic properties indicative of soil N availability along with aboveground and belowground tree-level traits and stand characteristics related to carbon (C) and N cycling across a tree density gradient of monodominant larch (Larix cajanderi) at the taiga-tundra ecotone in far northeastern Siberia. In this dataset, we characterized stand-level aboveground C and N cycling metrics in 26 stands across a tree density gradient of monodominant Cajander larch (Larix cajanderi) at the taiga-tundra ecotone in far northeastern Siberia. We calculated stand-level characteristics (i.e., C, N, and biomass pools, resorption, N uptake, N production, N residence time, N use efficiency). Our calculations are based on inventory data collected from ...