Soil Quality Under Agroforestry Systems and Traditional Agriculture in the Atlantic Forest Biome

Tavares, Patrícia Dias; Silva, Cristiane Figueira da; Pereira, Marcos Gervásio; Freó, Vanessa Aparecida; Bieluczyk, Wanderlei; Silva, Eliane Maria Ribeiro da

doi:10.1590/1983-21252018v31n418rc

Cited by 8 publications

(3 citation statements)

References 25 publications

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“…The agroforests in Quilombola communities demonstrate traditional soil management practices and produce food while promoting Atlantic Forest conservation and delivering ecosystem services (Tubenchlak et al, 2021). For example, in Quilombo do Campinho, Tavares et al (2018) found that the agroforestry systems maintained high levels of total organic carbon, as well as providing the same conditions for soil aggregation as the forest. Thus, the authors concluded that the formation of biodiverse agroecosystems by Quilombolas contributed to maintaining soil quality.…”

Section: Overview Of Findingsmentioning

confidence: 99%

Climate Justice and Participatory Research

2023

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Section: Overview Of Findingsmentioning

confidence: 99%

Climate Justice and Participatory Research

2023

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“…In Brazil, numerous studies have highlighted the influence of SAFs on soil quality (Maia et al 2006, Mamani-Pati et al 2012, Nigussie & Kissi 2012, Notaro et al 2014, nutrient redistribution in soil profile (Nogueira & Oliveira 2008, Nigussie & Kissi 2012, control of soil, water, and nutrient losses through erosive processes (Aguiar et al 2010, Berhe et al 2014, as well as their role as c and n reservoirs (Maia et al 2007, Simões et al 2010, Ribeiro et al 2019, and their impact on soil structural quality (Silva et al 2011, Tavares et al 2018. These studies indicate that SAFs can serve as important alternatives for soil and water use, management and conservation.…”

Section: Introductionmentioning

confidence: 99%

C And N Stocks And Soil Organic Matter Dynamics In Succession Agroforestry Systems In Brazil

HANKE,

NASCIMENTO,

DICK

et al. 2024

An. Acad. Bras. Ciênc.

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Soil organic matter is closely linked to the quality of Agroecosystems and directly influences the agricultural production and the environmental conditions. Understanding of soil organic matter dynamics in agroforestry systems requires studies with a temporal focus, since the changes in its chemical composition tend to follow a gradual behavior. The aim of this study was to investigate the dynamics of changes in stocks and chemical composition of soil organic matter under agroforestry, using systems in different stages of vegetation succession. The soil sampling was carried out from trenches, and litter fractions were also sampled. The samples were collected from different layers of the soil profile under the following conditions: Control; agroforestry with 1 year; agroforestry with 3 years; agroforestry with 7 years and Forest in natural regeneration. The following attributes/parameters were determined/calculated: i) C and N contents and stocks and C/N ratio; ii) C and N proportions in soil granulometric fractions and iii) kinetics of organic matter accumulation in soil with the time of systems evolution. The results showed: i) The C/N ratio tended to increase in depth but did not show a clear variation between the systems evaluated; ii) the adoption of successive agroforestry practices has the potential to increase the C and N stocks in soil; iii) the soil organic matter accumulation occurs gradually during the systems evolution and is mainly related to the particulate fraction (> 0.053 mm).

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“…management(Partelli et al 2012;Nogueira et al 2016;Tavares et al 2018). Aragão et al (2020a) also observed higher soil qCO 2 in low production coffee plantations in the Brazilian tropical savanna.…”

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Physical, chemical and microbiological attributes as discriminators of coffee and forest areas under different soils in the Brazilian Atlantic Forest biome

Aragão

Jesus

Oliveira-Longatti

et al. 2023

Preprint

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Ensuring soil quality of coffee fields is fundamental for sustainable production of coffee itself. Microbiological attributes are especially effective predictors of changes in the soil. But their value as indicators can vary depending on the soil class and the type the management. This study aimed to determine the effect of different soil classes and management (natural systems and agricultural systems) on microbiological attributes and the potential of these attributes to serve as discriminators of different soils used for conventional coffee growing in the Atlantic Forest domain. The microbial biomass carbon (MBC), microbial basal respiration (MBR), the metabolic quotient (qCO2), microbial quotient, and the activity of several enzymes were assessed in coffee plantations and adjacent forests on two soil classes. The lowest values of most attributes were observed in the Planosol under a coffee plantation. The activities of most of the enzymes were higher in the forest’s Oxisol and lower in the Planosol under coffee. Among the physical and chemical attributes, organic matter content, potential acidity, potential cation exchange capacity, pH, phosphorus, and zinc were most important in the discrimination of the areas. For the microbiological attributes, the forest vegetation maintained higher MBC, BMR, qCO2, and urease activity independent of soil class. Nevertheless, the soil class had a marked negative effect on microbial biomass and activity in the Planosol coffee plantation. We can conclude that MBC, FDA, urease, β-glucosidase, and acid phosphatase were the most important attributes in the discrimination of coffee and forest areas under different soil classes.

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Soil Quality Under Agroforestry Systems and Traditional Agriculture in the Atlantic Forest Biome

Cited by 8 publications

References 25 publications

Climate Justice and Participatory Research

Climate Justice and Participatory Research

C And N Stocks And Soil Organic Matter Dynamics In Succession Agroforestry Systems In Brazil

Physical, chemical and microbiological attributes as discriminators of coffee and forest areas under different soils in the Brazilian Atlantic Forest biome

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