Exploring near-surface ground ice distribution in patterned-ground tundracorrelations with topography, soil and vegetation: correlations with topography, soil and vegetation

Peng Wang*, Judith de Jager, Ake Nauta, Jacobus van Huissteden, Maximov C. Trofim, Juul Limpens

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Aims: For informed predictions on the sensitivity of Arctic tundra landscape to permafrost thaw, we aimed to investigate the distribution pattern of near-surface ground ice and its influencing factors in Northeast Siberia. Methods: Near-surface permafrost cores (60 cm) were sampled along small-scale topographic gradients in two drained lakebeds. We investigated which factors (vegetation, hydrological and soil) correlated strongest with ice content and explored its spatial heterogeneity at different scales (1 to 100 m). Results: The ice content was highest in the depressions of the wet lakebed and lowest at the slopes of the dry lakebed. In the wet lakebed the ice content increased with depth, while in the dry lakebed the vertical distribution depended on topographical position. Spatial variability in ice content was similar at different scales, stressing strong influence of local drivers. 0–60 cm ice content correlated strongest with soil moisture of the overlying unfrozen soil, while 0–20 cm ice content correlated strongest with vegetation characteristics. Conclusions: Our study implies that vegetation effect on microclimate is strong enough to affect near-surface ice distribution, and that ice-rich tundra may be highly sensitive to thaw once climate warming offsets the protective impact of vegetation.

Original languageEnglish
Pages (from-to)251-265
Number of pages15
JournalPlant and Soil
Volume444
Issue number1-2
Early online date28 Aug 2019
DOIs
Publication statusPublished - Nov 2019

Fingerprint

patterned ground
topography
ice
vegetation
soil
permafrost
tundra
distribution
Siberia
microclimate
global warming
vertical distribution
warming
soil moisture
soil water

Keywords

  • Arctic tundra
  • Ground ice
  • Permafrost degradation
  • Polygon
  • Thaw depth
  • Vegetation

Cite this

Wang, Peng ; de Jager, Judith ; Nauta, Ake ; van Huissteden, Jacobus ; Trofim, Maximov C. ; Limpens, Juul. / Exploring near-surface ground ice distribution in patterned-ground tundracorrelations with topography, soil and vegetation: correlations with topography, soil and vegetation. In: Plant and Soil. 2019 ; Vol. 444, No. 1-2. pp. 251-265.
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abstract = "Aims: For informed predictions on the sensitivity of Arctic tundra landscape to permafrost thaw, we aimed to investigate the distribution pattern of near-surface ground ice and its influencing factors in Northeast Siberia. Methods: Near-surface permafrost cores (60 cm) were sampled along small-scale topographic gradients in two drained lakebeds. We investigated which factors (vegetation, hydrological and soil) correlated strongest with ice content and explored its spatial heterogeneity at different scales (1 to 100 m). Results: The ice content was highest in the depressions of the wet lakebed and lowest at the slopes of the dry lakebed. In the wet lakebed the ice content increased with depth, while in the dry lakebed the vertical distribution depended on topographical position. Spatial variability in ice content was similar at different scales, stressing strong influence of local drivers. 0–60 cm ice content correlated strongest with soil moisture of the overlying unfrozen soil, while 0–20 cm ice content correlated strongest with vegetation characteristics. Conclusions: Our study implies that vegetation effect on microclimate is strong enough to affect near-surface ice distribution, and that ice-rich tundra may be highly sensitive to thaw once climate warming offsets the protective impact of vegetation.",
keywords = "Arctic tundra, Ground ice, Permafrost degradation, Polygon, Thaw depth, Vegetation",
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Exploring near-surface ground ice distribution in patterned-ground tundracorrelations with topography, soil and vegetation: correlations with topography, soil and vegetation. / Wang, Peng; de Jager, Judith; Nauta, Ake; van Huissteden, Jacobus; Trofim, Maximov C.; Limpens, Juul.

In: Plant and Soil, Vol. 444, No. 1-2, 11.2019, p. 251-265.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Wang, Peng

AU - de Jager, Judith

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AU - van Huissteden, Jacobus

AU - Trofim, Maximov C.

AU - Limpens, Juul

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N2 - Aims: For informed predictions on the sensitivity of Arctic tundra landscape to permafrost thaw, we aimed to investigate the distribution pattern of near-surface ground ice and its influencing factors in Northeast Siberia. Methods: Near-surface permafrost cores (60 cm) were sampled along small-scale topographic gradients in two drained lakebeds. We investigated which factors (vegetation, hydrological and soil) correlated strongest with ice content and explored its spatial heterogeneity at different scales (1 to 100 m). Results: The ice content was highest in the depressions of the wet lakebed and lowest at the slopes of the dry lakebed. In the wet lakebed the ice content increased with depth, while in the dry lakebed the vertical distribution depended on topographical position. Spatial variability in ice content was similar at different scales, stressing strong influence of local drivers. 0–60 cm ice content correlated strongest with soil moisture of the overlying unfrozen soil, while 0–20 cm ice content correlated strongest with vegetation characteristics. Conclusions: Our study implies that vegetation effect on microclimate is strong enough to affect near-surface ice distribution, and that ice-rich tundra may be highly sensitive to thaw once climate warming offsets the protective impact of vegetation.

AB - Aims: For informed predictions on the sensitivity of Arctic tundra landscape to permafrost thaw, we aimed to investigate the distribution pattern of near-surface ground ice and its influencing factors in Northeast Siberia. Methods: Near-surface permafrost cores (60 cm) were sampled along small-scale topographic gradients in two drained lakebeds. We investigated which factors (vegetation, hydrological and soil) correlated strongest with ice content and explored its spatial heterogeneity at different scales (1 to 100 m). Results: The ice content was highest in the depressions of the wet lakebed and lowest at the slopes of the dry lakebed. In the wet lakebed the ice content increased with depth, while in the dry lakebed the vertical distribution depended on topographical position. Spatial variability in ice content was similar at different scales, stressing strong influence of local drivers. 0–60 cm ice content correlated strongest with soil moisture of the overlying unfrozen soil, while 0–20 cm ice content correlated strongest with vegetation characteristics. Conclusions: Our study implies that vegetation effect on microclimate is strong enough to affect near-surface ice distribution, and that ice-rich tundra may be highly sensitive to thaw once climate warming offsets the protective impact of vegetation.

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