Mudança de Longo Prazo e Regionalização da Evapotranspiração de Referência no Nordeste Brasileiro

Júnior, Rodrigo Lins da Rocha; Silva, Fabrício Daniel dos Santos; Costa, Rafaela Lisboa; Gomes, Heliofábio Barros; Silva, Maria Cristina Lemos da; Pinto, David Duarte Cavalcante; Herdies, Dirceu Luís; Júnior, Jório Bezerra Cabral; Pita-Díaz, Oscar

doi:10.1590/0102-77863550126

Cited by 10 publications

(7 citation statements)

References 64 publications

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“…The group G2 is located on a part of the north and inland NEB coast, corresponding to the Caatinga, the Cerrado and the Amazon biomes. Both G1 and G2 make up most of the NEB municipalities and are strongly influenced by the variability of ET, since the groups formed of ET are similar to groups of fire foci [53,54]. Rocha Júnior et al [54] evaluated the influence of potential evapotranspiration (PET) on Northeastern Cerrado, and identified that the highest values occurred in the north of MA, with values ranging between 1250 and 2000 mm per year, while, in the Cerrado portion located in Bahia, the values oscillate between 600 and 1500 mm/year.…”

Section: Discussionmentioning

confidence: 99%

“…Both G1 and G2 make up most of the NEB municipalities and are strongly influenced by the variability of ET, since the groups formed of ET are similar to groups of fire foci [53,54]. Rocha Júnior et al [54] evaluated the influence of potential evapotranspiration (PET) on Northeastern Cerrado, and identified that the highest values occurred in the north of MA, with values ranging between 1250 and 2000 mm per year, while, in the Cerrado portion located in Bahia, the values oscillate between 600 and 1500 mm/year. The group G3 is fully inserted within Northeastern Cerrado, while the remaining groups, G4-G10, are fully inserted within the Amazon and Northeastern Cerrado biomes.…”

Section: Discussionmentioning

confidence: 99%

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Spatiotemporal Analysis of Fire Foci and Environmental Degradation in the Biomes of Northeastern Brazil

et al. 2022

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Forest fires destroy productive land throughout the world. In Brazil, mainly the Northeast of Brazil (NEB) is strongly affected by forest fires and bush fires. Similarly, there is no adequate study of long-term data from ground and satellite-based estimation of fire foci in NEB. The objectives of this study are: (i) to evaluate the spatiotemporal estimation of fires in NEB biomes via environmental satellites during the long term over 1998–2018, and (ii) to characterize the environmental degradation in the NEB biomes via orbital products during 1998–2018, obtained from the Burn Database (BDQueimadas) for 1794 municipalities. The spatiotemporal variation is estimated statistically (descriptive, exploratory and multivariate statistics) from the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and Standardized Precipitation Index (SPI) through the Climate Hazards Group InfraRed Precipitation Station (CHIRPS). Moreover, we identify 10 homogeneous groups of fire foci (G1–G10) with a total variance of 76.5%. The G1 group is the most extended group, along with the G2 group, the exception being the G3 group. Similarly, the G4–G10 groups have a high percentage of hotspots, with more values in the municipality of Grajaú, which belongs to the agricultural consortium. The gradient of fire foci from the coast to the interior of the NEB is directly associated with land use/land cover (LULC) changes, where the sparse vegetation category and areas without vegetation are mainly involved. The Caatinga and Cerrado biomes lose vegetation, unlike the Amazon and Atlantic Forest biomes. The fires detected in the Cerrado and Atlantic Forest biomes are the result of agricultural consortia. Additionally, the two periods 2003–2006 and 2013–2018 show periods of severe and prolonged drought due to the action of El Niño.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Analysis of Fire Foci and Environmental Degradation in the Biomes of Northeastern Brazil

et al. 2022

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“…Rocha Júnior et al . (2020) also found increases in ET o over the last decades for most of northeastern Brazil, with air temperature being the primary driver for these changes. In Argentina, De la Casa and Ovando (2016) studied changes in ET o for the central region of the country based only on the decadal averages of air temperature, water vapour pressure, precipitation, cloud cover and wind speed of the 1941–2010 period.…”

Section: Introductionmentioning

confidence: 86%

“…In South America meteorological station networks are poorly distributed along the high diversity of ecosystems and climates, and the complexity of the topography of its territories (Menne et al ., 2012). Several studies have used reanalysis data as a way to study ET o over large areas and in other regions of the world (Ndiaye et al ., 2020; Rocha Júnior et al ., 2020; Raziei and Parehkar, 2021). Although models can generally efficiently measure meteorological variables such as air temperature or solar radiation, there are often differences in ET o values estimated from weather stations data and from models, due to the poor ability of reanalysis data to estimate surface wind speed and relative humidity (Martins et al ., 2017; Raziei and Parehkar, 2021).…”

Section: Introductionmentioning

confidence: 99%

Trends of reference evapotranspiration and its physical drivers in southern South America

Merino

Gassmann

2022

Intl Journal of Climatology

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Reference evapotranspiration (ETo) is a variable used to characterize the evaporative demand of the atmosphere and its impact on the water balance. During the last decades, significant ETo variabilities have been observed, especially at mid‐latitudes. These variabilities respond mainly to local variations in their physical drivers, such as solar radiation, vapour pressure deficit or wind speed. In this study, the annual and seasonal ETo estimates are generated using the Penman–Monteith method (FAO). Surface weather stations for the Argentine territory and reanalysis data for southern South America of the last four decades (1981–2020) are used. Contributions of both aerodynamic (ETaero) and radiative (ETrad) effects are evaluated to analyse their driving role. Significant positive ETo trends are observed from reanalysis data throughout Argentina, especially on the central east side of the Andes Mountain range with values up to 10 mm·year−1. Most of these ETo changes respond to positive trends in air temperature in the study area, while those in the central Andes also respond to negative trends in dew point temperatures. On the other hand, the increase in energy availability through positive trends in net surface radiation produced a slightly higher ETo in the northern regions of the country. Regional ETo values have shown to be more sensitive to variations in air temperature in the northeastern areas, although changes in humidity and solar radiation could also play a role. In a context of climate change, given that temperature and rainfall are expected to increase in the central and northeastern region of the country and decrease along the eastern side of the Andes Mountains in the coming decades, the characteristics observed over the 1981–2020 period are expected to intensify in the near future.

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“…In the central and northern NEB, the SON period was the trimester with the highest deficit, with values over 500 mm (Figure 2d). This result is closely linked to the lack of rainfall caused by the northern displacement of the ITCZ (Hastenrath, 1990;Marengo et al, 2013;Cabral Júnior and Lucena, 2020;Medeiros et al, 2021) and the higher potential for water loss to the atmosphere Bezerra, 2018;Cabral Júnior et al, 2019;Rocha Júnior et al, 2020).…”

Section: Northeast Brazil's Climatologymentioning

confidence: 99%

Climate and water balance influence on agricultural productivity over the Northeast Brazil

Vale,

Spyrides,

Cabral Júnior

et al. 2023

Theor Appl Climatol

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The identification and delimitation of regions based on their agricultural aptitude is essential in order to assure the effective development and adaptation of climate vulnerable regions, such as the Northeast Brazil (NEB). The objective of this study was to analyze the influence of the water balance on subsistence corn, bean and cassava yields during the period from 1990 to 2019. Thus, we characterized the NEB used meteorological variables (precipitation, temperature, relative humidity and radiation) and water balance elements (potential evapotranspiration, water stored in the soil, water deficit and surplus) in order to determine the best sowing periods for the aforementioned crops. Data was assessed by using different statistical analysis tools such as Mann-Kendall's test for trend identification, analysis of variance and correlation heatmaps. Results showed an increasing trend for radiation, temperature and potential evapotranspiration in the wetter regions of the NEB. An increase in water deficit conditions was also identified during September-October-November, and therefore a reduction in water stored in the soil during the following months in all regions of the NEB. In the wetter regions, potential evapotranspiration and temperature were positively correlated with bean and corn yields. In the drier regions, on the other hand, water stored in the soil and water surplus were more positively associated with crop yields. For the other climatic types, the following best sowing windows were identified based on the water balance: January through April (semiarid), March through June (dry subhumid), April through July (moist subhumid), March through July (humid B1) and January through June (humid B2).

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Mudança de Longo Prazo e Regionalização da Evapotranspiração de Referência no Nordeste Brasileiro

Cited by 10 publications

References 64 publications

Spatiotemporal Analysis of Fire Foci and Environmental Degradation in the Biomes of Northeastern Brazil

Spatiotemporal Analysis of Fire Foci and Environmental Degradation in the Biomes of Northeastern Brazil

Trends of reference evapotranspiration and its physical drivers in southern South America

Climate and water balance influence on agricultural productivity over the Northeast Brazil

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