Simulation of soil organic carbon changes in Vertisols under conservation tillage using the RothC model

Abstract

The purpose of this study was to determine the measured and simulated rates of soil organic carbon (SOC) change in Vertisols in short-term experiments when the tillage system is changed from traditional tillage (TT) to conservation tillage (CT). The study was conducted in plots in four locations in the state of Michoacán and two locations in the state of Guanajuato. In the SOC change simulation, the RothC-26.3 carbon model was evaluated with different C inputs to the soil (ET1-ET5). ET was the measured shoot biomass (SB) plus estimated rhizodeposition , respectively; later, in a simulation period of 45 years, SOC change was 1.2 ± 0.8. In particular, without making adjustments in the RothC parameters and with information on measured plant residue C inputs to the soil, it was possible to simulate changes in SOC with RothC and estimate trends over a period of more than 45 years.

Responses of soil carbon sequestration to climate‐smart agriculture practices: A meta‐analysis

“…Mukherjee and Lal (2014) found that "carbon dioxide emissions from biochar-amended soils have been enhanced up to 61% compared with It is essential to realistically examine the effects of CSA management practices on SOC and greenhouse gases at multiple scales from plot and field levels to regional and global scales. For example, modeling studies have attempted to investigate regional cropland SOC dynamics as influenced by multiple global environmental changes while considering more traditional and less CSA practices (e.g., Molina, Moreno Pérez, & Pérez, 2017;Nash et al, 2018;Ren, Tian, Tao, Huang, & Pan, 2012. For example, modeling studies have attempted to investigate regional cropland SOC dynamics as influenced by multiple global environmental changes while considering more traditional and less CSA practices (e.g., Molina, Moreno Pérez, & Pérez, 2017;Nash et al, 2018;Ren, Tian, Tao, Huang, & Pan, 2012.…”

“…Therefore, future CSA research is expected to include varied climate and geographic conditions, address more biogeochemical and hydrological processes, and apply diverse methods such as the data-model fusion approach. For example, modeling studies have attempted to investigate regional cropland SOC dynamics as influenced by multiple global environmental changes while considering more traditional and less CSA practices (e.g., Molina, Moreno Pérez, & Pérez, 2017;Nash et al, 2018;Ren, Tian, Tao, Huang, & Pan, 2012.…”

Bacterial predation limits microbial sulfate-reduction in a coastal acid sulfate soil (CASS) ecosystem

“…Compared to soil models such as RothC and CENTURY that are designed for predicting soil organic carbon (Farage et al, 2007;Molina et al, 2017), artificial intelligence packages provide flexible options for researchers to customize modelling targets. For example, previous studies have used Eureqa to predict bacterial assemblages in marine systems (Larsen et al, 2012), and microbial taxonomic and functional structures in acid mine drainage (Kuang et al, 2016).…”