Differences in behavior and distribution of permafrost‐related lakes in <scp>C</scp>entral <scp>Y</scp>akutia and their response to climatic drivers

Ulrich, Mathias; Matthes, Heidrun; Schirrmeister, Lutz; Schütze, Juliane; Park, Hotaek; Iijima, Yoshihiro; Fedorov, A.A.

doi:10.1002/2016wr019267

Cited by 52 publications

(106 citation statements)

References 51 publications

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“…On these terraces there are abundant thermokarst lakes and alas basins. Over recent decades, there has been an increase in the development of thermokarst lakes [43,70]. …”

Section: Central Yakutia (Cya)mentioning

confidence: 99%

“…Within the study site, several distinct terraces with predominantly very ice-rich deposits can be differentiated [43,49] (Figure 4). On these terraces there are abundant thermokarst lakes and alas basins.…”

Section: Central Yakutia (Cya)mentioning

confidence: 99%

“…Yakutsk has a MAAT of −9.7 °C (1930-2010) with strong seasonal air temperature differences that can exceed 60 K between very warm summers and extremely cold winters [67]. The MAP is low at 234 mm, but can be subject to strong decadal variation [43]. Large streams, like the Lena or Aldan rivers, have a strong influence on the landscape by shaping large valleys and alluvial plains, which are seasonally flooded during spring ice-break-up [68].…”

Section: Central Yakutia (Cya)mentioning

confidence: 99%

“…With high spatial resolution images (<5 m) waterbodies can be accurately delineated even to very small sizes (<100 m 2 ; [40,41]). However, due to the limited extent and availability of very high resolution imagery, the studies were usually focused on rather small, image-footprint limited regions [40][41][42][43]. With the focus on single observations so far, the potentially strong intra-annual variation of water-bodies [27,44] cannot be sufficiently accounted for.…”

Section: Introductionmentioning

confidence: 99%

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Landsat-Based Trend Analysis of Lake Dynamics across Northern Permafrost Regions

et al. 2017

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Lakes are a ubiquitous landscape feature in northern permafrost regions. They have a strong impact on carbon, energy and water fluxes and can be quite responsive to climate change. The monitoring of lake change in northern high latitudes, at a sufficiently accurate spatial and temporal resolution, is crucial for understanding the underlying processes driving lake change. To date, lake change studies in permafrost regions were based on a variety of different sources, image acquisition periods and single snapshots, and localized analysis, which hinders the comparison of different regions. Here, we present a methodology based on machine-learning based classification of robust trends of multi-spectral indices of Landsat data (TM, ETM+, OLI) and object-based lake detection, to analyze and compare the individual, local and regional lake dynamics of four different study sites (Alaska North Slope, Western Alaska, Central Yakutia, Kolyma Lowland) in the northern permafrost zone from 1999 to 2014. Regional patterns of lake area change on the Alaska North Slope (−0.69%), Western Alaska (−2.82%), and Kolyma Lowland (−0.51%) largely include increases due to thermokarst lake expansion, but more dominant lake area losses due to catastrophic lake drainage events. In contrast, Central Yakutia showed a remarkable increase in lake area of 48.48%, likely resulting from warmer and wetter climate conditions over the latter half of the study period. Within all study regions, variability in lake dynamics was associated with differences in permafrost characteristics, landscape position (i.e., upland vs. lowland), and surface geology. With the global availability of Landsat data and a consistent methodology for processing the input data derived from robust trends of multi-spectral indices, we demonstrate a transferability, scalability and consistency of lake change analysis within the northern permafrost region.

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“…On these terraces there are abundant thermokarst lakes and alas basins. Over recent decades, there has been an increase in the development of thermokarst lakes [43,70]. …”

Section: Central Yakutia (Cya)mentioning

confidence: 99%

Section: Central Yakutia (Cya)mentioning

confidence: 99%

Section: Central Yakutia (Cya)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Landsat-Based Trend Analysis of Lake Dynamics across Northern Permafrost Regions

et al. 2017

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“…The extrapolation of results from well-studied lakes of the Mackenzie Delta region of Canada [9,[91][92][93][94], the Yakutia alasses and yedoma lakes [20,95,96], to much larger territories of boreal plains such as the WSL peatlands, and North-Siberia and Yana-Indigirka lowlands, remains unwarranted. The lakes of these lowlands may stand apart from other studied lakes of the subarctic, in view of their high peat context, low pH, shallow depth, and very low salt content.…”

Section: Stock Of Doc and Metals In Thermokarst Lakes Of The Wslmentioning

confidence: 99%

Size Distribution, Surface Coverage, Water, Carbon, and Metal Storage of Thermokarst Lakes in the Permafrost Zone of the Western Siberia Lowland

Polishchuk

Bogdanov²,

Polishchuk

et al. 2017

Water

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Despite the importance of thermokarst (thaw) lakes of the subarctic zone in regulating greenhouse gas exchange with the atmosphere and the flux of metal pollutants and micro-nutrients to the ocean, the inventory of lake distribution and stock of solutes for the permafrost-affected zone are not available. We quantified the abundance of thermokarst lakes in the continuous, discontinuous, and sporadic permafrost zones of the western Siberian Lowland (WSL) using Landsat-8 scenes collected over the summers of 2013 and 2014. In a territory of 105 million ha, the total number of lakes >0.5 ha is 727,700, with a total surface area of 5.97 million ha, yielding an average lake coverage of 5.69% of the territory. Small lakes (0.5-1.0 ha) constitute about one third of the total number of lakes in the permafrost-bearing zone of WSL, yet their surface area does not exceed 2.9% of the total area of lakes in WSL. The latitudinal pattern of lake number and surface coverage follows the local topography and dominant landscape zones. The role of thermokarst lakes in dissolved organic carbon (DOC) and most trace element storage in the territory of WSL is non-negligible compared to that of rivers. The annual lake storage across the WSL of DOC, Cd, Pb, Cr, and Al constitutes 16%, 34%, 37%, 57%, and 73%, respectively, of their annual delivery by WSL rivers to the Arctic Ocean from the same territory. However, given that the concentrations of DOC and metals in the smallest lakes (<0.5 ha) are much higher than those in the medium and large lakes, the contribution of small lakes to the overall carbon and metal budget may be comparable to, or greater than, their contribution to the water storage. As such, observations at high spatial resolution (<0.5 ha) are needed to constrain the reservoirs and the mobility of carbon and metals in aquatic systems. To upscale the DOC and metal storage in lakes of the whole subarctic, the remote sensing should be coupled with hydrochemical measurements in aquatic systems of boreal plains.

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Seasonal patterns in greenhouse gas emissions from thermokarst lakes in Central Yakutia (Eastern Siberia)

Hughes-Allen

Bouchard

Laurion

et al. 2020

Limnology & Oceanography

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In the ice‐rich permafrost area of Central Yakutia (Eastern Siberia, Russia), climate warming and other natural and anthropogenic disturbances have caused permafrost degradation and soil subsidence, resulting in the formation of numerous thermokarst (thaw) lakes. These lakes are hotspots of greenhouse gas emissions, but with substantial spatial and temporal heterogeneity across the Arctic. We measured dissolved CO2 and CH4 concentrations in thermokarst lakes of Central Yakutia and their seasonal patterns over a yearly cycle. Lakes formed over the Holocene (alas lakes) are compared to lakes that developed over the last decades. The results show striking differences in dissolved greenhouse gases (up to two orders of magnitude) between lake types and seasons. Shallow lakes located in hydrologically closed alas depressions acted as CO2 sinks and strong sources of diffusive CH4 during some seasons (ebullition was not assessed). Recent thermokarst lakes were moderate to extremely high sources of diffusive CO2 and CH4, with considerable accumulation of greenhouse gas under the ice cover (winter) or in the deepest water layers (summer), highlighting the need to include spring and autumn as critical periods for integrated assessments. The water column was stratified in winter (all lake types) and especially in summer (recent thermokarst lakes), generating anoxia in bottom waters and favoring CH4 production and storage, particularly in the most organic‐rich lakes. The diffusive fluxes measured from thermokarst lakes of this typical taiga alas landscape of Central Yakutia are among the highest presented across Arctic and subarctic regions.

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Differences in behavior and distribution of permafrost‐related lakes in Central Yakutia and their response to climatic drivers

Cited by 52 publications

References 51 publications

Landsat-Based Trend Analysis of Lake Dynamics across Northern Permafrost Regions

Landsat-Based Trend Analysis of Lake Dynamics across Northern Permafrost Regions

Size Distribution, Surface Coverage, Water, Carbon, and Metal Storage of Thermokarst Lakes in the Permafrost Zone of the Western Siberia Lowland

Seasonal patterns in greenhouse gas emissions from thermokarst lakes in Central Yakutia (Eastern Siberia)

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