Electronic atlas of the Russian Arctic coastal zone

Drozdov, Dmitry; Ривкин, Ф.М.; Rachold, Volker; Ananjeva-Malkova, G. V.; Ivanova, Natalia V.; Chehina, I.V.; Koreisha, M.M.; Korostelev, Yu. V.; Melnikov, E. S.

doi:10.1007/s00367-004-0189-7

Cited by 19 publications

(16 citation statements)

References 2 publications

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“…Our classifi cation refi nes existing low-resolution coastal and hinterland classifi cations for this region (Drozdov et al 2005). This refi nement is necessary for the detailed modelling of coastal dynamics along complex ice-rich permafrost coasts, as is proposed in the Arctic Coastal Dynamics project for this and other sites along the Arctic coast ).…”

Section: Discussionmentioning

confidence: 62%

Application of Landsat-7 satellite data and a DEM for the quantification of thermokarst-affected terrain types in the periglacial Lena?Anabar coastal lowland

Grosse¹,

Schirrmeister²,

Malthus³

2005

Polar Research

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Extensive parts of Arctic permafrost-dominated lowlands were affected by large-scale permafrost degradation, mainly through Holocene thermokarst activity. The effect of thermokarst is nowadays observed in most periglacial lowlands of the Arctic. Since permafrost degradation is a consequence as well as a signifi cant factor of global climate change, it is necessary to develop effi cient methods for the quantifi cation of its past and current magnitude. We developed a procedure for the quantifi cation of periglacial lowland terrain types with a focus on degradation features and applied it to the Cape Mamontov Klyk area in the western Laptev Sea region. Our terrain classifi cation approach was based on a combination of geospatial datasets, including a supervised maximum likelihood classifi cation applied to Landsat-7 ETM+ data and digital elevation data. Thirteen fi nal terrain surface classes were extracted and subsequently characterized in terms of relevance to thermokarst and degradation of ice-rich deposits. 78 % of the investigated area was estimated to be affected by permafrost degradation. The overall classifi cation accuracy was 79 %. Thermokarst did not develop evenly on the coastal plain, as indicated by the increasingly dense coverage of thermokarst-related areas from south to north. This regionally focused procedure can be extended to other areas to provide the highly detailed periglacial terrain mapping capabilities currently lacking in global-scale permafrost datasets.

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Section: Discussionmentioning

confidence: 62%

Application of Landsat-7 satellite data and a DEM for the quantification of thermokarst-affected terrain types in the periglacial Lena?Anabar coastal lowland

Grosse¹,

Schirrmeister²,

Malthus³

2005

Polar Research

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“…Net trends of NDVI were positive at most of the landscapes that we studied, but we did observe browning in two landscapes (Tanlova and Mesoyakha), and little net trend in a third landscape (Taz) ( figure 3). These three landscapes are located on the southern Yamal and Tazovskiy peninsulas, which share similar surficial geology dominated by sandy marine sediments (Drozdov et al 2005). Walker et al (2009a) noted a close correspondence between low-productivity tundra communities and sandy uplands on the Yamal; soils in these areas are relatively old and tend to be highly leached, with low concentrations of nitrogen and cations (Walker et al 2009b).…”

Section: Landscape-wide Ndvi Trendsmentioning

confidence: 97%

“…AVHRR observations indicate a great deal of heterogeneity in NDVI trends in the region, with spatially-contiguous zones of both greening and browning evident (Bhatt et al 2010). One possible explanation for this spatial variability, is that the wide variation in surficial geology, soils, and permafrost attributes in the region (Leibman 1995, Drozdov et al 2005, Walker et al 2009a, 2012) strongly modulates the local responses of vegetation to recent climatic changes. Northwest Siberian tundra has received comparatively little study, but available information highlights increases in the productivity and extent of tundra shrubs as a key driver of regional greening patterns (Forbes et al 2010, Macias-Fauria et al 2012, Frost et al 2013, as has been reported elsewhere in the Arctic (Myers-Smith et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Regional and landscape-scale variability of Landsat-observed vegetation dynamics in northwest Siberian tundra

Frost

Epstein

Walker

2014

Environ. Res. Lett.

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Widespread increases in Arctic tundra productivity have been documented for decades using coarse-scale satellite observations, but finer-scale observations indicate that changes have been very uneven, with a high degree of landscape-and regional-scale heterogeneity. Here we analyze time-series of the Normalized Difference Vegetation Index (NDVI) observed by Landsat , to assess landscape-and regional-scale variability of tundra vegetation dynamics in the northwest Siberian Low Arctic, a little-studied region with varied soils, landscape histories, and permafrost attributes. We also estimate spatio-temporal rates of land-cover change associated with expansion of tall alder (Alnus) shrublands, by integrating Landsat time-series with very-high-resolution imagery dating to the mid-1960s. We compiled Landsat time-series for eleven widely-distributed landscapes, and performed linear regression of NDVI values on a per-pixel basis. We found positive net NDVI trends ('greening') in nine of eleven landscapes. Net greening occurred in alder shrublands in all landscapes, and strong greening tended to correspond to shrublands that developed since the 1960s. Much of the spatial variability of greening within landscapes was linked to landscape physiography and permafrost attributes, while between-landscape variability largely corresponded to differences in surficial geology. We conclude that continued increases in tundra productivity in the region are likely in upland tundra landscapes with fine-textured, cryoturbated soils; these areas currently tend to support discontinuous vegetation cover, but are highly susceptible to rapid increases in vegetation cover, as well as land-cover changes associated with the development of tall shrublands.

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“…Classifications based on the division between submergent and emergent coasts, such as that by Valentin (1952), also fail to mention permafrost and sea ice despite the important role of isostasy in determining geomorphology in the Arctic (Whitehouse et al 2007). Classifications of the arctic coast exist at the national level (e.g., for Russia, Drozdov et al 2005), but not yet at the circum-arctic scale.…”

Section: Introductionmentioning

confidence: 99%

The Arctic Coastal Dynamics Database: A New Classification Scheme and Statistics on Arctic Permafrost Coastlines

Lantuit

Overduin

Couture

et al. 2011

Estuaries and Coasts

345

368

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Arctic permafrost coasts are sensitive to changing climate. The lengthening open water season and the increasing open water area are likely to induce greater erosion and threaten community and industry infrastructure as well as dramatically change nutrient pathways in the near-shore zone. The shallow, mediterranean Arctic Ocean is likely to be strongly affected by changes in currently poorly observed arctic coastal dynamics. We present a geomorphological classification scheme for the arctic coast, with 101,447 km of coastline in 1,315 segments. The average rate of erosion for the arctic coast is 0.5 m year −1 with high local and regional variability. Highest rates are observed in the Laptev, East Siberian, and Beaufort Seas. Strong spatial variability in associated database bluff height, ground carbon and ice content, and coastline movement highlights the need to estimate the relative importance of shifting coastal fluxes to the Arctic Ocean at multiple spatial scales.

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Electronic atlas of the Russian Arctic coastal zone

Cited by 19 publications

References 2 publications

Application of Landsat-7 satellite data and a DEM for the quantification of thermokarst-affected terrain types in the periglacial Lena?Anabar coastal lowland

Application of Landsat-7 satellite data and a DEM for the quantification of thermokarst-affected terrain types in the periglacial Lena?Anabar coastal lowland

Regional and landscape-scale variability of Landsat-observed vegetation dynamics in northwest Siberian tundra

The Arctic Coastal Dynamics Database: A New Classification Scheme and Statistics on Arctic Permafrost Coastlines

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