Stand-level nitrogen and carbon cycling characteristics of larch forests across a tree density gradient in northeastern Siberia, 2010-2017 ...
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 indi...
| Main Authors: | , , , , |
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| Format: | Dataset |
| Language: | English |
| Published: |
NSF Arctic Data Center
2022
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.18739/a2gx44w2m https://arcticdata.io/catalog/view/doi:10.18739/A2GX44W2M |
| Summary: | 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 ... |
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