Showing papers in "Geoderma Regional in 2022"

TL;DR: The European Union (EU) put the concept of healthy soils at the core of the European Green Deal to achieve climate neutrality, zero pollution, sustainable food provision and a resilient environment as discussed by the authors .

TL;DR: In this paper , the effectiveness of Vis-NIR-SWIR, MIR (mid-infrared spectroscopy: 4000-400 cm−1), and pXRF (portable x-ray fluorescence) to characterize and estimate clay, sand, silt, calcium carbonate (CaCO3), gypsum (CaSO4), soil organic carbon (SOC) contents and electrical conductivity (EC) in Afzar district, Fars province, southern Iran.

TL;DR: In this paper , the authors take advantage of Benin soil legacy data to produce a digital soil fertility index map (SFIm) at a national level based on 8 soil properties (soil organic matter, nitrogen, pH (water), exchangeable potassium, assimilable phosphorus, sum of bases, cation exchange capacity and base saturation).

TL;DR: In this article, the authors take advantage of Benin soil legacy data to produce a digital soil fertility index map (SFIm) at a national level based on 8 soil properties (soil organic matter, nitrogen, pH (water), exchangeable potassium, assimilable phosphorus, sum of bases, cation exchange capacity and base saturation).

TL;DR: In this paper , Fourier transform infrared spectroscopy (FTIR) was applied to examine the SOM relationships between qualitative (functional groups, SOM lability (p-WEOC), hydrophobicity (HI), degree of degradation (DDI), and water repellency (W)) and quantitative (total soil organic carbon and WEOC concentration) parameters depending on soil texture and moisture regime.

TL;DR: In this paper , the authors characterized existing carbon pools and molecular organization of the humic acids, isolated from various permafrost-affected soils of Yamal region and assessed the potential vulnerability of soils organic matter in context of possible mineralization processes.

TL;DR: In this article , the authors investigated the effect of solar photovoltaic panels on soil physical, chemical, and biochemical properties seven years after the installation of the panels and compared the results with an adjacent soil not affected by the plant.

TL;DR: In this article , the authors used portable X-ray fluorescence (pXRF) to characterize the agricultural area (AA) and lakebed area (LA) through elemental concentration, weathering indices, and soil spectra based on pXRF spectral behavior and evaluated the prediction and characterization performance of decision tree models for AA and LA.

TL;DR: In this paper , the authors proposed a new technique to correlate the cover-management factor (C-factor) with vegetation indices from images obtained by UAV and evaluate soil erosion losses under natural rainfall.

TL;DR: In this paper , the impact of two different biochar substrates (BS: BS1 - biochar blended with farmyard manure and digestate) at two rates (10 and 20 t ha −1 ) combined alone and with additional fertilization (F) on two contrasting soils.

TL;DR: In this article, the impact of two different biochar substrates (BS: BS1 - biochar blended with farmyard manure and digestate) at two rates (10 and 20 T ) combined alone and with additional fertilization (F) on two contrasting soils.

TL;DR: In this paper , the long-term effects of BC application on the soil organic carbon and labile organic carbon (LOC) fractions are unclear, especially in karst regions.

TL;DR: In this paper , a Vis-NIR library is developed to predict topsoil organic carbon (SOC) using partial least squares regression (PLSR) and machine learning (i.e., Cubist, random forest [RF] and support vector machine [SVM]) in four sugarcane districts.

TL;DR: In this article , the authors proposed a Digital Soil Mapping (DSM) initiative to map organic carbon (SOC) stocks in Tunisian topsoils (0-30 cm) at 100 m resolution, using a Quantile Regression Forest (QRF) algorithm, a range of environmental covariates, and a national database of 1540 SOC stock profiles.

TL;DR: In this article , the effects of different spatial resolutions of covariates from different sources on predicting topsoil content in a semi-arid region located in the west of Iran were considered and compared.

TL;DR: In this paper , the authors investigated the importance of using site-specific bulk density and correcting for rock fragment content on estimates of organic carbon stock in 0-50 cm depth of agricultural minerals soils, collected in 2019 in the Danish National Square Grid.

TL;DR: In this article , the potential of visible-near-infrared (Vis-NIR) preprocessing techniques combined with a partial least square (PLS) regression to estimate soil organic carbon (SOC), the cation exchange capacity (CEC), and clay content and the effects of the wavelengths selection on the predictive capability of the PLS models were evaluated.

TL;DR: In this article , the authors test many modeling combinations using pXRF, Vis-NIR, and NixPro data and several preprocessing methods to offer a general guideline for exchangeable/available macronutrient (Ca2+, Mg2+, K+, P-rem), exchangeable Al3+, Al3+ saturation and soil potential acidity predictions (H++Al3+).

TL;DR: In this article , three machine learning techniques were used for digital mapping of soil texture classes, including Decision Tree (DT), Random Forest (RF), and Support Vector Machine (SVM) algorithms in an area with Fluvisols and Vertisols as predominant reference soil groups in Northwestern Türkiye (Lake of Manyas).

TL;DR: In this article , a study was conducted in the town of Cooch Behar and its periphery in Eastern India, with the aims to identify the effect of urbanization on soil properties and to quantify the extent of microplastic pollution in a small urban area.

TL;DR: Wang et al. as mentioned in this paper established a cross-system framework for digital soil mapping, which enabled the conversion of legacy data and application to a new classification system for Digital soil mapping. But legacy data are not directly applicable in the generation of the latest DSMs.

TL;DR: In this paper , the authors compared field measurements based on erosion assessment surveys from a 10-year monitoring process with spatial-explicit model predictions with the Revised Universal Soil Loss Equation (RUSLE).

TL;DR: In this paper , the authors determined the enzymatic activity and recorded the content of C, N and P in testing samples and used soil enzyme activity stoichiometry for reflecting the nutrient availability.

TL;DR: In this paper , the authors used Vis-NIR spectra of 558 soil samples acquired using Field Spec ASD Spectroradiometer and three models (support vector machine, random forest and partial least square regression) were evaluated for prediction of field capacity and permanent wilting point.

TL;DR: In this article , the half-life and efficacy of 3,4-dimethylpyrazole phosphate (DMPP) and 2-chloro-6-(trichloromethyl) pyridine (nitrapyrin) inhibitors on New Zealand urine-amended pasture soils is compared.

TL;DR: In this paper , a comparison of the morphology and physico-chemical properties of adjacent arable and forest soils was carried out in four catenas located in the patches of relict chernozemic soils in the loess belt of south-east Poland.

TL;DR: In this paper , the topsoil organic carbon (SOC) content from agricultural lands was predicted and mapped with quantified uncertainty across Nepal using state-of-the-art soil mapping techniques.

TL;DR: In this article , the authors evaluated total soil Pb distribution across the third largest metropolitan region of the United States (U.S.), Chicago, a city with multiple historical sources of Pb deposition and previous reports of soil total Pb that exceed geogenic concentrations by orders of magnitude.

TL;DR: In this paper , the authors used Vis-NIR spectroscopy combined with topography data in GIS to evaluate RUSLE soil erodibility (so-called K-factor) in calcareous soils of a semi-humid watershed located in west of Iran.

TL;DR: In this paper , the authors used a chronosequence and altitudinal sequence approach to investigate the influence of soil age and climate on the stocks of soil organic carbon (SOC) and stocks of silt- and clay-sized particles.