Foliar carbon and nitrogen concentrations and natural abundance isotope signatures for Larix cajanderi across a tree density gradient in northeastern Siberia, 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: | , , , |
---|---|
Format: | Dataset |
Language: | English |
Published: |
NSF Arctic Data Center
2018
|
Subjects: | |
Online Access: | https://dx.doi.org/10.18739/a27h1dn87 https://arcticdata.io/catalog/view/doi:10.18739/A27H1DN87 |
id |
ftdatacite:10.18739/a27h1dn87 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.18739/a27h1dn87 2023-05-15T18:30:31+02:00 Foliar carbon and nitrogen concentrations and natural abundance isotope signatures for Larix cajanderi across a tree density gradient in northeastern Siberia, 2017 Hewitt, Rebecca Alexander, Heather Izbicki, Brian Mack, Michelle 2018 text/xml https://dx.doi.org/10.18739/a27h1dn87 https://arcticdata.io/catalog/view/doi:10.18739/A27H1DN87 en eng NSF Arctic Data Center Larix cajanderi Foliar natrual abundance 13 C Foliar natrual abundance 15 N Foliar % C Foliar % N Northeast Science Station Dataset dataset 2018 ftdatacite https://doi.org/10.18739/a27h1dn87 2022-04-01T18:11:53Z 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 quantified foliar carbon and nitrogen concentrations and natural abundance isotope signatures of Larix cajanderi during the peak and the end of the growing season across a gradient of stand densities. We collected foliage from five trees in 26 sites across a tree density gradient near the Northeast Science Station, Russia in July and September 2017. This data set consists of foliar percent carbon, percent nitrogen, natural abundance carbon-13 and nitrogen-15 signatures from foliage. Dataset taiga Tundra Siberia DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Larix cajanderi Foliar natrual abundance 13 C Foliar natrual abundance 15 N Foliar % C Foliar % N Northeast Science Station |
spellingShingle |
Larix cajanderi Foliar natrual abundance 13 C Foliar natrual abundance 15 N Foliar % C Foliar % N Northeast Science Station Hewitt, Rebecca Alexander, Heather Izbicki, Brian Mack, Michelle Foliar carbon and nitrogen concentrations and natural abundance isotope signatures for Larix cajanderi across a tree density gradient in northeastern Siberia, 2017 |
topic_facet |
Larix cajanderi Foliar natrual abundance 13 C Foliar natrual abundance 15 N Foliar % C Foliar % N Northeast Science Station |
description |
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 quantified foliar carbon and nitrogen concentrations and natural abundance isotope signatures of Larix cajanderi during the peak and the end of the growing season across a gradient of stand densities. We collected foliage from five trees in 26 sites across a tree density gradient near the Northeast Science Station, Russia in July and September 2017. This data set consists of foliar percent carbon, percent nitrogen, natural abundance carbon-13 and nitrogen-15 signatures from foliage. |
format |
Dataset |
author |
Hewitt, Rebecca Alexander, Heather Izbicki, Brian Mack, Michelle |
author_facet |
Hewitt, Rebecca Alexander, Heather Izbicki, Brian Mack, Michelle |
author_sort |
Hewitt, Rebecca |
title |
Foliar carbon and nitrogen concentrations and natural abundance isotope signatures for Larix cajanderi across a tree density gradient in northeastern Siberia, 2017 |
title_short |
Foliar carbon and nitrogen concentrations and natural abundance isotope signatures for Larix cajanderi across a tree density gradient in northeastern Siberia, 2017 |
title_full |
Foliar carbon and nitrogen concentrations and natural abundance isotope signatures for Larix cajanderi across a tree density gradient in northeastern Siberia, 2017 |
title_fullStr |
Foliar carbon and nitrogen concentrations and natural abundance isotope signatures for Larix cajanderi across a tree density gradient in northeastern Siberia, 2017 |
title_full_unstemmed |
Foliar carbon and nitrogen concentrations and natural abundance isotope signatures for Larix cajanderi across a tree density gradient in northeastern Siberia, 2017 |
title_sort |
foliar carbon and nitrogen concentrations and natural abundance isotope signatures for larix cajanderi across a tree density gradient in northeastern siberia, 2017 |
publisher |
NSF Arctic Data Center |
publishDate |
2018 |
url |
https://dx.doi.org/10.18739/a27h1dn87 https://arcticdata.io/catalog/view/doi:10.18739/A27H1DN87 |
genre |
taiga Tundra Siberia |
genre_facet |
taiga Tundra Siberia |
op_doi |
https://doi.org/10.18739/a27h1dn87 |
_version_ |
1766214028499091456 |