Carbon geomicrobiology, saturation deficit and sequestration potential of Brazilian agricultural soils DOI Creative Commons
Heidy Soledad Rodríguez Albarracín

Published: March 26, 2024

Carbon geomicrobiology, saturation deficit and sequestration potential of Brazilian agricultural soilsThe ecosystem service climate regulation provided by soil is due to its capacity sequester C, organic carbon (SOC) essential for health.The the retain OC depends on minerals their interaction with microbiota.Chapter 1 this work analyzes COS in clay fraction soils Piracicaba region, state São Paulo, based an equation C fine particles, adjusted tropical soils.This was using a spatial regression model.In surface layer, mainly explained relative abundance kaolinite, hematite, goethite gibbsite determined Vis-NIR-SWIR spectroscopy.A direct relationship observed gibbsite.At depth 80 100 cm, kaolinite hematite were responsible greatest variation potential.The contribution each mineral also mapped, high contributions from deep layers.Chapter 2 adjustment model microbiological mineralogical variables.The modeling mapping different properties carried out spectral transfer functions digital (DSM), achieving R 0.77 0.85.All these detected specific bands, which achieved correlations 0.64 0.98 laboratory analyses.The autoregressive models obtained r 0.61 0.7.The explanatory variables associated goethite, fungi, actinomycetes, vesicular-arbuscular mycorrhizal enzymatic activity betaglucosidase, urease phosphatase particulate matter (POM), overall fungi being most important variable.Chapter 3 development strategy analyze at microscale through spectroscopic detection 35 samples analysis microbial biomass (MBC) beta-glucosidase, phosphatase, fractionation (SOM) into POM SOM (MAOM).In order characterize Mid-IR spectra fractions according variables, bands selected variable.Finally, chapter 4, technique developed calculate spatialize indices enzymes betaglycosidase, areas Brazil DSM having as covariates Synthetic Soil Image (SYSI), relief, climate, biomes maps.The enzyme maps area (3481362.60km²), validation ranging 0.68 0.35.These 30 m scale can be considered monitoring quality health soils, they are sensitive land use management.

Language: Английский

Application of mid-infrared (MIR) spectroscopy to identify and quantify minerals in New Zealand soils DOI
Yuxin Ma, Budiman Minasny, Pierre Roudier

et al.

CATENA, Journal Year: 2024, Volume and Issue: 242, P. 108115 - 108115

Published: May 25, 2024

Language: Английский

Citations

3
Mapping global distributions of clay-size minerals via soil properties and machine learning techniques DOI

Qinpeng Liao,

Huangling Gu, Chongchong Qi

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 949, P. 174776 - 174776

Published: July 14, 2024

Language: Английский

Citations

3
Minimizing vegetation influence on soil salinity mapping with novel bare soil pixels from multi-temporal images DOI Creative Commons
Danyang Wang, Haichao Yang,

Hao Qian

et al.

Geoderma, Journal Year: 2023, Volume and Issue: 439, P. 116697 - 116697

Published: Oct. 24, 2023

Optical remote sensing satellites provide rapid access to regional topsoil salinization mapping. However, mapping based on spectral reflectance is always affected by background material like vegetation cover, straw mulching and soil types. In light of these challenges, this study investigates the potential image fusion, where images original bare pixels were combined, minimize impact cover salinity A case was presented for typical area using synchronized Sentinel-2 MSI (named image) 255 ground-truth data collected in October 2020, aligning with periods salt return. Furthermore, obtain novel pixels, multi-temporal acquired during two distinct intervals: March May September November, spanning years from 2018 2021. The synthetic (SYSI) obtained extracting images. Two (original, SYSI) fused non-negative matrix factorization (NMF) method, named SYSIfused. Then, stacking machine algorithm used under different types, evaluating SYSIfused accuracy prediction. results showed outperformed (the R2 best models increased 0.054–0.242, RMSE MAE decreased 0.049–0.780 0.012–0.546, respectively). Based SYSIfused, order effect types coastal bog solonchaks > alluvial cinnamon coral saline overall samples, their roles improving model 0.141, 0.085, 0.022, 0.012, respectively. Besides, provided prediction performances (R2 = 0.742, 0.377, 0.362). This introduces concept merging SYSI, resulting a significant improvement areas covered vegetation.

Language: Английский

Citations

8
Fine scale mapping of phosphorus stocks in brazilian soils by geotechnologies: implications for a sustainable agriculture DOI Creative Commons
Jorge Tadeu Fim Rosas

Published: Feb. 19, 2024

The soils clay fraction major oxides of tropical are iron (Fe2O3), aluminum (Al2O3), and silicon (SiO2).In soils, these directly or indirectly responsible for the soil's capacity to provide ecosystem services.Additionally, they used classify into different pedological classes.Despite importance oxides, quantifying them on a large scale is not an easy task.Moreover, most common method laboratory sulfuric acid digestion, which expensive, complex, environmentally harmful.To overcome this issue faster information, we developed satellite technique associated with machine learning map all agricultural areas in Brazil at 30 m resolution.Additionally, tested if generated maps can be infer soil weathering, assist construction maps, support crop management.We modeling dataset 5,330 sites (0-20 cm 80-100 cm) distributed across 27 states.Six spectral variables obtained from historical Landsat series (bare soil) seven terrain attributes derived digital elevation model were determine Fe2O3, Al2O3, SiO2 using Random Forest algorithm.The predicted covered nearly 3.48 million km² (~40% national territory).The best predictions observed Fe2O3 surface layer (RMSE = 47.0,RPIQ 1.85, R2 0.65), while lowest subsurface 66.7,RPIQ 1.55, 0.19).It was possible weathering Ki index.Our results consistent legacy where highly weathered plateaus cerrado biome, younger arid Caatinga biome waterlogged Pantanal biome.Our also demonstrated high potential grouping classes.Furthermore, relationship between oxide contents vigor sugarcane crops, indicating that our findings management.Moreover, satellite-based supported by capable predicting information spatial resolution.

Language: Английский

Citations

2
Geotechnologies on the phosphorus stocks determination in tropical soils: General impacts on society DOI
Jorge Tadeu Fim Rosas, José Alexandre Melo Demattê, Nícolas Augusto Rosin

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 938, P. 173537 - 173537

Published: May 25, 2024

Language: Английский

Citations

2
The Brazilian Soil Spectral Library data opening DOI Creative Commons

J. J. M. Novais,

Nícolas Augusto Rosin, Jorge Tadeu Fim Rosas

et al.

Dokuchaev Soil Bulletin, Journal Year: 2024, Volume and Issue: 119, P. 261 - 305

Published: June 25, 2024

Among the various repositories of soil spectral data, Brazilian Soil Spectral Library (BSSL, https://bibliotecaespectral.wixsite.com/english ), created and maintained by GeoCiS research group, is representative pedodiversity region, since it combines spectra from agricultural environmental research. The BSSL database contains 16,084 observations with soil-harmonized surface layer physicochemical data in visible, near-infrared, short-wave infrared (Vis-NIR-SWIR, 350–2,500 nm) mid-infrared (MIR, 4,000–600 cm-¹) ranges all 26 states Federal District. idea creating was born 1995, completed 2019 opened to users 2023. This currently available online at https://zenodo.org/records/8361419 . During oppening process, filtering performed ensure reliable valuable information provided society. Then consistency quality assessments were executed using Pearson's correlation Cubist algorithm R environment. Modeling analysis revealed robust predictive power database, facilitating modeling key attributes. An open-access will help researchers validate their results comparing measured predicted enabling development new models or improvement existing ones. a globally significant library due its broad coverage representation different tropical classes. can governments corporations providing decision-makers regarding conservation exploitation natural resources monitor health.

Language: Английский

Citations

2
Parametrization of Geopolymer Compressive Strength Obtained from Metakaolin Properties DOI Open Access
Madeleing Taborda-Barraza, Luís Urbano Durlo Tambara Júnior, Carlos Maurício Fontes Vieira

et al.

Minerals, Journal Year: 2024, Volume and Issue: 14(10), P. 974 - 974

Published: Sept. 27, 2024

In the search for alternative cementitious materials, alkali activation of aluminosilicates has been found to be a mechanically effective binder. Among precursors, metakaolin is most frequently used, with primary source, kaolin, distributed globally in varying compositions. This variability may indicate potential compositional limitations large-scale production such binders. Thus, four types commercial calcined clays, activated under identical conditions, were evaluated, and their physicochemical characteristics correlated mechanical properties resulting Different characterization methods used raw material each alkali-activated system. Anhydrous was assessed through particle size distribution, specific surface area, zeta potential, vitreous phases, Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), amorphism, pozzolanic activity. The pastes evaluated fresh state apparent energy progression isothermal conduction calorimetry, hardened compressive strength dilatometry. Compressive values ranged from 7 42 MPa. From these results, mathematical model developed estimate performance based on key variables, specifically index, silica-to-alumina ratio. allows predictions without need prepare additional pastes. Interestingly, it that while some systems displayed low initial reactivity, relative reactivity over time increased more significantly than those higher early-stage suggesting reconsideration long-term applications.

Language: Английский

Citations

2
Exploring the Potential of vis-NIR Spectroscopy as a Covariate in Soil Organic Matter Mapping DOI Creative Commons
Meihua Yang, Songchao Chen, Guo Xi

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(6), P. 1617 - 1617

Published: March 16, 2023

Robust soil organic matter (SOM) mapping is required by farms, but their generation requires a large number of samples to be chemically analyzed, which cost prohibitive. Recently, research has shown that visible and near-infrared (vis-NIR) reflectance spectroscopy fast accurate technique for estimating SOM in cost-effective manner. However, few studies have focused on using vis-NIR as covariate improve the accuracy spatial modeling. In this study, our objective was compare from model kriging methods with without spectroscopy. We split 261 into calibration set (104) building spectral predictive model, test generating augmented prediction fitted (131), validation (26) evaluating map accuracy. used two datasets (235 samples) Kriging: laboratory-based dataset (Ld, observations datasets) predictions (Au.p, dataset), spectra covariance (Ld.co) (Au.p.co). The first one seven accumulated principal components were covariates when we measurement Ld.co Au.p.co. evaluated four Kriging. results indicated adding had great potential improving kriging, much higher accuracies observed Ld.p.co (RMSE 5.51 g kg−1) Au.p.co 5.66 than Ld 7.12 Au.p 7.69 kg−1). With similar performance Ld.p.co, can reduce laboratory analysis 60% samples, demonstrating its advantage cost-efficiency modeling information. Therefore, conclude obtain data fine-resolution

Language: Английский

Citations

5
A super learner ensemble to map potassium fixation in California vineyard soils DOI Creative Commons
Stewart G. Wilson,

Gordon L. Rees,

Anthony Debons

et al.

Geoderma, Journal Year: 2024, Volume and Issue: 445, P. 116824 - 116824

Published: April 3, 2024

Potassium (K) deficiency in wine grapes results reduced vine growth, premature leaf drop, and yield color loss. K can be fixed the interlayer of clay minerals a process called fixation, which leads to high spatial variability soil K. In Lodi American Viticulture Area (AVA) management winegrapes is complicated by mix fixing soils non-K soils. Here, we leverage digital mapping (DSM) framework identify distribution fixation availability, disentangle complexity region. Soil samples (n = 107) were collected, analyzed for index, availability cation exchange capacity (CEC), aggregated into two depths (0–30 cm 30–100 cm). intersected with remotely sensed proxies forming factors existing survey data used train "super learner" ensemble or combination base models, including random forest (RF), extreme gradient boosting (XGB) cubist. Base models combined via model averaging (each weighted its R2) stacking (linear OLS regression), performance was compared. We generated mapped uncertainties from super learning utilizing bootstrapped realizations each weighting map β-coefficients fitting step. Bootstrapped maps learner utilized generate upper lower 90% prediction limits. For index at 0–30 depth, RF outperformed other (R2 0.42), whereas linear all performed best depth 0.41). Results improved horizons 0.48) 0.46). Overall, predictions CEC superior both cm; R2 0.71) (30–100 0.51). conclude that predictively marginal success, while amenable DSM framework. tied more genesis formation, are affected fertilization. Finally, compared an landscape map, facilitate discussion connection between pedogenic state factors, processes properties mapping. inform foundations DSM, as well global efforts utilize manage K-based crop interventions.

Language: Английский

Citations

1
Using Spectroradiometry to Measure Organic Carbon in Carbonate-Containing Soils DOI Creative Commons

Piotr Bartmiński,

Anna Siedliska, Marcin Siłuch

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(11), P. 3591 - 3591

Published: June 2, 2024

This study explores the feasibility of analyzing soil organic carbon (SOC) in carbonate-rich soils using visible near-infrared spectroscopy (VIS-NIR). Employing a combination datasets, feature groups, variable selection methods, and regression models, 22 modeling pipelines were developed. Spectral data spectral combined with carbonate contents used as while raw reflectance, first-derivative (FD) second-derivative (SD) reflectance constituted groups. The methods included Spearman correlation, Variable Importance Projection (VIP), Random Frog (Rfrog), Partial Least Squares Regression (PLSR), Forest (RFR), Support Vector (SVR) models. obtained results indicated that FD preprocessing method RF, model is sufficiently robust stable to be applied rich calcium carbonate.

Language: Английский

Citations

1