[HTML][HTML] Applications and challenges of digital soil map** in Africa

AM Nenkam, AMJC Wadoux, B Minasny, FBT Silatsa… - Geoderma, 2024 - Elsevier
The map** of soils in Africa is at least a century old. We currently have access to various
maps depicting map** units locally and for the continent. In the past two decades, there …

A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and map** soil organic carbon stocks across an …

K Were, DT Bui, ØB Dick, BR Singh - Ecological Indicators, 2015 - Elsevier
Soil organic carbon (SOC) is a key indicator of ecosystem health, with a great potential to
affect climate change. This study aimed to develop, evaluate, and compare the performance …

Evaluation of the carbon sink capacity of the proposed Kunlun Mountain National Park

L Zhao, M Du, W Du, J Guo, Z Liao, X Kang… - International Journal of …, 2022 - mdpi.com
National parks, as an important type of nature protected areas, are the cornerstone that can
effectively maintain biodiversity and mitigate global climate change. At present, China is …

Map** stocks of soil organic carbon and soil total nitrogen in Liaoning Province of China

S Wang, Q Zhuang, Q Wang, X **, C Han - Geoderma, 2017 - Elsevier
Estimation of carbon and nitrogen stocks is important for quantifying carbon and nitrogen
sequestration as well as greenhouse gas emissions and inventorying national carbon and …

The main factors controlling spatial variability of soil organic carbon in a small karst watershed, Guizhou Province, China

Y Bai, Y Zhou - Geoderma, 2020 - Elsevier
Soil organic carbon (SOC) is an important component of the global carbon pool. Assessment
of SOC in a karst mountainous area is a great challenge due to the high spatial …

Investigating the spatio-temporal variability of soil organic carbon stocks in different ecosystems of China

S Wang, L Xu, Q Zhuang, N He - Science of the Total Environment, 2021 - Elsevier
Soil organic carbon (SOC) significantly influences soil fertility, soil water holding capacity,
and plant productivity. In this study, we applied two boosted regression tree (BRT) models to …
[Free GPT-4]
[DeepSeek]
P Somarathna, BP Malone, B Minasny - Geoderma Regional, 2016 - Elsevier
Various digital soil map** techniques ranging from simple linear models to complex
machine learning techniques have been employed for soil organic carbon (SOC) map** …