Estimation of soil pH with geochemical indices in forest soils

Wu, Wei; Liu, Hongbin

doi:10.1371/journal.pone.0223764

Cited by 5 publications

(4 citation statements)

References 23 publications

(22 reference statements)

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“…In this study, V was not linearly related to soil pH (data not shown), since soil samples showed a mixed composition of permanent-and variable-charge clay minerals (data not shown) and contained a wide range of OM levels (3.78-79.35 g kg -1 ) (Table 3). This is in line with other findings in literature where relationships between soil pH and V were non-linear, being described by either quadratic (Wang et al, 2019) or sigmoidal models (Kabala and Labaz, 2018;Wu and Liu, 2019). Our results also revealed that the BSAT method overestimated LR to attain pH 5.8 (Figure 4b; Table 4), mostly on soil samples containing T less than 7 cmol c dm -3 , which suggests a contradictory behavior of the method.…”

Section: Methodssupporting

confidence: 92%

Evaluation of traditional methods for estimating lime requirement in Brazilian soils

Teixeira

Álvarez

Neves

et al. 2020

Revista Brasileira De Ciência Do Solo

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The optimal soil pH for most annual crops in Brazil varies between 5.7 and 6.0. Numerous methods have been developed for estimating lime requirement (LR), but they vary widely in their predictions and fail to raise pH to desired values for optimum crop production in the highly weathered soils of Brazil. The objectives of this study were to (i) compare seven traditional methods for estimating LR in Brazilian soils; (ii) assess the effects of LR predicted by these methods on soil-acidity related properties, and (iii) determine if these methods are predicting LR to attain target pH values of 5.8 and 6.0, which are within the pH range recommended to optimize crop yields. The traditional LR methods evaluated in this study are based on the following criteria: exchangeable acidity (EA), base saturation (BSAT), exchangeable acidity along with Ca 2+ and Mg 2+ as proposed by the 4th (MG4A) and 5th (MG5A) Approximations to the Minas Gerais State, SMP soil-buffer pH (SMP), potential acidity (PA), and soil pH along with organic matter (pHOM). These methods were compared with the standard incubation method using correlation-regression analysis and, alternatively, the identity test designed for assessing equivalence between methods. Representative agricultural soils (n = 22) were incubated for 60 days with incremental amounts of lime determined by the tested methods. On average, LR predictions differed among methods, and increased in the following order: EA < BSAT ≈ MG5A ≤ MG4A ≈ SMP ≤ PA < pHOM. Suitable changes in soil pH, exchangeable acidity, potential acidity, base saturation, and Ca 2+ and Mg 2+ were achieved upon application of LR estimated by all methods except the EA and pHMO, which resulted in undesirable soil acidity characteristics. All methods evaluated in this study were unable to predict LR for attaining target pH values of 5.8 and 6.0 as revealed by the identity test, even though they were moderate to strongly correlated with the standard incubation method as indicated by the correlation-regression analysis. Further research should focus on the development of reliable methods for predicting LR to attain desired pH values and consequently maximize crop production on Brazilian soils.

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Section: Methodssupporting

confidence: 92%

Evaluation of traditional methods for estimating lime requirement in Brazilian soils

Teixeira

Álvarez

Neves

et al. 2020

Revista Brasileira De Ciência Do Solo

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“…To the best of our knowledge, there is a dearth of EA‐PTFs in the published literature. However, there exist PTFs for harmonizing soil pH data to the GlobalSoilMap standard (Libohova et al, 2014) and PTFs for estimation of soil pH from geochemical indices (Wu & Liu, 2019).…”

Section: Discussionmentioning

confidence: 99%

Exchangeable acidity and pedotransfer functions for the soils of Ghana

Owusu,

Hartemink,

Zhang

et al. 2024

European J Soil Science

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Soil exchangeable acidity (EA) is an indicator of aluminium toxicity potential in acidic soils. Predicting the distribution and dynamics of EA is needed for the identification and management of acidic soils. In this study, we used datasets of 355 pedons from across Ghana and the Cubist rule‐based algorithm to generate pedotransfer functions (PTFs) of EA. Eight soil properties (pH, organic carbon, calcium, sodium, magnesium, total exchangeable bases, cation exchange capacity [CEC] to clay ratio and soil depth) were used to predict EA. We first used the whole dataset to construct generic PTFs and then stratified the dataset based on World Reference Base‐Reference Soil Groups (WRB‐RSGs) to generate soil‐specific PTFs. Goodness‐of‐fit statistics comprising the root mean squared error (RMSE), Lin's concordance correlation coefficient () and coefficient of determination (R2) were used to evaluate the prediction accuracy and reliability of the developed PTF models on both calibration and validation datasets. The Fluvisols EA‐PTF exhibited lower performance metrics in the validation (RMSE = 0.17 cmolc kg−1, = 0.19, R2 = 0.24), whereas the EA‐PTFs for all other WRB‐RSGs and whole dataset had above‐average performance metrics in the validation (0.05 ≤ RMSE ≤ 0.97 cmolc kg−1; 0.34 ≤ ≤ 0.94; 0.52 ≤ R2 ≤ 0.96). Soil pH sufficed for predicting EA in soils with pH above 5.0, but in soils with a pH < 5.0, the levels of exchangeable bases (e.g., Na+, K+, Mg2+, Ca2+), CEC to clay ratio (CCR) and soil depth improved the prediction of EA. The developed EA‐PTFs are useful for estimating the missing values of EA in soil databases.

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“…The soil samples were taken to the laboratory and conditioned for analysis by drying in well-ventilated rooms or in rooms equipped with heating systems up to a temperature of 40 • C, after which they were sieved to a particle size of less than 2 mm. Soil analyses were performed according to the standardized methods: pH was determined potentiometrically in aqueous suspension (10 g of soil/25 mL of bi-distillated water, with a combined pH electrode glass-calomel) [40,41]. Granulometric analysis was performed using the Kacinski method [42].…”

Section: Study Sites and Soil Characteristicsmentioning

confidence: 99%

Soil Compaction Induced by Three Timber Extraction Options: A Controlled Experiment on Penetration Resistance on Silty-Loamy Soils

Presecan,

Forkuo,

Borz

2024

Applied Sciences

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Local effects of ground-based timber harvesting, such as soil compaction, are often important for forest management and resilience of forests. One way to evaluate the compaction of the forest soils is by the penetration resistance. Most often, however, the control over the weight of the means used to extract the wood is difficult to maintain, influencing therefore the outcomes of the comparison studies. In this study, a controlled experiment was set up to see how the penetration resistance is affected by the number of passes of three wood extraction methods. A first objective of the study was to characterize the undisturbed soils by the mean values of penetration resistance along the profile. The second objective of the study was to compare the changes in penetration resistance induced by the number of passes along the soil profile. The extraction means were selected based on their typical use in flat-land operations, namely horse logging, skidding and forwarding, and the weight of their loads was determined before the experiment; then, each one was tested in a different area by operating in a closed loop on flat land, with 15 passes over the respective testing area. Penetration resistance was sampled up to 80 cm in depth in 10 control points, as well as in 10 sampling points over the wheels’ footprints. Ten samples were taken on the latter after the first, second, third, fourth, fifth, tenth and fifteenth passes, and comparisons were set up based on natural changing points in penetration resistance found in the control areas. The comparisons found significant differences by an increase in penetration resistance for all three extraction means, and there was a difference by an order of magnitude and depth; horse logging affected it the least and forwarding the most in magnitude, while skidding seemed to produce more significant changes in depth. However, the magnitude and depth of these changes may have depended on the characteristics of the soils from the test areas, and it cannot be concluded that the found levels of penetration resistance will affect the trees located nearby the experimental trails. The problem of soil compaction should be further examined by dedicated studies, given the variability in soil characteristics and diversity in means used to extract timber.

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Estimation of soil pH with geochemical indices in forest soils

Cited by 5 publications

References 23 publications

Evaluation of traditional methods for estimating lime requirement in Brazilian soils

Evaluation of traditional methods for estimating lime requirement in Brazilian soils

Exchangeable acidity and pedotransfer functions for the soils of Ghana

Soil Compaction Induced by Three Timber Extraction Options: A Controlled Experiment on Penetration Resistance on Silty-Loamy Soils

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