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Pedological Approach for Soil Carbon Stock Estimating in Gayo Highland Coffee Plantations, Aceh-Indonesia

Khusrizal1,*, Nasruddin1, Yusra1, Fadhilah Harahap1, Basyaruddin2, Muhammad Rusdi3
1Program Study of Agroecotechnology, Faculty of Agriculture, Universitas Malikussaleh, Aceh Utara, Aceh-24355, Indonesia.
2Program Study of Agrotechnology, Faculty of Agriculture, Universitas Islam Sumatera Utara, Medan-20217, Indonesia.
3Remote Sensing and Cartography Lab, Universitas Syiah Kuala, Aceh-23111, Indonesia.

Background: Soil carbon stocks (SCS) play a key role in regulating soil fertility and global climate. Determining the amount of SCS  through a pedological approach is still limited, while the amount of SCS in highland areas based on elevation is still debated, also the role of elevation-slope combinations on SCS is not well known. This research aims to determine the amount of SCS in each soil horizon, elevation, slope position and also the effect of elevation and slope position on SCS.

Methods: A total of 46 undisturbed and disturbed soil samples were collected in each pedogenic horizon from 12 soil profiles at four elevation levels ie 700-715; 1000-1060; 1300-1351; 1600-1616 meter above sea levael (m.a.s.l.) and three slope positions (foot, middle, and upper of slope) in Gayo highland Arabica coffee plantation fields.

Result: The results showed that SCS of soil horizons in Arabica coffee plantations in the Gayo highlands varied from 5.97 to 84.56 MgC.ha-1, with SCS of the upper horizons being higher than those of the lower horizons. The amount of solum SCS from the soil profile also varied from 73.91 to 218.25 MgC.ha-1. Based on the elevation, the highest mean amount of SCS of the solum was 157.35 MgC.ha-1 which was found at the elevation of 1600-1616 m.a.s.l, whereas the mean amount of solum according to the slope position was 167.34 MgC.ha-1 which was found on the foot of slope. Elevation and slope position significantly increased the SCS with the highest value found in the combination of 1000-1060 m.a.s.l, and foot of slope.

Soil carbon stocks (SCS) play an important role in controlling soil quality and global climate dynamics (Elbasiouny et al., 2022). In the calculation of SCS content, the organic carbon (OC), bulk density (BD) and soil thickness/depth variables are used (FAO, 2019). However, the soil thicknesses that are often used are those that are made according to what the researcher wants, such as 10, 20, or 30 cm, incloding what was done by Urgessa and Ferede (2023) and Khusrizal et al. (2023). Meanwhile, calculating SCS using the desired soil horizon thickness pedogenetically has not been widely performed. On the other hand, information on the effect of the interaction between elevation and slope position on SCS in highland coffee plantation is also very limited and the level of SCS content at various elevations is still debated.                    
       
Soil thickness/depth as one of the variables in determining SCS that is prevalent and commonly practiced so far is based on the thickness/depth of certain soil layers (FAO, 2019; Tadiello et al., 2022) and not referring to the thickness of the horizon as a pedogenic horizon formed and developed by pedogenesis (horizon). Determining the depth of a soil layer with a certain specified size is something that is considered to poorly describe the characteristics of the soil in each intended layer (Phillips, 2017). However, within a single layer of a certain size, soil properties tend to vary, while within a single pedogenic horizon, soil properties are considered more homogeneous  (Hartemink et al., 2020). Similarly, regarding the OC content and BD value of a layer used as variables, the amount of soil SCS content results is considered to be less descriptive for the layer. These two soil parameters in a horizon can be determined by other soil properties, especially those that become criteria or references as well as when drawing horizon boundaries (Jiang et al., 2021). Organic matter (OM) content, for instance, can also be used to determine horizon boundaries as it can morphologically affect the soil color. The same applies to BD values as it can be affected by the fineness or coarseness of the soil fraction which is also used to determine the horizon boundaries (Reshi et al., 2022). The determination of soil depth based on pedogenic horizon thickness to calculate SCS content can accurately describe each soil horizon. Thus, the amount of SCS in the upper horizon and below may be the same or different. By determining the amount of SCS in each horizon, the amount of SCS in a soil solum will also be obtained, where many have only informed the amount of SCS at a certain soil depth. Information on the amount of SCS in the solum will be interesting data considering that the solum is more related to soil quality which is the medium where plants grow.
       
Elevation and slope position are topographic components associated with soil properties (Yuan​ et al., 2019), as well as in the Gayo highland region where the land is used as an Arabica coffee plantation area that has various elevations and slope positions. Both elevation and slope position can affect the amount of SCS (Zhang et al., 2021). Regarding the relationship between elevation and SCS, several studies reported different results, which is still a matter of a debate. One study suggests that SCS decrease as elevation increases (Kobler et al., 2019; Seifu et al., 2021). Other studies suggest the opposite where SCS increase along with the elevation (Wan et al., 2019; Massaccesi et al., 2020). Pragasan (2022) and Sheikh et al. (2020) also stated that SCS are positively correlated with elevation, while Bargali and Bargali (2020) and Chauhan et al. (2020) reported that SCS initially increased at low to medium elevations and then decreased at high elevations. The inconsistency in the magnitude of SCS at certain elevation positions is strongly related to the properties of the soil and its environment, which can have a direct or indirect effect, especially with the distribution of BD, OC values and soil fractions found in the soil (Merabtene et al., 2021; Zhang et al., 2021),  where BD and OC  are used as components to determine SCS, which are not homogeneous in one layer or horizon.
       
In addition to varying elevations, the Gayo highlands also have different slope positions: foot of slope, middle slope and upper slope.  Soil pH, humus content, particle size and soil moisture may differ between these slope positions (Magdic et al., 2022), as well as soil organic carbon content and BD (Bayat et al., 2017). Studies show that physico-chemical properties on upper slopes are better than those on lower slopes (Liu et al., 2017). This condition will also illustrate the difference in the amount of SCS between slope positions and indicates that the upper slope has higher SCS than the lower slope. Singh and Benbi (2018) reported the results of their research that SCS values are different at different slope positions, which are the upper slope, middle slope and lower slope where the three slope positions are in different land use, however the results of this research did not reveal the amount of SCS at the foot of the slope.   
       
The outlined results only report the relationship of elevation and SCS, as it studies the elevation and its aspect on SCS (Bangroo et al., 2017), as well as the slope position which only examines the upper and middle slopes with their SCS (Singh and Benbi, 2018; Nozari and Borůvka, 2023). Highlands with their various elevations are also associated with slopes and their various positions (Singh, 2018), hence examining the co-effects of elevation and slope position on SCS content of highland soils is needed. This research aims to determine the amount of SCS in each soil horizon and solum, elevation, slope position as well as the interaction effect of elevation and slope position on SCS in Arabica coffee plantation in the Gayo highlands.
Research site
 
The research was conducted from September 2023 to February 2024 in Gayo highland coffee plantation, Bener Meriah District, Aceh Province (Fig 1). Geographically, Bener Meriah District is located at 4°33'50"- 4°54'50"N and 96°40'57" - 97°17'00"E.

Fig 1: Location of the study area.


       
The climate data used an annual average climate data collected in the last 15 years (2009-2023), such as rainfall, temperature and humidity data obtained from the Climate Station of the Meteorology, Climatology and Geophysics Agency  of Indrapuri, Aceh Besar.  The area has an average rainfall of 2,936 mm/year. The mean annual optimum temperature is 20,7°C, and the mean annual relative humidity is 83% which belongs to the hyperthermic temperature regime.
       
The geology of the area consists of young aluvium, upper conglomerate member, Bampo formation, Baong formation, Bruksah formation, Kluet formation, Keutapang formation, Tuan unit and Volcanic. The volcanic material is the largest group found in this area.
 
Data collection and soil properties parameters
 
Soil samples were obtained through representative soil profiling, where the position/point of the representative soil profile was determined based on the elevation and slope position. In this study, the elevation consists of 4 elevation levels: 700-715, 1000-1060, 1300-1351 and 1600-1616 m.a.s.l. Furthermore, there are 3 slope positions: the foot of slope, middle slope and upper slope.
       
Soil profiles at each elevation and slope position were made to a length of 1.5 m´width of 1.0 m´depth at which no further excavation or parent material could be found. All soil profiles that became sampling points were within Arabica coffee plants with a uniform age (5 years). This intends to eliminate the effect of plant age differences on the soil properties to be studied. Soil sampling was performed on each horizon after drawing and measuring the boundaries of each horizon pedogenetically as well as giving symbol to each horizon. The soil samples taken consisted of undisturbed soil samples (with a ring of 53 mm diameter and 100 cm3 volume) and disturbed soil samples. Each 1.5 kg of disturbed soil sample taken from each horizon was put into a plastic bag for the purpose of analysis.
       
Undisturbed soil samples were taken for BD analysis using model C53 ring sample kit  (Grossman and Reinsch, 2002), while the disturbed soil samples were taken for OC analysis using Walkley and Black method. The undisturbed soil samples were air dried and sieved with a size of 10 mesh before use, specifically for the determination of OC , the samples used were those that passed the 70 mesh sieve. The determination of SCS was based on the adjusted formula of FAO (2019).
 
SCS (MgC ha-1) = OC (%) x BD (g/cm3) x dh (cm)
 
Where
SCS= Amount of soil carbon stock measured in MgC.ha-1 in each soil horizon.
OC= Amount of soil organic carbon content measured in per cent.
BD= Amount of bulk density measured in g/cm3.
Dh= Horizon thickness which is determined based on drawing horizon boundaries pedogenetically.
       
In order to obtain the amount of SCS from the solum, add up the SCS values from the highest horizon to the lowest horizon in one soil profile. The average amount of SCS from the solum at each elevation was obtained from the total SCS from the solum of the soil profiles of the three slope positions divided by three.
 
Data analysis
 
Data on soil properties, particularly BD,  OC and SCS were analyzed and presented according to the results of the 12 soil profiles. SCS data results were also presented according to elevation, slope position and soil horizon. Furthermore, to determine the effect of elevation and slope position on SCS, a two-way anova with unequal number of replicates was used, where elevation differences and slope position differences are the treatments and SCS levels are the affected parameters.
Bulk density and organic carbon
 
The values of BD and OC in the study area were varied either between soil horizons, elevations or slope positions (Table 1). The values of BD ranged from 0.56 to 1.58 g/cm3. The lowest value was found in the Bw2 horizon, elevation of 1600-1616 m.a.s.l, foot of slope, whereas the highest value was found in the BC horizon, elevation of 700-715 m.a.s.l, middle slope. Generally, BD  increased from the upper horizon to the lower horizon, the data also showed that BD  decreased as the elevation increased and were relatively similar within the slope position. The dynamics of BD  in a soil can be affected by various factors, especially OM, soil fraction and soil structure. The increase in BD  as soil depth increases can be due to the increase in coarse fraction, soil compaction and decrease in soil OM content (Shan et al., 2019). Moreover, BD can also increase as the soil depth decreases which can be due to a decrease in soil porosity (Munny et al., 2021). The low BD at the elevation of 1600-1616 m.a.s.l can be caused by a high OM and finer soil texture. Soils with higher OM and finer soil fractions will have lower BD values (Ruehlmann, 2020; Azuka and Idu, 2022).

Table 1: Value of bulk density and organic carbon according elevation and slope position.


       
Soil OC content also varied within the soil horizon, elevation and slope position. The OC ranged from 0.27-3.18% where the lowest was found in the BC horizon with the elevation of 700-715 m.a.s.l in the middle slope, while the highest was found in the Bw horizon with the elevation of 1600-1616 m.a.s.l in the lower slope. The OC of the upper horizon is higher than that of the lower horizon, this is because the OC tends to increase as the elevation increases. The OC content at the lower slope is higher than the middle and upper slopes. The variation of OC in the soil profiles is mainly due to its translocation from the upper horizons to the lower horizons which is possible as OC can be carried along with the water movement and then distributed and stored in the soil depending on the soil properties such as being held in clay textures or denser layers, so that they do not continue to scour (Yang et al., 2022). Despite this, the fact shows that the lower amount of OC is more likely due to the higher amount of OM at the surface compared to those below (Wang et al., 2021).  The low amount of OC at lower elevations is related to the weathering of OM where at these elevations the process of weathering is more intense due to higher temperatures, whereas at higher elevations the temperature is lower which can inhibit the process of OM weathering by microorganisms (Barros et al., 2021). The high amount of OC at the lower slope compared to middle and upper slope is also related to the accumulation of OC at the lower slope which is carried from the upper and middle slope by water scouring, where Liu et al. (2017) also found that the SOC  content was high or increased on foot of slopes.
 
Soil carbon stocks
 
The amount of SCS in each horizon from the 12 representative soil profiles observed is presented in Fig 2 and it can be seen that the amount of SCS in each horizon is relatively varied, ranging from 5.97 to 84.56 MgC.ha-1. The lowest SCS level (5.97 MgC.ha-1) was found in BC horizon at elevation of 700-715 m.a.s.l at the middle slope, while the highest amount of SCS (84.56 MgC.ha-1) was found in Bw horizon at the same elevation at the foot of slope. In general, though, it can be seen that the amount of SCS decreases from the upper horizon to the foot of horizon. The data shown in Fig 3 also informs that the SCS  of each soil profile varies among different elevations and slope positions. The variation in SCS of each horizon is due to the distribution of OC content, BD value and horizon thickness, all of which are variables that determine SCS (Poeplau and Gregorich, 2023). The high amount of SCS in the Bw horizon in this case is more affected by the horizon thickness and soil BD than its OC. However, overall, it can be seen that the OC also determines the amount of SCS in a soil profile whereby the OC tends to decrease from the upper horizon to the lower horizon which has caused the distribution of SCS to decrease as the horizon deepens. Studies by Zeng et al. (2021) also reported that OM or its fractions are materials that contribute significantly to the amount of carbon stock value of a soil. The same condition was also revealed by Mueller and Koegel-Knabner (2009) stating that OC content is a variable that determines the amount of SCS, where the amount depends on the distribution pattern of OC in the soil profile. The variation of SCS in soil profiles across elevations and slope positions is also controlled by OC and BD which are caused by land management practices such as coffee plantation, which have contributed to soil properties including OC and BD, as well as to the horizon thickness in the study area. This phenomenon was also stated by Hartemink et al. (2020) that variations in soil properties and horizon thickness can be affected by its management practices.

Fig 2: Soil carbon stock levels for each horizon at four elevations and slope positions.


      
The amount of solum SCS at various elevations and slope positions is presented in Fig 3a, the average amount of solum SCS at each elevation is shown in Fig 3b and the average amount of SCS at slope positions is shown in Fig 3c. The amount of solum SCS at various elevations and slope positions appears to be highly variable both within the elevation and slope positions ranging from 73.91-218.25 MgC.ha-1. The average amount of solum SCS at each elevation presented in Fig 3b ranged from 127.57-157.35 MgC.ha-1. The highest amount was found at the highest elevation which is 1600-1616 m.a.s.l while the lowest amount was found at the elevation of 1300-1351 m.a.s.l. The average amount of solum SCS based on the slope position as shown in Fig 3c ranged from 133.40-167.34 MgC.ha-1. The lowest average was found at the upper slope and the highest was found at foot of slope.

Fig 3: Number of solum SCS at various elevations and slope positions (a), mean SCS of the solum for each elevation (b) and SCS average by slope position (c).


       
The various amount of solum SCS as shown in Fig 3a seems to follow the distribution pattern of soil OC, BD and solum thickness which are also variable. However, when looking at the average amount of solum SCS according to the elevation (Fig 3b), the highest amount was found at the highest elevation which is 1600-1616 m.a.s.l. The high amount of solum SCS at this elevation is strongly affected by the OC, meanwhile the BD is relatively low and solum thickness is thinner than solum at other elevations (Fig 3). It is understood that the high amount of OC at high elevations is caused by the inhibition of the decomposition process of SOM due to low temperature and several studies have revealed that temperature has a significant effect on the availability of soil OC (Barros et al., 2021), If the environmental temperature is low, the activity of decomposing microorganisms is also low, resulting in high soil OC (Barros et al., 2021). Other studies also suggest that SCS are higher or increase as the elevation increases (Massaccesi et al., 2020; Sheikh et al., 2020).

Relationship of elevation and slope position on soil
 
The results on the analysis of variance on the effect of elevation and slope position on SCS in Arabica coffee plantations in Gayo highlands are presented in Table 2. 
      
Based on the analysis of variance presented in Table 2, it can be seen that elevation and slope position significantly interacted with SCS. The table also shows that the interaction between elevation and slope position resulted in the highest SCS of 7.54 with the combination of 1000-1016 m.a.s.l in elevation and foot of slope position. This is reasonable as at these elevations the amount of SCS is higher which is due to not only a higher OC but also a thicker pedogenic horizon. If the horizon thickness is higher, the SCS value will also be higher. Horizon thickness/depth is one of the variables that determine the amount of SCS as shown in the equation of SCS calculation (FAO, 2019).

Table 2: The effect of elevation and slope position on SCS of Arabica coffee plantation in gayo highlands.


      
 Previously, it was mentioned that the high amount of SCS at the lower slope can be caused by the high amount of OC coming from the slope above, either at the summit or foot slope. This occurred as a result of water scouring or soil erosion. Similar conditions were also reported by Liu et al. (2017) who found that soil organic carbon levels were higher at the foot of slope compared to the upper slope.
The amount of soil SCS in each horizon in Gayo highland coffee plantations varied as well as the amount of solum SCS at each elevation. The highest mean amount of solum SCS was found at the elevation of 1600-1616 m.a.s.l. The average amount of solum SCS at each slope position was varied, where the average amount is obtained at the foot of the slope. The combination of elevation and slope position increased the amount of SCS, with the highest amount found at the elevation of 1000-1060 m.a.s.l. and at the foot of the slope position.
We thank the Institution of Research and Community Services (LPPM) at Universitas Malikussaleh for funding this resesarch through PNBP Grant Year 2023.
 
Disclaimers
 
The views and conclusions expressed in this article are solely those of the authors and do not necessarily represent the views of their affiliated institutions. The authors are responsible for the accuracy and completeness of the information provided, but do not accept any liability for any direct or indirect losses resulting from the use of this content.
 
Informed consent
 
All animal procedures for experiments were approved by the Committee of Experimental Animal care and handling techniques were approved by the University of Animal Care Committee.
The authors declare that there are no conflicts of interest regarding the publication of this article. No funding or sponsorship influenced the design of the study, data collection, analysis, decision to publish, or preparation of the manuscript.

  1. Azuka, C. and Idu, M.C. (2022). Effect of organic manures application on soil physicochemical properties of coarse- textured ultisol and okra productivity in Nsukka, Southeastern Nigeria. Agricultural Science Digest- A Research Journal. 42(2): 145-151. doi: 10.18805/ag.D-326.

  2. Bangroo, S., Najar, G. and Rasool, A. (2017). Effect of altitude and aspect on soil organic carbon and nitrogen stocks in the Himalayan Mawer Forest Range. Catena. 158: 63-68. 

  3. Bargali, K. and Bargali, S. (2020). Effect of size and altitude on soil organic carbon stock in homegarden agroforestry system in Central Himalaya, India. Acta Ecologica Sinica. 40(6): 483-491. 

  4. Barros, N., Rodríguez-Añon, J.A., Proupín, J. and Pérez-Cruzado, C. (2021). The effect of extreme temperatures on soil organic matter decomposition from Atlantic oak forest ecosystems. Iscience. 24(12): 103527. https://doi.org/ 10.1016/j.isci.2021.103527.

  5. Bayat, H., Sheklabadi, M., Moradhaseli, M. and Ebrahimi, E. (2017). Effects of slope aspect, grazing, and sampling position on the soil penetration resistance curve. Geoderma. 303: 150-164. 

  6. Chauhan, M., Kumar, M. and Kumar, A. (2020). Impact of carbon stocks of anogeissus latifolia on climate change and socioeconomic development: A case study of Garhwal Himalaya, India. Water, Air and Soil Pollution. 231: 1-15. 

  7. Elbasiouny, H., El-Ramady, H., Elbehiry, F., Rajput, V.D., Minkina, T. and Mandzhieva, S. (2022). Plant nutrition under climate change and soil carbon sequestration. Sustainability. 14(2): 914. doi: https://doi.org/10.3390/su14020914.

  8. FAO. (2019). Measuring and modelling soil carbon stocks and stock changes in livestock production systems: Guidelines for assessment (Version 1). Livestock Environmental Assessment and Performance (LEAP) Partnership. Rome, FAO. 170 pp Licence: CC BY-NC-SA 3.0 IGO.: Food and Agriculture Organization of the United Nations.

  9. Grossman, R. and Reinsch, T. (2002). 2.1 Bulk density and linear extensibility. Methods of soil analysis: Part 4 physical methods. 5: 201-228. 

  10. Hartemink, A., Zhang, Y., Bockheim, J., Curi, N., Silva, S., Grauer- Gray, J., Lowe, D.J. and Krasilnikov, P. (2020). Soil horizon variation: A review. Advances in agronomy. 160(1): 125-185. 

  11. Jiang, Z.D., Owens, P.R., Zhang, C.L., Brye, K.R., Weindorf, D. C., Adhikari, K., Sun, Z.X., Sun, F.J. and Wang, Q.B. (2021). Towards a dynamic soil survey: Identifying and delineating soil horizons in situ using deep learning. Geoderma. 401: 115341. 

  12. Khusrizal, Nasruddin, Yusra, Hidayat, A. and Rusdi, M. (2023). Soil fractions affect on soil organic carbon stock in the coastal land of Aceh Utara Regency, Indonesia. Agricultural Science Digest. 43(6): 776-783. doi: 10.18 805/ag.DF-564.

  13. Kobler, J., Zehetgruber, B., Dirnböck, T., Jandl, R., Mirtl, M. and Schindlbacher, A. (2019). Effects of aspect and altitude on carbon cycling processes in a temperate mountain forest catchment. Landscape Ecology. 34: 325-340. 

  14. Liu, M., Han, G., Li, Z., Liu, T., Yang, X., Wu, Y. and Song, Z. (2017). Effects of slope position and land use on the stability of aggregate-associated organic carbon in calcareous soils. Acta Geochimica. 36: 456-461. 

  15. Magdic, I., Safner, T., Rubiniæ, V., Rutiæ, F., Husnjak, S. and Filipoviæ, V. (2022). Effect of slope position on soil properties and soil moisture regime of Stagnosol in the vineyard. Journal of Hydrology and Hydromechanics. 70(1): 62-73. 

  16. Massaccesi, L., De Feudis, M., Leccese, A. and Agnelli, A. (2020). Altitude and vegetation affect soil organic carbon, basal respiration and microbial biomass in Apennine forest soils. Forests. 11(6): 710. 

  17. Merabtene, M.D., Faraoun, F., Mlih, R., Djellouli, R., Latreche, A. and Bol, R. (2021). Forest soil organic carbon stocks of Tessala Mount in North-West Algeria-preliminary estimates. Frontiers in Environmental Science. 8: 520284. doi: 10.3389/fenvs.2020.520284.

  18. Mueller, C.W. and Koegel-Knabner, I. (2009). Soil organic carbon stocks, distribution, and composition affected by historic land use changes on adjacent sites. Biology and Fertility of Soils. 45(4): 347-359. 

  19. Munny, N.N., Khan, M.Z. and Hanif, M. (2021). Vertical distribution of soil properties and organic carbon under different land use systems in saline soils of Bangladesh. Environmental Challenges, 4: 100097. 

  20. Nozari, S. and Borùvka, L. (2023). The effects of slope and altitude on soil organic carbon and clay content in different land- uses: A case study in the Czech Republic. Soil and Water Research. 18(3): 204-218. 

  21. Phillips, J.D. (2017). Soil complexity and pedogenesis. Soil Science. 182(4): 117-127. 

  22. Poeplau, C. and Gregorich, E. (2023). Advances in Measuring Soil Organic Carbon Stocks and Dynamics at the Profile Scale. In: Understanding and Fostering Soil Carbon Sequestration,  [Rumpel, C. (Ed.)] : Burleigh Dodds Science Publishing, Cambridge, UK. (pp. 323-350).

  23. Pragasan, L.A. (2022). Tree carbon stock and its relationship to key factors from a tropical hill forest of Tamil Nadu, India. Geology, Ecology and Landscapes. 6(1): 32-39. doi: https://doi.org/10.1080/24749508.2020.1742510.

  24. Reshi, O., Mir, L., Abdullah, H., Rasool, R., Kumar, S., Mir, A.H., Naikoo, N.B., Bangroo, S.A. and Bashir, O. (2022). Determination of horizon, Its boundary and depth in the soil profiles of North Western Himalayas. International Journal of Plant and Soil Science. 34(23): 1123-1134. 

  25. Ruehlmann, J. (2020). Soil particle density as affected by soil texture and soil organic matter: 1. Partitioning of SOM in conceptional fractions and derivation of a variable SOC to SOM conversion factor. Geoderma. 375: 114542. 

  26. Seifu, W., Elias, E., Gebresamuel, G. and Khanal, S. (2021). Impact of land use type and altitudinal gradient on topsoil organic carbon and nitrogen stocks in the semi-arid watershed of northern Ethiopia. Heliyon. 7(4): e06770. doi: https:// doi.org/10.1016/j.heliyon.2021.e06770.

  27. Shan, L., Li, Q.Q., Wang, C.Q., Bing, L., Gao, X.S., Li, Y.D. and Wu, D.Y. (2019). Spatial variability of soil bulk density and its controlling factors in an agricultural intensive area of Chengdu Plain, Southwest China. Journal of Integrative Agriculture. 18(2): 290-300. 

  28. Sheikh, M.A., Kumar, M., Todaria, N. and Pandey, R. (2020). Biomass and soil carbon along altitudinal gradients in temperate Cedrus deodara forests in Central Himalaya, India: Implications for climate change mitigation. Ecological Indicators. 111: 106025. doi: https://doi.org/10.1016/ j.ecolind.2019.106025

  29. Singh, P. and Benbi, D.K. (2018). Soil organic carbon pool changes in relation to slope position and land-use in Indian lower Himalayas. Catena. 166: 171-180. doi: https://doi.org/ 10.1016/j.catena.2018.04.006

  30. Singh, S. (2018). Understanding the role of slope aspect in shaping the vegetation attributes and soil properties in Montane ecosystems. Tropical Ecology. 59(3): 417-430. 

  31. Tadiello, T., Perego, A., Valkama, E., Schillaci, C. and Acutis, M. (2022). Computation of total soil organic carbon stock and its standard deviation from layered soils. MethodsX. 9: 101662. 

  32. Urgessa, H.T. and Ferede, T.G. (2023). Effect of land use on plant nutrient availability and soil carbon stock of Mokonisa Machi Watershade, Dugda Dawa Woreda, West Guji Zone, Southern Ethiopia. Agricultural Science Digest-A Research Journal. 43(2): 135-142. doi: 10.18805/ag.RF- 232.

  33. Wan, Q., Zhu, G., Guo, H., Zhang, Y., Pan, H., Yong, L. and Ma, H. (2019). Influence of vegetation coverage and climate environment on soil organic carbon in the Qilian Mountains. Scientific Reports. 9(1): 17623. 

  34. Wang, Y., Huang, L., Jia, X. and Zhu, Y. (2021). Distribution characteristics and controls of soil organic carbon at different spatial scales in China2  s Loess Plateau. Journal of Environmental Management. 293: 112943. 

  35. Yang, S., Dong, Y., Song, X., Wu, H., Zhao, X., Yang, J., Chen, S., Smith, J. and Zhang, G.-L. (2022). Vertical distribution and influencing factors of deep soil organic carbon in a typical subtropical agricultural watershed. Agriculture, Ecosystems and Environment. 339: 108141. 

  36. Yuan, Z.-Q., Fang, C., Zhang, R., Li, F.-M., Javaid, M.M. and Janssens, I.A. (2019). Topographic influences on soil properties and aboveground biomass in lucerne-rich vegetation in a semi-arid environment. Geoderma. 344: 137-143. 

  37. Zeng, R., Wei, Y., Huang, J., Chen, X. and Cai, C. (2021). Soil organic carbon stock and fractional distribution across central-south China. International Soil and Water Conservation Research. 9(4): 620-630. 

  38. Zhang, X., Li, X., Ji, X., Zhang, Z., Zhang, H., Zha, T. and Jiang, L. (2021). Elevation and total nitrogen are the critical factors that control the spatial distribution of soil organic carbon content in the shrubland on the Bashang Plateau, China. Catena, 204: 105415. doi: https://doi.org/10.1016/ j.catena.2021.105415.

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