Soil Temperature Data from Treeline Snowfence Experiment, Agashashok River, Alaska, 2016-2019
The position of the Arctic treeline is an important regulator of surface energy budgets, carbon cycling and subsistence resources in high latitude environments. It has long been thought that temperature exerts a direct control on growth of treeline trees and the position of the treeline. However, ou...
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NSF Arctic Data Center
2020
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ftdatacite:10.18739/a2rb6w319 2023-05-15T14:49:41+02:00 Soil Temperature Data from Treeline Snowfence Experiment, Agashashok River, Alaska, 2016-2019 Sullivan, Patrick 2020 text/xml https://dx.doi.org/10.18739/a2rb6w319 https://arcticdata.io/catalog/view/doi:10.18739/A2RB6W319 en eng NSF Arctic Data Center Soil Temperature Arctic Treeline Snow Snowfence dataset Dataset 2020 ftdatacite https://doi.org/10.18739/a2rb6w319 2021-11-05T12:55:41Z The position of the Arctic treeline is an important regulator of surface energy budgets, carbon cycling and subsistence resources in high latitude environments. It has long been thought that temperature exerts a direct control on growth of treeline trees and the position of the treeline. However, our recent work on white spruce in the Arctic suggests that indirect effects of temperature on tree access to soil nutrients may be of equal or greater importance. Our recent results provide correlative evidence of the importance of winter snow depth as a driver of tree growth. The aim of this project was to experimentally isolate the importance of snow depth and soil nutrient availability and examine the consequences for microbial processes, tree growth and treeline advance. This dataset contains measurements of soil temperature at 5 centimeter (cm) depth made using ibutton temperature sensors beneath the drip line of individual study trees in a snowfence experiment in three treeline ecotones that differ in soil hydrology (Hydric, Mesic, Xeric). Dataset Arctic Alaska DataCite Metadata Store (German National Library of Science and Technology) Arctic |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Soil Temperature Arctic Treeline Snow Snowfence |
spellingShingle |
Soil Temperature Arctic Treeline Snow Snowfence Sullivan, Patrick Soil Temperature Data from Treeline Snowfence Experiment, Agashashok River, Alaska, 2016-2019 |
topic_facet |
Soil Temperature Arctic Treeline Snow Snowfence |
description |
The position of the Arctic treeline is an important regulator of surface energy budgets, carbon cycling and subsistence resources in high latitude environments. It has long been thought that temperature exerts a direct control on growth of treeline trees and the position of the treeline. However, our recent work on white spruce in the Arctic suggests that indirect effects of temperature on tree access to soil nutrients may be of equal or greater importance. Our recent results provide correlative evidence of the importance of winter snow depth as a driver of tree growth. The aim of this project was to experimentally isolate the importance of snow depth and soil nutrient availability and examine the consequences for microbial processes, tree growth and treeline advance. This dataset contains measurements of soil temperature at 5 centimeter (cm) depth made using ibutton temperature sensors beneath the drip line of individual study trees in a snowfence experiment in three treeline ecotones that differ in soil hydrology (Hydric, Mesic, Xeric). |
format |
Dataset |
author |
Sullivan, Patrick |
author_facet |
Sullivan, Patrick |
author_sort |
Sullivan, Patrick |
title |
Soil Temperature Data from Treeline Snowfence Experiment, Agashashok River, Alaska, 2016-2019 |
title_short |
Soil Temperature Data from Treeline Snowfence Experiment, Agashashok River, Alaska, 2016-2019 |
title_full |
Soil Temperature Data from Treeline Snowfence Experiment, Agashashok River, Alaska, 2016-2019 |
title_fullStr |
Soil Temperature Data from Treeline Snowfence Experiment, Agashashok River, Alaska, 2016-2019 |
title_full_unstemmed |
Soil Temperature Data from Treeline Snowfence Experiment, Agashashok River, Alaska, 2016-2019 |
title_sort |
soil temperature data from treeline snowfence experiment, agashashok river, alaska, 2016-2019 |
publisher |
NSF Arctic Data Center |
publishDate |
2020 |
url |
https://dx.doi.org/10.18739/a2rb6w319 https://arcticdata.io/catalog/view/doi:10.18739/A2RB6W319 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Alaska |
genre_facet |
Arctic Alaska |
op_doi |
https://doi.org/10.18739/a2rb6w319 |
_version_ |
1766320768029818880 |