Evaluating pedotransfer functions for predicting soil bulk density using hierarchical mapping information in Campania, Italy

P Nasta, M Palladino, B Sica, A Pizzolante… - Geoderma …, 2020 - Elsevier
In this study, the performance of 63 existing pedotransfer functions (PTFs) is evaluated to
estimate oven-dry soil bulk density (BD) by using a dataset of 3316 soil cores taken in the …

[HTML][HTML] Soil bulk density assessment in Europe

P Panagos, D De Rosa, L Liakos, M Labouyrie… - Agriculture, Ecosystems …, 2024 - Elsevier
Abstract The topsoil Land Use and Cover Area frame Statistical survey (LUCAS) aims at
collecting harmonised data about the state of soil health over the extent of European Union …

Application of regression kriging and machine learning methods to estimate soil moisture constants in a semi-arid terrestrial area

T Tunçay, P Alaboz, O Dengiz, O Başkan - Computers and Electronics in …, 2023 - Elsevier
In the current study, the use of regression-kriging (RK), artificial neural networks (ANN),
support vector machines (SVM), and random forest (RF) methods from machine learning …

New pedotransfer approaches to predict soil bulk density using WoSIS soil data and environmental covariates in Mediterranean agro-ecosystems

C Schillaci, A Perego, E Valkama, M Märker… - Science of the total …, 2021 - Elsevier
For the estimation of the soil organic carbon stocks, bulk density (BD) is a fundamental
parameter but measured data are usually not available especially when dealing with legacy …

Developing pedotransfer functions for predicting soil bulk density in Campania

M Palladino, N Romano, E Pasolli, P Nasta - Geoderma, 2022 - Elsevier
Oven-dry soil bulk density (BD) is a key soil parameter in biophysical models. Yet, its direct
determination for large-scale modeling applications is limited by excessive efforts required …

[HTML][HTML] A framework for recalibrating pedotransfer functions using nonlinear least squares and estimating uncertainty using quantile regression

M Schmidt, D Saurette, J Zhang, C Bulmer, D Filatow… - Geoderma, 2023 - Elsevier
Pedotransfer functions (PTFs) have been developed for many regions to estimate values
missing from soil profile databases. However, globally there are many areas without existing …

Hierarchical pedotransfer functions for predicting bulk density in Brazilian soils

AMH Reis, WG Teixeira, A Fontana, AHC Barros… - Scientia …, 2023 - SciELO Brasil
Bulk density (BD) is a soil physical property used as a soil quality indicator and variations in
this measurement influence soil water content and carbon stock estimates. This study aims …

Carbon stocks of soils under forest in the Komi Republic of Russia

AF Osipov, KS Bobkova, AA Dymov - Geoderma regional, 2021 - Elsevier
Soils are a large reservoir of organic carbon, and plays a significant role in its accumulation
and storage. The goal of this study is to provide a generalized estimate of soil organic …

Spatial and temporal dynamics of soil organic carbon stock and carbon sequestration affected by major land-use conversions in Northwestern highlands of Ethiopia

E Tilahun, M Haile, G Gebresamuel, G Zeleke - Geoderma, 2022 - Elsevier
Soil organic carbon (SOC) is the major component of the terrestrial carbon (C) budget, a key
indicator of environmental sustainability. So, estimating SOC stock and soil carbon (C) …

Comparison of Cubist models for soil organic carbon prediction via portable XRF measured data

K John, NM Kebonye, PC Agyeman… - … monitoring and assessment, 2021 - Springer
Soil organic carbon (SOC) tends to form complexes with most metallic ions within the soil
system. Relatively few studies compare SOC predictions via portable X-ray fluorescence …