The Relationship between Soil Particle Size Fractions, Associated Carbon Distribution and Physicochemical Properties of Historical Land-Use Types in Newly Formed Reservoir Buffer Strips

Yan, Tianying; Kremenetska, Yevheniia; Zhang, Biyang; He, Songlin; Wang, Xinfa; Yu, Zelong; Liang, Xiangpeng; Fu, Manyi; Wang, Zhen

doi:10.3390/su14148448

Cited by 3 publications

(2 citation statements)

References 77 publications

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“…An increase in potassium reserves in the soil creates favorable conditions for the development of plant root systems, allowing them to adapt to new environmental conditions [59]. It should be emphasized that changes in potassium reserves in the soil can affect carbon and nitrogen reserves and vice versa [60]. In this regard, it is necessary to know about the peculiarities of the formation of pools of macroelements for implementation by forest ecosystems as carbon reservoirs.…”

Section: Discussionmentioning

confidence: 99%

The Influence of Logging Equipment on the Content, Stock and Stratification Coefficient of Elements of the Mineral Nutrition of Plants in the Soils of the Taiga Zone of Karelia

Медведева

Ananyev

2023

Forests

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This study was carried out in the territories of Northern Europe, in the middle taiga subzone of Karelia. The paper presents the results of a study of an experiment on logging to study the impact of controlled logging using supervised logging with controlling cutting (SLCC) and conventional logging (CL) on the properties of soils (horizons O, E and BF) in a spruce forest 15 years after logging. Virgin forest (VF) was used as a control. The volume weight of soils, the contents of carbon, nitrogen and potassium in different soil layers (layers O, E and BF), as well as reserves of C, N and K and their stratification coefficients SRs (SR1 [O:E], SR2 [O:BF] and SR3 [E:BF]) were studied. The results showed a tendency to increase the volume weight of soils of anthropogenically disturbed (CL and SLCC) areas can be measured. The obtained data demonstrated that there was no sharp change in the contents or stocks of the studied elements between the anthropogenically disturbed (CL and SLCC) and undisturbed areas (VF). The largest reserves of carbon, nitrogen and potassium were noted in the upper horizons of the soils of all sites, averaging 35.6, 1.27 and 0.073 t/ha, respectively. In the lower horizons of the studied soils, the values were lower. The values of the stratification coefficients in the studied soils were arranged in decreasing order as SR2 > SR1 > SR3. At the same time, the general trend of unidirectional changes in the SR values for carbon and potassium in soils was noted; the data for nitrogen were somewhat different. The results showed a marked decrease in SOC concentration with an increase in soil depth. Higher rates of cellulose decomposition were observed in anthropogenically disturbed areas (CL—69.0 ± 3.6%; SLCC—57.4 ± 3.5%) compared with virgin forest (VF) (53.7 ± 3.1%), which is consistent with the results of other studies in the taiga zone. The data obtained indicate the importance of a more accurate assessment of the contents and stocks of elements, as well as the need to use tests for soil biological activity.

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Section: Discussionmentioning

confidence: 99%

The Influence of Logging Equipment on the Content, Stock and Stratification Coefficient of Elements of the Mineral Nutrition of Plants in the Soils of the Taiga Zone of Karelia

Медведева

Ananyev

2023

Forests

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“…It is widely acknowledged that the values of the ratios of the three soil particles exhibit a strong and significant correlation, irrespective of the type of correlation (Yan et al, 2022). This is because any alteration in one ratio value inevitably affects the other two values.…”

Section: Soil Samples and Data Preparationmentioning

confidence: 99%

Assessment of Two Methods for Predicting Soil Retention Relationship from Basic Soil Properties

Mohammed¹,

Salim²

2023

Ecol. Eng. Environ. Technol.

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The purpose of this study was to develop the best transfer functions for estimating the soil water retention curve (SWRC) for Iraqi soils using multiple regression methods. Soil samples were collected from 30 different sites in Iraq at two depths (0-0.3 m and 0.3-0.6 m) to create a database for the development of predictive transfer functions. The database included information on soil particle size distribution, carbonate minerals, mass density, particle density, organic matter, saturated hydraulic conductivity, capillary height, and available water limits. Explanatory variables (EV) were the measured characteristics, while response variables (RV) were the volumetric water content measured at different potentials (0, 5, 10, 33, 500, 1000, 1500 kPa). Two methods were used to develop predictive transfer functions: the logit model and beta model. Prediction accuracy was assessed using mean bias error (MBE), mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R2). The results showed that the variables included in the derivation of the two models for predicting θ(Ψ) were similar, except at θ(0). The variables w1 (w1 = 2P sand° − P silt° − P caly° − P carbonate ), capillary height, available water, and porosity were found to be included in most of the logit and beta models. Additionally, there were no statistically significant differences between the MAE, RMSE, and R2 values of the two models. However, the beta model performed better in terms of MBE compared to the logit model. The models also demonstrated highly significant R 2 values (0.9819-1.00) for a linear relationship between the measured and predicted water content values.

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Degradation, Classification, and Management of Soils From Alluvial‐Gold Mine Spoils in the Southeastern Peruvian Amazon

Velásquez Ramírez,

Nazario Rios,

Gobin

et al. 2024

Land Degrad Dev

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Artisanal and Small‐Scale Gold Mining (ASGM) carried out by individual miners or small enterprises with limited capital, significantly contribute to land degradation and loss of biodiversity‐rich forests in the Amazon. Due to limited information on the edaphic conditions crucial for restoring these degraded areas, a soil evaluation method was employed in representative locations of the Peruvian Amazon, including two native communities and one protected natural area. The categorization of ASGM‐degraded areas into cultural landscape units was confirmed and validated. Sentinel‐2 and UAV remote sensing revealed over 122,000 ha of deforestation since the 1980s. Surface and soil profile assessments identified extreme new soil conditions with low chemical and physical fertility, characterized by coarse texture and rock fragments, which hinder revegetation, especially during prolonged dry seasons. These degraded soils were classified as Entisols and Technosols according to Soil Taxonomy and the World Reference Base. Over time, natural regeneration and plantations improved soil formation, aligning with recognized soil classification systems. Under current management practices, restoration planning should prioritize selected shrub and tree species, and consider soil amendments to initiate soil recovery. This approach aligns with self‐sustaining successional stages and contributes to the objectives of Land Degradation Neutrality, Appropriate Mitigation and Adaptation Actions, and Sustainable Development Goals.

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The Relationship between Soil Particle Size Fractions, Associated Carbon Distribution and Physicochemical Properties of Historical Land-Use Types in Newly Formed Reservoir Buffer Strips

Cited by 3 publications

References 77 publications

The Influence of Logging Equipment on the Content, Stock and Stratification Coefficient of Elements of the Mineral Nutrition of Plants in the Soils of the Taiga Zone of Karelia

The Influence of Logging Equipment on the Content, Stock and Stratification Coefficient of Elements of the Mineral Nutrition of Plants in the Soils of the Taiga Zone of Karelia

Assessment of Two Methods for Predicting Soil Retention Relationship from Basic Soil Properties

Degradation, Classification, and Management of Soils From Alluvial‐Gold Mine Spoils in the Southeastern Peruvian Amazon

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