C, N stocks, and greenhouse gas emissions in integrated and consortium pasture systems in the brazilian Atlantic Forest biome

• Grant number: 24/02687-8
• Support Opportunities: Regular Research Grants
• Start date: October 01, 2024
• End date: September 30, 2026
• Field of knowledge: Agronomical Sciences - Animal Husbandry - Pastures and Forage Crops
• Principal Investigator: Ana Cláudia Ruggieri
• Grantee: Ana Cláudia Ruggieri
• Host Institution: Faculdade de Ciências Agrárias e Veterinárias (FCAV). Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Jaboticabal , SP, Brazil
• Associated researchers: Carolina Fernandes ; Renata Helena Branco Arnandes ; Wilton Ladeira da Silva
• Associated scholarship(s): 25/02620-3 - technical training on losses of N2O and CH4 gases in the soil soil of integrated and consortium agricultural producton pasture system., BP.TT; 24/23777-5 - C stocks in soils of intercropped and integrated pasture systems in the Brazilian Atlantic Forest biome., BP.TT; 24/23778-1 - Greenhouse gas emissions from soils in integrated and intercropped pasture systems in the Brazilian Atlantic Forest biome., BP.TT; 25/00226-6 - Technical training on C, N stocks and greenhouse gas emissions in soils of intercropped and integrated pasture systems in the Brazilian Atlantic Forest biome, BP.TT

Abstract

Integrated and consortium pasture systems can significantly contribute to greenhouse gas (GHG) mitigation. However, it is still unclear how these systems may affect soil carbon quality and the dynamics of GHG emissions based on emission drivers. To address this, we will assess the GHG mitigation capacity of integrated crop-livestock (ICL), integrated crop-livestock-forest/silvopastoral (ICLFS), Marandu grass with forage peanut consortium (CON), Marandu grass monoculture (MON), and native forest (NF) systems in the Brazilian Atlantic Forest region. The evaluations will encompass carbon and nitrogen stocks, along with examining carbon quality indices obtained through fractionation. The impact of each area's management on macrofauna and microbial carbon will also be assessed (Experiment 1). In this initial experiment, a detailed soil physical analysis will be conducted to investigate potential interactions between soil physics and carbon immobilization. In Experiment 2, we will assess GHG emissions in the soils of the same systems as Experiment 1 under laboratory conditions. Additionally, we will provide detailed incubation of the soil to identify possible interactions between variables, including microbiological aspects. For both experiments, the design will be entirely randomized, with evaluation years and repetitions as random factors. Before statistical analyses, assumptions of normality and homoscedasticity will be tested. Upon confirmation of these assumptions, mean testing (Tukey) will be performed at a probability of p < 0.05. Multivariate statistics will be employed in both experiments to identify the main explanatory variables. (AU)