Bergson Guedes Bezerra

ORCID: 0000-0002-1566-3304
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About
Contact & Profiles
Research Areas
  • Plant Water Relations and Carbon Dynamics
  • Environmental and biological studies
  • Remote Sensing in Agriculture
  • Irrigation Practices and Water Management
  • Solar Radiation and Photovoltaics
  • Climate variability and models
  • Forest ecology and management
  • Atmospheric and Environmental Gas Dynamics
  • Growth and nutrition in plants
  • Atmospheric aerosols and clouds
  • Precipitation Measurement and Analysis
  • Hydrology and Watershed Management Studies
  • Urban Heat Island Mitigation
  • Agricultural and Food Sciences
  • Leaf Properties and Growth Measurement
  • Climate change impacts on agriculture
  • Soybean genetics and cultivation
  • Rural Development and Agriculture
  • Research in Cotton Cultivation
  • Hydrology and Drought Analysis
  • Soil Management and Crop Yield
  • Geography and Environmental Studies
  • Calibration and Measurement Techniques
  • Meteorological Phenomena and Simulations
  • Soil Carbon and Nitrogen Dynamics

Universidade Federal do Rio Grande do Norte
2014-2024

Universidade Federal do Oeste do Pará
2023-2024

Brazilian Institute of Environment and Renewable Natural Resources
2024

Universidade Federal de Mato Grosso
2023

Universidade Federal Rural da Amazônia
2023

National Institute for Space Research
2023

Universidade Federal de Mato Grosso do Sul
2023

Universidade de Cuiabá
2023

Instituto Nacional do Semiárido
2012-2013

Universidade Federal de Campina Grande
2008-2012

Abstract Forest ecosystems sequester large amounts of atmospheric CO 2 , and the contribution from seasonally dry tropical forests is not negligible. Thus, objective this study was to quantify evaluate seasonal annual patterns exchanges in Caatinga biome, as well ecosystem condition carbon sink or source during years. In addition, we analyzed climatic factors that control variability gross primary production (GPP), respiration (R eco ) net exchange (NEE). Results showed dynamics components...

10.1038/s41598-020-66415-w article EN cc-by Scientific Reports 2020-06-11

Abstract Many remote sensing‐based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America Europe. Model evaluation across South has done locally or only a single algorithm at time. Here, we provide first of multiple RSBET models, daily scale, wide variety biomes, climate zones, land uses America. We used meteorological data from 25 towers to force four models: Priestley–Taylor Jet Propulsion Laboratory...

10.1029/2020wr028752 article EN Water Resources Research 2021-10-17

The Caatinga dry forest encompasses 11% of the total continental territory Brazil. Nevertheless, most research on relationship between phenology and ecosystem productivity Brazilian tropical forests is aimed at Amazon basin. Thus, in this study we evaluated seasonality (gross primary production—GPP) a preserved environment northeast Analyses were carried out using eddy covariance measurements satellite-derived data from sensor MODIS (MODerate Resolution Imaging Spectroradiometer, MOD17 MOD13...

10.3390/rs14163955 article EN cc-by Remote Sensing 2022-08-15

Understanding the long-term behavior of rainfall and potential evapotranspiration (PET) over watersheds is crucial for monitoring hydrometeorological processes climate change at regional scale. The São Francisco watershed (SFW) in Brazil an important hydrological system that transports water from humid regions throughout Brazilian semiarid region. However, long-term, gapless meteorological data with good spatial coverage region are not available. Thus, gridded datasets, such as Climate...

10.3390/atmos11111207 article EN cc-by Atmosphere 2020-11-07

The Caatinga biome, located in the northeastern region of Brazil, is most populated dryland on planet and extremely vulnerable to land degradation due climatological anthropogenic factors. Energy partitioning substantially influences local climate affects water cycle, which utmost importance for economy livelihood region. Recently, eddy covariance (EC) towers were installed area; thus, scientific community can thoroughly assess energy fluxes over this unique biome. While EC have a high...

10.1016/j.jag.2019.101982 article EN cc-by-nc-nd International Journal of Applied Earth Observation and Geoinformation 2019-10-21

The analysis of gross primary production (GPP) is crucial to better understand CO2 exchanges between terrestrial ecosystems and the atmosphere, while quantification water-use efficiency (WUE) allows for estimation compensation carbon gained water lost by ecosystem. Understanding these dynamics essential comprehend responses environments ongoing climatic changes. objective present study was analyze, through AMERIFLUX LBA network measurements, variability GPP WUE in four distinct tropical...

10.3390/rs14143241 article EN cc-by Remote Sensing 2022-07-06

The objective of this study was to analyze the influence large-scale atmospheric–oceanic mechanisms (El Niño–Southern Oscillation—ENSO and inter-hemispheric thermal gradient Tropical Atlantic) on spatial–temporal variability soy yield in MATOPIBA. following, available literature, were used: (i) daily meteorological data from 1980 2013 (Xavier et al., 2016); (ii) (chemical, physical, hydric) properties predominant soil class area interest, at World Inventory Soil Emission Potentials platform;...

10.3390/atmos11101130 article EN cc-by Atmosphere 2020-10-21

A quantificação da evapotranspiração é de grande importância na modelagem hidrológica e meteorológica, sendo indispensável no manejo hídrico sustentável cultivos irrigados. Neste sentido, o presente trabalho tem por objetivo estimar a real diária - ETr, em escalas local regional, através imagens TM Landsat 5 dados complementares coletados estação aplicação do SEBAL Surface Energy Balance Algorithm for Land. área estudada fica localizada Cariri cearense, composta áreas irrigadas, vegetação...

10.1590/s0102-77862008000300005 article PT cc-by Revista Brasileira de Meteorologia 2008-09-01

The main objective of this paper was to evaluate the daily actual evapotranspiration (ET) accuracy obtained by remote sensing algorithms when compared with Bowen ratio measurements performed in cotton fields. experiment conducted a experimental field EMBRAPA located Ceará State, Brazil. Seven TM Landsat-5 images acquired 2005 and 2008 were used perform SEBAL SSEB algorithms. comparison between estimated values remoting measured situ showed an acceptable accuracy. Besides, algorithm be...

10.4236/ars.2015.43019 article EN Advances in Remote Sensing 2015-01-01

The Semiarid Brazil (SAB) is the wettest semiarid region of world, and its economy strongly based on family farming, predominantly in non-irrigated conditions. Dryland farming this influenced by climate variability, which increases risk crop losses during periods drought. Thus, objective study to identify rainfall number rainy days patterns period from 1979 2014, using data provided Global Precipitation Climatology Project (GPCP). Cluster analysis was used order define homogeneous groups...

10.11137/2018_2_397_409 article EN cc-by Anuário do Instituto de Geociências 2018-08-20

Land degradation in semi-arid natural environments is usually associated with climate vulnerability and anthropic pressure, leading to devastating social, economic environmental impacts. In this sense, remotely sensed vegetation parameters, such as the Normalized Difference Vegetation Index (NDVI), are widely used monitoring forecasting of patterns regions at risk desertification. Therefore, objective study was model NDVI time series six desertification hotspots Brazilian region verify...

10.1080/01431161.2019.1697008 article EN International Journal of Remote Sensing 2019-12-08

The São Francisco River basin is one of the largest in Brazilian territory. This has enormous economic, social and cultural importance for country. Its water used human animal supply, irrigation energy production. located an area with different climatic characteristics (humid semiarid) studies related to precipitation are very important this region. In scenario, objective investigation present assessment rainfall estimated through Integrated Multi-SatellitE Retrievals Global Precipitation...

10.3390/w13192714 article EN Water 2021-10-01

The main objective of this study is to assess the daily ET accuracy obtained by remote sensing algorithms in comparison with measurements situ. experiment was conducted State Ceará, Brazil, a cotton experimental field EMBRAPA using Bowen ratio obtain energy balance components. SEBAL and S-SEBI were used four TM Landsat - 5 images 2005, order determine actual evapotranspiration crop. between estimated values measured situ showed that methods (SEBAL S-SEBI) presented satisfactory results....

10.1590/s0102-77862010000300010 article EN cc-by Revista Brasileira de Meteorologia 2010-09-01

Abstract Plant species of the Brazilian Caatinga experience seasonal wet and dry extremes, requiring seasonally different leaf characteristics for optimizing water availability. We investigated if Croton blanchetianus Baill exhibits morphoanatomical traits across seasons positioning in sunlight/natural shade. Leaves ten 1-3 m tall plants full sunlight natural shade were assessed May, July (wet season), October December (dry season) 2015 gas exchange, size, lamina midrib cross sections (14...

10.1038/s41598-022-04958-w article EN cc-by Scientific Reports 2022-01-19
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