Soil organic carbon characteristics relating to geomorphology near Vestre Lovénbreen moraine in Svalbard
Soil organic carbon characteristics relating to geomorphology near Vestre Lovénbreen moraine in Svalbard
Journal of Ecology and Environment. 2014. May, 37(2): 69-79
Copyright © 2014, The Ecological Society of Korea
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial Licens ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • Received : February 04, 2014
  • Accepted : April 10, 2014
  • Published : May 27, 2014
Export by style
Cited by
About the Authors
Ji Young Jung
Arctic Research Center, Korea Polar Research Institute, Incheon 406-840, Korea
Kyoo Lee
National Institute of Ecology, Seocheon 325-813, Korea
Hyoun Soo Lim
Department of Geological Sciences, Pusan National University, Busan 609-735, Korea
Hyun-cheol Kim
Division of Polar Ocean Environment, Korea Polar Research Institute, Incheon 406-840, Korea
Eun Ju Lee
Division of Polar Ocean Environment, Korea Polar Research Institute, Incheon 406-840, Korea
Yoo Kyung Lee
Arctic Research Center, Korea Polar Research Institute, Incheon 406-840, Korea

Soil organic carbon (SOC) in the Arctic is vulnerable to climate change. However, research on SOC stored in the high Arctic regions is currently very limited. Thus, this study was aimed at understanding the distribution and characteristics of SOC with respect to geomorphology and vegetation in Svalbard. In August 2011, soil samples were collected near the Vestre Lovénbreen moraine. Sampling sites were chosen according to altitude (High, Mid, and Low) and differences in levels of vegetation establishment. Vegetation coverage, aboveground biomass, and SOC contents were measured, and density-size fractionation of SOC was conducted. The SOC content was the highest in the Mid site (126.9 mg g -1 ) and the lowest in the High site (32.1 mg g -1 ), although aboveground biomass and vegetation coverage were not different between these two sites. The low SOC content measured at the High site could be related to a slower soil development following glacial retreat. On the other hand, the Low site contained a high amount of SOC despite having low vegetative cover and a high ratio of sand particles. These incompatible relationships between SOC and vegetation in the Low site might be associated with past site disturbances such as runoff from snow/glacier melting. This study showed that geomorphological features combined with glacier retreat or melting snow/glacier effects could have affected the SOC distribution and vegetation establishment in the high Arctic.
The soil organic carbon (SOC) stored in the Arctic has been of great interest in recent discussions on global climate change, due to the high amount of carbon (C) storage and vulnerability (Schuur et al. 2008). Although the permafrost regions in the northern latitude cover 16% of soil area, it is estimated that about 1,400–1,850 Pg of C is stored in Arctic soil (McGuire et al. 2009, Tarnocai et al. 2009). The low temperatures in the Arctic have prevented the decomposition of organic matter, thus leaving a high proportion of SOC in the Arctic vulnerable to microbial degradation once temperatures increase (ACIA 2004, Dutta et al. 2006, Schuur et al. 2008). However, the studies on SOC storage and quality in the Arctic have been mainly conducted in boreal and arctic ecosystems such as Alaska and Siberia (Hobbie et al. 2000, Dutta et al. 2006, Mishra and Riley 2012). The high Arctic tundra regions have gained relatively less attention in terms of the storage or characteristics of SOC. Recently, Burnham and Sletten (2010) estimated the amount of SOC stored in the high Arctic as 12 Pg and showed that previously reported values have underestimated the actual SOC storage. They also pointed out that general information regarding SOC in the high Arctic has been very limited.
There are several factors influencing SOC accumulation and distribution, with soil forming factors considered important parameters in the interpretation of SOC concentrations (Finzi et al. 1998, Burke et al. 1999). Many existing studies on SOC distribution in the high Arctic have been conducted in glacier retreat regions (Hodkinson et al. 2003, Nakatsubo et al. 2005, Kabala and Zapart 2012). Soil organic matter (SOM) accumulation along the chronosequence has been a traditional topic as a parameter of soil development following glacial retreat (Matthews 1992). The SOM accumulation rate in the Arctic is relatively slower than in temperate and tropical regions due to the harsh nature of the environment (Hodkinson et al. 2003). Hodkinson et al. (2003) showed that the SOM significantly increased after 150 years, and Bekku et al. (2004) reported significant differences in the SOC content of sites which became ice-free more than 2,000 years ago, and another young site (ice-free for less than 30 years) in the glacier foreland in Svalbard. That is to say, time has proven to be a critical factor in the interpretations of SOC accumulation and distribution in the Arctic.
In addition to the age of soil, disturbances play an important role in determining the quantities and distribution of SOC. Thus, SOC stored in areas affected by cryoturbation has been studied considerably (Bockheim and Hinkel 2007, Kaiser et al. 2007). Cryoturbation in cold regions has the potential to alter general SOC distribution, with higher concentrations of SOC on the surface and an exponential decrease of SOC with depth. Cryoturbation could transport surface carbon to a deeper soil profile or, conversely, expose materials found in deep soil to the surface (Schaetzl and Anderson 2005). In addition to cryoturbation, topographical and geomorphological features (e.g., altitude or shape of land) have the ability to influence the direction of wind or water flow, thus changing the distribution of SOC (Doetterl et al. 2012). The mechanisms of detachment, transport, and deposition, and variation in factors related to soil erosion have been greatly studied over the last 15 years (Berhe et al. 2008), and further understanding the redistribution of SOC is essential for quantification of the global carbon budget (Van Oost et al. 2007, Lal and Pimentel 2008). In the high Arctic tundra regions, the topography consists of hilly areas where snow and glacial melting has altered soil surface features. These processes have the ability to influence SOC distribution as well. Despite the significance of these processes, however, existing studies on SOC distribution related to geomorphology are very limited in the high Arctic.
Carbon storage and turnover in soil is directly related to the quality of available SOC (Torn et al. 2009). Since the SOC consists of a heterogeneous mixture of C substrates, there are many physical and/or chemical approaches to distinguish labile, slow, and recalcitrant fractions of SOC (Sollins et al. 1996, Wander 2004). Each fraction can provide information about the sensitivity of SOC pools to external changes, long-term C sequestration, etc. (Wander 2004). One popular method for SOC characterization is physical fractionation depending on density and size. By using dense liquids, Golchin et al. (1994) separated SOC into two different fractions: (1) light fraction (LF), being composed of fresh or partially decomposed plant materials and (2) heavy fraction (HF), which is associated with minerals. Although SOC fractionation has been widely used in many soil studies, SOC characterization with Arctic soil has been poorly studied (Paré and Bedard-Haughn 2011). Therefore, this study pursued the influence of geomorphological features over SOC distribution in the high Arctic. We also tried to understand the characteristics of SOC in the high Arctic by using a fractionation method.
- Site description
This study was conducted on the exterior of the Vestre Lovénbreen moraine in the Ny-Ålesund area, Svalbard, Norway. The average annual air temperature and precipitation in Ny- Ålesund were -6.3ºC and 385 mm respectively (Norwegian Meteorological Institute). Since the Little Ice Age (at the end of the last century), mild climate resulted in the significant decrease of glacier in Svalbard (Haldorsen and Heim 1999). Three study sites (High, Mid, and Low) were chosen based on the altitude and differences in levels of vegetation establishment. The High site (78º54′33.92″ N, 11º58′0.14″ E, elevation 53 m) is located directly below the glacial drift ( Fig. 1 ). According to the map from Haldorsen and Heim (1999), the most apparent glacial terminus was formed in 1921, with the High site located about 50 m from the moraine. The Mid site (78º54′38.48″ N, 11º58′30.25″ E, elevation 27 m) is located approximately 220 m northeast from the High site, and the Low site (78º54′39.67″ N, 11º58′33.93″ E, elevation 23 m) is approximately 50 m away from the Mid site ( Fig. 1 ). The Low site was located very close to the stream. All three sites were selected for being slightly higher than their surroundings and for being located in between the stream paths where water was not flowing during the sampling period.
PPT Slide
Lager Image
(a) A map showing the location of three sites (red dots; Low, Mid, and High) in Ny-Ålesund. The image is a subset of aerial photograph S2009 13822 641, © Norwegian Polar Institute. Photos from three study sites (b) High, (c) Mid, and (d) Low sites.
- Vegetation survey and aboveground biomass measurement
Ten quadrates (1 × 1 m) were established in each site for plant investigation in August 2011. All vascular plants occurring in the quadrates were recorded, and their coverage percentages were estimated visually. The importance value for each species was calculated by measuring the average value of both relative frequency and relative coverage at each site. Species nomenclature was followed by Rönning (1996). Three additional quadrates (0.5 × 0.5 m) were established for measuring plant aboveground biomass. All aboveground parts of vascular plants located inside of the quadrate were harvested, and their weights were measured after drying at 60ºC for 48 h.
- Soil sampling
Soil sampling was conducted after the vegetation survey. Soil samples were collected from depths of 0–5, 5–10, and 10–15 cm below ground surface at each of the three points, and then pooled together by depth to make one replicate sample (Kimble et al. 2001). Thus, a total of three replicate soil samples were collected from each site. Soil samples were moved to the lab in the Korea Arctic Research Station (i.e., DASAN) and oven-dried at 45ºC, and sieved through a 2-mm sieve for further soil analyses.
- Soil physical and chemical analyses
Soil for textural analysis was treated with H 2 O 2 to remove organic matter. A sand size fraction was determined by wet sieving, and silt and clay fractions were determined by using Micrometrics Sedigraph 5120 (Micromeritics, Norcross, GA, USA). The sedigraph data were processed for modal size analysis by the method of Jones et al. (1988). Soil was ground using a Ball mill and passed through a 250-µm sieve. Total carbon (TC) and total nitrogen (TN) contents were measured following combustion at 950ºC using an elemental analyzer (FlashEA 1112; Thermo Fisher Scientific, Waltham, MA, USA) (Nelson and Sommers 1996), and total inorganic carbon (TIC) content was determined by CO 2 gas production using a CO 2 coulometer (CM5014; UIC Inc, Joliet, IL, USA) after treating powder soil sample with 42.5% phosphoric acid at 80ºC for 10 minutes. The SOC content was calculated by subtraction of TIC and coal-carbon (coal-C) contents estimated by density fractionation from TC contents. To characterize SOC, density-size fractionation was performed (modified from Six et al. 1999). Thirty mL of sodium polytungstate solution (SPT, density 1.55 g cm -3 ) was mixed with 10 g of the soil, and the floating materials (free light fraction, FLF) were collected by using pre-combusted GF/A filters (Paré and Bedard-Haughn 2011). Used SPT solution was recycled according to the method from Six et al. (2000). The remaining soil (HF) was dispersed with 0.5% sodium hexametaphosphate solution, shaking for 18 h, and wetsieved through a 53-µm sieve (Six et al. 2002). The materials on the sieve were the sand + iPOM (particulate organic matter occurring within aggregates) fraction, and this fraction passed through a 53-µm sieve was mSOC (mineral- associated SOC). All soil fractions were dried at 45ºC after fractionation. Sand +iPOM and mSOC fractions were acid-washed with 1 M HCl to remove inorganic carbon. Coal pieces were manually removed from the FLF with the aid of a microscope, and they were then weighed. All fractions were weighed, ground using a pestle and mortar, and then passed through a 250-µm sieve for SOC and TN analyses.
- Statistical analyses
Prior to statistical analysis, the normality of data and constant variance of errors were examined. One-way ANOVA model was used to test whether there were differences between any of the means in three sites (R Development Core Team 2011). When significant differences were observed ( P < 0.05), a Tukey's HSD method was used to separate mean differences as a post-hoc analysis.
- Plant coverage, importance value, and aboveground biomass
Most measured parameters in plants were similar between High and Mid sites, while lower numbers of plant species, plant coverage, and aboveground biomass were observed at the Low site. While 12 plant species were recorded in both the High and Mid sites, only six species were observed in the Low site ( Table 1 ). Salix polaris was a dominant species in all three sites. In the High site, vascular plant coverage was about 81%, with the dominant species being S . polaris and other common species being Bistorta vivipara , Saxifraga oppositifolia , and Carex fuliginosa ssp. misandra . In the Mid site, 73% of the soil was covered with plants, and S . polaris and S . oppositifolia were the most dominant species ( Table 1 ). In the Low site, total coverage was the lowest among three sites with the greater part of the observed area composed of biological soil crusts (BSC), mosses, and bare ground. Aboveground biomass of vascular plants in the Low site was significantly lower than that measured for both the Mid and High sites ( P < 0.05).
Vegetation index and aboveground biomass in the study sites
PPT Slide
Lager Image
Different small letters in the rows of total coverage and aboveground biomass indicate significant differences among sites (P < 0.05). '-' denotes that species was not found in the quadrates. Numbers in the parenthesis indicate standard error (n = 10 for total coverage and n = 3 for aboveground biomass).
- Soil texture
Soil texture in the Low site was different from that in the Mid and High sites, while the contents of sand, silt, and clay measured in the Mid site were similar to those measured in the High site. On the other hand, sand content in the Low site accounted for more than 50% in samples collected from all three depths, which was significantly higher than measurements from the Mid and High sites ( P < 0.05) ( Fig. 2 ). Thus, both silt and clay contents were significantly lower in the Low than the Mid and High sites. In all three sites, the sand content increased with depth.
PPT Slide
Lager Image
Soil textural differences among three sites. Particle size distribution for 0-5 cm depth: (a) sand, (b) silt, and (c) clay, that for 5-10 cm depth: (d) sand, (e) silt, and (f ) clay, and that for 10-15 cm depth: (g) sand, (h) silt, and (i) clay. Different small letters for the each particle size in each depth showed significant differences among sites (P < 0.05). 'ns' indicates 'not significantly different.' Each bar indicates the standard error (n = 3).
- SOC distribution and characterization
The TC, SOC, and TN contents of the Mid site were higher than those measured for the Low and High sites ( Table 2 ). The SOC content for samples collected from a 0–5 cm depth was in order of Mid, Low, and High sites. The SOC content in the Mid site (126.9 mg C g -1 soil) was four times higher than that of the High site for 0–5 cm depth, however there were no other statistical differences between the Mid and Low sites and between the High and Low sites for samples collected from the 0–5 cm depth ( Table 2 ). SOC contents in the Mid site were 85.1 and 65.4 mg C g -1 soil for 5–10 and 10–15 cm depths, respectively, and these were significantly higher than those measured for the other two sites ( P < 0.05). The SOC content in the Mid site ( Table 2 ) was similar to that reported in Hodkinson et al. (2003) from the oldest site (1,900 years old) unaffected by recent glaciations in Svalbard. Thus, we might assume that the Mid site also has not been affected by recent disturbances.
Soil chemical properties in the study site
PPT Slide
Lager Image
Different small letters in each row indicate significant differences among sites (P < 0.05). SE indicates standard error (n = 3). 'ns' indicates ‘not significantly different.'
The SOC content in the High site was much lower than the Mid site, however vegetation parameters in the High site were similar to the Mid site ( Table 1 , 2 ). This discrepancy could be explained by the location of the High site in close proximity to the most apparent recent glacier moraine in 1921 (Haldorsen and Heim 1999). Thus, it is possible that the High site had been affected by glacial advances prior to 1921. The low SOC content in the High site could also be associated with the unconsolidated glacier drifts, which could have been moved to the High site.
The Low site showed a higher SOC content with very sparse vegetation cover when compared to the Mid site. In view of its low vegetation cover and high sand content ( Table 1 , Fig. 2 ), we could infer that the Low site has been previously disturbed. Since the Low site is the farthest from the glacier moraine and close to the Mid site, the soil surface should have been covered with vegetation similar to the Mid site under no significant disturbances. Aerial images have shown changes in the stream width around the sampling area in the past (data not shown). In addition, the Low site was very near to the stream with an altitude lower than the other sites. This geographical location would have made the Low site susceptible to runoff disturbances from glaciers and/or snow melt. There was also a historical report for the high glacier mass losses over the Vestre Lovénbreen during the period of 1966–1977 (Etzelmoüller and Sollid 1996). These glacier mass changes would have affected the discharge and runoff. The increased discharge would have resulted in increased sediment transport (Etzelmoüller and Sollid 1996). Therefore, a higher proportion of sand particles might have been left in the Low site after fine silt and clay particles were transported by the highly active glacier/snow melt stream.
While the TIC content was very low as 0.1–0.4 mg C g -1 soil in the Low and Mid sites, the High site contained 16.5 mg C g -1 soil as a TIC form, which constituted about 34% of the total TC contents ( Table 2 ). TN contents followed similar trends to the SOC contents at all three depths. The C/N ratio for the 0–5 cm depth in the Low site was 17.8, which was significantly higher than the ratios calculated for the other two sites ( P < 0.05). The C/N ratio ranged from 11 to 14 for other sites and depths.
Free light fraction (FLF) among the density-size fractions was higher in the Mid than in the High site ( Fig. 3 ). While soil from the High site was comprised of 1% of FLF and 99% of HF, the Mid site soil contained 7% of FLF and 93% of HF ( Fig. 3 ). This means that the Mid site contained more fresh and un-decomposed materials than the High site. The low amount of FLF in the High site directly relates to the low content of SOC. A short period of vegetation growth after de-glaciation in the High site could be one of the reasons for the low amount of FLF. The mass ratio of FLF was significantly higher in the Low and Mid sites than in the High site at the 0–5 cm depth, however at greater depths the FLF ratio in the Mid site was solely higher than that of the other two sites. The amount of FLF generally decreased as depth increased. C and N contents in FLF were not different among the study sites with the exception of N content at the 0–5 cm depth ( Table 3 ).
C and N contents in each fraction after density-size fractionation
PPT Slide
Lager Image
FLF, free light fraction; sand + iPOM, particulate organic matter occurring within aggregates; mSOC, mineral-associated SOC. Different small letters in each row indicate significant differences among sites (P < 0.05). SE indicates standard error (n = 3). 'ns' indicates 'not significantly different.'
Despite low vegetation cover in the Low site, the organic carbon content, amount of FLF, and C storage ratio in FLF were comparable to the Mid site for samples collected from the 0–5 cm depth ( Table 2 , Figs. 3 and 4 ). Free light fraction generally contains fresh or less decomposed plant residues. It is, therefore, highly labile and has a short turnover time. However, FLF could also contain the low density of coal materials (Spycher et al. 1983, Elliott and Cambardella 1991). We observed the composition of FLF through microscopy and found coal pieces in samples from all three sites. To avoid the contribution of coal-C to SOC, we removed coal particles from the FLF under microscopy. The coal in this study area was found to have about 60% C and 1% N (data not shown), thus even small amounts could affect the organic C content. When we calculated the ratio of coal-C to organic C content, the coal-C generally accounted for less than 3% of organic C prior to coal removal. However, there was a case in which 8% of organic C came from coal-C in the Mid site sample collected from the 10–15 cm depth. The existence of coal-C was not a result of soil development, but could be included with the amounts of SOC if the coal was not removed appropriately. Therefore, caution should be exercised in interpreting the organic carbon content in the coal-contaminated area.
PPT Slide
Lager Image
The mass ratio of each density-size fraction among three sites. (a) FLF (free light fraction), (b) sand + iPOM (particulate organic matter occurring within aggregates) fraction, and (c) mSOC (mineral associated soil organic carbon) showed density-size fractionation results in 0-5 cm depth, (d) FLF, (e) sand + iPOM, and (f ) mSOC showed density-size fractionation results in 5-10 cm depth, and (g) FLF, (h) sand + iPOM, and (i) mSOC showed density-size fractionation results in 10-15 cm depth. Different small letters for the each fraction in each depth showed significant differences among sites (P < 0.05). 'ns' indicates 'not significantly different.' Each bar indicates the standard error (n = 3).
PPT Slide
Lager Image
Relative ratio of C storage in each density-size fraction among three sites. (a) FLF (free light fraction), (b) sand + iPOM (particulate organic matter occurring within aggregates) fraction, and (c) mSOC (mineral associated soil organic carbon) showed density-size fractionation results in 0-5 cm depth, (d) FLF, (e) sand + iPOM, and (f) mSOC showed density-size fractionation results in 5-10 cm depth, and (g) FLF, (h) sand + iPOM, and (i) mSOC showed densitysize fractionation results in 10-15 cm depth. Different small letters for the each fraction in each depth showed significant differences among sites (P < 0.05). 'ns' indicates 'not significantly different.' Each bar indicates the standard error (n = 3).
While the mass ratio of sand + iPOM fraction was the greatest in the Low site, the amount of the mSOC fraction was found to be the highest in the High site ( Fig. 3 ). C and N contents in HF decreased with depth. This trend was more evident for the sand + iPOM fraction because while the amount of the sand particles increased, the associated iPOM decreased with depth as shown in Table 3 . In the mSOC fraction, the C and N contents in the Mid site were significantly higher than those measured in the High site. The C content in the mSOC fraction was higher in the Low site than High site, but the amount of C stored in the mSOC fraction was similar in both sites due to a higher mass of the mSOC fraction in the High site ( Table 3 , Fig. 4 ). In most cases, the total amount of C and N stored in each fraction was significantly higher in the Mid site than the other two sites ( Fig. 4 ). While the mSOC fraction was found to comprise a large proportion of the HF in the High site, C associated with the sand + iPOM fraction was the highest proportion in the Mid site at the 0–5 cm depth ( Fig. 4 ). Despite finding a similar soil texture between the two sampling locations, the difference in the major C storage fraction would indicate different SOC protection mechanisms occurring between High and Mid sites. While the SOC protection in the High site would consist mainly of mineral association by silt and clay particles, SOC protection by soil structure (such as aggregation) could also have played a role in the Mid site since the sand + iPOM fraction was obtained after the disruption of aggregates (Six et al. 2002, Lützow et al. 2006).
Our study provided detailed data on SOC in the high Arctic. There have been previous reports about the amount of SOC in Svalbard; however, the quality and individual characteristics of the SOC had not been incorporated. Moreover, there are several important factors for dealing with SOC in the high Arctic. Investigations for SOC and plants close to the glacial moraine showed that the geographical location could influence the distribution of SOC and that SOC accumulation was slower than vegetation establishment. In addition to the geographical location, disturbances should be considered as a critical factor in interpreting SOC and vegetation distribution. Lastly, quantification of SOC should be conducted cautiously when soil contains a certain amount of coal-C.
This research was supported by the National Research Foundation of Korea Grant funded by the Korean Government (MSIP) (NRF-2011-0021067) (PN13082, KOPRI).
2004 Impacts of a warming Arctic: Arctic climate impact assessment . Overview report Cambridge University Press Cambridge
Bekku YS , Nakatsubo T , Kume A , Koizumi H 2004 Soil microbial biomass, respiration rate, and temperature dependence on a successional glacier foreland in Ny-Ålesund, Svalbard Arct Antarct Alp Res[0395:SMBRRA]2.0.CO;2 36 395 - 399
Berhe AA , Harden JW , Torn MS , Harte J 2008 Linking soil organic matter dynamics and erosion-induced terrestrial carbon sequestration at different landform positions J Geophys Res
Bockheim JG , Hinkel KM 2007 The importance of “deep” organic carbon in permafrost-affected soils of Arctic Alaska Soil Sci Soc Am J 71 1889 - 1892
Burke IC , Lauenroth WK , Riggle R , Brannen P , Madigan B , Beard S 1999 Spatial variability of soil properties in the shortgrass steppe: the relative importance of topography, grazing, microsite, and plant species in controlling spatial patterns Ecosystems 2 422 - 438
Burnham JH , Sletten RS 2010 Spatial distribution of soil organic carbon in northwest Greenland and underestimates of high Arctic carbon stores Glob Biogeochem Cycles
Doetterl S , Six J , Van Wesemael B , Van Oost K 2012 Carbon cycling in eroding landscapes: geomorphic controls on soil organic C pool composition and C stabilization Glob Change Biol 18 2218 - 2232
Dutta K , Schuur EAG , Neff JC , Zimov SA 2006 Potential carbon release from permafrost soils of Northeastern Siberia Glob Change Biol 12 2336 - 2351
Elliott ET , Cambardella CA 1991 Physical separation of soil organic matter Agric Ecosyst Environ 34 407 - 419
Etzelmoüller B , Sollid JL 1996 Long-term mass balance of selected polythermal glaciers on Spitsbergen, Svalbard Norsk Geogr Tidsskr - Nor J Geogr 50 53 - 66
Finzi AC , Canham CD , Van, Breemen N 1998 Canopy treesoil interactions within temperate forests: species effects on pH and cations Ecol Appl 8 447 - 454
Golchin A , Oades JM , Skjemstad JO , Clarke P 1994 Soil structure and carbon cycling Aust J Soil Res 32 1043 - 1068
Haldorsen S , Heim M 1999 An arctic groundwater system and its dependence upon climatic change: an example from Svalbard Permafrost Periglacial Process<137::AID-PPP316>3.0.CO;2-# 10 137 - 149
Hobbie SE , Schimel JP , Trumbore SE , Randerson JR 2000 Controls over carbon storage and turnover in high-latitude soils Glob Change Biol 6 196 - 210
Hodkinson ID , Coulson SJ , Webb NR 2003 Community assembly along proglacial chronosequences in the high Arctic: vegetation and soil development in north-west Svalbard J Ecol 91 651 - 663
Jones KPN , McCave IN , Patel D 1988 A computer-interfaced sedigraph for modal size analysis of fine-grained sediment Sedimentology 35 163 - 172
Kabala C , Zapart J 2012 Initial soil development and carbon accumulation on moraines of the rapidly retreating Werenskiold Glacier, SW Spitsbergen, Svalbard archipelago Geoderma 175-176 9 - 20
Kaiser C , Meyer H , Biasi C , Rusalimova O , Barsukov P , Richter A 2007 Conservation of soil organic matter through cryoturbation in arctic soils in Siberia J Geophys Res
Kimble JM , Grossman RB , Samson-Liebig SE 2001 Methodology for sampling and preparation for soil carbon determinations. In: Assessment Methods for Soil Carbon (Lal R, Kimble JM, Follett RF, Stewart BA, eds) CRC Press Boca Raton 15 - 30
Lal R , Pimentel D 2008 Soil erosion: A carbon sink or source? Science 319 1040 - 1042
Lützow MV , Kögel-Knabner I , Ekschmitt K , Matzner E , Guggenberger G , Marschner B , Flessa H 2006 Stabilization of organic matter in temperate soils: mechanisms and their relevance under different soil conditions - a review Eur J Soil Sci 57 426 - 445
Matthews JA 1992 The Ecology of Recently-deglaciated Terrain: A Geoecological Approach to Glacier Forelands and Primary Succession Cambridge University Cambridge
McGuire AD , Anderson LG , Christensen TR , Dallimore S , Guo L , Hayes DJ , Heimann M , Lorenson TD , Macdonald RW , Roulet N 2009 Sensitivity of the carbon cycle in the Arctic to climate change Ecol Monogr 79 523 - 555
Mishra U , Riley WJ 2012 Alaskan soil carbon stocks: spatial variability and dependence on environmental factors Biogeosciences Discuss 9 5695 - 5718
Nakatsubo T , Bekku YS , Uchida M , Muraoka H , Kume A , Ohtsuka T , Masuzawa T , Kanda H , Koizumi H 2005 Ecosystem development and carbon cycle on a glacier foreland in the high Arctic, Ny-Ålesund, Svalbard J Plant Res 118 173 - 179
Nelson DW , Sommers LE 1996 Total carbon, organic carbon, and organic matter: laboratory methods. In: Methods of Soil Analysis. Part 3. Chemical Methods (Sparks DL, Page AL, Helmke PA, Loeppert RH, Soltanpour PN, Tabatabi MA, Johnston CT, Sumner ME, eds) SSSA Madison, WI 961 - 1010
Norwegian Meteorological Institute. Weather statistics for Svalbard Airport observation site (Svalbard)
Paré MC , Bedard-Haughn A 2011 Optimum liquid density in separation of the physically uncomplexed organic matter in Arctic soils Can J Soil Sci 91 65 - 68
2011 R: A language and environment for statistical computing R Foundation for Statistical Computing Vienna
Rönning OI 1996 The Flora of Svalbard. Polar handbook Norwegian Polar Institute Oslo
Schaetzl RJ , Anderson S 2005 Soils: Genesis and geomorphology Cambridge University Press Cambridge, New York
Schuur EAG , Bockheim J , Canadell JG , Euskirchen E , Field CB , Goryachkin SV , Hagemann S , Kuhry P , Lahleur P , Lee H , Mazhitova G , Nelson FE , Rinke A , Romanovsky VE , Shiklomanov N , Tarnocai C , Venevsky S , Vogel JG , Zimov SA 2008 Vulnerability of permafrost carbon to climate change: Implications for the global carbon cycle Bioscience 58 701 - 714
Six J , Callewaert P , Lenders S , De Gryze S , Morris SJ , Gregorich EG , Paul EA , Paustian K 2002 Measuring and understanding carbon storage in afforested soils by physical fractionation Soil Sci Soc Am J 66 1981 - 1987
Six J , Elliott ET , Paustian K 2000 Soil macroaggregate turnover and microaggregate formation: a mechanism for C sequestration under no-tillage agriculture Soil Biol Biochem 32 2099 - 2103
Six J , Schultz PA , Jastrow JD , Merckx R 1999 Recycling of sodium polytungstate used in soil organic matter studies Soil Biol Biochem 31 1193 - 1196
Sollins P , Homann P , Caldwell BA 1996 Stabilization and destabilization of soil organic matter: mechanisms and controls Geoderma 74 65 - 105
Spycher G , Sollins P , Rose S 1983 Carbon and nitrogen in the light fraction of a forest soil: Vertical distribution and seasonal patterns Soil Sci 135 79 - 87
Tarnocai C , Canadell JG , Schuur EAG , Kuhry P , Mazhitova G , Zimov S 2009 Soil organic carbon pools in the northern circumpolar permafrost region Glob Biogeochem Cycles
Torn MS , Swanston CW , Castanha C , Trumbore SE 2009 Storage and turnover of organic matter in soil. In: Biophysico-chemical processes involving natural nonliving organic matter in environmental systems (Senesi N, Xing B, Huang PM, eds) Wiley Hoboken, New Jersey 215 - 268
Van Oost K , Quine TA , Govers G , Gryze SD , Six J , Harden JW , Ritchie JC , McCarty GW , Heckrath G , Kosmas C , Giraldez JV , Silva JRMD , Merckx R 2007 The impact of agricultural soil erosion on the global carbon cycle Science 318 626 - 629
Wander M 2004 Soil organic matter fractions and their relevance to soil function. In: Soil organic matter in sustainable agriculture (Magdoff F, Ray RW, eds) CRC Press Boca Raton 67 - 102