Multi-Dimensional Remote Sensing Analysis Documents Beaver-Induced Permafrost Degradation, Seward Peninsula, Alaska
Beavers have established themselves as a key component of low arctic ecosystems over the past several decades. Beavers are widely recognized as ecosystem engineers, but their effects on permafrost-dominated landscapes in the Arctic remain unclear. In this study, we document the occurrence, reconstru...
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2021
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ftdoajarticles:oai:doaj.org/article:b30b113b90714a07842b03eec92250ea 2023-05-15T14:58:02+02:00 Multi-Dimensional Remote Sensing Analysis Documents Beaver-Induced Permafrost Degradation, Seward Peninsula, Alaska Benjamin M. Jones Ken D. Tape Jason A. Clark Allen C. Bondurant Melissa K. Ward Jones Benjamin V. Gaglioti Clayton D. Elder Chandi Witharana Charles E. Miller 2021-11-01T00:00:00Z https://doi.org/10.3390/rs13234863 https://doaj.org/article/b30b113b90714a07842b03eec92250ea EN eng MDPI AG https://www.mdpi.com/2072-4292/13/23/4863 https://doaj.org/toc/2072-4292 doi:10.3390/rs13234863 2072-4292 https://doaj.org/article/b30b113b90714a07842b03eec92250ea Remote Sensing, Vol 13, Iss 4863, p 4863 (2021) arctic beavers geomorphology permafrost remote sensing thermokarst Science Q article 2021 ftdoajarticles https://doi.org/10.3390/rs13234863 2022-12-30T20:32:52Z Beavers have established themselves as a key component of low arctic ecosystems over the past several decades. Beavers are widely recognized as ecosystem engineers, but their effects on permafrost-dominated landscapes in the Arctic remain unclear. In this study, we document the occurrence, reconstruct the timing, and highlight the effects of beaver activity on a small creek valley confined by ice-rich permafrost on the Seward Peninsula, Alaska using multi-dimensional remote sensing analysis of satellite (Landsat-8, Sentinel-2, Planet CubeSat, and DigitalGlobe Inc./MAXAR) and unmanned aircraft systems (UAS) imagery. Beaver activity along the study reach of Swan Lake Creek appeared between 2006 and 2011 with the construction of three dams. Between 2011 and 2017, beaver dam numbers increased, with the peak occurring in 2017 ( n = 9). Between 2017 and 2019, the number of dams decreased ( n = 6), while the average length of the dams increased from 20 to 33 m. Between 4 and 20 August 2019, following a nine-day period of record rainfall (>125 mm), the well-established dam system failed, triggering the formation of a beaver-induced permafrost degradation feature. During the decade of beaver occupation between 2011 and 2021, the creek valley widened from 33 to 180 m (~450% increase) and the length of the stream channel network increased from ~0.6 km to more than 1.9 km (220% increase) as a result of beaver engineering and beaver-induced permafrost degradation. Comparing vegetation (NDVI) and snow (NDSI) derived indices from Sentinel-2 time-series data acquired between 2017 and 2021 for the beaver-induced permafrost degradation feature and a nearby unaffected control site, showed that peak growing season NDVI was lowered by 23% and that it extended the length of the snow-cover period by 19 days following the permafrost disturbance. Our analysis of multi-dimensional remote sensing data highlights several unique aspects of beaver engineering impacts on ice-rich permafrost landscapes. Our detailed reconstruction of the ... Article in Journal/Newspaper Arctic Ice permafrost Seward Peninsula Thermokarst Alaska Directory of Open Access Journals: DOAJ Articles Arctic Lake Creek ENVELOPE(-135.621,-135.621,65.575,65.575) Remote Sensing 13 23 4863 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
arctic beavers geomorphology permafrost remote sensing thermokarst Science Q |
spellingShingle |
arctic beavers geomorphology permafrost remote sensing thermokarst Science Q Benjamin M. Jones Ken D. Tape Jason A. Clark Allen C. Bondurant Melissa K. Ward Jones Benjamin V. Gaglioti Clayton D. Elder Chandi Witharana Charles E. Miller Multi-Dimensional Remote Sensing Analysis Documents Beaver-Induced Permafrost Degradation, Seward Peninsula, Alaska |
topic_facet |
arctic beavers geomorphology permafrost remote sensing thermokarst Science Q |
description |
Beavers have established themselves as a key component of low arctic ecosystems over the past several decades. Beavers are widely recognized as ecosystem engineers, but their effects on permafrost-dominated landscapes in the Arctic remain unclear. In this study, we document the occurrence, reconstruct the timing, and highlight the effects of beaver activity on a small creek valley confined by ice-rich permafrost on the Seward Peninsula, Alaska using multi-dimensional remote sensing analysis of satellite (Landsat-8, Sentinel-2, Planet CubeSat, and DigitalGlobe Inc./MAXAR) and unmanned aircraft systems (UAS) imagery. Beaver activity along the study reach of Swan Lake Creek appeared between 2006 and 2011 with the construction of three dams. Between 2011 and 2017, beaver dam numbers increased, with the peak occurring in 2017 ( n = 9). Between 2017 and 2019, the number of dams decreased ( n = 6), while the average length of the dams increased from 20 to 33 m. Between 4 and 20 August 2019, following a nine-day period of record rainfall (>125 mm), the well-established dam system failed, triggering the formation of a beaver-induced permafrost degradation feature. During the decade of beaver occupation between 2011 and 2021, the creek valley widened from 33 to 180 m (~450% increase) and the length of the stream channel network increased from ~0.6 km to more than 1.9 km (220% increase) as a result of beaver engineering and beaver-induced permafrost degradation. Comparing vegetation (NDVI) and snow (NDSI) derived indices from Sentinel-2 time-series data acquired between 2017 and 2021 for the beaver-induced permafrost degradation feature and a nearby unaffected control site, showed that peak growing season NDVI was lowered by 23% and that it extended the length of the snow-cover period by 19 days following the permafrost disturbance. Our analysis of multi-dimensional remote sensing data highlights several unique aspects of beaver engineering impacts on ice-rich permafrost landscapes. Our detailed reconstruction of the ... |
format |
Article in Journal/Newspaper |
author |
Benjamin M. Jones Ken D. Tape Jason A. Clark Allen C. Bondurant Melissa K. Ward Jones Benjamin V. Gaglioti Clayton D. Elder Chandi Witharana Charles E. Miller |
author_facet |
Benjamin M. Jones Ken D. Tape Jason A. Clark Allen C. Bondurant Melissa K. Ward Jones Benjamin V. Gaglioti Clayton D. Elder Chandi Witharana Charles E. Miller |
author_sort |
Benjamin M. Jones |
title |
Multi-Dimensional Remote Sensing Analysis Documents Beaver-Induced Permafrost Degradation, Seward Peninsula, Alaska |
title_short |
Multi-Dimensional Remote Sensing Analysis Documents Beaver-Induced Permafrost Degradation, Seward Peninsula, Alaska |
title_full |
Multi-Dimensional Remote Sensing Analysis Documents Beaver-Induced Permafrost Degradation, Seward Peninsula, Alaska |
title_fullStr |
Multi-Dimensional Remote Sensing Analysis Documents Beaver-Induced Permafrost Degradation, Seward Peninsula, Alaska |
title_full_unstemmed |
Multi-Dimensional Remote Sensing Analysis Documents Beaver-Induced Permafrost Degradation, Seward Peninsula, Alaska |
title_sort |
multi-dimensional remote sensing analysis documents beaver-induced permafrost degradation, seward peninsula, alaska |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doi.org/10.3390/rs13234863 https://doaj.org/article/b30b113b90714a07842b03eec92250ea |
long_lat |
ENVELOPE(-135.621,-135.621,65.575,65.575) |
geographic |
Arctic Lake Creek |
geographic_facet |
Arctic Lake Creek |
genre |
Arctic Ice permafrost Seward Peninsula Thermokarst Alaska |
genre_facet |
Arctic Ice permafrost Seward Peninsula Thermokarst Alaska |
op_source |
Remote Sensing, Vol 13, Iss 4863, p 4863 (2021) |
op_relation |
https://www.mdpi.com/2072-4292/13/23/4863 https://doaj.org/toc/2072-4292 doi:10.3390/rs13234863 2072-4292 https://doaj.org/article/b30b113b90714a07842b03eec92250ea |
op_doi |
https://doi.org/10.3390/rs13234863 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
23 |
container_start_page |
4863 |
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1766330122460200960 |