2,764
Views
27
CrossRef citations to date
0
Altmetric
Research Articles

Factors Controlling The Distribution of Mountain Permafrost in The Northern Hemisphere and Their Influence on Sediment Transfer

&
Pages 48-58 | Accepted 01 Sep 2008, Published online: 17 Jan 2018

Figures & data

Figure 1 Sediment cascade system in mountainous areas. The relative importance of the arrows indicating paraglacial sediment fluxes are highly influenced by the ground thermal regime (based on CitationEtzelmüller, 2000).
Figure 1 Sediment cascade system in mountainous areas. The relative importance of the arrows indicating paraglacial sediment fluxes are highly influenced by the ground thermal regime (based on CitationEtzelmüller, 2000).

Figure 2 The figure illustrates the topography variability in the permafrost areas of southern Norway and the Alps. The topographic variation is expressed as the standard deviation of elevation within a 10 km radius from each point (cell in a DEM) in the map. The colored areas denote the areas potentially underlain by permafrost according to CitationBrown et al. (1995). While the mountains of southern Norway are dominated by an elevation standard deviation of below 300 m, the corresponding value for the Alps is above 300 m, with large areas above 500 m. The photographs display the difference of paleic and alpine landscapes, exemplified for southern Norway (Dovrefjell) and Switzerland (Engadin). The dotted line shows the position of the profile of .

Figure 2 The figure illustrates the topography variability in the permafrost areas of southern Norway and the Alps. The topographic variation is expressed as the standard deviation of elevation within a 10 km radius from each point (cell in a DEM) in the map. The colored areas denote the areas potentially underlain by permafrost according to CitationBrown et al. (1995). While the mountains of southern Norway are dominated by an elevation standard deviation of below 300 m, the corresponding value for the Alps is above 300 m, with large areas above 500 m. The photographs display the difference of paleic and alpine landscapes, exemplified for southern Norway (Dovrefjell) and Switzerland (Engadin). The dotted line shows the position of the profile of Figure 3.

Figure 3 Example of the relation between equilibrium line altitude of glaciers (ELA) and lower limit of discontinuous mountain permafrost (MPA) along a west–eastern transect in southern Norway (based on CitationEtzelmüller et al., 2003, modified). The shaded areas denote locations of palsa mires as a morphological expression for sporadic permafrost. The numbers indicate: (1) the zone of dominating glacier coverage, (2) the zone of co-existing glaciers and permafrost, and (3) the zone of periglacial dominance and the absence of glaciers. Jb  =  Jostedalsbreen, SFj  =  Sognefjell, Jh  =  Jotunheimen, Ron  =  Rondane, Tf  =  Tronfjell, Fe  =  Femund area.

Figure 3 Example of the relation between equilibrium line altitude of glaciers (ELA) and lower limit of discontinuous mountain permafrost (MPA) along a west–eastern transect in southern Norway (based on CitationEtzelmüller et al., 2003, modified). The shaded areas denote locations of palsa mires as a morphological expression for sporadic permafrost. The numbers indicate: (1) the zone of dominating glacier coverage, (2) the zone of co-existing glaciers and permafrost, and (3) the zone of periglacial dominance and the absence of glaciers. Jb  =  Jostedalsbreen, SFj  =  Sognefjell, Jh  =  Jotunheimen, Ron  =  Rondane, Tf  =  Tronfjell, Fe  =  Femund area.

Figure 4 Conceptual diagram showing the relation between precipitation (continentality), temperature, glacier equilibrium line altitude (ELA), and permafrost (“cryosphere model,” modified based on CitationHaeberli and Burn, 2002). The shaded area denotes the zone where interactions between glacial processes and permafrost are to be expected. The dashed line marks the approximate transition between cold and warm firn. The dotted line crudely denotes the timberline. The circles indicate areas mentioned in this paper. NM  =  northern Mongolia, EY  =  eastern Yukon, WY  =  western Yukon, WN =  western Norway, EN  =  eastern Norway, FM  =  Finnmark county in northern Norway, IS  =  northern and eastern Iceland, AL  =  Alps. The pictures illustrate the diversity of mountain permafrost settings throughout selected sites in the northern hemisphere.

Figure 4 Conceptual diagram showing the relation between precipitation (continentality), temperature, glacier equilibrium line altitude (ELA), and permafrost (“cryosphere model,” modified based on CitationHaeberli and Burn, 2002). The shaded area denotes the zone where interactions between glacial processes and permafrost are to be expected. The dashed line marks the approximate transition between cold and warm firn. The dotted line crudely denotes the timberline. The circles indicate areas mentioned in this paper. NM  =  northern Mongolia, EY  =  eastern Yukon, WY  =  western Yukon, WN =  western Norway, EN  =  eastern Norway, FM  =  Finnmark county in northern Norway, IS  =  northern and eastern Iceland, AL  =  Alps. The pictures illustrate the diversity of mountain permafrost settings throughout selected sites in the northern hemisphere.

Table 1 Statistical relation between environmental factors and permafrost existence in different mountain settings. The relations are extracted from literature, and mainly based on linear or logistic regression analysis of permafrost proxies (bottom temperature of the snow cover [BTS], rock glaciers) and permafrost existence. ++/−−  =  strong positive or negative statistically significant relation, +/−  =  statistically significant relation, 0  =  weak or no statistical significance.

Figure 5 Conceptual diagram indicating the relation between climate (mean annual air temperatures), permafrost, and landform assemblages in the glacier marginal zone (modified based on CitationEtzelmüller and Hagen, 2005). The numbers on the pictures relate to the numbers on the diagram and display glacier marginal land systems in different ground thermal regimes.
Figure 5 Conceptual diagram indicating the relation between climate (mean annual air temperatures), permafrost, and landform assemblages in the glacier marginal zone (modified based on CitationEtzelmüller and Hagen, 2005). The numbers on the pictures relate to the numbers on the diagram and display glacier marginal land systems in different ground thermal regimes.
Figure 6 Conceptual diagrams illustrating the relation between the paraglacial exhaustion model and the ground thermal regime. (a) Principle of the paraglacial exhaustion model based on CitationChurch and Ryder (1972). The model follows the principles of an impulse-response function, where the impulse is the sediment accumulation due to glaciations, and the response is the evacuation or mobilization of these. (b) Influence of permafrost on the stabilization or weakening of rock walls. (c) Material accumulation due to glaciations in a temperate glacier setting. (d) Same as (c) but under permafrost conditions. (e) Conceptional sediment exhaustion rate of debris-mantled slopes under different ground thermal conditions (from CitationBallantyne 2002). (f) Sediment exhaustion in the case of rapid sediment evacuation due to failure (natural hazard).
Figure 6 Conceptual diagrams illustrating the relation between the paraglacial exhaustion model and the ground thermal regime. (a) Principle of the paraglacial exhaustion model based on CitationChurch and Ryder (1972). The model follows the principles of an impulse-response function, where the impulse is the sediment accumulation due to glaciations, and the response is the evacuation or mobilization of these. (b) Influence of permafrost on the stabilization or weakening of rock walls. (c) Material accumulation due to glaciations in a temperate glacier setting. (d) Same as (c) but under permafrost conditions. (e) Conceptional sediment exhaustion rate of debris-mantled slopes under different ground thermal conditions (from CitationBallantyne 2002). (f) Sediment exhaustion in the case of rapid sediment evacuation due to failure (natural hazard).

Figure 7 Theoretical and simulated exhaustion rates calculated with a time-dependant k(T) from Equation 2. In the “permafrost degradation” case, k changes linearly from 0.1 to 0.25 ka−1 between a certain time period. In the “permafrost aggradation” case, k changes linearly from 0.25 to 0.1 ka−1 .

Figure 7 Theoretical and simulated exhaustion rates calculated with a time-dependant k(T) from Equation 2. In the “permafrost degradation” case, k changes linearly from 0.1 to 0.25 ka−1 between a certain time period. In the “permafrost aggradation” case, k changes linearly from 0.25 to 0.1 ka−1 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.