Showing papers in "Geoderma in 2019"

TL;DR: In this paper, the authors identify measurable biotic or abiotic properties that control soil organic carbon (SOC) storage at different spatial scales and could serve as indicators for an efficient quantification of SOC.

TL;DR: In this article, the economic feasibility of biochar application cannot be neglected and strategies for reducing biochar losses and its application costs, and increasing its use efficiency need to be developed.

TL;DR: In this article, the authors compared the performance of a single spectrometer (visible-nearinfrared spectroscopy, vis-NIR or mid-infrared spectral data, MIR) compared to the combined spectrometers (vis-nIR and MIR), and explored the use of a deep learning model, the convolutional neural network (CNN).

TL;DR: In this paper, the authors applied a methodological framework to optimize the prediction of soil organic carbon (SOC) stocks for the entire Brazilian territory and determine how the environmental heterogeneity of Brazil influences the SOC stocks distribution.

TL;DR: Wang et al. as discussed by the authors constructed both Cubist and partial least square regression (PLSR) models on electrical conductivity (EC) (150 ground-based measurements as calibration set) using various related covariates (e.g. terrain attributes, remotely sensed spectral indices of vegetation and salinity from landsat8 OLI satellite) that are at the same time period corresponding to soil sampling.

TL;DR: The environmental covariates that have been identified as the most important by RF technique in recent years in regard to digital mapping of SOC are revealed, which may assist in selecting optimum sets of environmental covariate for mapping SOC.

TL;DR: In this article, three non-linear models including Cubist (Cu), Random Forest (RF), Regression Tree (RT) and Multiple Linear Regression (MLR) were used to link environmental covariates and the studied soil properties.

TL;DR: In this paper, the authors used the multi-spectral instrument (MSI) onboard the Sentinel-2 onboard ship for the monitoring and mapping of soil salinity in arid and semi-arid areas.

TL;DR: In this paper, the authors compare different soil C pool models that quantify stochastic and/or deterministic components, assess the prediction performance of soil C models, and identify environmental factors that impart most control on labile and recalcitrant pools and soil total C (TC).

TL;DR: In this article, the importance of effective factors in the occurrence of gully erosion using Boruta algorithm was considered and three factors including land use, distance from river, and clay percent had the most noticeable importance.

TL;DR: In this paper, a field study was set up to investigate the effects of rice husk biochar and N-fertilizer applications at different rates on rain-fed rice yield and soil nutrient distribution in the 0-20 cm soil layer.

TL;DR: In this article, the effects of biochar on soil bulk density (BD) and water holding capacity (WHC) were studied in a laboratory column study using two agricultural soils from Portugal: a sandy and a sandy loam soil.

TL;DR: In this paper, the authors investigated the impact of biochar on water retention properties in California agricultural soils in a series of column, lab incubation, and field studies and found that biochar with high pore volume can temporarily increase the field capacity and plant available water in a coarse-textured soil.

TL;DR: In this article, the diversity patterns and drivers of soil microbial communities in altitudinal gradients have been studied in alpine ecosystems, and high-throughput Illumina sequencing was used to examine the community variations of bacteria, archaea and fungi between the rhizosphere and bulk soil along an altitudinal gradient in an Abies fabri (Mast) community on Mount Gongga of the eastern Tibetan Plateau.

TL;DR: The derived maps will establish baselines that will help monitor soil quality and provide guidance to agro-environmental research and policy developments in the European Union.

TL;DR: In this article, the authors evaluated the suitability of using naturally occurring dissolved organic matter (DOM) to extract the heavy metals from anthropogenic polluted soils based on mainly recently published laboratory studies.

TL;DR: In this paper, the long-term effect of two cover crop species, hairy vetch (Vicia villosa), and no cover crop, applied on conventional tillage and no-tillage on soil hydro-physical properties and cotton yield was examined.

TL;DR: In this article, the authors developed a robust and easy method to characterize and quantify the biochar-DOC, using water-, acid-, and base-extractable DOC samples (WEOC, AEOC, and BEOC respectively) from 46 biochars produced from diverse feedstocks and pyrolysis conditions.

TL;DR: In this article, the fertility of earthworm casts was quantified using meta-analysis, and the authors identified its controlling factors, such as the presence of plants, availability of available pools of N (total mineral N) and available P (available P: P-Olsen, P-Bray or comparable metrics), C-to-N ratio and microbial biomass C.

TL;DR: In this article, the authors compared the performance of five machine learning techniques for the prediction of soil organic matter contents using remote sensing, proximal soil sensors and topographic data as environmental predictor.

TL;DR: In this paper, soil and plant samples were collected from one farmland site and four Robinia pseudoacacia (RP) forests that were planted for 10, 15, 25, and 35 years.

TL;DR: In this paper, the applicability of four different machine learning models, extreme learning machine (ELM), generalized regression neural networks (GRNN), backpropagation neural network (BPNN), and random forests (RF), for modeling half-hourly Ts at four different depths of 2.5 cm, 5 cm, 10 cm, and 20 cm on the Loess Plateau of China was investigated.

TL;DR: In this paper, the authors used high-throughput sequencing of the 16S rRNA and ITS gene regions to target bacterial and fungal members of aggregate samples of four sizes (2-4mm, 1-2mm, 0.25-1

TL;DR: The constructive changes in soil properties following conservation tillage and crop residue retention led to increased crop productivity over conventional CTTPR–CT and conservation Tillage andcrop residue retention could be recommended in tropical rice–based cropping systems for improving soil quality and production sustainability.

TL;DR: In this paper, the performance of fractional-order derivatives (FODs) in the estimation of soil organic matter (SOM) with that of conventional first and second derivatives was compared.

TL;DR: In this article, the effect of corn cob and rice husk biochar on P sorption and desorption in two acid (Typic Plinthustult-A & Plinthic Acrudox-B) and one neutral soil (Quartzipsamment-C).

TL;DR: In this paper, the authors examined the feasibility of using soil reflectance spectra to estimate the concentrations of Cd, Pb, As, Cr, Cu and Zn in suburban soils, and compared the performances of different spectral pretreatments and explored the mechanism underlying the estimation of heavy metal concentration from VNIR spectra.

TL;DR: In this paper, the AHP-matter element hybrid method was used to assess and map several different criteria for the strategic placement of cropping, including soil depth, slope, climate characteristics, pH, electrical conductivity, exchangeable sodium percentage, calcium carbonate equivalent and gypsum content.

TL;DR: In this paper, the performance of three reanalysis soil temperature products (National Centers for Environmental Prediction Climate Forecast System and climate forecast system Reanalysis (CFSR), European Centre for Medium-Range Weather Forecasts interim reanalysis (ERA-Interim), and Global Land Data Assimilation System (GLDAS- NOAH)) at four depths (0-10, 10-40, 40-100 and 100-200 cm) was evaluated using the observation data.

TL;DR: Wang et al. as discussed by the authors explored the soil-improving effects of various vegetation restoration patterns and identified the best vegetation pattern for improving the soil quality in this coastal saline-alkali land.