Soil and nutrient losses in erosion gullies at different degrees of restoration

Machado, Roriz Luciano; Resende, Alexander Silva de; Campello, E. F. C.; Oliveira, José Arimathéa; Franco, A. A.

doi:10.1590/s0100-06832010000300036

Cited by 18 publications

(14 citation statements)

References 12 publications

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“…These practices can affect ecosystem equilibrium and the chemical, physical, and biological properties of soil, which can be considered indicators of environmental degradation and recovery (Machado et al, 2010;Silva et al, 2012a;Guareschi et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Biological Properties and Organic Matter Dynamics of Soil in Pasture and Natural Regeneration Areas in the Atlantic Forest Biome

Nogueira

Silva

Pereira

et al. 2016

Rev. Bras. Ciênc. Solo

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ABSTRACT:The removal of original vegetation for crops and pasture production and then followed by natural regeneration is a standard practice in the Atlantic Forest, which has produced patches with different degrees of degradation and regeneration across the landscape. The aim of this study was to evaluate the effects of replacement of native forest by pasture and natural regeneration of vegetation on soil and on soil organic matter (SOM) dynamics in the dry and rainy season in an Atlantic Forest fragment in Passa Vinte, Minas Gerais (MG), Brazil. Soil samples were collected in the rainy and dry season, at a depth of 0.00-0.05 m. The variables determined were total organic carbon (TOC) and particle-size fractions of SOM [particulate organic carbon

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Section: Introductionmentioning

confidence: 99%

Biological Properties and Organic Matter Dynamics of Soil in Pasture and Natural Regeneration Areas in the Atlantic Forest Biome

Nogueira

Silva

Pereira

et al. 2016

Rev. Bras. Ciênc. Solo

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“…The basin has a 360 m elevation range, extending from an elevation of 360 m at the mouth of the Ribeirão Cachimbal to 720 m in the Serra do Arrozal (MENEZES et al, 2000;MACHADO et al, 2010). …”

Section: Study Areamentioning

confidence: 99%

Determining vegetation dynamics through the enhanced vegetation index and meteorological variables for the ribeirão Cachimbal basin, Rio de Janeiro-Brazil

Santos¹,

Delgado²,

Pereira³

et al. 2018

Biosci. J.

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ABSTRACT:The objective of this study was to analyze a spatiotemporal study of the vegetation dynamics of the hydrographic basin of the Ribeirão Cachimbal in Rio de Janeiro (Brazil), based on Moderate-Resolution Imaging Spectroradiometer imagery acquired by the TERRA satellite. A total of 23 images were used for each year of El Niño (2005 and2015), 250-m-resolution images from collection 006 of the 16-day Enhanced Vegetation Index (MOD13Q1) product were used. Daily rainfall and temperature data were obtained from a conventional meteorological station at Resende (Rio de Janeiro State), which were made available by the National Institute for Meteorology of Brazil. Simple linear regression analysis was performed to evaluate the dependence of the temporal series of vegetation as a function of the daily series of rainfall and temperature in terms of the significance of their correlation coefficients. Multivariate analysis of the main components was also undertaken. The results of the simple linear regression between the vegetation index and meteorological variables (temperature and rainfall) were significant in the respective years (p-value < 5%), except for rainfall in 2015, which presented a value of 0.06 (p-value < 25%). Observing the trend, both years (2005 and 2015 showed an increase in vegetation in the study area (Z = 0.37 and 0.24, respectively). By quantifying the values of the respective vegetation classes, it was possible to verify that a reduction of 40% had occurred in areas with dense vegetation coverage by 2015. The vegetation dynamics of the Ribeirão Cachimbal basin are influenced by rainfall and temperature variables and they have greatest correlation in spring and summer.

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“…The Médio Paraíba do Sul region is considered the most critical one of the entire basin, considering its history of occupation since the coffee cycle in the 19 th century, followed by an extensive cattle pasture (Machado et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Relationship between remote sensing data and field-observed interril erosion

Moraes

Carvalho

Antunes

et al. 2018

Pesq. agropec. bras.

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-The objective of this work was to evaluate the relationship between different remote sensing data, derived from satellite images, and interrill soil losses obtained in the field by using a portable rainfall simulator. The study was carried out in an area of a hydrographic basin, located in Médio Paraíba do Sul, in the state of Rio de Janeiro -one of the regions most affected by water erosion in Brazil. Evaluations were performed for different vegetation indices (NDVI, Savi, EVI, and EVI2) and fraction images (FI), derived from linear spectral mixture analysis (LSMA), obtained from RapidEye, Sentinel2A, and Landsat 8 OLI images. Vegetation indices are more adequate to predict soil loss than FI, highlighting EVI2, whose exponential model showed R 2 of 0.74. The best prediction models are generated from the RapidEye image, which shows the highest spatial resolution among the sensors evaluated.Index terms: linear spectral mixing analysis, rainfall simulator, vegetation indices. Relação entre dados de sensoriamento remoto e perdas de solo em entressulcos observadas em campoResumo -O objetivo deste trabalho foi avaliar a relação entre diferentes dados de sensoriamento remoto, derivados de imagens de satélite, e perdas de solo em entressulcos obtidas em campo por meio de um simulador de chuvas portátil. O estudo foi realizado em uma microbacia hidrográfica localizada no Médio Paraíba do Sul, no Estado do Rio de Janeiro -uma das regiões mais afetadas por erosão hídrica no Brasil. Foram avaliados diferentes índices de vegetação (NDVI, Savi, EVI e EVI2) e frações de componentes puros (FCP), derivados de modelos lineares de mistura espectral (MLME), obtidos de imagens RapidEye, Sentinel2A e Landsat 8 OLI. Os índices de vegetação são mais adequados à predição da perda de solo do que as FCP, com destaque para o EVI2, cujo modelo exponencial apresentou R 2 de 0,74. Os melhores modelos de predição são gerados a partir da imagem RapidEye, que apresenta maior resolução espacial entre os sensores avaliados.Termos para indexação: modelos lineares de mistura espectral, simulador de chuva, índices de vegetação.

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Soil and nutrient losses in erosion gullies at different degrees of restoration

Cited by 18 publications

References 12 publications

Biological Properties and Organic Matter Dynamics of Soil in Pasture and Natural Regeneration Areas in the Atlantic Forest Biome

Biological Properties and Organic Matter Dynamics of Soil in Pasture and Natural Regeneration Areas in the Atlantic Forest Biome

Determining vegetation dynamics through the enhanced vegetation index and meteorological variables for the ribeirão Cachimbal basin, Rio de Janeiro-Brazil

Relationship between remote sensing data and field-observed interril erosion

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