Kelsey E. Nyland

Dr. Kelsey E. Nyland

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Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 March 2020 in Environmental Research Letters
Verified
Journal Article
Open access
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AVAlexander Vasiliev
Alexander Vasiliev
DDDmitry S Drozdov
Dmitry S Drozdov
AGAndrey G Gravis
Andrey G Gravis
Galina Vladimirovna MalkovaGalina Vladimirovna Malkova
Galina Vladimirovna Malkova
KNKelsey E. Nyland
Kelsey E. Nyland
DSDmitry Streletskiy
Dmitry Streletskiy
The Global Climate Observing System and Global Terrestrial Observing Network have identified permafrost as an ‘Essential Climate Variable,’ for which ground temperature and active layer dynamics are key variables. This work presents long-term climate, and permafrost monitoring data at seven sites representative of diverse climatic and environmental conditions in the western Russian Arctic. The region of interest is experiencing some of the highest rates of permafrost degradation globally. Since 1970, mean annual air temperatures and precipitation have increased at rates from 0.05 to 0.07 °C yr−1 and 1 to 3 mm yr−1 respectively. In response to changing climate, all seven sites examined show evidence of rapid permafrost degradation. Mean annual ground temperatures increases from 0.03 to 0.06 °C yr−1 at 10–12 m depth were observed in continuous permafrost zone. The permafrost table at all sites has lowered, up to 8 m in the discontinuous permafrost zone. Three stages of permafrost degradation are characterized for the western Russian Arctic based on the observations reported.

3 July 2021 in Polar Geography
Verified
Journal Article
Closed access
KNKelsey E. Nyland
Kelsey E. Nyland
NSNikolay I. Shiklomanov
Nikolay I. Shiklomanov
DSDmitry Streletskiy
Dmitry Streletskiy
FNFrederick E. Nelson
Frederick E. Nelson
AKAnna E. Klene
Anna E. Klene
AKAlexander Kholodov
Alexander Kholodov
The Circumpolar Active Layer Monitoring (CALM) network is an ongoing international effort to collect and disseminate standardized measurements of active-layer dynamics to monitor the response of near-surface permafrost parameters to climate change. This work presents a distillation of 25 years (1995–2019) of observations from three north–south transects of CALM sites in tundra environments of Alaska. Transects examined in this work bisect tundra regions of discontinuous permafrost on the Seward Peninsula, and the continuous permafrost zone on the western and eastern sections of the Arctic Foothills and Arctic Coastal Plain. These transects represent regional climatic gradients, several physiographic provinces, and regionally characteristic landcover associations. Total active-layer thickening at observed sites ranged from 7 to 26 cm; more significant thaw occurred in the foothills despite less pronounced warming air temperature trends. This summary highlights several regional active layer responses to climate warming, complicated by distinct thermal landscape sensitivities, landscape variability, and documented thaw subsidence. Data summarized in this report are publicly available and represent an important validation resource for earth-system models that include regions in the continuous and discontinuous permafrost zones of northern and western Alaska.

4 August 2018 in Remote Sensing
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Journal Article
Open access
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KNKelsey E. Nyland
Kelsey E. Nyland
GGGrant Gunn
Grant Gunn
NSNikolay I. Shiklomanov
Nikolay I. Shiklomanov
RERyan Engstrom
Ryan Engstrom
DSDmitry Streletskiy
Dmitry Streletskiy
Climate warming is occurring at an unprecedented rate in the Arctic due to regional amplification, potentially accelerating land cover change. Measuring and monitoring land cover change utilizing optical remote sensing in the Arctic has been challenging due to persistent cloud and snow cover issues and the spectrally similar land cover types. Google Earth Engine (GEE) represents a powerful tool to efficiently investigate these changes using a large repository of available optical imagery. This work examines land cover change in the Lower Yenisei River region of arctic central Siberia and exemplifies the application of GEE using the random forest classification algorithm for Landsat dense stacks spanning the 32-year period from 1985 to 2017, referencing 1641 images in total. The semiautomated methodology presented here classifies the study area on a per-pixel basis utilizing the complete Landsat record available for the region by only drawing from minimally cloud- and snow-affected pixels. Climatic changes observed within the study area’s natural environments show a statistically significant steady greening (~21,000 km2 transition from tundra to taiga) and a slight decrease (~700 km2) in the abundance of large lakes, indicative of substantial permafrost degradation. The results of this work provide an effective semiautomated classification strategy for remote sensing in permafrost regions and map products that can be applied to future regional environmental modeling of the Lower Yenisei River region.

1 January 2017 in Geographical Review
Verified
Journal Article
Closed access
KNKelsey E. Nyland
Kelsey E. Nyland
AKAnna Klene
Anna Klene
JBJerry Brown
Jerry Brown
NSNikolay I. Shiklomanov
Nikolay I. Shiklomanov
FNFrederick E. Nelson
Frederick E. Nelson
KYKenji Yoshikawa
Kenji Yoshikawa

3 July 2021 in Polar Geography
Verified
Journal Article
Closed access
FNFrederick E. Nelson
Frederick E. Nelson
NSNikolay I. Shiklomanov
Nikolay I. Shiklomanov
KNKelsey E. Nyland
Kelsey E. Nyland
The Circumpolar Active Layer Monitoring (CALM) program is the primary global-change monitoring program concerned with the seasonally frozen active layer above permafrost. The active layer has been designated by the Global Climate Observing System and the Global Terrestrial Observing Network as an ‘Essential Climate Variable’. CALM was launched in 1991 on a volunteer basis in cooperation with the International Tundra Experiment. CALM observatories in Russia and Alaska have been supported since 1998 by the U.S. National Science Foundation through five consecutive five-year funding cycles. In its current configuration, the CALM network includes observation sites throughout the circum-Arctic region and a substantial number of sites in Antarctica. Open access to data and data harmonization are hallmarks of the program. In addition to its ongoing emphasis on field observations of active-layer thickness, temperature, soil moisture, and thaw subsidence are currently being monitored at many sites. Increased emphasis is being placed on observing the dynamics of other landscape and ecosystem parameters, including vegetation, landscape patterns, and soils. Other developing features of the program include expanded education and outreach activities, close cooperation with other international programs, and provision of quality-controlled, standardized data products that meet the needs of the wider scientific community.

29 April 2023 in Geosciences
Verified
Journal Article
Open access
PDF file
GOGleb Oblogov
Gleb Oblogov
AVAlexander Vasiliev
Alexander Vasiliev
DSDmitry Streletskiy
Dmitry Streletskiy
NSNikolay I. Shiklomanov
Nikolay I. Shiklomanov
KNKelsey E. Nyland
Kelsey E. Nyland
Rapid Arctic warming is expected to result in widespread permafrost degradation. However, observations show that site-specific conditions (vegetation and soils) may offset the reaction of permafrost to climate change. This paper summarizes 43 years of interannual seasonal thaw observations from tundra landscapes surrounding the Marre-Sale on the west coast of the Yamal Peninsula, northwest Siberia. This robust dataset includes landscape-specific climate, active layer thickness, soil moisture, and vegetation observations at multiple scales. Long-term trends from these hierarchically scaled observations indicate that drained landscapes exhibit the most pronounced responses to changing climatic conditions, while moist and wet tundra landscapes exhibit decreasing active layer thickness, and river floodplain landscapes do not show changes in the active layer. The slow increase in seasonal thaw depth despite significant warming observed over the last four decades on the Yamal Peninsula can be explained by thickening moss covers and ground surface subsidence as the transient layer (ice-rich upper permafrost soil horizon) thaws and compacts. The uneven proliferation of specific vegetation communities, primarily mosses, is significantly contributing to spatial variability observed in active layer dynamics. Based on these findings, we recommend that regional permafrost assessments employ a mean landscape-scale active layer thickness that weights the proportions of different landscape types.