Temporal Dynamics of Soil Carbon Stocks and Mineralization Rates in Coffea arabica Agroforestry Systems DOI Creative Commons

Phonlawat Soilueang,

Yupa Chromkaew,

Nipon Mawan

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 15(1), P. 14 - 14

Published: Dec. 25, 2024

The increasing demand for agricultural land is driving deforestation, which contributes to rising greenhouse gas emissions—a primary driver of climate change. Agroforestry systems present a valuable alternative approach mitigating these emissions. This study investigates the influence various agroforestry on key parameters assessing soil carbon dynamics, including stock, microbial biomass (MBC), and respiration (MR) in northern Thailand. compared different systems, such as coffee monoculture (CA), intercropped with forest trees (CF), persimmon (CP), natural (NF), reference areas. Soil samples were collected from three depths (0–20, 20–40, 40–60 cm) across seasons (rainy, cold, summer). Results showed that use changes NF led 12.10% increase CF an 11.89% decrease CP. CA system non-significant 9.06% forest. MBC levels higher areas (CF CP), comparable those NF. However, exhibited significantly lower (p < 0.05) other treatments. While MR positive correlation, did not necessarily indicate increased activity or significant dissolved organic (DOC) accumulation. Environmental factors, particularly seasonal variations, influenced results all investigations. demonstrates both CP) more effectively mitigate deforestation impacts enhance fertility monoculture. For stock enhancement specifically, emerged optimal choice.

Language: Английский

Open Remote Sensing Data in Digital Soil Organic Carbon Mapping: A Review DOI Creative Commons
Dorijan Radočaj, Mateo Gašparović, Mladen Jurišić

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(7), P. 1005 - 1005

Published: June 26, 2024

This review focuses on digital soil organic carbon (SOC) mapping at regional or national scales in spatial resolutions up to 1 km using open data remote sensing sources, emphasizing its importance achieving United Nations’ Sustainable Development Goals (SDGs) related hunger, climate action, and land conservation. The literature was performed according scientific studies indexed the Web of Science Core Collection database since 2000. analysis reveals a steady rise total 2000, with SOC accounting for over 20% these 2023, among which SDGs 2 (Zero Hunger) 13 (Climate Action) were most represented. Notably, countries like States, China, Germany, Iran lead research. shift towards machine deep learning methods has surged post-2010, necessitating environmental covariates topography, climate, spectral data, are cornerstones prediction methods. It noted that available primarily restrict resolution km, typically requires downscaling harmonize topography (up 30 m) multispectral 10–30 m). Future directions include integration diverse development advanced algorithms leveraging learning, utilization high-resolution more precise mapping.

Language: Английский

Citations

9
Soil Organic Carbon Assessment for Carbon Farming: A Review DOI Creative Commons
Theodoros Petropoulos, Lefteris Benos, Patrizia Busato

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(5), P. 567 - 567

Published: March 6, 2025

This review is motivated by the urgent need to improve soil organic carbon (SOC) assessment methods, which are vital for enhancing health, addressing climate change, and promoting farming. By employing a structured approach that involves systematic literature search, data extraction, analysis, 86 relevant studies were identified. These evaluated address following specific research questions: (a) What state-of-the-art approaches in sampling, modeling, acquisition? (b) key challenges, open issues, potential advancements, future directions needed enhance effectiveness of farming practices? The findings indicate while traditional SOC techniques remain foundational, there significant shift towards incorporating model-based machine learning models, proximal spectroscopy, remote sensing technologies. emerging primarily serve as complementary laboratory analyses, overall accuracy reliability assessments. Despite these challenges such spatial temporal variability, high financial costs, limitations measurement continue hinder progress. also highlights necessity scalable, cost-effective, precise tools, alongside supportive policies incentives encourage farmer adoption. Finally, development “System-of-Systems” integrates sensing, modeling offers promising pathway balancing cost accuracy, ultimately supporting practices.

Language: Английский

Citations

1
Temporal effects of soil organic carbon mineralization during the formation of a siltation body produced by erosion DOI
Yi Zhang, Xiaojun Liu, Peng Li

et al.

CATENA, Journal Year: 2024, Volume and Issue: 241, P. 108030 - 108030

Published: April 16, 2024

Language: Английский

Citations

7
Soil structure and aggregate stability of A-horizons in different soil types across the Nitra Valley slope, western Slovakia DOI
Bogusława Kruczkowska, Edyta Regulska,

Martin Juriga

et al.

Geographia Polonica, Journal Year: 2025, Volume and Issue: 98(1), P. 97 - 107

Published: April 1, 2025

The aim of the study was to identify impact basic soil properties and slope inclination on distribution stability water-stable aggregates in three different land uses (deciduous forest, vineyard, arable soil) across types (Luvic Chernic Phaeozem, Eutric Cambisol, Vermic Chernozem) slopes Nitra Valley, western Slovakia. analysis revealed that type significantly influences aggregate structure vulnerability, while depth organic carbon content do not. Changes primary soilorganic matter affected aggregation. Increased mineralization (SOM) supported formation primarily large macro-aggregates (WSAma) > 3 mm, whereas immobilizationof SOM led stabilization smaller WSAma 1-0.25 mm water stablemicro-aggregates. Cambisol exhibited highest both dry wet conditions as well thelowest vulnerability structure.

Language: Английский

Citations

0
Assessment of soil erosion rates, carbon stocks, and erosion-induced carbon loss in dominant forest types of the Himalayan region using fallout-137Cs DOI Creative Commons
Anu David Raj, Suresh Kumar, K. R. Sooryamol

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 29, 2025

Language: Английский

Citations

0
Effect of soil-groundwater system on migration and transformation of organochlorine pesticides: A review DOI Creative Commons

Haohao Li,

Lin Huo,

Rui Zhang

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2024, Volume and Issue: 290, P. 117564 - 117564

Published: Dec. 18, 2024

Language: Английский

Citations

2
Variability in the home-field advantage of litter decomposition mediates alterations in soil CO2 and CH4 fluxes: A transplantation experiment study DOI

Yongxia Meng,

Peng Li,

Xiaohuang Liu

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175685 - 175685

Published: Aug. 24, 2024

Language: Английский

Citations

1
Temporal Dynamics of Soil Carbon Stocks and Mineralization Rates in Coffea arabica Agroforestry Systems DOI Creative Commons

Phonlawat Soilueang,

Yupa Chromkaew,

Nipon Mawan

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 15(1), P. 14 - 14

Published: Dec. 25, 2024

The increasing demand for agricultural land is driving deforestation, which contributes to rising greenhouse gas emissions—a primary driver of climate change. Agroforestry systems present a valuable alternative approach mitigating these emissions. This study investigates the influence various agroforestry on key parameters assessing soil carbon dynamics, including stock, microbial biomass (MBC), and respiration (MR) in northern Thailand. compared different systems, such as coffee monoculture (CA), intercropped with forest trees (CF), persimmon (CP), natural (NF), reference areas. Soil samples were collected from three depths (0–20, 20–40, 40–60 cm) across seasons (rainy, cold, summer). Results showed that use changes NF led 12.10% increase CF an 11.89% decrease CP. CA system non-significant 9.06% forest. MBC levels higher areas (CF CP), comparable those NF. However, exhibited significantly lower (p < 0.05) other treatments. While MR positive correlation, did not necessarily indicate increased activity or significant dissolved organic (DOC) accumulation. Environmental factors, particularly seasonal variations, influenced results all investigations. demonstrates both CP) more effectively mitigate deforestation impacts enhance fertility monoculture. For stock enhancement specifically, emerged optimal choice.

Language: Английский

Citations

0