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Umbrisols at Lower Altitudes, Case Study from Borská lowland (Slovakia)

  • Marián Jenčo EMAIL logo , Igor Matečný , René Putiška , Libor Burian , Kristína Tančárová and Dávid Kušnirák
Published/Copyright: May 19, 2018
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Abstract

Umbrisols generally develop in a cool and humid climate. Therefore, occurrence of these soils in the Borská lowland of southwestern Slovakia is very uncommon, and this inspired the aim of this paper: Analysis of the natural conditions suitable for Umbrisol development. Umbrisols in the Borská lowland developed from aeolian quartz sands accumulated on Neogenne marine clay sediments. Their occurrence is connected with the groundwater table relatively close to the ground surface and this particularly determines Umbrisol genesis in this area. Sufficient input via organic matter is an important factor for formation of the umbric horizon, and only the rich herbaceous undergrowth of the prevailing planted pine and mixed pine-oak forests is capable of providing it. A growth of diep-rooted grass is closely connected with higher soil moisture content, and quite moist areas occur in the deeper inter-dunes depressions. Constant soil moisture in these sites is facilitated by water capillary elevation. While Umbrisols are transformed to Arenosols at increased altitude, they can be transformed to Gleysols in deep depressions. Herein, induced polarization provided suitable geophysical method for detection of arenic Umbrisol inclusions. Sharp transformation of the humus layer to dry non-polarized aeolian quartz sands enabled the surface horizon to be distinguished by induced polarization

1 Introduction

Umbrisols have a thick mineral surface horizon rich in dark organic matter and low base saturation somewhere within the first metre [1]. These soils are frequently associated with acidic and strongly-leached basic parent material and they generally develop in a cool and humid climate; especially in mountainous regions with high rainfall and extensive leaching [2]. The formation of Umbrisols therefore requires an accumulation of organic matter which is significantly present in areas with abundant plant cover. Umbrisols have umbric, mollic or hortic horizon.

Umbrisols with mollic or hortic horizon are outside the scope of the present paper. Umbric horizon has the following characteristics; the horizon must be at least 20cm thick and have ≥ 0.6% soil organic carbon (SOC); a Munsell colour value of ≤ 3 moist and ≤ 5 dry and a chroma of ≤ 3 moist and a base saturation of < 50% on weighted average, by 1 M NH4OAc at pH 7 [1]. The soil reaction is also crucial for field identification, because most umbric horizons have a maximum acidic soil reaction (pHwater) of 5.5 which provides base saturation under 50%.

The World Reference Base for Soil Resources 2014 (WRB) lists several soils with umbric horizon which are classified under Umbric, not Umbrisol. These include Stagnosols, Planosols, Podzols and Gleysols [1]. The majority of soils currently classified as Umbrisols were classed Humic Cambisols in the 1974 FAO–Unesco soil map, and this classification is complemented by the soil unit of Umbric Regosols [3]. Humic Cambisols have an umbric surface horizon thicker than 25 cm when a sub-surface cambic horizon is absent [4]. Interestingly, although the umbric horizon (epipedon) also exists in the U.S. Soil Taxonomy, this system does not have a corresponding Soil Order, and the majority of Umbrisols there are classified as Entisols or Inceptisols [5].

Many studies have described the global occurrence of Umbrisols and soils with an umbric horizon [6,7,8]. Umbrisols dominate European soils of the Iberian Peninsula, in the hilly terrain of the Cantabria Mountains extending to the Atlantic Ocean, and are also prevalent in the Icelandic and Scottish Highlands, the Pyrenees [9, 10], the Massif Central [11], the Alps [12], the Appenines [13], the Southern Carpathians and the Bulgarian Pirin Mountains [14]. Umbrisols at lower altitudes are present on the acid igneous and metamorphic rocks in the Ruhr and Moselle basin (Germany), in Brittany (France), on fluvio-glacial deposits in Denmark [15] and also in Poland [16]. In addition, the occurrence of soil associations with inclusion or predominance of Umbrisols is predicted for all Central and Eastern European countries [2,17,18].

Although the Umbrisol Reference Soil Group has only recently been included as a new soil group in national soil classification systems, including Central and Eastern European countries, it has been part of the Romanian System of Soil Taxonomy as Nigrosol and Humosiolsol genetic types since 2000 [19], and they are newly included in the Slovak soil classification system. The Slovak system classifies Umbrisols as soils with umbric horizon, and all other diagnostic horizons except cambic are absent. Umbrisols can have a layer starting at ≥ 50cm from the mineral soil surface with its lower limit at ≤ 100cm, and also have reducing conditions in some sublayers.Compared to WRB standards, the umbric horizon must be over 20cm thick and have ≥ 1.0% soil organic carbon content (SOC) and three additional combined humus quality conditions; for example a carbon to nitrogen ratio (C:N ratio) > 12, humic acids to fulvic acids ratio (CHK:CFKratio) < 1 and colour quotient (Q(4/6)) > 3 for humic acids and > 4 for humus substances [20].

Systematic research of Umbrisols and soils with umbric horizon in the Slovak Western Carpathians began in 2008 (The initial research was supported by Scientific Grant Agency of the Ministry of Education of the Slovak Republic and the Slovak Academy of Sciences under contract VEGA 1/0254/08). Dlapa et al. [21], Bedrna et al. [22] and Bedrna et al. [23] performed initial studies based on physical, chemical and, in some cases biological analysis of umbrisol profile features.

One of the first recorded occurrences of Umbrisols in Slovakia was at low altitudes in the Borská lowland [24] and this raised questions about which soil forming factors are essential for Umbrisol formation. Are these factors similar to those in mountain regions? A positive answer is suggested by the rare occurrence of Podzols in this region [25]. Podzols presence is related to Slovak altitudinal zonation, so to test this hypothesis we performed detailed soil mapping and monitoring of the natural environment in two selected Borská lowland localities; the Šajdíkove Humence I and Šajdíkove Humence II sites. Although research results did not absolutely confirm the hypothesis, their generalisation allowed prediction mapping of Umbrisols in the entire Borská lowland; with expectation that our methods and results will simplify future soil mapping.

Umbrisols rich in humus are therefore logical counterparts of slightly leached Chernozems, Kastanozems and Phaeozems with a chernic or mollic horizon and high base saturation. The umbric horizon depth and high SOC content provide Umbrisol areas with higher SOC stocks, and although these areas are rarely used as agricultural land, Umbrisols are important components of the carbon cycle and deserve increased attention and protection.

2 Study site

The Borská lowland forms the central and southern parts of the Záhorie Lowland geomorphological area located in the peripheral part of the Vienna Basin between the Morava River and the Western Carpathian Malé Karpaty Mts. (Little Carpathians). The lowland has warm-summer humid continental climate, without significant difference in precipitation between seasons. This area’s 9.5 °C average annual temperature and the 550 to 600mm average annual precipitation. Aeolian sand dunes of quartz sands are the dominant landforms in the elevated central part of the Borská lowland (Bor). The Bor gently protrudes above the fluvial-aeolian plane of Záhorské pláňavy with a mosaic of river terraces, wetland depressions and sand dunes in the west and the Podmalokarpatská zníženina subsided area (depression under the Little Carpathians) with a peat bogs in several depressions in the east. The sand dunes often lie directly above the impermeable neogene layers of the Vienna Basin and dry areas at the top of sand dunes are covered by Arenosols which alternate with more moist depressions containing Cambisols, Gleysols, Podzols and Umbrisols. The soils are poor in nutrients, and pine and mixed pine-oak forests are planted here. The parent material and acid litter-fall from coniferous and broadleaf trees have induced the acid soil reaction.

3 Materials and methods

Geo-ecological research of the monitored locations was conducted as in Minár [26]; with detail topography, hydrology, lithology, pedology and vegetation investigated at the monitored sites. Groundwater table depth was determined also at the prediction-mapping soil sites, and soil profile, relief form and vegetation are described.

Detailed tacheometric survey of the terrain was performed at the Šajdíkove Humence I site and a cloud of survey points was constructed by TOPCON 105N Total station combined with GPS Leica GS20 and SK-POS correction signal for reference points. Soil pits and boreholes formed part of the survey point cloud. A digital elevation model with 1m grid-spacing was interpolated by regularised spline with tension method and default parameters included in the v.surf.rst module in GRASS GIS.

Geophysical research on this site contain electrical resistivity topography (ERT) and induced polarization (IP) measurements. The 2D ERT line was collected using an ARES instrument (GF Instruments Inc.). The survey line was 55 m long (see Figure 3) and conducted with a Wenner-ß electrode array with 1m electrode spacing. 56 electrodes were used simultaneously, with alternation of two current and two potential electrodes. For post-processing and data interpretation, the RES2DINV software was applied. It generates a topographically corrected 2D resistivity model of the subsurface by inverting the data obtained from electrical imaging [27]. A robust inversion (L1 norm) was used because it is more suitable for detecting sharp linear features.

The subsurface geology occasionally contained almost homogeneous internal regions but there were sharp boundaries separating different regions. In these cases, the inversion formulation was modified so that it minimised absolute changes in model resistivity values [28], and this provided significantly better results. This process is technically referred to as the L1 norm smoothness-constrained optimisation method; and commonly known as the “blocky inversion” method.

The IP data was measured in combination with ERT current applied to the ground and switched off a few moments later, thus providing over-voltage decay. The IP effect is analogous to a leaky capacitor, reflecting the degree to which the subsurface is able to store electric charge. This occurs when an electric current passes through rock or soil and the potential difference which decays over time is observed when the current is interrupted. The IP potential rate of decay depends on the rock lithology, its pore geometry and the degree of water saturation.

Soil sampling was performed down to groundwater table depth by percussion drilling in all study sites by Stitz set, and open-face auger provided umbric horizon thickness in the surrounding Šajdíkove Humence I and Ia soil pit areas.

Soil samples from the Šajdíkove Humence I and Ia and Šajdíkove Humence II soil pits were analysed by standard analytical procedures [29]. Soil reaction was determined by a glass electrode in a 1:5 volume fraction suspension of soil in water, and the cation exchange capacity and sum of exchangeable bases were established by 1M NH4OAc at pH 7. Total carbon and nitrogen was measured by EuroVector Euro EA 3000 EA-IRMS Element Analyser. The sand colour criteria for determining groundwater-affected soils were insufficient, so the alpha-dipyridyl test was used for field identification of reducing conditions and Mn concentrations when gleyic properties were recognised by 10% H2O2 solution.

Soil samples for radiocarbon dating were taken twice from the bottom of the Šajdíkove Humence I topsoil layer at 40-50cm depth. Samples were soaked in distilled water and 3% H2O2 solution for 24 hours. Extraction of biological remains and charcoal fragments was performed using standard flotation and wet-sieving procedures with 0.25mm mesh sieve, and the charcoal fragment age was determined by radiocarbon dating. The carbon dioxide from combusted samples was catalytically converted to graphite using Vogel et al.’s procedure [30]. Graphite 14C:13C ratios were measured by CAIS 0.5 MeV accelerator mass spectrometer (AMS) and compared to the Oxalic Acid I ratio (NBS SRM 4990). The sample 13C:12C ratios were measured separately using a stable isotope ratio mass spectrometer (IRMS) and expressed as δ13C with respect to Pee Dee Belemnite (PDB). The quoted uncalibrated dates were given in radiocarbon years before 1950 (years BP), using the 5,568 year 14C half-life

Research 15m x 15m plots were established and phytocoenological relevés were performed according to the Zürich-Montpellier school and complemented by the Braun-Blanquet abundance scale.

4 Environment properties and Umbrisol mapping

Umbrisols in the Borská lowland were initially documented in the northern part of the lowland by Dlapa et al. [24], where an Umbrisol area formed in the shallow depression under a 75-year-old open Pinus sylvestris forest with dense undergrowth of Molinia grasses. Molinia ceraluea agg. [31] are the prevailing grasses in association Molinio arundinaceae-Quercetum Samek1962 which is an autochthonous stand in wet acidophilous oak forests. The depression is surrounded in the north-west by a sand dune with a steep slope and the terrain rises slightly to the southeast from its edge. The Umbrisol area is sharply bound by a sand-dune foothill and the humus-rich surface layer thickness reduces sharply behind this foothill in an uphill direction. While topsoil thickness does not change significantly to the east, its colour becomes lighter with increasing altitude until it no longer fulfils umbric horizon diagnostic criteria. The lighter colour of the adjacent Arenosols is due to decreased SOC content and the edge of the Molinia grass stand, which is occasionally connected to moss carpets, forms the Umbrisol border line.

The mentioned depression with the Šajdíkove Humence I and Ia soil pits borders a smaller depression to the northeast where the Šajdíkove Humence II soil pit was excavated. This depression has a 40-year-old closed canopy Quercus robur forest without continuous undergrowth. The diagnostic and other properties of the three representative arenic Umbrisols at the Šajdíkove Humence I and II depressions are listed in Tables 1 and 2. All have almost 50cm thick dark umbric horizons which sharply transit to a layer of light quartz eolian sand parent-material. Šajdikove Humence Ia and Šajdíkove Humence II soil pits are depicted in Figure 1.

Table 1

Chemical qualities of soils.

LocalityLongitude Latitude Altitude (m a.s.l.)Name of soilIndex of horizonDepth of layer (cm)pH H2OSoil coloid capacitySOC (%)Ntot (%)Ctot:Ntot
CEC(cmolckg-1)BS (%)
ŠajdíkoveN 48.6360°Ah1253.91081.58.120.51415.8
Humence IE 17.2926°Ah1504.1570.45.520.40913.5
212,95C1754.550.10.04
C11004.670.10.04
ŠajdíkoveN 48.6356°UmbrisolAh1204.2981.711.80.81714.5
HumenceE 17.2921°(Arenic)Ah1404.1490.63.750.29312.8
Ia213,1C1754.460.10.09
C11004.380.10.08
ŠajdíkoveN 48.6362°Ah1253,81721.310.60.72714.6
HumenceE 17.2934°Ah1453.7860.35.960.46912.8
II214C1754.370.00.13
C11004.4110.00.11
  1. CEC = cation exchange capacity, BS = base saturation, SOC = soil organic carbon, Ntot = total nitrogen, Ctot = total carbon

Table 2

Physical qualities of soils.

LocalityName of soilIndex of horizonDepth of layer (cm)Munsell colourTexture(%)
dry earthmoist earthClaySiltSand0.05-0.3mm
ŠajdíkoveAh12010YR2/210YR2/20.8419.7179.45
HumenceAh25010YR2/210YR2/20.5010.7388.77
IC17510YR6/210YR5/30.110.3699.5385.8
C210010YR6/210YR5/30.370.1899.4584.7
ŠajdíkoveUmbrisolAh12010YR2/210YR3/10.3022.8876.82
Humence(Arenic)Ah24010YR2/210YR2/20.5010.7388.77
IaC17510YR6/210YR5/30.110.3699.5383.6
C210010YR6/210YR5/30.370.1899.4580.7
ŠajdíkoveAh12010YR2/210YR3/10.3022.8876.82
HumenceAh24510YR2/210YR3/11.4212.0286.56
IIC17510YR6/210YR5/30.250.1999.5687.1
C210010YR6/210YR5/30.010.2199.7887.2

Figure 1 Soil profiles.
Figure 1

Soil profiles.

Thickness of the umbric horizon at the bottom of the Šajdíkove Humence I depression (< 213.5 m a.s.l.) does not markedly depend on altitude (Figure 2). While its thickness in a neighborhood of a depression point reaches or exceeds 50cm, a 40-50cm thick surface horizon is located on almost the entire bottom of the depression, and differences in altitude of particular microforms often exceed 50cm at the depression base (Figure 3). Figure 4 highlights that almost 48% of soil pits and boreholes with more than 40cm surface horizon thickare situated in micro-areas with positive plan curvature values; plan curvature is positive in ridge areas and negative in valley areas.

Figure 2 Dependence of surface horizon thickness on altitude, Šajdíkove Humence I site.
Figure 2

Dependence of surface horizon thickness on altitude, Šajdíkove Humence I site.

Figure 3 Thickness of dark surface mineral horizon in inter-dune depression at the Šajdíkove Humence I site.
Figure 3

Thickness of dark surface mineral horizon in inter-dune depression at the Šajdíkove Humence I site.

Figure 4 Plan curvature in inter-dune depression at the Šajdíkove Humence I site.
Figure 4

Plan curvature in inter-dune depression at the Šajdíkove Humence I site.

Determination of the groundwater table depth at the Šajdíkove Humence I and II sites was performed on 14 October 2014. Geophysical measurement and additional boreholes (percussion drilling set) showed that the groundwater table depth fluctuated approximately 1.5m in Umbrisol areas. Verification boreholes enabled determination of groundwater depth in the 2015, 2016 and 2017 summers, and they confirmed relatively stable groundwater table depth at these localities with no significant deviations from the 1.5m depth. Both localities are situated sufficiently high that permanent rivers have no effect on groundwater table height. The nearest groundwater level monitoring borehole is No. 99 in the Slovak Hydrometeorological Institute network, and this is situated close to the Bahnostream, 2.5 km north-west of the Šajdíkove Humence I soil pit at 205.18 m a.s.l. (WGS84: 48°38′37.4″N, 17′ 15′43.1″E). The maximum groundwater level differences recorded here were; 41cm in 2014, 28cm in 2015 and 36cm by 26 October 2016.

The chargeability model in Figure 5a depicts a 35-50cm thick surface layer. The IP results revealed a thin layer with chargeability value over12 m V/V for the umbric horizon of soil material with higher SOC content, and a thick layer of aeolian quartz sands below this layer. High carbon content, fine-grained soil fractions and sharp transformation of the layer to dry non-polarised aeolian quartz sands enabled the surface horizon to be distinguished by IP.

Figure 5 Results of geophysical measurements at Šajdíkove Humence I site.
Figure 5

Results of geophysical measurements at Šajdíkove Humence I site.

Changes in electrical resistivity in the transect provided modelling of the lithological composition, structure, lateral distribution and thickness of the soil horizons. Changes in porosity and water content hydrogeological parameters were then determined from the results. The resistivity model in Figure 5b shows the following horizontal layer distribution; the first layer is thin with resistivity ranging between 1800 and 3000 Ω·m and the second layer, present up to 1.5m depth, has high resistivity above 4000 Ω·m. Soil sampling proved that the second and third layers have similar petrophysical composition, and a resistivity decrease recorded in the third layer is explained solely by its high water content.

The chargeability, resistivity model and field soilsampling enabled construction of lithology model (Figure 5c) which clearly corresponds to the Šajdíkove Humence I soil pit. The first border line at 0.4 to 0.5m depth on that figure corresponds to the umbric horizon interface and the second at 1.4 to 1.5m marks the top of the aquifer.

The capillary height-rise is approximately 100cm in medium-grained sand with 0.3mm average grain diameter and 0.015mm average pore radius of the soil matrix [32]. The last column in Table 2 shows that the aeolian sands have average grain diameter under 0.3mm. Although expected average pore size is over 0.015mm, the capillary rise at the Šajdíkove Humence I site encourages growth of deep-rooted grasses.

The measurements and analyses enabled specification of suitable conditions for Umbrisol formation in the Borská lowland. In addition to aeolian quartz sands, the Umbrisol areas have a shallow groundwater table (< 1.5m) with great potential for Molinia grass growth. These conditions are often present in inter-dune depressions, and our results provided proxies for predictive Umbrisol mapping of the entire Borská lowland (Figure 6 and Appendix, Table A1). Mapping was based on selection of 36 inter-dune depressions from the topographic map and this demonstrated the following Umbrisol occurrences at 18 sites:

Figure 6 Occurrence of Umbrisols and other soils with umbric horizon in the Borská lowland.
Figure 6

Occurrence of Umbrisols and other soils with umbric horizon in the Borská lowland.

Table A1

Environmental conditions at the inter-dune depressions.

No. of soilLocalityLongitude Latitude AltitudeName of soilDepth of ground-waterTree etageCoverSub-canopyCover
1Šajdíkove Humnece, Hlinený vršok IN 48.63278° E 17.31261° 220 m a.s.l.Umbrie Podzol140cmPinus sylvestris Quercus petraea75%Molinia ceraluea agg.15%
2Šajdíkove Humnece, Hlinený vršok IIN 48.63222° E 17.3098° 221 m a.s.l.Umbric Gleyic Podzol100cmPinus sylvestris Quercus petraea75%Molinia ceraluea agg.15%
3Malacky, Jablonovská cestaN 48.41686° E 17.04879° 180 m a.s.lGleyic Umbrisol80cmPinus sylvestris Ainus glutinosa75%Molinia ceraluea agg.50%
4Malacky, Syslí borníkN 48.40695° E 17.01165° 162 m a.s.lUmbrie Gleysol70cmPinus sylvestris Quercus petraea40%Molinia ceraluea agg.50%
5Malacky, Vojenský les IN 48.39971° E 17.03111° 174 m a.s.lUmbrie Gleysol70cmPinus sylvestris Quercus petraea Ainus glutinoza55%Molinia ceraluea agg. Juncus inflexus10%
6Malacky, Vojensky les IIN 48.40082° E 17.03312° 175 m a.s.lCambio Umbrisol120cmPinus sylvestris Quercus petraea30%Molinia ceraluea agg.50%
7Šajdíkove Humence, Šachorka IN 48.63692° E 17.29448° 175 m a.s.lHaplic Umbrisol120cmPinus sylvestris Quercus petraea75%Molinia ceraluea agg.60%
8Šajdíkove Humence, Šachorka IIN 48.644° E 17.297° 200 m a.s.lGleyic Umbrisol80cmPinus sylvestris55%Molinia ceraluea agg.40%
9Šajdíkove Humence, Šachorka IIIN 48.6493° E 17.30067° 204 m a.s.lUmbrie Gleysol70cmPinus sylvestris Quercus petraea Quercus robur55%Molinia ceraluea agg.75%
10Borský Mikuláš, MasárkaN 48.63152° E 17.26726° 210 m a.s.lGleyic Umbrisol80cmPinus sylvestris Quercus petraea Betula pendula15%Molinia ceraluea agg.75%
11Borský Mikuláš, Pri obrázku IN 48.63052° E 17.27715° 210 m a.s.lHaplic Umbrisol130cmPinus sylvestris Quercus petraea Betula pendula25%Molinia ceraluea agg. Bryophyta15%
12Borský Mikuláš, Pod HlavinouN 48.63721° E 17.27787° 212 m a.s.lGleyic Umbrisol130cmPinus sylvestris Quercus petraea Betula pubescens25%Molinia ceraluea agg. Dryopteris spinulosa Bryophyta15%
13Borský Mikuláš, Nad HlavinouN 48.63721° E 17.27787° 210 m a.s.lGleyic Umbrisol110cmPinus sylvestris Quercus petraea Betula pubescens25%Molinia ceraluea agg. Dryopteris spinulosa Bryophyta20%
14Borský Mikuláš, Pri obrázku IIN 48.63902° E 17.28229° 210 m a.s.lHaplic Umbrisol130cmPinus sylvestris Quercus petraea30%Molinia ceraluea agg. Dryopteris spinulosa Bryophyta Caluna vulgaris25%
15Studienka, Červený kríž IN 48.48903° E 17.07526° 179 m a.s.lGleyic Umbrisol80cmPinus sylvestris Quercus petraea Betula pubescens30%Molinia ceraluea agg. Bryophyta30%
16Studienka, Červený kríž IIN 48.49294° E 17.0831° 172 m a.s.lGleyic Umbrisol80cmPinus sylvestris Quercus petraea30%Molinia ceraluea agg. Bryophyta30%
17Studienka, Červený kríž IIIN 48.47449° E 17.05969° 176 m a.s.lGleyic Umbrisol90cmPinus sylvestris Quercus petraea30%Molinia ceraluea agg. Bryophyta60%
18Studienka, Červený kríž IVN 48.48149° E 17.0713° 182 m a.s.lUmbric Gleysol70cmPinus sylvestris Quercus petraea30%Molinia ceraluea agg. Bryophyta30%
19Plavecký ŠtvrtokN 48.36865° E 16.99847° 156 m a.s.lGleyic Chernozem150cmPinus sylvestris30%Molinia ceraluea agg.1%
20LábN 48.37555° E 16.9498° 154 m a.s.lArenosol200cmPinus sylvestris75%Without plants
21KostolišteN 48.44614° E 16.96492° 154 m a.s.lArenosol200cmPinus sylvestris40%Rubus idaeus Bryophyta30%
22GajaryN 48.47695° E 16.94965° 150 m a.s.lArenosol200cmPinus sylvestris Quercus petraea30%Rubus idaeus Bryophyta20%
23Rohožník-Rohožník route IN 48.45063° E 17.08172° 190 m a.s.lHaplic Umbrisol130cmPinus sylvestris Quercus petraea30%Molinia ceraluea agg. Bryophyta30%
24Rohožník-Rohožník route IIN 48.45276° E 17.09448° 198 m a.s.lHaplic Umbrisol120cmPinus sylvestris Quercus petraea40%Molinia ceraluea agg. Bryophyta30%
25Lakšárska Nová Ves, Kobyliarka IN 48.58705° E 17.17072° 210 m a.s.lCambic Umbrisol120cmPinus sylvestris Quercus petraea55%Molinia ceraluea agg. Bryophyta30%
26Lakšárska Nová Ves, Kobyliarka IIN 48.58938° E 17.13195° 186 m a.s.lCambisol150cmPinus sylvestris Quercus petraea55%Molinia ceraluea agg. Bryophyta30%
27Bílkove Humence IN 48.60371° E 17.26494° 230 m a.s.lGleyic Umbrisol100cmPinus sylvestris Quercus petraea Betula pubescens55%Molinia ceraluea agg. Bryophyta50%
28Bílkove eHumence IIN 48.60668° E 17.26897° 229 m a.s.lGleyic Umbrisol80cmPinus sylvestris Betula pubescens25%Molinia ceraluea agg. Bryophyta50%
29Bílkove Humence IIIN 48.60562° E 17.26679° 230 m a.s.lUmbrie Gleysol100cmPinus sylvestris Quercus petraea Betula pubescens65%Molinia ceraluea agg. Bryophyta35%
30Bílkove Humence, Červený kríž IN 48.61185° E 17.27111° 230 m a.s.lUmbrie Gleysol60cmPinus sylvestris5%Molinia ceraluea agg. Bryophyta35%
31Bílkove Humence, Červený kríž IIN 48.61296° E 17.27095° 230 m a.s.lHaplic Umbrisol> 110 cmPinus sylvestris15%Molinia ceraluea agg. Bryophyta25%
32ŠišulákyN 48.58072° E 17.13597° 178 m a.s.l.Gleysol100cmPinus sylvestris Quercus pubescens Betula pubescens30%Molinia ceraluea agg. Bryophyta35%
33Malacky, RybníkyN 48.43874° E 17.09514° 199 m a.s.l.Umbric Gleysol50cmPinus sylvestris Quercus petraea Betula pubescens15%Molinia ceraluea agg. Juncus inflexus40%
34Rohožník-gamekeeper’s lodgeN 48.4581° E 17.14179° 184 m a.s.l.Umbric Gleysol40cmPinus sylvestris Quercus petraea Betula pubescens15%Molinia ceraluea agg.35%
35Gbely-Adamov routeN 48.7233° E 17.05799° 163 m a.s.l.Arenosol130cmPinus sylvestris Quercus petraea Betula pubescens45%Molinia ceraluea agg.10%
36Gbely-groveN 48.7233° E 17.05799° 160 m a.s.l.Arenosol130cmPinus sylvestris Quercus petraea Betula pubescens45%Molinia ceraluea agg.10%

Haplic Umbrisol was classified at 6 sites; Gleyic Umbrisol at 10 sites and Cambic Umbrisols were present at the remaining 2 sites. Soils having umbric principal qualifier were also clasified (Umbric Gleysol at 8 sites and Umbric Podzol at 2 sites); and all localities with Umbrisols and soils having umbric principal qualifier are among the 33 sites with Molinia grass growth. Sites 35 and 36 listed on Appendix Table A1 contain two Arenosols under Molinia grass with a 15cm thick surface horizon which is equally dark and not base-saturated. Although these soils are not climax soils, they may transform to Umbrisols in the future. While research proved that Molinia grass presence is a reliable indicator of shallow groundwater table (< 1.5m), it cannot be used as sufficient indicator of Umbrisol occurrence. For example, the Šajdíkove Humence II site has oak forest without undergrowth.

4.1 Soil evolution time

The 50cm surface horizon thickness of the Šajdíkove Humence I soil pit and its 14C age determination of approximately 2,000 years enable estimation of 1cm thick horizon layer forming in 40 years. This formation is more than twice as rapid as Dümig et al’s. estimation [33]. These authors investigated an Umbrisols under unmanaged grasslands in the southern Brazilian highland. Soil samples were taken from the same depth and specified the age using the same method. Rapid formation of the surface horizon of Šajdíkove Humence I Umbrisol generally depends on a continuous supply of material from adjacent dune slopes which are less rich in soil organic carbon (SOC), and this assumption is supported by the higher SOC content in Dümig’s Umbrisols. Umbric horizons on mountain slopes can also develop more rapidly. Examples include the Cambic Umbrisols from micaschists and under the Larix decidua/Picea abies forest in the Val di Sole (Alps) at 1,621 and 1,630 m a.s.l., respectively [12]. One possible explanation is the accumulation of flushed material in concave parts of the slopes, and it is therefore unfortunate no curvature data is included in that paper.

The values of C:N ratio in the last column of Table 1 highlight the positive differences between the upper and lower half of any humus horizon, and these indicate a gradual increase in humus horizon thickness and relatively rapid soil organic matter decomposition. Bedrna et al. [23] record that although acid umbric horizons rich in organic matter are the poorest for micro-organism abundance, they have quite diverse microscopic fungi composition and the fastest cellulose decomposition.

5 Comparison of critical conditions for Umbrisol and Podzol formation in mountain and lowland regions

Pelíšek [34] first described a soil vertical zone formed from soils morphologically related to Umbrisols in the southern granite slopes of the Slovak Western Carpathian High Tatra Mts. This author distinguished a zone of cocoa-brown and black-grey mountain turf soils above the podzol zone. Early Slovak pedologists recognised that Alpine rankers occur above the vertical podzol zone [35,36]. Although this zone is considered a mixed zone of Umbrisols and Leptosols, the Reference Soil Group of Umbrisols was not included in the Slovak soil classification system at that time. While the “Ranker” term currently refers to lithomorphic A/C soils with varying humus horizon thickness originating from weathered silicate rocks, this soil classification unit is very broad. For example, correlation of German and WRB terms reveals that the German Ranker classification includes almost all Leptosols, Leptic Umbrisols, Cambrisols and Phaeozems [37].

Stanila and Dumitru [38] report that in the Southern Carpathians umbrisol zone lies above the podzol zone. Bedrna [39] states that a separate umbrisol zone exists between the podzol and leptosol zones in the Western Carpathians. This is supported by the occurrence of soils with an umbric horizon above the podzolised soil zone not only in the Romanian and Slovak high mountains [40], but also globally [41,42].

Intense weathering of soil matter and translocation of its products to lower parts of the solum occurs under a cold montane closed coniferous forest. Humus accumulates in soils under open coniferous forest and alpine and subalpine grasslands. This is supported by the higher production of better quality organic matter, and more favourable microclimatic conditions during spring and summer, especially high ground-level air and topsoil temperatures, result in rapid formation of biomass from grasses and herbs [36]. The weathering processes decelerate more rapidly in alpine and sub-alpine grasslands than in montane coniferous forest because of the buffering capacity of a higher amount of better humus.

The Umbric Podzols in the predicted Borská lowland soil mapping are located at the bottoms of a multiple and deep depression 1km southeast of the Šajdíkove Humence I site (sites 1 and 2 on Figure 6 and in Appendix, Table A1). The depths to groundwater tables range from1.4m at site 1 to 1.0m at site 2, and both sites contain Molinia grasses. The extensive inter-dune depression fills with water during rainfall events, and this water accumulates in a higher water column around the lowest sub-depression points and results in longer infiltration throughout the entire solum. Lower soil temperature is related to the shallow groundwater table, and we therefore assume that subsequent soil-forming processes lead to umbric horizon development accompanied by podzolisation.

Very acidic parent material, vegetation cover and sufficient water are the major factors required for umbrisol and podzol development in both mountain and lowland areas. While sufficient water available for grasses or herbs and lower soil temperature in lowland is affected by groundwater table lying close to the ground surface, the cold montane coniferous forest and alpine environments have abundant rainfall and lower temperatures their entire area and the podzolisation process is therefore intensified.

6 Conclusion

Specific geo-ecological conditions in the central part of Borská lowland, such as acidic aeolian sands and pine-oak forests, have determined the evolution of Umbrisols in this region. Soil formation in inter-dune microdepressions is often affected by groundwater, and unique Umbrisols are frequently found in inter-dune depressions with shallow groundwater table (< 1.5m). 1.5m depth is a transformation interface from Umbrisols to Arenosols. The properties of aeolian sands and colluvial materials flushed from the surrounding dune slopes on the bottom of interdune depressions induce water capillary rise to the grass roots zone during dry periods, thus providing ideal conditions for greater production of soil organic matter and consequent humification. Contrasting to Umbrisols in the mountains which fall within the altitudinal zonated soils with higher precipitation and lower temperature, the Umbrisols in the Borská lowland can be classified as intrazonal soils.

The geological and pedological settings in the Borská lowland provide favourable conditions for employing geophysical methods in detailed soil mapping, and ERT and IP measurements is especially efficient in identifying aquifers and umbric horizon thickness in the sand layers. The umbric horizon rich in SOC and the following nonwater and water-sand layer are so distinct that they create a sharp interfaces between materials with different electrical properties.

In summary, very similar natural conditions to those in the Borská lowland can be expected in the majority of aeolian quartz sand outcrops in Central and Eastern Europe. An appropriate example in close proximity to the Borská lowland is the Váte Písky site near Bzenec in the Czech Republic. It is a perfectly legitimate assumption that this site also contains Umbrisols under Molinia grasses, and that the geophysical techniques employed in our research will prove effective in detailed soil mapping them.

Acknowledgement

The research was supported by Scientific Grant Agency of the Ministry of Education of the Slovak Republic and the Slovak Academy of Sciences; Projects No. VEGA 1/0421/16, 1/0559/17, 1/0781/17 and Slovak Research and Development Agency; Project No. APVV-15-0054.

References

[1] IUSS Working Group WRB, World Reference Base for Soil Resources 2014 update 2015. International Soil Classification System for Naming Soils and Creating Legends for Soil Maps, World Soil Resources Report No. 106. FAO, Rome, 2014, http://www.fao.org/3/a-i3794e.pdfSearch in Google Scholar

[2] Soil Atlas of Europe. European Soil Bureau Network European Commission, Office for Official Publications of the European Communities, Luxembourgh, 2005Search in Google Scholar

[3] FAO, Revised Legend of the FAO-UNESCO Soil Map of the World, Rome, 1988, http://www.isric.org/sites/all/modules/pubdlcnt/pubdlcnt.php?file=/isric/webdocs/docs/ISRIC_Report_1988_01.pdf&nid=332Search in Google Scholar

[4] FAO – Unesco, FAO - Unesco Soil Map of the World, 1 : 5,000,000. Vol. 1. Legend, Paris, 1974Search in Google Scholar

[5] Soil Survey Staff. Keys to soil taxonomy. 12th ed. USDA-Natural Resources Conservation Service, Washington, DC, 2014Search in Google Scholar

[6] Dümig A., Schad P., Kohok M., Beyerlein P., Schwimmer W., Kögel-Knabner I., A mosaic of nonallophanic Andosols, Umbrisols and Cambisols on rhyodacite in the southern Brazilian highlands. Geoderma, 2008b, 145, 158-17310.1016/j.geoderma.2008.01.013Search in Google Scholar

[7] Fitz Patrick E.A., Soils, Their Formation, Classification and Distribution. London, New York, Longman, 1980Search in Google Scholar

[8] Liess M., Glaser B., Huwe B., Digital soil mapping in southern Ecuador. Erdkunde, 2009, 63,309-31910.3112/erdkunde.2009.04.02Search in Google Scholar

[9] Boixadera J., Antúnez M., Poch R.M., Soil Evolution Along a Toposequence on Glacial and Periglacial Materials in the Pyrenees Range. In: Kapur, S., Mermut, A., Stoops, G. (Eds.), New Trends in Soil Micromorphology, Springer, Berlin, Heidelberg, 2008, 39-6510.1007/978-3-540-79134-8_4Search in Google Scholar

[10] Ganuza A., Almendros G., Organic carbon storage in soils of the Basque Country (Spain): the effect of climate, vegetation type and edaphic variables. Biology and Fertility of Soils, 2003, 37, 154-162.10.1007/s00374-003-0579-4Search in Google Scholar

[11] Legros J.P., Les grands sols du monde. Presses polytechniques et universitaires romandes, Lausane, 2007 (in French)Search in Google Scholar

[12] Favilli F., Cherubini P., Collenberg M., Egli M., Sartor I G., Schoch W., Haeberli W. Charcoal fragments of Alpine soils as an indicator of landscape evolution during the Holocene in Val di Sole (Trentino, Italy). The Holocene, 2010, 20, 67-7910.1177/0959683609348850Search in Google Scholar

[13] Sanesi G., Certini G., The umbric epipedon in the N Apennines, Italy - An example from the Vallombrosa Forest. Journal of Plant Nutrition and Soil Science, 2005, 168, 392-39810.1002/jpln.200421651Search in Google Scholar

[14] Läßiger M., Scheithauer J., Grunewald K., Preliminary Mapping and Charactarisation of soils in the Pirin Mountains (Bulgaria). Journal of Mountain Science, 2008, 5, 122-12910.1007/s11629-008-0133-9Search in Google Scholar

[15] Kristiansen S.M., Greve M.H., Soil and humus form distribution in the ancient woodland of Hald Ege, Denmark. Danish Journal of Geography, 2003, 103, 27-3610.1080/00167223.2003.10649489Search in Google Scholar

[16] Świtoniak M., Charzyński P., Mendyk Ł., Forest areas within hummocky moraine plateaus of Poland (Brodnica Lake District). In: Świtoniak M., Charzyński P. (Eds.), Soil Sequences Atlas. Nicolaus Copernicus University Press, Toruń, 2014, 60-74Search in Google Scholar

[17] FAO, The World Resource Base Map of World Soil Resources. Land and Water Development Division AGL, Roma, 2003Search in Google Scholar

[18] ISRIC, SoilGrids1km. A System for Automated Global Soil Mapping. ISRIC - World Soil Information, Wageningen, 2014, http://soilgrids.org/index.htmlSearch in Google Scholar

[19] Florea N., Munteanu I., Rusu C., Dumitru M., Ianoş G., Răducu D., Rogobete G., Țărău D. Romanian System of Soil Taxonomy. Bucharest, Sitech Publishing House, 2012Search in Google Scholar

[20] Societas Pedologica Slovaca, Morfogenetický Klasifikačný Systém pôd Slovenska. Bazálna Referenĉná Taxonómia [Morphogenetical Soil Classification System of Slovakia. Basal Reference Taxonomy]. NPPC-VÚPOP, Bratislava, 2014 (in Slovak)Search in Google Scholar

[21] Dlapa P., Bedrna Z., Ďuriš M., Kořenková L., The importance of soil with umbric horizon for landscape in Slovakia. In: Landscape Ecology – Methods, Applications and Interdisciplinary Research. Ústav krajinnej ekológie SAV, Bratislava, 2009, 849–854Search in Google Scholar

[22] Bedrna Z., Dlapa M., Ďuriš M., Bútorová J., Umbrizem – nový pôdny typ na Slovensku [Umbrizem – A new soil type in Slovakia]. Geografický časopis, 2009, 61, 291-300 (in Slovak with English summary)Search in Google Scholar

[23] Bedrna Z., Dlapa M., Šimkovic I., Šimonovičová A., Pôdy s umbrickým horizontom na Slovensku [Soils with umbric horizon in Slovakia]. Comenius University in Bratislava, Bratislava, 2010 (in Slovak with English summary)Search in Google Scholar

[24] Dlapa M., Šimkovic I., Doerr S.H., Kanka R., Mataix-Solera J., The effect of site conditions and heating on soil water repellency in aeolian sands under pine forests at Borská nížina lowland (SW Slovakia). Ekológia (Bratislava), 2007, 26, 398-407.Search in Google Scholar

[25] Bublinec E., Podzolový pôdotvorný proces pod borovicovými porastami Záhoria [Podzolization under pinus forests in Zahorie lowland]. VEDA, Bratislava, 1974 (in Slovak)Search in Google Scholar

[26] Minár J., Detailed physical-geographical (geoecological) research and mapping in the landscape ecology. Ekológia (Bratislava), 2003, 22(Supp 2), 141-149Search in Google Scholar

[27] Loke M.H., Barker, R.D., Rapid least-squares inversion of apparent resistivity pseudosections by a quasi-Newton method. Geophysical Prospecting, 1969, 44, 131-15210.1111/j.1365-2478.1996.tb00142.xSearch in Google Scholar

[28] Claerbout, J.F., Muir, F., Robust modeling with eratic data. Geophysics, 1973, 38, 826–84410.1190/1.1440378Search in Google Scholar

[29] Van Reeuwijk L.P., Procedures for soil anylysis. 6th ed. Technical papers 9, ISRIC - World Soil Information, Wageningen, 2002.Search in Google Scholar

[30] Vogel J., Southon J.R., Nelson D.E., Brown T.A., Performance of catalytically condensed carbon for use in accelerator mass spectrometry. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, 1984, 5, 289-293.10.1016/0168-583X(84)90529-9Search in Google Scholar

[31] Danihelka J., Chrtek J. Jr., Kaplan Z., Checklist of vascular plants of the Czech Republic. Preslia, 2012, 84, 647–811, https://is.muni.cz/repo/988753/Danihelka_et_al_2012_Checklist.pdflSearch in Google Scholar

[32] Adamski M., Kremesec V., Kolhatkar R., Pearson C., Roean B., LNAPL in fine-grained soils: Conceptualization of saturation, distribution, recovery, and their modeling. Ground Water Monitoring & Remediation, 2005, 25, 100-11210.1111/j.1745-6592.2005.0005.xSearch in Google Scholar

[33] Dümig A., Schad P., Rumpel C., Dignac M.F., Kögel-Knabner I., Araucaria forest expansion on grassland in the southern Brazilian highlands as revealed by 14C and δ13C studies. Geoderma, 2008a, 145, 143-15710.1016/j.geoderma.2007.06.005Search in Google Scholar

[34] Pelíšek J., Výšková půdní pásmovitost Střední Evropy [Vertical soil zonation in Central Europe]. ČSAV, Prague, 1966 (in Czech)Search in Google Scholar

[35] Mičian L., Bedrna Z., Dva druhy výškovej pásmovitosti pôd v strednej Európe [Two kinds of vertical soil zonation in Central Europe]. Geografický časopis, 1964, 16, 40-51 (in Slovak with English summary)Search in Google Scholar

[36] Šály R., Pôdy alpínskeho a subalpínskeho stupňa Západných Karpát [Soil of the south part crystalline basement of the Western Tatras]. Technical University in Zvolen, Zvolen, 2006 (in Slovak)Search in Google Scholar

[37] Schad P., Krasilnikov P., Arnold R., German soil classification. In: Krasilnikov P. et al. [Eds.], A handbook of soil terminology, correlation and classification, Earthscan, London, 2009, 122-13010.4324/9781849774352Search in Google Scholar

[38] Stănilă A.L., Dumitru M., Soils Zones in Romania and Pedogenetic Processes. Agriculture and Agricultural Science Procedia, 2016, 10, 135-13910.1016/j.aaspro.2016.09.042Search in Google Scholar

[39] Bedrna Z., K výškovej stupňovitosti Západných Karpát [Soils with umbric horizon in Slovakia]. Phytopedon (Bratislava), 2009, 8, 70-80 (in Slovak with English summary)Search in Google Scholar

[40] Hudec M., Hreško J., Identification of Umbric horizon in alpine level of the Low Tatras. Phytopedon (Bratislava), 2013, 12, 5-9Search in Google Scholar

[41] Burnham C., Altitudinal Changes in Soil on Granite in Malaysia. In: Transactions of the 10th International Congreses on Soil Science. Genesis, Classification and Geography of Soils, Nauka, Moscow, 1974, 6, (1), 290–296Search in Google Scholar

[42] Legros J.P., Cabidoche Y.M., Les types de sols et leur répartition dans les Alpes et les Pyrénées cristallines. Documents de Cartographie Écologique (Montpelier), 1977, 19, 1-19 (in French)Search in Google Scholar

Received: 2017-06-19
Accepted: 2017-12-13
Published Online: 2018-05-19

© 2018 M. Jenčo et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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