Distribution and Factors Influencing Organic Carbon Stock in Mountain Soils in Babia Góra National Park, Poland

Reyna-Bowen, Lizardo; Lasota, Jarosław; Vera-Montenegro, Lenin; Vera-Montenegro, Baly; Błońska, Ewa

doi:10.3390/app9153070

Cited by 7 publications

(6 citation statements)

References 39 publications

(50 reference statements)

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“…Journal of Geoscience and Environment Protection P, OM, OC, C/N, S/CEC, Clay and sand contents showed a significant difference between FA and other AES namely CL, MA, and BA (Table 2). This difference between FA and others AES can be explained by the accumulations of OC in the biomass of three, shrubs, and herbaceous plants, as well as in soil horizons (Reyna-Bowen et al, 2019).…”

Section: Variability Of Soil Properties Across Aesmentioning

confidence: 76%

Soil Organic Carbon Stock and Soil Quality under Four Major Agroecosystems in the Eastern Flank of Mount Bambouto (West-Cameroon)

Wijungbwen,

Nguemezi,

Djeuhala

et al. 2023

GEP

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Assessing soil organic carbon stock (SOCS) and soil quality (SQ) helps design better agricultural practices to improve environmental sustainability and productivity. The purpose of the study is to assess SOCS and soil quality SQ in the main agroecosystems (AES) of the eastern flank of Mount Bambouto (West, Cameroon). Using multiple statistics tests and principal component analysis (PCA), SOCS and Soil Quality Index (SQI) were computed for each AES. SOCS and SQI were computed based on soil chemical properties and analysis of variance. Topsoil samples (0 -30 cm) were collected in a different AES and analyzed in the laboratory. The four AES identified and selected are cultivated land (CL), forest areas (FA), mixed areas (MA), and bush areas (BA). Further, multiple comparison tests were used to compare soils from different AES. PCA was used to select the most appropriate indicators that control SOCS and SQ. Several soil properties showed high to very high coefficient of variation within the AES. Organic matter (OM) was significantly high in FA. SOCS and SQ differ significantly (p = 0.000) between the AES. The study further indicates that the main variables controlling SQ within the eastern flank of Mount Bambouto are OM, pHw, N, C/N, and CEC. While the main soil parameters controlling SOCS are OM, OC, BD, C/N, S, and pHKCl.

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Section: Variability Of Soil Properties Across Aesmentioning

confidence: 76%

Soil Organic Carbon Stock and Soil Quality under Four Major Agroecosystems in the Eastern Flank of Mount Bambouto (West-Cameroon)

Wijungbwen,

Nguemezi,

Djeuhala

et al. 2023

GEP

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“…These predictor variables affect SOC stocks either positively or negatively. In particular, altitude has a positive relation with SOC stocks [33][34][35] while slope, warmer aspect, and crown cover have a negative relation [24,28,36]. The relationships between SOC stocks and these variables are not always consistent.…”

Section: Introductionmentioning

confidence: 94%

“…SOC stocks are the functions of several factors including the amount of above ground litter fall and root turnover, forest types, tree species diversity, canopy cover, soil conditions and vegetative cover, soil properties and moisture, soil depth, altitude, slope, aspect, and climate [20][21][22][23][24][25][26][27][28][29][30][31][32]. These predictor variables affect SOC stocks either positively or negatively.…”

Section: Introductionmentioning

confidence: 99%

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Spatial Distribution of Soil Organic Carbon in the Forests of Nepal

Malla,

Neupane

2024

Land

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Soil organic carbon (SOC) is the major constituent of the soil organic matter. SOC stocks are determined by several factors such as altitude, slope, aspect, canopy cover, and vegetation type. Using the Third National Forest Inventory (2010–2014) data of Nepal, we assessed SOC status in forests at a national scale for the better understanding of the SOC distribution within Nepal. In this study, we estimated SOC against different factors and tested the spatial distribution of SOC using analysis of variance (ANOVA). The results showed that the forests located at a higher altitude have higher SOC accumulation. In particular, broadleaved forests exhibit a higher amount of carbon stock compared to other forest types. Moreover, forests with a larger canopy cover, located on a higher slope, and with a cooler aspect are associated with a higher accumulation of SOC. The SOC stock in the forest varies according to altitude, slope, aspect, canopy cover, and forest type, which might be attributed to the change in the microclimate of the area. The significant increase in SOC amount with the increase in slope, altitude, and crown cover helps to understand the extent of SOC distribution in forests. Broadleaved forests with a larger canopy cover in the higher altitude region have a higher SOC retention potential, which is likely to contribute to mitigating the impacts of climate change by sinking more carbon into the soil.

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“…AGTB is influenced by altitude (Powell et al, 2010;Van der Laan et al, 2014;Rajput et al, 2017), temperature and precipitation (Yan et al, 2015), water availability, soil nitrogen content, and tree cover (Requena Suarez et al, 2021). Similarly, soil organic carbon (SOC) is affected by the amount of above-ground litter fall and root turnover (Andivia et al, 2016), temperature and precipitation (Sun et al, 2019), soil conditions and vegetation (Reyna-Bowen et al, 2019), species diversity (Gamfeldt et al, 2013), soil properties and moisture (Hounkpatin et al, 2018), altitude (Zinn et al, 2018), slope aspect, and soil depths (Zhu et al, 2017).…”

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confidence: 99%

Assessment of above ground biomass and soil organic carbon in the forests of Nepal under climate change scenario

Malla,

Neupane,

Köhl

2023

Front. For. Glob. Change

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IntroductionMany factors, such as climate, topography, forest management, or tree/forest attributes, influence soil organic carbon (SOC) and above-ground tree biomass (AGTB). This study focuses on assessing relationship between various predictor variables and response variables (SOC and AGTB) in the perspective of climate change scenario. The study was conducted throughout in Nepal using forest resource assessment data (2010–2014).MethodsOur study applied a random forest model to assess the status of SOC and AGTB under future climate change scenarios using 19 bioclimatic variables accompanied by other variables such as altitude, aspect, basal area, crown cover development status, distance to settlement forest types, number of trees, macro-topography, management regime, physiographic zones, slope, and soil depth. The study used 737 (70%) samples as a training data for model development while 312 (30%) samples as a testing data for model validation.Results and discussionThe respective RMSE, RMSE% and adjusted R2 of the Random Forest Model for SOC estimation were found to be 9.53 ton/ha, 15% and 0.746 while same for the AGTB were 37.55 ton/ha, 21.74% and 0.743. Particularly, changes in temperature and precipitation showed an effect on the amount of SOC and AGTB in the projected scenario i.e., CMIP6, SSP2 4.5 for 2040–2060. The study found the amount of SOC decreased by 3.85%, while AGTB increased by 2.96% in the projected scenario. The proposed approach which incorporates the effect of bioclimatic variables can be a better option for understanding the dynamics of SOC and AGTB in the future using climatic variables.

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Distribution and Factors Influencing Organic Carbon Stock in Mountain Soils in Babia Góra National Park, Poland

Cited by 7 publications

References 39 publications

Soil Organic Carbon Stock and Soil Quality under Four Major Agroecosystems in the Eastern Flank of Mount Bambouto (West-Cameroon)

Soil Organic Carbon Stock and Soil Quality under Four Major Agroecosystems in the Eastern Flank of Mount Bambouto (West-Cameroon)

Spatial Distribution of Soil Organic Carbon in the Forests of Nepal

Assessment of above ground biomass and soil organic carbon in the forests of Nepal under climate change scenario

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