A Presença De Claude Lévi-Strauss

Silva, Daniel Afonso

doi:10.17666/319114/2016

Cited by 2 publications

(1 citation statement)

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“…OC showed a negative correlation with Sd, indicating high OC contents for low Sd values, which justifies it as an important component in soil structuring. Similar behavior was observed in IBE environments under cocoa cultivation in a Eutrophic Yellow Argisol (Silva et al, 2016). OC is also considered as an important element in the aggregation of soil particles, which has been confirmed by the significant correlation with GAD and WAD aggregate classes.…”

Section: Resultssupporting

confidence: 76%

Multivariate Geospatial Feature of the Soil Attributes of Archaeological Dark Earth in Novo Aripuanã, AM

Cunha¹,

Campos²,

Lima³

et al. 2019

JAS

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Changes in natural ecosystems for the use and management of soil can have negative consequences, favoring the appearance of areas susceptible to physical degradation. This work aimed to evaluate changes on the soil properties in Archaeological Dark Earth environments preserved under pigeon pea cultivation and pasture, using multivariate geostatistics technique. Sampling meshes were delimited with regular spacings with 88 sample points per mesh and then georeferenced. Soil samples and volumetric rings were collected in the layers 0.0-0.05 m, 0.05-0.10 m and 0.10-0.20 m, for the determinations of the physical attributes and soil organic carbon. The main components main components 1 (MC1) and main components 2 (MC2) were characterized by attributes related to the stability of the aggregates (geometric average diameter (GAD), weighted average diameter (WAD) and aggregate classes) and the related soil structure taxes, respectively, with a variability of soil attributes under forest influenced by values above the mean for both main components. Land use under pigeon pea little influenced the variability of the main components, presenting values of the attributes related to these components near the mean values, while the soil under pasture promoted influence only to the attributes related to main components 2 (MC2).

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Section: Resultssupporting

confidence: 76%