文章基本信息

标题：Atributos físicos e químicos em voçorocas no Bioma da floresta Atlântica
其他标题：Physical and chemical attributes of soil on gully erosion in the Atlantic forest biome
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作者：Gomes, João Henrique Gaia ; Pereira, Marcos Gervasio ; Francelino, Márcio Rocha 等
期刊名称：Revista Ambiente & Água
印刷版ISSN：1980-993X
出版年度：2020
卷号：15
期号：2
页码：1-15
DOI：10.4136/ambi-agua.2459
出版社：Instituto de Pesquisas Ambientais em Bacias Hidrográficas
摘要：Soil is a fundamental natural resource for subsistence and development of humanity, exploited mainly for agriculture. Agricultural practices, though, are improperly performed, compromising edaphic conditions and favoring erosive processes, which mainly culminate in the loss of soil and nutrients. Water erosion represents the main form of soil degradation, given that the impact of raindrops on the soil results in the detachment of particles, a process favored by factors such as climate, relief, soil vegetation and use and occupation. The objective of the study was to classify four gullies based on their evolutionary turns and to judge the physical-chemical classifications of the soil at the internal and external faces of the gullies. The morphology of the gullies was classified by aerial images generated by drones. The gullies were mapped using Google Earth images from 2016. The qualitative assessment was performed using the digital field-elevation curvature (MDESC) model with field validation. Deformed samples were collected at depths of 0-10 and 10-20 cm, while non-deformed samples were collected at depths of 0.0-0.10 cm to evaluate their chemical and physical attributes. A nonparametric 5% Kruskal-Wallis statistical analysis was performed on the resulting data. The chemical and physical attributes of the soil differed according to the evolutionary stage of the surfaces (internal and external) at depths of 0 to 10 cm, while the faces showed differences in depth of 10 to 20 cm.
关键词：geotecnologias;indicadores de qualidade do solo;processos erosivos
其他关键词：erosive process;geotechnologies;soil quality indicators