Shrub cover change in Noatak National Preserve (1951-2016)
More than four decades’ high-resolution (~1 meter (m)) remote sensing observation in upland and lowland tundra revealed divergent pathways of shrub-cover responses to fire disturbance and climate change during 1951 to 2016 in the Noatak National Preserve of northern Alaska. We set up 114 study sites...
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Arctic Data Center
2020
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dataone:doi:10.18739/A25M6277J 2024-03-03T19:46:32+00:00 Shrub cover change in Noatak National Preserve (1951-2016) Yaping Chen Mark Lara Feng Sheng Hu Noatak National Preserve ENVELOPE(-162.6,-159.4,67.5,68.1) BEGINDATE: 1951-01-01T00:00:00Z ENDDATE: 2016-01-01T00:00:00Z 2020-01-01T00:00:00Z https://doi.org/10.18739/A25M6277J unknown Arctic Data Center tundra fire disturbance permafrost climate change Dataset 2020 dataone:urn:node:ARCTIC https://doi.org/10.18739/A25M6277J 2024-03-03T19:16:39Z More than four decades’ high-resolution (~1 meter (m)) remote sensing observation in upland and lowland tundra revealed divergent pathways of shrub-cover responses to fire disturbance and climate change during 1951 to 2016 in the Noatak National Preserve of northern Alaska. We set up 114 study sites (250 m by 250 m) in burned and the adjacent unburned upland and lowland tundra using stratified random sampling. Specifically, all sites were placed with a minimum distance of 500 m apart from one another, and the unburned sites were located in areas greater than 500 m and less than 2,000 m radius surrounding the fire perimeters. To achieve an unbiased representation of tundra types (upland and lowland tundra) and fire severity levels (high, moderate, low, and unburned), a minumun of 12 study sites were randomly assigned to each tundra type × fire severity group. We then analyzed decadal-scale shrub cover change in each study site using supervised support vector machine classifier (ArcGIS 10.5). The data was presented as shrub cover (m2 ha (hectare)-1) at years before fire and after fire, where negative values of Year Since Fire (YSF) correspond to the number of years before fire, and positive values are the number of years after fire. Our results revealed that shrub expansion in the well-drained uplands was largely enhanced by fire disturbance, and it showed positive correlation with fire severity. In contrast, shrub cover decreased in lowland tundra after fire, which triggered thermokarst-associated water impounding and resulted in ~ 50% loss of shrub cover over three decades. Dataset permafrost Thermokarst Tundra Alaska Arctic Data Center (via DataONE) |
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Open Polar |
collection |
Arctic Data Center (via DataONE) |
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dataone:urn:node:ARCTIC |
language |
unknown |
topic |
tundra fire disturbance permafrost climate change |
spellingShingle |
tundra fire disturbance permafrost climate change Yaping Chen Mark Lara Feng Sheng Hu Shrub cover change in Noatak National Preserve (1951-2016) |
topic_facet |
tundra fire disturbance permafrost climate change |
description |
More than four decades’ high-resolution (~1 meter (m)) remote sensing observation in upland and lowland tundra revealed divergent pathways of shrub-cover responses to fire disturbance and climate change during 1951 to 2016 in the Noatak National Preserve of northern Alaska. We set up 114 study sites (250 m by 250 m) in burned and the adjacent unburned upland and lowland tundra using stratified random sampling. Specifically, all sites were placed with a minimum distance of 500 m apart from one another, and the unburned sites were located in areas greater than 500 m and less than 2,000 m radius surrounding the fire perimeters. To achieve an unbiased representation of tundra types (upland and lowland tundra) and fire severity levels (high, moderate, low, and unburned), a minumun of 12 study sites were randomly assigned to each tundra type × fire severity group. We then analyzed decadal-scale shrub cover change in each study site using supervised support vector machine classifier (ArcGIS 10.5). The data was presented as shrub cover (m2 ha (hectare)-1) at years before fire and after fire, where negative values of Year Since Fire (YSF) correspond to the number of years before fire, and positive values are the number of years after fire. Our results revealed that shrub expansion in the well-drained uplands was largely enhanced by fire disturbance, and it showed positive correlation with fire severity. In contrast, shrub cover decreased in lowland tundra after fire, which triggered thermokarst-associated water impounding and resulted in ~ 50% loss of shrub cover over three decades. |
format |
Dataset |
author |
Yaping Chen Mark Lara Feng Sheng Hu |
author_facet |
Yaping Chen Mark Lara Feng Sheng Hu |
author_sort |
Yaping Chen |
title |
Shrub cover change in Noatak National Preserve (1951-2016) |
title_short |
Shrub cover change in Noatak National Preserve (1951-2016) |
title_full |
Shrub cover change in Noatak National Preserve (1951-2016) |
title_fullStr |
Shrub cover change in Noatak National Preserve (1951-2016) |
title_full_unstemmed |
Shrub cover change in Noatak National Preserve (1951-2016) |
title_sort |
shrub cover change in noatak national preserve (1951-2016) |
publisher |
Arctic Data Center |
publishDate |
2020 |
url |
https://doi.org/10.18739/A25M6277J |
op_coverage |
Noatak National Preserve ENVELOPE(-162.6,-159.4,67.5,68.1) BEGINDATE: 1951-01-01T00:00:00Z ENDDATE: 2016-01-01T00:00:00Z |
genre |
permafrost Thermokarst Tundra Alaska |
genre_facet |
permafrost Thermokarst Tundra Alaska |
op_doi |
https://doi.org/10.18739/A25M6277J |
_version_ |
1792544838137151488 |