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Permafrost Landscape Research in the Northeast of Eurasia

Authors:
  • Melnikov Permafrost Institute Siberian Branch RAS, Yakutsk, Russia

Abstract

The results of permafrost landscape studies on northeastern Eurasia are presented in this review. The assessment of permafrost vulnerability to disturbances and global warming was the basis for the development of these studies. The permafrost landscape, considering the morphological features of the landscape and the permafrost together, is a timely object of study. The theoretical developments of Soviet physical geographers and landscape scientists are the basis for permafrost landscape studies. Over the past four decades, numerous permafrost landscape studies have been carried out on northeastern Eurasia (and Russia). Considering the results of these studies is the main objective of this article. The analysis of the problems of permafrost landscape identification, classification, and mapping and the study of their dynamics and evolution after disturbances and long-term development were carried out. Permafrost landscape studies employ the research methods of landscape science and geocryology. Environmental protection and adaptation of socioeconomic conditions to modern climate warming will determine the prospects for studying permafrost landscapes.
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Citation: Fedorov, A.N. Permafrost
Landscape Research in the Northeast
of Eurasia. Earth 2022,3, 460–478.
https://doi.org/10.3390/
earth3010028
Academic Editor: Adriano Ribolini
Received: 31 January 2022
Accepted: 14 March 2022
Published: 18 March 2022
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4.0/).
Review
Permafrost Landscape Research in the Northeast of Eurasia
Alexander N. Fedorov
Melnikov Permafrost Institute, 677010 Yakutsk, Russia; fedorov@mpi.ysn.ru
Abstract:
The results of permafrost landscape studies on northeastern Eurasia are presented in this
review. The assessment of permafrost vulnerability to disturbances and global warming was the
basis for the development of these studies. The permafrost landscape, considering the morphological
features of the landscape and the permafrost together, is a timely object of study. The theoretical
developments of Soviet physical geographers and landscape scientists are the basis for permafrost
landscape studies. Over the past four decades, numerous permafrost landscape studies have been
carried out on northeastern Eurasia (and Russia). Considering the results of these studies is the main
objective of this article. The analysis of the problems of permafrost landscape identification, classifica-
tion, and mapping and the study of their dynamics and evolution after disturbances and long-term
development were carried out. Permafrost landscape studies employ the research methods of land-
scape science and geocryology. Environmental protection and adaptation of socioeconomic conditions
to modern climate warming will determine the prospects for studying permafrost landscapes.
Keywords:
permafrost landscape; classification; mapping; succession; evolution; northeast Eurasia;
Yakutia
1. Introduction
The landscapes of the North are unique natural formations, easily vulnerable, and
slowly restored after disturbance or impact. The cold climate, permafrost, and low biolog-
ical productivity determine the uniqueness of these landscapes. Tumel [
1
], Baranov [
2
],
Kudryavtsev [
3
], and others considered the landscape method to be one of the main meth-
ods of geocryological mapping. They relied on the characteristics of the landscape and
permafrost, which indicated the permafrost conditions.
Studying the relationship between permafrost and landscapes is associated with
protecting the northern environment. The stability of northern landscapes depends on
permafrost conditions [
4
6
]. The ice content and temperature of permafrost, the active
layer depth, and cryogenic processes strongly influence the functioning of landscapes.
The study of integral natural systems characterized by a single state of external and
internal properties determines the theory of the permafrost landscape. Functional links
between the components determine the use of exterior morphological features of landscapes
(mainly combinations of relief and vegetation) as indicators of permafrost conditions. The
indication method is the main method used in engineering geocryology and geocryological
mapping. The indicator properties of the external appearance of the landscape have been
well considered in the works of Tyrtikov [
7
9
], Melnikov et al. [
10
12
], Konstantinova [
13
],
and others.
Landscape indicators are used to study the relationship between relief and per-
mafrost [
14
18
]. Inter-component relationships between vegetation and permafrost, as
well as the temporal variability of permafrost properties, depending on vegetation dynam-
ics, were considered in the works of Tyrtikov [
7
9
], Lazukova [
19
], Moskalenko [
20
22
],
and others.
The theoretical basis of permafrost landscape studies originated in the developments
of Soviet physical geographers and landscape scientists [
23
27
]. Traditional classifications,
mapping techniques, and applied interpretations in landscape studies have not previously
Earth 2022,3, 460–478. https://doi.org/10.3390/earth3010028 https://www.mdpi.com/journal/earth
Earth 2022,3461
used permafrost criteria. Therefore, researchers of permafrost landscapes have used them,
eventually adapting them to the conditions of permafrost based on the goals and objectives
of the research.
For the first time, the taxonomy and classification of permafrost landscapes were com-
piled by Melnikov [
12
,
28
] (pp. 36-57 in ref. [
12
]). The landscape classification hierarchies
and principles of systematization that were established made it possible to successfully
carry out a range of studies in the northern area of Western Siberia [12,29,30].
In recent years, a significant contribution to the development of permafrost landscape
studies and to the study of the dynamics of permafrost conditions has been made by
Drozdov et al. [
31
], Varlamov et al. [
32
], Osadchaya [
33
], Tumel and Zotova [
34
], and others.
This was the beginning of environmental studies in the permafrost zone [3538].
Permafrost landscape studies are in continuous development. The use of new methods
makes it possible to obtain new data on the distribution and evolution of permafrost [
39
42
].
The accumulated experience in studying permafrost landscapes has made it possible to
consider the problematic issues of their classification and functional mapping for assessing
their resistance to anthropogenic impacts.
The permafrost landscape is a relatively homogeneous natural formation that functions
under the influence of cryogenesis, with certain combinations of permafrost characteris-
tics found only in this landscape [
43
]. Permafrost landscapes are an integral part of the
landscape sphere of Earth, where the upper part of the lithosphere is permafrost. The main
factors determining the differentiation and development of permafrost landscapes are cli-
matogenic, lithogenic, biogenic, and anthropogenic factors. The term permafrost landscape
is close in meaning to periglacial landscape [
5
,
44
]. However, periglacial landscapes may
be non-permafrost. Therefore, we use the term permafrost landscape. Permafrost land-
scape identification resembles the classification of permafrost—syngenetic and epigenetic
permafrost [45].
Comprehensive landscape studies, which are the basis for monitoring, modeling, and
forecasting [
46
], are necessary to improve the effectiveness of environmental protection
measures in the field of permafrost distribution. At the same time, the permafrost landscape
acts as an integral indicator of the state of the environment. This is recognized as the main
objective in developing the concept of rational nature management in the permafrost zone.
The purpose of the article is to summarize the methodologies and results of permafrost
and landscape studies carried out in northeastern Eurasia in order to understand the fea-
tures of the natural environment and their dynamics under the influence of anthropogenic
disturbances and the modern impacts of climate change.
2. Materials and Methods
Scientific material on the permafrost and permafrost landscapes of northeastern Eura-
sia has been included in the literature and materials of the Melnikov Permafrost Institute SB
RAS since the 1940s. These materials have considered different scale permafrost maps, the
study of the dynamics of permafrost landforms and temperature regimes, the relationship
between permafrost and taliks, permafrost monitoring, heat balance studies of permafrost
ecosystems, etc. New scientific materials on the composition and properties of permafrost
have appeared, carried out in engineering–geological surveys and monitoring observations
of the permafrost dynamics.
Until the 1980s, geomorphological zoning was used in geocryological surveys to
indicate permafrost conditions [
14
,
47
]. Mapping of the permafrost in mountainous areas
was carried out by considering high-altitude landscape zones [
17
]. These works used
aerial photo interpretation, which became available in the mid-1940s in connection with
continuous topographic mapping of the northeastern USSR.
Landscape studies appeared widely in the 1980s, and they focused on studying the
spatial diversity of permafrost landscapes and their mapping [
48
50
]. The permafrost
characteristic combinations—ice content and ground temperature, active layer thickness,
and cryogenic processes—were mapped using landscapes.
Earth 2022,3462
The cryoindication method is the primary method for identifying permafrost land-
scapes. The study of permafrost landscapes utilizes field surveys and descriptions and
aerial and satellite image interpretation. The taxonomy and classification of permafrost
landscapes in Yakutia have been compiled, considering permafrost criteria [
43
]. Ground
temperature and active layer thickness are used as additional selection criteria in detailed
permafrost landscape studies. In medium-scale studies, cryogenic structure and ice con-
tent are used as selection criteria. In small-scale studies, along with latitudinal-zonal and
altitudinal-zonal soil–plant communities, climatic parameters are used, including freezing
and thawing indices. In recent years, the cryoindication of permafrost conditions has
employed modern methods to interpret satellite images—NDVI, LST, InSAR, and others.
Monitoring observations of the dynamics of permafrost landscapes in northeastern
Eurasia are carried out almost everywhere, but they all have different goals and objectives.
The most complex studies are carried out at stations with meteorological, heat balance, and
permafrost observations (Samoilovsky Island, Tiksi PGO, Spasskaya Pad, Neleger, etc.).
Many monitoring sites prefer studying individual permafrost characteristics or processes;
these include observation sites under the GTN-P and CALM programs, which are part
of global permafrost observation networks. There are also many observation networks
for changes in ground temperature, active layer thickness, surface subsidence due to the
melting of underground ice, etc.
The results of permafrost landscape studies are now used in GIS modeling [
39
41
].
The differentiation of the ground temperature and the active layer thickness in permafrost
landscapes, and the spatial distribution of these important permafrost characteristics were
modeled using the permafrost landscape map of the Yakut ASSR [
51
]. GIS and permafrost
landscape maps have provided the impetus for thematic mapping, and it is possible to
compile special geocryological maps. The interpretation of old aerial photographs and a
retrospective analysis of permafrost landscapes in comparison with modern maps based
on high-resolution satellite images have made it possible to determine the tendencies in the
development of permafrost landscapes [
52
]. Remote sensing methods have made it possible
to map the dynamic state of permafrost landscapes by the age of recovery successions after
wildfires [
53
]. The methodology for mapping permafrost landscapes is also being updated
using new remote sensing methods [54].
Existing modeling experience indicates that cartographic interpretations can be very
useful to researchers for the operational assessment of the permafrost situation, primarily
for specialists working in the permafrost zone. GIS modeling is primarily associated with
assessing the vulnerability of permafrost landscapes to anthropogenic impacts and global
warming. Identification of the main factors of vulnerability of permafrost landscapes—
ice content and ground temperature, the active layer thickness—has made it possible to
determine the most sensitive permafrost landscapes [55].
3. Permafrost Landscapes as an Object of Study
About a quarter of the land surface area is occupied by permafrost landscapes. In
Russia, they occupy about 65% of the territory. These landscapes mainly occupy high-
latitude and high-altitude locations, are distinguished by harsh natural conditions, and are
characterized by the development of specific cryogenic processes and phenomena.
Permafrost landscapes have been the subjects of environmental–geocryological studies
focused on studying territories’ vulnerability to technogenic impacts [
6
,
34
,
49
,
56
59
]. The
development of landscapes often leads to an ecological imbalance once the disturbance
becomes one of our time’s pressing problems.
The study of the main relationships between the components of the natural envi-
ronment is carried out by creating multifactorial models of the environment or integral
systems in the form of a landscape. The landscape is a set of interrelated objects and natural
phenomena representing historically established, continuously developing geographical
complexes [
60
]. In other words, this is a spatially limited set of components united by
Earth 2022,3463
a relatively close interaction [
26
]. Any landscape definition implies a unified system of
morphological (external) and internal (lithogenic) factors.
In permafrost conditions, the development of landscapes and their transformation
or restoration after disturbance largely depends on the properties of the permafrost—
temperature regime, cryogenic structure, ice content, and active layer thickness. The
leading nature of the cryogenic factor in northern landscapes is determined by the specifics
of the environment of the northern regions, primarily the presence of ice in the lithogenic
base and phase transitions during freezing and thawing.
This understanding of the landscape corresponds to modern ideas about geocryolog-
ical systems, which are understood as a special type of geosystem in which energy and
mass transfer lead to the formation and existence of a specific mineral–ice [
61
]. Defining
the role of the cryogenic factor in the functioning and differentiation of the landscapes of
the north requires a certain revision of taxonomy, classification, and mapping methods. In
this regard, permafrost distribution and temperature, cryogenic structure, ice content, and
active layer thickness have been proposed as criteria for the classification and mapping
of permafrost landscapes [
43
]. Close to this definition are the cryogenic geosystems of
Melnikov et al. [62].
Gavrilova [
63
] determined which climatic parameters—the mean annual air tem-
perature, the average temperature of the coldest month, and the freezing and thawing
indices—are characteristic of landscapes of continuous, discontinuous, and sporadic dis-
tribution of permafrost zones. She also indicated the regional features: what climatic
parameters are typical for northern Eurasia, Canada, Alaska, and Fennoscandia, as well as
for the regions of Russia, such as the European territory, western and eastern Siberia, the
mountainous regions of Siberia, and the Far East.
Popov [
64
,
65
] proposed an independent type of lithogenesis–cryolithogenesis, and
Katasonov [
66
] proposed cryolithogenic formations as the basis for identifying permafrost
landscapes by their cryogenic structure and ground ice content (for example, yedoma, alas,
foothill–glacial, etc.). Furthermore, the following criteria can serve as lithological-facies
complexes: homogeneous lithological complexes in sediment composition [67].
Vegetation cover significantly influences the temperature distribution of the permafrost
and active layer thickness. The role of biogenic factors is essential in the functioning and
development of permafrost landscapes. At the present stage of environmental develop-
ment, human influence greatly affects the functioning of landscapes. Technogenic distur-
bances cause the activation of cryogenic processes, leading to restructuring of permafrost
landscapes. Permafrost conditions change significantly in technogenic systems, such as
industrial complexes, reclamation systems, agricultural lands, etc. These complexes belong
to anthropogenic (technogenic) landscapes [68,69].
The relationship between landscape morphological features and permafrost character-
istics is powerful, and this is especially true for the environmental problems of permafrost.
Therefore, the permafrost landscape, which is a complex territorial interweaving of envi-
ronmental components, ensures the equilibrium state of the natural environment in the
permafrost zone or tends to do so after a disturbance.
The permafrost landscape should be characterized by the properties of permafrost. A
distinctive feature of permafrost landscapes is that complexes with different permafrost
characteristics, such as differences in the development of ice wedges or contrasting ground
temperatures (4 or 1C), represent other classification units [43].
Permafrost is the main system-forming factor. Changes in ground temperature and
active layer thickness, ice content, and cryogenic processes determine the state of the
permafrost landscape, which can lead to a loss of stability.
4. Permafrost Landscape Mapping
Normal mapping of permafrost landscapes in northeastern Eurasia began in the 1980s.
However, this was preceded by pre-landscape mapping based on physical–geographical
generalizations; these were geomorphological maps. A classic example of permafrost
Earth 2022,3464
studies based on geomorphological units is Soloviev’s work on the permafrost zone in
Central Yakutia [
14
], which is still in great demand. Ivanov [
18
] used geomorphologi-
cal zoning to assess the distribution of ground ice and the sensitivity of the surface to
anthropogenic impacts.
The ground temperature and permafrost thickness were analyzed by Nekrasov [
17
]
using landscape zonality in northeastern and southern Siberia. The schematic maps of
Nekrasov well reflect the patterns of permafrost distribution in various mountainous areas
of this immense territory.
Grave [
57
] drew up a scheme for zoning the territory of Yakutia according to the degree
of sensitivity of the surface to technogenic impacts. The accumulative plains of the Novosi-
birsk Islands and the Primorskaya lowland, with the development of thick ground ice up to
50–80 m, occupied by tundra and forest–tundra, were classified as highly vulnerable areas.
Plains, foothill and intermountain depressions, plateaus with the development of thick
underground ice up to 40 m with tundra and northern and middle taiga were classified as
moderately sensitive areas. Slightly sensitive areas are developed in mountains and high
plateaus with low ice deposits. The monograph “Surface Disturbance and Its Protection
during the Development of the North” [
6
] became the basis for environmental work in
northeastern Eurasia. The relevance of this work has increased in recent decades because
of the activation of cryogenic processes in the conditions of modern climate warming.
There are works on this topic by geomorphologists [
70
73
], geocryologists [
74
79
],
soil scientists [
80
85
], and botanists [
86
93
]. The physical–geographic zoning studies of
Mikhailov [
94
], Parmuzin [
95
,
96
], Mikheev and Pavlov [
97
], and others created the basis
for modern schemes of permafrost landscape zoning of northeastern Eurasia.
Vasiliev’s monograph, “Regularities of seasonal thawing of soils in Eastern Yaku-
tia” [
48
], is practically a permafrost landscape work, although landscape classifications were
not used. Like previous works, this study of one of the permafrost’s main characteristics—
the active layer’s depth spatial distribution—was carried out based on the physical–
geographic systematics of relief, soils, and vegetation. Compiled by Vasiliev, the “Map
of thawing soils of Eastern Yakutia” at a scale of 1:2,500,000 [
48
], presented as an inset
map to the monograph, is of value for studying permafrost landscapes. The primary
method was the imposition of two layers: geological–genetic complexes with a specific
lithological composition of 23 units and plant groups of 20 units. The map perfectly re-
flects both the latitude-zonal and altitudinal-zonal differentiation of vegetation and the
active layer thickness. This work is considered the first permafrost landscape work on
northeastern Eurasia.
Further permafrost landscape studies were carried out regularly. The monograph
“Permafrost landscapes of the development zone of the Lena-Aldan interfluve” [
49
] became
one of the first significant works on permafrost landscape studies. The monograph was
devoted to frozen landscapes and was written based on two years of field research materials
along the Tommot-Nizhny Bestyakh railway development zone (Yakutsk). The studies
were carried out at the level of terrain types (subtypes), with their identification based
on stratigraphic–genetic complexes (alluvium Q
4
, alluvium Q
2–3
, lacustrine-alluvial Q
2–3
,
eluvial Q
4
, etc.), each with a peculiar complex of ground and vegetation. Ten physical–
geographical regions were distinguished by a relatively homogeneous terrain type (subtype)
combination. Each type (subtype) of terrain in the region was assessed by sensitivity to the
activation of cryogenic processes after disturbances. Attached to the monograph was an
inset map, “Landscape-cryoindication map of the development zone of the Lena-Aldan
interfluve” from Tommot to Yakutsk, with the allocation of types (subtypes) of terrain and
regions with a table of permafrost landscape characteristics.
Earth 2022,3465
In the late 1980s and early 1990s, the Melnikov Permafrost Institute compiled a per-
mafrost and landscape map of the Yakut ASSR at a scale of 1:2,500,000 [
50
], with an
extensive explanatory note [
51
]. The map reflected 22 terrain types in terms of geological
and geomorphological features and 26 types (subtypes) of landscapes in terms of bio-
climatic features. The types of terrain—inter-alas, alas, moraine, outwash, low terrace,
glacier-water-valley, upland, slope, etc.—differed in stratigraphic–genetic complexes, cryo-
genic structures, and volumetric ice content of surface deposits. The types (subtypes) of
landscapes were characterized by relatively similar climate characteristics: freezing and
thawing indices, types of vegetation, and their productivity. Ground temperatures and
active layer thickness were systematized by overlaying the terrain types and landscape
types (subtypes). Thus, each landscape classification unit was characterized by specific
combinations of permafrost parameters. Such a classification showed a close combination
of landscape and permafrost conditions necessary for environmental assessments.
Based on combinations of terrain types and landscape types (subtypes) and geo-
logical and geomorphological structures, the permafrost landscape zoning of the Yakut
ASSR territory was compiled. A total of 54 permafrost landscape provinces were identi-
fied, with relatively homogeneous combinations of terrain types and types (subtypes) of
landscapes in three physiographic regions: central Siberia, northeastern Siberia, and the
mountains of southern Siberia. In addition to methodological descriptions of the map-
ping, the explanatory table contained a landscape cadaster comprising a combination of
geological, geomorphological, soil, and plant characteristics in types of terrain in each
of the 54 permafrost landscape provinces. Thus, the map and the explanatory note have
become reference material for those interested in the permafrost and landscape conditions
of Yakutia.
In addition, many permafrost landscape maps of various scales were compiled for
various developed territories of Yakutia. Map scales varied from detailed (1:5000–1:25,000)
to medium scale (1:100,000–1:300,000) to small scale (1:500,000–1:2,500,000). Large-scale
maps reflected permafrost landscape conditions at the taxonomic level of a facies
[98100]
,
medium-scale maps reflected at the level of terrain types (subtypes) [
101
103
], and small-
scale maps overlaying terrain and landscape types [104].
In 2018, the Melnikov Permafrost Institute team updated the permafrost landscape
map [
50
] to receive new permafrost data based on satellite images and a change in the
mapping technology: the transition to GIS technologies (Figure 1). The new permafrost
landscape map of the Republic of Sakha (Yakutia) at a scale of 1:1,500,000 [
105
] showed
partially change classification, both in types of terrain and in types (subtypes) of landscapes
such as groups of vegetation. The authors identified 20 terrain types. The main difference
was that the types of terrain were not distinguished into plain and mountainous when the
stratigraphic–genetic complexes of surface deposits were the same. Instead of the types
(subtypes) of landscapes, the authors used plant groups to better show the contrast between
ground temperature and the active layer thickness. The total number of vegetation groups
was 36. The map legend shows 145 permafrost landscapes—combinations of terrain types
and plant groups—compared with 87 permafrost landscapes on the 1991 map.
Using GIS technologies, Shestakova et al. [
55
] modeled individual maps of ground
temperature, active layer thickness, ice content of surface deposits (Figure 2), and cryogenic
processes using the permafrost landscape map [
51
]. Previously, permafrost temperature
interpretations had also been modeled based on the permafrost landscape map of the Yakut
ASSR at a scale of 1:2,500,000 [
39
41
]. Along with permafrost landscape maps, permafrost
maps were compiled, which are necessary to determine the degree of vulnerability of
permafrost landscapes. These works include the assessment and sensitivity of carbon
accumulations in the permafrost of northeastern Yakutia [
106
], the assessment of the
stability and degradation of permafrost in eastern Chukotka [
107
,
108
], and maps of yedoma
in northeastern Eurasia and North America [109].
Earth 2022,3466
Earth 2022, 3, 7
Figure 1. Permafrost landscape map of the Republic of Sakha (Yakutia) on a scale of 1:1,500,000
[105].
Figure 1.
Permafrost landscape map of the Republic of Sakha (Yakutia) on a scale of 1:1,500,000 [
105
].
Earth 2022,3467
Earth 2022, 3, 8
Figure 2. Ice content of surface deposits map [55] based on the permafrost landscape map of the
Republic of Sakha (Yakutia) on a scale of 1:1,500,000 [51].
5. Study of the Dynamics and Evolution of Permafrost Landscapes
The study of the dynamics and evolution of permafrost landscapes in northeastern
Eurasia has been widely developed. A characteristic study of the dynamics of permafrost
landscapes is that of the stages of development of thermokarst landforms. The applicabil-
ity of the Yakut names in classifying the stages of thermokarst development was first no-
ticed by Efimov and Grave [110]. They noted that the initial thermokarst subsidence in its
further development turns into “eie”, subsided depressions, where the grooves between
the hillocks are filled with water. The next stage in thermokarst development is the
“duede”—a rounded lake with low but steep banks and high-centered polygons in the
Figure 2.
Ice content of surface deposits map [
55
] based on the permafrost landscape map of the
Republic of Sakha (Yakutia) on a scale of 1:1,500,000 [51].
5. Study of the Dynamics and Evolution of Permafrost Landscapes
The study of the dynamics and evolution of permafrost landscapes in northeastern
Eurasia has been widely developed. A characteristic study of the dynamics of permafrost
landscapes is that of the stages of development of thermokarst landforms. The applicability
of the Yakut names in classifying the stages of thermokarst development was first noticed
by Efimov and Grave [
110
]. They noted that the initial thermokarst subsidence in its
further development turns into “eie”, subsided depressions, where the grooves between
the hillocks are filled with water. The next stage in thermokarst development is the
“duede”—a rounded lake with low but steep banks and high-centered polygons in the
Earth 2022,3468
bottom. Over time, the “duede” turns into a water-filled lake with a flat bottom and steep
banks. The subsided lake eventually turns into an alas.
Later, Soloviev [
14
] supplemented and improved this classification of thermokarst
landforms (Figure 3). He singled out the following stages:
Earth 2022, 3, 9
bottom. Over time, the “duede” turns into a water-filled lake with a flat bottom and steep
banks. The subsided lake eventually turns into an alas.
Later, Soloviev [14] supplemented and improved this classification of thermokarst
landforms (Figure 3). He singled out the following stages:
(a) (b)
(c) (d)
(e)
Figure 3. Stages of thermokarst landforms (Central Yakutia). (a)—bylar, (b)—eie, (c)—duede, (d)—
tympy, (e)—alas.
(1) The initial bylar—slightly lowered areas deformed by separate subsidence holes and
troughs.
(2) Bylar—lowered areas where the troughs connected, forming a high-centered poly-
gon depression.
(3) Eie is a high-centered polygon depression. In the eie, the troughs between the hillocks
are filled with water [110].
(4) Duede is a depression with pronounced banks, with high-centered polygons at the
bottom and banks. Efimov and Grave [110] noted that it is filled with water.
(5) Tympy is the first stage of alas. The underground ice at the bottom of the basin
melted. The floor of the depression is leveled by alas sediments. The depression is
Figure 3.
Stages of thermokarst landforms (Central Yakutia). (
a
)—bylar, (
b
)—eie, (
c
)—duede,
(d)—tympy, (e)—alas.
(1)
The initial bylar—slightly lowered areas deformed by separate subsidence holes
and troughs.
(2)
Bylar—lowered areas where the troughs connected, forming a high-centered poly-
gon depression.
(3) Eie is a high-centered polygon depression. In the eie, the troughs between the hillocks
are filled with water [110].
(4)
Duede is a depression with pronounced banks, with high-centered polygons at the
bottom and banks. Efimov and Grave [110] noted that it is filled with water.
(5) Tympy is the first stage of alas. The underground ice at the bottom of the basin melted.
The floor of the depression is leveled by alas sediments. The depression is sharply
expressed. Usually, tympy is a completely subsided depression with a full lake [
110
].
Earth 2022,3469
(6)
Alas is a depression with a relatively flat, leveled floor and steep, sharply defined
banks. Evaporation of water forms alas from the tympy [110].
We placed the classification of thermokarst landscapes before the formation of alas.
At the same time, Soloviev [
14
] identified the further development of the alas relief from
elementary alas to complex alas, mature alas with bulgunnyakh (pingo), marginal alas,
khonu, and a relict post-alas basin. To this classification, one can add “bajdzherakhs”—
thermokarst-erosion landforms on the slopes of alas (river valleys and seacoasts) formed
when ice wedges thaw. Thanks to the classifications of Efimov and Grave [
110
] and
Soloviev [
14
], we have a coherent dynamic classification of the thermokarst landscape. In
the English language scientific literature, this classification was first described by Czudek
and Demek [111] with reference to Soloviev [112].
Permafrost landscape conditions are used in paleogeographic studies. Here, we can
trace the evolution of landscapes over a long period of development, as some landscape and
climatic conditions have been replaced by others [
113
117
]. During periods of warming
in northeastern Eurasia, larch woodlands with an admixture of spruce developed in the
modern tundra zone. In the contemporary larch middle taiga, larch forests combined with
spruce and pine forests grew. During periods of cooling in central Yakutia, the areas of
yerniks increased, and in Allered (until 11,500 years ago), tundra-steppes dominated.
Based on the work of palaeogeographers, we assessed permafrost conditions during
periods of Holocene warming [
118
]. The optimum ground temperature in the Holocene in
the tundra areas was 5–6.5
C warmer than at present (before the current warming, or before
1980), in the northern taiga by 2.5–4
C, and in the middle taiga by 1.5–2.5
C. In assessing
the evolution of permafrost conditions in eastern Siberia in the Pleistocene–Holocene, one
can be guided by the work of Fotiev [
119
], which is based on the interpretation of the Baikal
chronicle of diatom deposits [120].
Permafrost landscape studies have played a significant role in determining the modern
dynamics of the natural environment during disturbances, primarily during forest fires and
deforestation. Restorative successions after disturbance reflect the restoration of permafrost
conditions. The characteristics of successional stages in the development of permafrost
landscapes and their duration have been determined [
98
,
121
123
]. In central Yakutia, the
complete restoration of the permafrost landscape after disturbance takes 120–130 years.
Detailed studies on the succession’s influence on the active layer thickness in central Yakutia
were carried out by Gabysheva (Lytkina) [
35
,
124
,
125
]. The study of succession stages of
development served as the basis for mapping the dynamic state of permafrost [53].
At the Neleger Station near Yakutsk City in central Yakutia, the Melnikov Permafrost
Institute experimented with clear-cutting a larch forest and studied the initial stage of
restorative succession though a detailed assessment of the dynamics of permafrost con-
ditions [
126
,
127
]. An increase in the productivity of biota serves to restore permafrost
conditions after disturbances and to measure the impact of succession stages on the state
of permafrost landscapes. To assess the aforementioned impact, boreal forests must be
studied [
128
131
]. Our observations in central Yakutia showed that under the conditions
of modern climate warming, successions cause a decrease in permafrost temperature [
123
],
which is quite natural.
Some researchers have noted a weak response of boreal permafrost landscapes to cli-
mate warming through ground temperature and active layer thickness and have attributed
this to the snow accumulation regime [
132
,
133
]. However, in their works, they did not
consider the biological component of the permafrost landscape, which can influence active
layer thickness.
The permafrost landscape features of the territories have impacted the increase in soil
temperature during the current climate warming. Thus, there has been an increase in soil
temperature from average long-term values of 0.5
C in central Yakutia to 2–3
C in Arctic
Yakutia [
134
,
135
]. Such changes have led to the degradation of permafrost landscapes on
ice-rich permafrost (Figure 4). Many researchers have noted the more intense response of
tundra permafrost landscapes, especially in the formation and expansion of thermokarst
Earth 2022,3470
lakes [
136
138
]. Boike et al. [
139
] identified changes in lake areas, vegetation, land surface
temperatures, and the area covered by snow using data from remote sensing. Such changes
will undoubtedly have an impact on the state of permafrost landscapes.
Earth 2022, 3, 11
Arctic Yakutia [134,135]. Such changes have led to the degradation of permafrost land-
scapes on ice-rich permafrost (Figure 4). Many researchers have noted the more intense
response of tundra permafrost landscapes, especially in the formation and expansion of
thermokarst lakes [136–138]. Boike et al. [139] identified changes in lake areas, vegetation,
land surface temperatures, and the area covered by snow using data from remote sensing.
Such changes will undoubtedly have an impact on the state of permafrost landscapes.
(a) (b)
Figure 4. Ice-wedge exposure (a) and abandoned arable land from thermokarst development in the
ice-rich permafrost (b) near the Syrdakh settlement in central Yakutia.
The change in soil and vegetation cover determines the dynamic state of the perma-
frost landscape and the evolution of the environment. It is also essential for predicting the
change in permafrost in the context of global warming.
Lapenis et al. [140] noted that the biomass of green parts (leaves, needles, understory,
and green forest floor) had a steady upward trend from 1960–2000 during modern climate
change. Analysis of satellite data revealed a slight increase in the normalized difference
vegetation index (NDVI) in northern Eurasia. The development of biota productivity can
slow down the increase in ground temperature and active layer thickening in boreal land-
scapes because vegetation cover is a good heat insulator [141,142].
For example, an increase of 158% in tundra sedge meadow productivity in Canada’s
Arctic zone from 1980 to 2005, with an average increase in the mean annual air tempera-
ture by 0.8 °C per decade, resulted in a statistical decrease in the active layer thickness
from 76.8 ± 8.1 cm in the 1980s to 76.1 ± 10.6 cm in 2005 [143]. This explains the stable state
of active layer thickness obtained during the long-term monitoring of permafrost boreal
landscapes in central Yakutia from 1982 to 2012 [32]. A noticeable growth of annual larch
rings during the period of Arctic warming in the 1930s–1940s and a decrease in its growth
rates in the 1940s–1980s [144,145], noted during periods of warming and cooling of the
climate, reflect the impact of changes in biota productivity on the state of permafrost con-
ditions.
Changes in the organic material in permafrost soils are taken into account in geocry-
ological modeling [142]. In Yakutia, experimental work was carried out in the tundra near
the town of Chokurdakh in Yakutia, which found that shrub expansion may reduce per-
mafrost thaw in summer [146]. In the alases of central Yakutia, the temperature regimes
of soils in meadows with different biomasses were determined [147], as well as change
patterns during successions in boreal forests after the disturbance [123].
The stability of permafrost landscapes depends not only on permafrost conditions,
but also on the dynamics and evolution of biota. The widespread activation of forest fires
in northeastern Eurasia during climate warming in recent decades has caused a disruption
of the permafrost temperature regime and the subsequent development of restorative suc-
cessions. Permafrost disturbances cause an imbalance in greenhouse gases, illustrating the
dynamism of changes in permafrost landscapes. In the permafrost landscapes of Yakutia,
Figure 4.
Ice-wedge exposure (
a
) and abandoned arable land from thermokarst development in the
ice-rich permafrost (b) near the Syrdakh settlement in central Yakutia.
The change in soil and vegetation cover determines the dynamic state of the permafrost
landscape and the evolution of the environment. It is also essential for predicting the change
in permafrost in the context of global warming.
Lapenis et al. [
140
] noted that the biomass of green parts (leaves, needles, understory,
and green forest floor) had a steady upward trend from 1960–2000 during modern climate
change. Analysis of satellite data revealed a slight increase in the normalized difference
vegetation index (NDVI) in northern Eurasia. The development of biota productivity
can slow down the increase in ground temperature and active layer thickening in boreal
landscapes because vegetation cover is a good heat insulator [141,142].
For example, an increase of 158% in tundra sedge meadow productivity in Canada’s
Arctic zone from 1980 to 2005, with an average increase in the mean annual air temperature
by 0.8
C per decade, resulted in a statistical decrease in the active layer thickness from
76.8 ±8.1 cm
in the 1980s to 76.1
±
10.6 cm in 2005 [
143
]. This explains the stable state of
active layer thickness obtained during the long-term monitoring of permafrost boreal land-
scapes in central Yakutia from 1982 to 2012 [
32
]. A noticeable growth of annual larch rings
during the period of Arctic warming in the 1930s–1940s and a decrease in its growth rates
in the 1940s–1980s [144,145], noted during periods of warming and cooling of the climate,
reflect the impact of changes in biota productivity on the state of permafrost conditions.
Changes in the organic material in permafrost soils are taken into account in geocry-
ological modeling [
142
]. In Yakutia, experimental work was carried out in the tundra
near the town of Chokurdakh in Yakutia, which found that shrub expansion may reduce
permafrost thaw in summer [
146
]. In the alases of central Yakutia, the temperature regimes
of soils in meadows with different biomasses were determined [
147
], as well as change
patterns during successions in boreal forests after the disturbance [123].
The stability of permafrost landscapes depends not only on permafrost conditions, but
also on the dynamics and evolution of biota. The widespread activation of forest fires in
northeastern Eurasia during climate warming in recent decades has caused a disruption
of the permafrost temperature regime and the subsequent development of restorative
successions. Permafrost disturbances cause an imbalance in greenhouse gases, illustrating
the dynamism of changes in permafrost landscapes. In the permafrost landscapes of
Yakutia, studies are being carried out on both carbon dioxide [
148
151
] and methane
content in permafrost [152154] and their emissions [155159].
Earth 2022,3471
The degradation processes of permafrost and the restoration of native landscapes re-
quire developing adaptation measures to life in these new conditions. Permafrost landscape
studies can benefit this development. Recently, suggestions for permafrost temperature
management by controlled grazing to ensure permafrost sustainability and reduce green-
house gas emissions have attracted interest [147,160162].
6. Summary
Permafrost landscape studies, based on the theoretical developments of Soviet physical
geographers and landscape scientists, have become widespread in Russia. Over the past
four decades, permafrost landscape studies have been carried out widely on northeastern
Eurasia. This review summarizes the main results of these studies. The main conclusions
relate to the development of three directions, the main essence of which is as follows:
(1)
Identifying the permafrost landscape as an object of study complements the theory of
landscape science that was strongly developed in the Soviet Union (later in Russia).
The parameters of the cryogenic factor have been proposed as criteria for identifying
taxonomic units and classifying permafrost landscapes.
(2)
The development of permafrost landscape studies made it possible to create mapping
based on the classification of permafrost landscapes. Different scale permafrost
landscape maps were created that reflected the unity of the morphological parts of the
landscape and permafrost. Permafrost landscape maps are mainly used to identify
patterns of permafrost differentiation in the environmental assessment in the North.
(3)
Permafrost landscapes serve the purpose of illustrating the dynamics and evolution
of permafrost. The successional stages in the development of permafrost landscapes
indicate permafrost dynamics after disturbances; long-term changes in landscapes
relate to permafrost evolution.
Prospects for the study of permafrost landscapes in northeastern Eurasia will primarily
involve an assessment of environmental vulnerability and the adaptation of socioeconomic
conditions to modern climate warming. Understanding the concept of the permafrost
landscape, which connects all the components of the system [
43
], can solve this problem.
To do this, it is first necessary to systematize the available data. Permafrost landscape
zoning has served as the basis for compiling a cadaster of permafrost landscapes [
51
], and
it is now the basis for compiling a database of geocryological data of different scales that
will ensure environmental protection measures and adaptation in conditions of climate
change. Second, we must determine the development trends in permafrost landscapes and
permafrost in general, such as which permafrost landscapes will be the most vulnerable to
modern climate warming and anthropogenic impacts, and whether there are any mecha-
nisms for permafrost conservation. Third, it is important to determine ways of adapting
socioeconomic conditions to changes in permafrost. We see the development of permafrost
landscape research proceeding in these directions.
Funding: This work received no external funding.
Institutional Review Board Statement: Not applicable.
Informed Consent Statement: Not applicable.
Data Availability Statement:
Permafrost landscape maps of the Republic of Sakha (Yakutia) are
available online at https://mpi.ysn.ru/en/publications/maps (accessed on 10 March 2022).
Acknowledgments:
I thank the editors and anonymous reviewers for their helpful comments, which
improved the manuscript.
Conflicts of Interest: The author declares no conflict of interest.
Earth 2022,3472
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... Under modern conditions of climate warming, the degradation of permafrost is affected by an increase in air temperature, a change in precipitation and increased fire activity in the northern territories [31][32][33][34][35][36][37]. Thus, in the continental part of Yakutia, forest fires becoming one of the main factors contributing to the thermokarst degradation of permafrost [33,38,39]. Vegetation cover and soil organic layer can be partially or completely destroyed, because depending on the intensity of fire and leads to an increase in soil temperature and the deepening of active layer [15]. ...
... If the positive temperatures reach ice wedges, then start their melting and soil deformation begin. The main regularities and greatly varying rates of surface changes are associated with complex interactions of factors such as climate, terrain, soil formation, structure of IC, the nature and composition of soil-forming rocks, hydrology, and vegetation, which change over the time [6,30,39]. ...
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Vegetation and soils of the North Taiga zone were studied in natural and thermokarst-disturbed areas of Yana-Adycha interfluve (northeastern Yakutia). Soil research includes a description and physicochemical analysis of samples. The objects of study were selected taking into account the landscape diversity of the area experiencing permafrost melting due to pyrogenic factors under global climate change: young thermokarst and taiga untouched by fires and within the thermokarst basin of early Holocene. It was determined that the permafrost melting is accompanied by the transformation of homogeneous soil cover. After a forest fire, thawing depth increases and occurs redistribution of moisture and water-soluble matters. As a result, on the drier tops of byllars, the formation of albic material under the organogenic horizon is observed in the calcic cambic cryosol, which indicates a fairly fast transformation rate. In depressions, the forest is not recovered. In the mature alas, the vegetation and soil cover has a belt structure, represented by a combination of cryosols, stagnosols, and gleysols. In contrast to the soils of the Central Yakutia alases, there are almost no signs of lacustrine redeposition of soil, which indicates a difference in the processes of alas formation in different parts of the cryolitozone.
... In general, each region of the world has adopted different landscape typology, depending on regional or local characteristics of ecosystems, landscape concepts, and taxonomic organization approaches, or adapted to the needs of land management. On the territory of Yakutia (Eastern Siberia), the concept of permafrost landscapes has long been used in a system with a heuristic structure, divided into horizontal and vertical subsystems according to certain distinctive features inherent in its components [15,16]. One of the unique features of these landscapes is the presence of permafrost, which is reflected in the typology. ...
... There are many studies in the field of landscape structure, change, and dynamics based on the modeling of remote sensing data and GIS-based analysis [13,16,22]. The issues of improving the methods of mapping and modeling remote sensing data are mainly aimed at the accuracy and efficiency of determining the landscape structure and land cover change [24]. ...
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An analysis of the landscape spatial structure and diversity in the mountain ranges of Northeast Siberia is essential to assess how tundra and boreal landscapes may respond to climate change and anthropogenic impacts in the vast mountainous permafrost of the Arctic regions. In addition, a precise landscape map is required for knowledge-based territorial planning and management. In this article, we aimed to explore and enhanced methods to analyse and map the permafrost landscape in Orulgan Ridge. The Google Earth Engine cloud platform was used to generate vegetation cover maps based on multi-fusion classification of Sentinel 2 MSI and Landsat 8 OLI time series data. Phenological features based on the monthly median values of time series Normalized Difference Vegetation Index (NDVI), Green Normalized Difference Vegetation Index (GNDVI), and Normalized Difference Moisture Index (NDMI) were used to recognize geobotanical units according to the hierarchical concept of permafrost landscapes by the Support Vector Machine (SVM) classifier. In addition, geomorphological variables of megarelief (mountains and river valleys) were identified using the GIS-based terrain analysis and landform classification of the ASTER GDEM scenes mosaic. The resulting environmental variables made it possible to categorize nine classes of mountain permafrost landscapes. The result obtained was compared with previous permafrost landscape maps, which revealed a significant difference in distribution and spatial structure of intrazonal valleys and mountain tundra landscapes. Analysis of the landscape structure revealed a significant distribution of classes of mountain Larix-sparse forests and tundra. Landscape diversity was described by six longitudinal and latitudinal landscape hypsometric profiles. River valleys allow boreal–taiga landscapes to move up to high-mountainous regions. The features of the landscape structure and diversity of the ridge are noted, which, along with the specific spatial organization of vegetation and relief, can be of key importance for environmental monitoring and the study of regional variability of climatic changes.
... al. , holloway et al. 2020, Fedorov 2022). Its meaning is variable, in the same way as the term periglacial and it refers either to the geological conditions of the area in question or to its relief (French 2007). ...
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This paper describes the foundations of the periglacial concept beginning from the introduction of this term by Łoziński in 1909 and 1912. Its etymology along with the meaning and definitions that change over time are analysed in the present paper. Originally derived from geology, periglacial now functions as a geomorphological term. It has been compared with other terms used in the characterisation of cold geographical environments; the role of freezing and ice has been especially emphasised for periglaciology, and the most important types of ice have been highlighted. The present paper aims to show that with the increasing specialisation of research and the evolution of the meaning of the term periglacial, it is still seen as playing an important integrating role. The relation of the periglacial environment and ice to the glacial environment is also presented, showing the places of mutual overlapping of both environments. Old and newly introduced terms related to this concept such as periglacial facies, periglacial landscape, paraglacial, and cryo-conditioning are critically assessed. Finally, a short description of the permafrost in Poland, occurring in two remote and specific places, is presented: the active mountain permafrost covering the alpine belt of the Tatra Mountains about 1900 m a.s.l. and the relict permafrost in the Suwałki area, located in the northern lowland of Poland at a depth of 357 m and below.
... Central Yakutia, within the Republic of Sakha (Yakutia), the largest administrative unit in eastern Siberia, is characterized by its vast larch forests, underlain by continuous permafrost, and its common and culturally important thermokarst basin landforms (alaas; Crate et al. 2017, Fedorov 2022. The forest is dominated by the deciduous Dahurian larch. ...
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Background: Wildfires are recognized as an important ecological component of larch-dominated boreal forests in eastern Siberia. However, long-term fire-vegetation dynamics in this unique environment are poorly understood. Recent paleoecological research suggests that intensifying fire regimes may induce millennial-scale shifts in forest structure and composition. This may, in turn, result in positive feedback on intensifying wildfires and permafrost degradation, apart from threatening human livelihoods. Most common fire-vegetation models do not explicitly include detailed individual-based tree population dynamics, but a focus on patterns of forest structure emerging from interactions among individual trees may provide a beneficial perspective on the impacts of changing fire regimes in eastern Siberia. To simulate these impacts on forest structure at millennial timescales, we apply the individual-based, spatially explicit vegetation model LAVESI-FIRE, expanded with a new fire module. Satellite-based fire observations along with fieldwork data were used to inform the implementation of wildfire occurrence and adjust model parameters. Results: Simulations of annual forest development and wildfire activity at a study site in the Republic of Sakha (Yakutia) since the Last Glacial Maximum (c. 20,000 years BP) highlight the variable impacts of fire regimes on forest structure throughout time. Modeled annual fire probability and subsequent burned area in the Holocene compare well with a local reconstruction of charcoal influx in lake sediments. Wildfires can be followed by different forest regeneration pathways, depending on fire frequency and intensity and the pre-fire forest conditions. We find that medium intensity wildfires at fire return intervals of 50 years or more benefit the dominance of fire-resisting Dahurian larch (Larix gmelinii (Rupr.) Rupr.), while stand-replacing fires tend to enable the establishment of evergreen conifers. Apart from post-fire mortality, wildfires modulate forest development mainly through competition effects and a reduction of the model’s litter layer. Conclusion: With its fine-scale population dynamics, LAVESI-FIRE can serve as a highly localized, spatially explicit tool to understand the long-term impacts of boreal wildfires on forest structure and to better constrain interpretations of paleoecological reconstructions of fire activity.
... Согласно схеме мерзлотно-ландшафтного районирования Северо-Восточной Сибири [21] , территория участка исследования относится к О ленёкско-Вилюйской полого-увалистой североредколесной ландшафтной провинции. Температура многолетнемёрзлых пород в этом районе составляет, по разным данным, от -6 до -3°C [21] и от -2 до -4 °C [22] , объёмная льдистость этих пород -от < 0,2 до 0,4 % [22,23,25] . Мощность сезонно-талого слоя (СТ С) мерзлотных почв варьируют в зависимости от механического состава: торфяной покров оттаивает наименее глубоко -минимальные глубины не превышают 0,5 м, тогда как минимальные глубины сезонного оттаивания песчаных, супесчаных и суглинистых отложений начинаются от 1,5 м (суглинки) и достигают мощности 4,1 м (пески) [23] . ...
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The object of the study is the isotope composition of three aufeis (icing) in the Viluy River basin. Two of the three tested icing were located in the wide valleys of the streams-tributaries of the Viluy River, one on the flat bottom of the thermosuffusion sinkholes. The areas of studied icings did not exceed 30 sq. m., their thickness ranges from 45 to 100 cm. Stratification is recorded in the icings. The co-isotope diagram δ2H-δ18O shows that icing ice was formed from spring water and generally is isotopically “lighter” compared to the water of Kysyl-Yurekh stream and Viluy River. The isotope composition of the icing ice varies in a very narrow range: a) for icing 1 δ18O values vary from -19.3 to -20.9‰, δ2H values vary from -156.5 to -162.9‰; b) for icing 2 δ18O values vary from -19.7 to -22.4‰, δ2H values vary from -153.2 to -173.1‰; c) for icing 3 δ18O values vary from -19.8 to -22.7‰, δ2H values vary from -162.9 to -181.3‰. The similarity of the isotope profiles of icing 2 on Viluy and icing IB93-5 on Baylot Island and isotope profiles of icing 3 on Viluy and icing F192-6 on Baylot Island was noted, however, the scale of isotopic variations for icings on Baylot Island are 5-6 times greater than that of Viluy icings.
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The catastrophic wildfires that occurred in Central Yakutia in 2021 resulted in extensive forest destruction, leading to the complete incineration of significant forested areas. This devastation has caused the loss of tree stands and the degradation of forest litter, as well as the upper organic layers of the soil. Consequently, there has been a substantial alteration in the water-temperature regime of permafrost soils, which are formed under permafrost conditions. The objective of this study is to investigate the impact of these fires on the morphological, physical, and chemical characteristics of pale soils during the initial years following the fire event, specifically after the destruction of the tree stand and the combustion of the litter and organic soil layers. This research primarily focuses on pale, slightly solodized soils located within the larch forests of the Lena-Vilyui watershed. This research presents comprehensive insights into vegetation and the morphogenetic characteristics of soil profiles, alongside the parameterization of various soil properties, including field moisture, humus content, loss on ignition, , reactions of the soil environment, exchangeable base quantities, and granulometric composition. The findings indicate that the deposition of combustion byproducts, specifically in the form of ash, results in soil alkalization, which is associated with a marked decrease in organic carbon levels within the surface strata. Notably, the morphological characteristics of soils in the control area exhibit significant differences compared to those in the burned region; a thin pyrogenic layer with minimal screening effects has developed in the burned region, soil mixing processes have become more pronounced, and the natural horizontal boundaries of soil horizons have been disrupted. The degradation of heat-insulating ground cover and organic matter contributes to substantial soil heating, leading to elevated soil mass temperatures and an extended seasonal thaw. The thawing of upper permafrost layers and the release of previously sequestered moisture result in soil saturation, which, upon winter freeze, triggers cryoturbation. In contrast, soils that have not experienced fire exhibit only a weak expression of permafrost mixing within the soil profile. Furthermore, the temporary waterlogging of poorly drained soils in the initial years post-fire exacerbates tree.
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The assessment of carbon stocks in the litter and soil of highly productive forests on the Prilenskoe Plateau was conducted using widely accepted methods of general biology, landscape science and geocryology. The research focused on larch-birch and pine-larch forests situated on continuous permafrost, as well as on long-term fallow lands. Notably, the fallow land, in contrast to the forested areas, exhibited a significant loss of organic carbon from the soil, amounting to up to 83 % within a 30 cm depth due to the exploitation of forest resources. The total organic carbon (TOC) reserves in the forest litter ranged from 17 to 35 kg/m². In the larch-birch forb-lingonberry forest, the TOC reserves in the soil were measured at 19.57 kg/m² for the 0–30 cm layer, 26.79 kg/m² at 1 m depth, and 34.98 kg/m² at 2 m depth. Conversely, in the pine-larch lingonberry forest, these values decreased to 9.28 kg/m², 15.41 kg/m², and 18.91 kg/m², respectively, while in the fallow land, the measurements were 3.37 kg/m², 6.35 kg/m², and 8.91 kg/m². The total inorganic carbon (TIC) reserves in the active layer of the larch-birch forest were found to be 3.46 kg/m², in the pine-larch lingonberry forest 5.81 kg/m², and in the fallow land 4.35 kg/m². The forests of South-Eastern Yakutia represent an essential component of the global carbon reservoir; however, they may lose their nutrient accumulation function under anthropogenic pressures. This study serves as the preliminary phase of a long-term research initiative aimed at systematizing carbon pools in representative permafrost landscapes of Yakutia and elucidating the patterns of carbon variation across diverse natural and climatic zones
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Ongoing active development of natural resources, changing climatic conditions (including permafrost melting) In Eastern Siberia, it is necessary to control changes in the ecological state of the environment, one of which is surface water. The Roshydromet system has established and successfully operates a network of regime observations of the state and pollution of surface waters of the Russian Federation, ensuring the unity of measurement of the content of major pollutants in water according to uniform methods certified in accordance with the requirements of regulatory documents of the Russian Federation and international standards. In this paper, the formation of the quality of the surface waters of the Lena River basin under conditions of non–stationary climatic processes on the one hand and the anthropogenic component on the other is considered. Based on the analysis of statistically processed long–term data (2011-2021) obtained by the state monitoring network of Roshydromet, an assessment of the water quality of the Lena River and its major tributaries - the Vitim, Olekma, Aldan, Vilyu rivers is given. The spatio-temporal distribution of characteristic pollutants in the water of the rivers of the basin has been studied: organic substances (according to BPK5 and COD), phenols, petroleum products, iron, copper and zinc compounds. It was found that in the conditions of the Arctic climate, the seasonal distribution of organic substances in surface waters was insignificant. The presence of heavy metal compounds in the water of the Lena River basin water bodies is mainly due to anthropogenic sources of pollution. In the long-term plan, the water of the rivers of the Lena River basin was assessed as the 3rd satisfactory quality class.
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In Central Yakutia (Siberia) livelihoods of local communities depend on alaas (thermokarst depression) landscapes and the lakes within. Development and dynamics of these alaas lakes are closely connected to climate change, permafrost thawing, catchment conditions, and land use. To reconstruct lake development throughout the Holocene we analyze sedimentary ancient DNA (sedaDNA) and biogeochemistry from a sediment core from Lake Satagay, spanning the last c. 10,800 calibrated years before present (cal yrs BP). SedaDNA of diatoms and macrophytes and microfossil diatom analysis reveal lake formation earlier than 10,700 cal yrs BP. The sedaDNA approach detected 42 amplicon sequence variants (ASVs) of diatom taxa, one ASV of Eustigmatophyceae (Nannochloropsis), and 12 ASVs of macrophytes. We relate diatom and macrophyte community changes to climate-driven shifts in water level and mineral and organic input, which result in variable water conductivity, in-lake productivity, and sediment deposition. We detect a higher lake level and water conductivity in the Early Holocene (c. 10,700–7000 cal yrs BP) compared to other periods, supported by the dominance of Stephanodiscus sp. and Stuckenia pectinata. Further climate warming towards the Mid-Holocene (7000–4700 cal yrs BP) led to a shallowing of Lake Satagay, an increase of the submerged macrophyte Ceratophyllum, and a decline of planktonic diatoms. In the Late Holocene (c. 4700 cal yrs BP–present) stable shallow water conditions are confirmed by small fragilarioid and staurosiroid diatoms dominating the lake. Lake Satagay has not yet reached the final stage of alaas development, but satellite imagery shows an intensification of anthropogenic land use, which in combination with future warming will likely result in a rapid desiccation of the lake.
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Ice-rich permafrost in the circum-Arctic and sub-Arctic (hereafter pan-Arctic), such as late Pleistocene Yedoma, are especially prone to degradation due to climate change or human activity. When Yedoma deposits thaw, large amounts of frozen organic matter and biogeochemically relevant elements return into current biogeochemical cycles. This mobilization of elements has local and global implications: increased thaw in thermokarst or thermal erosion settings enhances greenhouse gas fluxes from permafrost regions. In addition, this ice-rich ground is of special concern for infrastructure stability as the terrain surface settles along with thawing. Finally, understanding the distribution of the Yedoma domain area provides a window into the Pleistocene past and allows reconstruction of Ice Age environmental conditions and past mammoth-steppe landscapes. Therefore, a detailed assessment of the current pan-Arctic Yedoma coverage is of importance to estimate its potential contribution to permafrost-climate feedbacks, assess infrastructure vulnerabilities, and understand past environmental and permafrost dynamics. Building on previous mapping efforts, the objective of this paper is to compile the first digital pan-Arctic Yedoma map and spatial database of Yedoma coverage. Therefore, we 1) synthesized, analyzed, and digitized geological and stratigraphical maps allowing identification of Yedoma occurrence at all available scales, and 2) compiled field data and expert knowledge for creating Yedoma map confidence classes. We used GIS-techniques to vectorize maps and harmonize site information based on expert knowledge. We included a range of attributes for Yedoma areas based on lithological and stratigraphic information from the source maps and assigned three different confidence levels of the presence of Yedoma (confirmed, likely, or uncertain). Using a spatial buffer of 20 km around mapped Yedoma occurrences, we derived an extent of the Yedoma domain. Our result is a vector-based map of the current pan-Arctic Yedoma domain that covers approximately 2,587,000 km², whereas Yedoma deposits are found within 480,000 km² of this region. We estimate that 35% of the total Yedoma area today is located in the tundra zone, and 65% in the taiga zone. With this Yedoma mapping, we outlined the substantial spatial extent of late Pleistocene Yedoma deposits and created a unique pan-Arctic dataset including confidence estimates.
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The risk of carbon emissions from permafrost ground is linked to ground temperature and thus in particular to thermal insulation by vegetation and organic soil layers in summer and snow cover in winter. This ground insulation is strongly influenced by the presence of large herbivorous animals browsing for food. In this study, we examine the potential impact of large herbivore presence on the ground carbon storage in thermokarst landscapes of northeastern Siberia. Our aim is to understand how intensive animal grazing may affect permafrost thaw and hence organic matter decomposition, leading to different ground carbon storage, which is significant in the active layer. Therefore, we analysed sites with differing large herbivore grazing intensity in the Pleistocene Park near Chersky and measured maximum thaw depth, total organic carbon content and decomposition state by δ13C isotope analysis. In addition, we determined sediment grain size composition as well as ice and water content. We found the thaw depth to be shallower and carbon storage to be higher in intensively grazed areas compared to extensively and non-grazed sites in the same thermokarst basin. The intensive grazing presumably leads to a more stable thermal ground regime and thus to increased carbon storage in the thermokarst deposits and active layer. However, the high carbon content found within the upper 20 cm on intensively grazed sites could also indicate higher carbon input rather than reduced decomposition, which requires further studies. We connect our findings to more animal trampling in winter, which causes snow disturbance and cooler winter ground temperatures during the average annual 225 days below freezing. This winter cooling overcompensates ground warming due to the lower insulation associated with shorter heavily grazed vegetation during the average annual 140 thaw days. We conclude that intensive grazing influences the carbon storage capacities of permafrost areas and hence might be an actively manageable instrument to reduce net carbon emission from these sites.
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The purpose of this article was to compile four separate digital thematic maps of temperature and ice content of permafrost, the active layer thickness, and cryogenic processes in Yakutia as a basis for assessing changes to modern climate changes and anthropogenic disturbances. In this work, materials on permafrost were used, serving as the basis for compiling a permafrost landscape map of the Republic of Sakha (Yakutia). The maps were compiled using ArcGIS software, which supports attribute table mapping. The ground temperature and active layer thickness maps reflected landscape zonality and regional differences. Peculiarities of genetic types of Quaternary deposits and climatic conditions reflected the ice content of surface sediments and cryogenic process distribution maps. One of the most common is ground temperatures from −2.1 to −4.0 °C, which were found to occupy about 37.4% of the territory of Yakutia. More than half of the region was found to be occupied by permafrost landscapes with a limited thickness of the active layer up to 1.1 m. Ice-rich permafrost (more than 0.4 in ice content) was found to be typical for about 40% of the territory. Thermokarst is the most hazardous process that occurs in half of Yakutia.
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Permafrost landscapes are particularly susceptible to the observed climate change due to the presence of ice in the ground. This paper presents the results of the mapping and assessment of landscapes and their vulnerability to potential human impact and further climate change in the remote region of Eastern Chukotka. The combination of field studies and remote sensing data analysis allowed us to identify the distribution of landscapes within the study polygon, reveal the factors determining their stability, and classify them by vulnerability to the external impacts using a hazard index, H. In total, 33 landscapes characterized by unique combinations of vegetation cover, soil type, relief, and ground composition were detected within the 172 km2 study polygon. The most stable landscapes of the study polygon occupy 31.7% of the polygon area; they are the slopes and tops of mountains covered with stony-lichen tundra, alpine meadows, and the leveled summit areas of the fourth glacial-marine terrace. The most unstable areas cover 19.2% of the study area and are represented by depressions, drainage hollows, waterlogged areas, and places of caterpillar vehicle passage within the terraces and water-glacial plain. The methods of assessment and mapping of the landscape vulnerability presented in this study are quite flexible and can be adapted to other permafrost regions.
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Uncertainties about landscape evolution under cold, nonglacial conditions raise a question fundamental to periglacial geomorphology: what and where are periglacial landscapes? To answer this, with an emphasis on lowland periglacial areas, the present study distinguishes between characteristic and polygenetic periglacial landscapes, and considers how complete is the footprint of periglaciation? Using a conceptual framework of landscape sensitivity and change, the study applies four geological criteria (periglacial persistence, extraglacial regions, ice‐rich substrates, and aggradation of sediment and permafrost) through the last 3.5 million years of the late Cenozoic to identify permafrost regions in the Northern Hemisphere. In limited areas of unglaciated permafrost regions are characteristic periglacial landscapes whose morphology has been adjusted essentially to present (i.e., Holocene interglacial) process conditions, namely thermokarst landscapes, and mixed periglacial–alluvial and periglacial–deltaic landscapes. More widespread in past and present permafrost regions are polygenetic periglacial landscapes, which inherit ancient landsurfaces on which periglacial landforms are superimposed to varying degrees, presently or previously. Such landscapes comprise relict accumulation plains and aprons, frost‐susceptible and nonfrost‐susceptible terrains, cryopediments, and glacial–periglacial landscapes. Periglaciation can produce topographic fingerprints at mesospatial scales (10³–10⁵ m): (1) relict accumulation plains and aprons form where long‐term sedimentation buried landsurfaces; and (2) plateaux with convexo–concave hillslopes and inset with valleys, formed by bedrock brecciation, mass wasting, and stream incision in frost‐susceptible terrain.
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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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The observed global warming has significant impacts on permafrost. Permafrost changes modify landscapes and cause damage to infrastructure. The main purpose of this study was to estimate permafrost temperatures and active-layer thicknesses during the Holocene intervals with significantly warmer-than-present climates—the Atlantic (5500 years BP), Subboreal (3500 years BP) and Subatlantic (1000 years BP) optimums. Estimates were obtained using the ready-to-use models derived by G.M. Feldman, as well as mathematical modeling taking account of the paleogeography of the Holocene warm intervals. The data obtained were analyzed to reveal the regional patterns of warming impacts on different permafrost landscapes. The study results will be useful in predicting future permafrost changes in response to climate warming.
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There are numerous studies on the effect of grazing on the physical and chemical parameters of soils. However, the impact of grazing on the temperature regime of the alas soils in Central Yakutia is still poorly understood. This paper presents the results of long-term observations of the state of the soil-and-plant cover of thermokarst basins—i.e., alases—located in the Lena-Amga interfluve and actively used as pastureland. Observations of the process of the self-restoration of grass cover and changes in the temperature regime of alas soils were carried out on different variants (with isolation from grazing and without isolation). A significant increase in the average height of the grass stand and its foliage projective cover was observed with a gradual reduction in the number of species when isolated from grazing. Changes in the structure of the alas vegetation cover influence the microclimate of the soil. As a result of livestock grazing, the mean annual soil temperature rises and the amount and depth of the penetration of active temperatures increase. The most severe changes in the temperature regime occur in years with an abnormally high cover of snow. The soil warming observed during grazing undoubtedly has a favorable effect on soil organisms. However, in conditions of climate warming, grazing, especially overgrazing, can disrupt the permafrost regime and thereby provoke or intensify thermokarst phenomena.
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The most massive and fast-eroding thaw slump of the Northern Hemisphere located in the Yana Uplands of Northern Yakutia was investigated to assess in detail the cryogenic inventory and carbon pools of two distinctive Ice Complex stratigraphic units and the uppermost cover deposits. Differentiating into modern and Holocene near-surface layers (active layer and shielding layer), highest total carbon contents were found in the active layer (18.72 kg m−2), while the shielding layer yielded a much lower carbon content of 1.81 kg m−2. The late Pleistocene upper Ice Complex contained 10.34 kg m−2 total carbon, and the mid-Pleistocene lower Ice Complex 17.66 kg m−2. The proportion of organic carbon from total carbon content is well above 70% in all studied units with 94% in the active layer, 73% in the shielding layer, 83% in the upper Ice Complex and 79% in the lower Ice Complex. Inorganic carbon is low in the overall structure of the deposits.