In the digital soil mapping (DSM) framework, machine learning models quantify the
relationship between soil observations and environmental covariates. Generally, the most …

Soil organic carbon (SOC) plays key roles in determining soil properties, plant nutrients, and
land-atmosphere carbon exchange, yet is affected by various natural and anthropogenic …

Soil aggregation, a key aspect of soil physical health, is a crucial component of
agroecosystem sustainability as it affects numerous soil processes and agroecosystem …

Abstract Knowledge about the spatial variability of soil aggregate stability indices, soil
organic carbon (SOC) in various aggregate sizes, and aggregation across the landscape is …

Vegetation restoration may affect soil aggregate stability and the ability of soil to resist
erosion. To evaluate the influence of vegetation restoration measures on the stability of soil …

Estimation of soil organic carbon (SOC) is very useful for accurate monitoring of carbon
sequestration. However, there are still significant gaps in the knowledge of SOC reserves in …

This study was conducted to evaluate the efficacy of the ensemble machine learning model
to predict the spatial variation of soil organic carbon (SOC) concentration in a deciduous …

Aggregate-protected soil organic matter remains an important platform for organic carbon
stabilisation and a sink for atmospheric CO 2 emission, which play a crucial role in …

Soil aggregate stability is considered as one of the most sensitive parameters that reflect soil
structure and quality, which is significantly influenced by soil organic carbon (OC) and total …

Organic carbon (OC) sequestration through soil aggregation is an important aspect of land
use change/conversion (LUCC) influencing the terrestrial ecosystem C cycle, although little …