Flavia Pinto

Flavia Pinto

orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 August 2005 in Functional Ecology
Verified
Journal Article
Open access
PDF file
ROR. S. Oliveira
R. S. Oliveira
LBL. Bezerra
L. Bezerra
EDE. A. Davidson
E. A. Davidson
FPFlavia Pinto
Flavia Pinto
CKC. A. Klink
C. A. Klink
AMA. Moreira
A. Moreira
Summary: Water is a key resource in tropical savannas. Changes in vegetation structure due to land‐use change and increased fire frequency may affect the availability of water and the flux of water through these ecosystems. We compared the seasonal soil moisture dynamics of two adjacent savanna ecosystems with contrasting tree densities in central Brazil. Our goal was to investigate the influence of tree density on deep water uptake, soil water dynamics and evapotranspiration. Soil water was measured using a depth of 7·5 m beneath the tree‐dominated cerrado denso ecosystem and to 4 m beneath the grass‐dominated campo sujo ecosystem. Plant‐available water (PAW) throughout the cerrado denso soil profile ranged from 293 mm at the end of the dry season to 689 mm during the wet season. In the grass‐dominated site, PAW in the profile ranged from 155 to 362 mm. During the dry season, ≈82% of the water used in cerrado denso and 67% in campo sujo was extracted from the profile below 1 m. The tree‐dominated cerrado denso used 137 mm more water than the grass‐dominated campo sujo. Significant deep soil water uptake was also observed during the wet season of 1998, when rainfall was below average. Evapotranspiration (ET) rates (estimated as change in soil moisture over time) were higher in cerrado denso than in campo sujo during both seasons. Estimated ET ranged from 1·4 mm day−1 during the dry season to 5·8 mm day−1 for the wet season in cerrado denso, and from 0·9 mm day−1 in the dry season to 4·5 mm day−1 in early wet season in campo sujo. The differences in PAW and ET rates between the two ecosystems are associated not only with differences in root distribution, but also with differences in tree densities and the phenology of full‐leaf canopies. Our results suggest that deep‐rooted plants may contribute significantly to the water balance of cerrado ecosystems, and that the hydrological cycle of this biome could change as woody vegetation is replaced by exotic grasses and agricultural crops.

8 November 2018 in Remote Sensing
Verified
Journal Article
Open access
PDF file
OPOsvaldo José Ribeiro Pereira
Osvaldo José Ribeiro Pereira
LFLaerte Ferreira
Laerte Ferreira
FPFlavia Pinto
Flavia Pinto
LBLeandro Baumgarten
Leandro Baumgarten
Around 55% of all Brazilian cattle production is located in the Cerrado biome, which also contains the largest pasture area in Brazil. Previous studies indicated that about 60% of these pastures were degraded by 2010. However, up-to-date and more precise estimates are necessary to access the extent and degree of degradation of the Cerrado pastures, since these areas constitute strategic land reserves for both livestock intensification and soybean expansion. Therefore, in this study, we estimated the area of degraded pastures in the Cerrado by analyzing the trends of cumulative NDVI anomalies over time used as a proxy for pasture degradation. The generated slope surface was segmented into two classes, comprising non-degraded and degraded pastures, which were correlated with socio-economic and biophysical variables. According to our study, around 39% of the Cerrado pastures are currently degraded, encompassing 18.2 million hectares, mostly in areas with a cattle carrying capacity below 1.0 AU ha−1. These areas, distributed in the northwest Cerrado, mostly within the Brazilian states of Maranhão, Piauí, and Bahia (i.e., Matopiba region), tend to be associated with decreasing rainfall patterns and low investments in soil conservation practices. The degraded areas also tend to be concentrated in municipalities with low human development indices (HDI).

1 January 2013
Verified
Book Chapter
Closed access
PDF file
SBSarah Boyle
Sarah Boyle
BLBryan B. Lenz
Bryan B. Lenz
KGKellen A. Gilbert
Kellen A. Gilbert
WSWilson R. Sprionello
Wilson R. Sprionello
MGMarcela Santamaría Gómez
Marcela Santamaría Gómez
FPFlavia Pinto
Flavia Pinto

1 January 2016 in Expert Systems with Applications
Verified
Journal Article
Closed access
LSLuís Alexandre Estevão Silva
Luís Alexandre Estevão Silva
MSMarinez Ferreira Siqueira
Marinez Ferreira Siqueira
FPFlavia Pinto
Flavia Pinto
FBFelipe Sodré M. Barros
Felipe Sodré M. Barros
GZGeraldo Zimbrão
Geraldo Zimbrão
JSJano Moreira Souza
Jano Moreira Souza


2 August 2022 in Ornithology Research
Verified
Journal Article
Closed access
PDF file
VLVictor Leandro-Silva
Victor Leandro-Silva
MSMarcos Vinicius Alexandre da Silva
Marcos Vinicius Alexandre da Silva
FPFlavia Pinto
Flavia Pinto
LNLuciano Nicolas Naka
Luciano Nicolas Naka