Effects of plant diversity on soil carbon in diverse ecosystems: A global meta‐analysis

X Chen, HYH Chen, C Chen, Z Ma… - Biological …, 2020 - Wiley Online Library
Soil organic carbon (SOC) is a valuable resource for mediating global climate change and
securing food production. Despite an alarming rate of global plant diversity loss …

A comprehensive system of definitions of land surface (topographic) curvatures, with implications for their application in geoscience modelling and prediction

J Minár, IS Evans, M Jenčo - Earth-Science Reviews, 2020 - Elsevier
Current use of land surface curvatures (LSCs) is in a confused state as a large gap has
opened up between applications and theoretical work. LSCs exercise important control on …

Predicting and mapping of soil organic carbon using machine learning algorithms in Northern Iran

M Emadi, R Taghizadeh-Mehrjardi, A Cherati… - Remote Sensing, 2020 - mdpi.com
Estimation of the soil organic carbon (SOC) content is of utmost importance in understanding
the chemical, physical, and biological functions of the soil. This study proposes machine …

Predicting heavy metal contents by applying machine learning approaches and environmental covariates in west of Iran

K Azizi, S Ayoubi, K Nabiollahi, Y Garosi… - Journal of Geochemical …, 2022 - Elsevier
The cuurent study was performed to predict spatial distribution of some heavy metals (Ni, Fe,
Cu, Mn) in western Iran, using environmental covariates and applying two machine learning …

Spatial prediction of soil organic carbon using machine learning techniques in western Iran

H Mahmoudzadeh, HR Matinfar… - Geoderma …, 2020 - Elsevier
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 …

Assessing machine learning-based prediction under different agricultural practices for digital mapping of soil organic carbon and available phosphorus

F Kaya, A Keshavarzi, R Francaviglia, G Kaplan… - Agriculture, 2022 - mdpi.com
Predicting soil chemical properties such as soil organic carbon (SOC) and available
phosphorus (Ava-P) content is critical in areas where different land uses exist. The …

Importance and strength of environmental controllers of soil organic carbon changes with scale

K Adhikari, U Mishra, PR Owens, Z Libohova, SA Wills… - Geoderma, 2020 - Elsevier
Spatial heterogeneity in environmental factors on the land surface moderates exchanges of
water, energy, and greenhouse gases between the land and the atmosphere. However …

Influential topographic factor identification of soil heavy metals using GeoDetector: The effects of DEM resolution and pollution sources

Y Wu, L Zhou, Y Meng, Q Lin, Y Fei - Remote Sensing, 2023 - mdpi.com
Heavy metals (HMs) entering soils are redistributed by natural processes such as surface
runoff and soil erosion. These natural processes are characterized by topographic factors …

Digital mapping of soil organic carbon using sentinel series data: A case study of the Ebinur Lake Watershed in Xinjiang

X Li, J Ding, J Liu, X Ge, J Zhang - Remote Sensing, 2021 - mdpi.com
As an important evaluation index of soil quality, soil organic carbon (SOC) plays an
important role in soil health, ecological security, soil material cycle and global climate cycle …

Effects of different sources and spatial resolutions of environmental covariates on predicting soil organic carbon using machine learning in a semi-arid region of Iran

Y Garosi, S Ayoubi, M Nussbaum, M Sheklabadi - Geoderma Regional, 2022 - Elsevier
The main goal of this study was to consider and compare the effects of different spatial
resolutions of covariates from different sources on predicting SOC in a semi-arid region …