The Semi-arid Domain of the Northeast of Brazil

Corrêa, Antônio Carlos de Barros; Tavares, Bruno de Azevêdo Cavalcanti; Lira, Daniel Rodrigues de; Mützenberg, Demétrio; Cavalcanti, Lucas Costa de Souza

doi:10.1007/978-3-030-04333-9_7

Cited by 25 publications

(3 citation statements)

References 30 publications

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“…The Jeremias Dam Watershed, located in Desterro municipality/Paraíba State, has a catchment area of 92 km 2 and shows representative social-environmental characteristics of the crystalline (igneous and metamorphic rocks) areas of the Brazilian Drylands. It is situated in the Borborema Highlands (Figure 1) between the summit surfaces (granitoids) and the intermontane depressions (meta-sedimentary and meta-volcanic rocks) (Corrêa et al, 2019). This region has 740 mm/year average rainfall, with annual rainfall fluctuation from 203 mm/year to 1224 mm/year, and shows mainly natural vegetation (Chaves et al, 2015), with crops, predominantly beans and maize, covering around 8% of the basin.…”

Section: Study Areamentioning

confidence: 99%

“…In contrast, the Spanish semi-arid zone generally has between 300 mm/year and 500 mm/year. However, tropical dryland areas show high average potential evapotranspiration rates, annual values above 1600 mm/year, leading to a hydrological balance deficiency (Corrêa et al, 2019;Costa, Becker, & Brito, 2013). The higher rainfall rates generate a landscape arrangement in tropical drylands, such as NE Brazil, different from others dryland areas, mainly producing a denser vegetation assembly.…”

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Influence of seasonal vegetation dynamics on hydrological connectivity in tropical drylands

Souza

Hooke

2021

Hydrological Processes

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Seasonally dry forests in tropical regions show over 300% inter-annual biomass variability that directly affects the runoff and erosion dynamics. However, biomass fluctuation is mostly overlooked in hydrosedimentological analysis, including in connectivity analysis. The aim of this paper is to understand how the dryland vegetation seasonality in Brazilian drylands affects the potential runoff and sediment connectivity using the Index of Connectivity (stream and outlet targets). Two main analytical steps were used to identify the influence of dry forest biomass fluctuation on connectivity: Creation of vegetation scenarios based on the relationship between rainfall patterns and NDVI fluctuations (Landsat images); Identification of the effect of the vegetation scenarios on Index of Connectivity. The method was applied to a 90 km 2 watershed in NE Brazil, creating a daily vegetation classification using five vegetation scenarios related to rainfall parameters, with average NDVI values from 0.18 during very dry scenarios (<20 mm of antecedent rainfall) to 0.62 in very wet scenario (>500 mm of antecedent rainfall). The primary connectivity behaviour is controlled by a continuous connectivity decrease, reaching 32%, related to increase of humidity and vegetation biomass. At the same time, due to rainfall irregularity, high magnitude rainfall events can occur even during very dry scenarios, when the watershed shows very high potential connectivity. It indicates that connectivity in runoff-dominated regions is temporally variable due to the highly seasonal vegetation and variable incidence of intense rainstorms.

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Section: Study Areamentioning

confidence: 99%

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confidence: 99%

Influence of seasonal vegetation dynamics on hydrological connectivity in tropical drylands

Souza

Hooke

2021

Hydrological Processes

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“…Do ponto de vista genético, o flanco da mTac que atua no Nordeste do Brasil pode ser entendido como uma continuidade da mTa após ter suas características modificadas pela interação com a superfície continental. A presença de uma camada de inversão alísios na estrutura vertical dessa massa de ar relaciona-se a condições de tempo estáveis no interior da região Nordeste, condizentes com o estabelecimento de paisagens secas (Corrêa et al, 2019). Esse fato é corroborado pela presença persistente de uma camada de inversão dos ventos alísios no flanco oriental dos anticiclones subtropicais (a exemplo do Asas), como consequência da subsidência atmosférica produzida pelas células de Hadley e Walker (Barry;Chorley, 2013;Reboita et al, 2016).…”

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Desarrollo de un sistema de clasificación climática basado en la metodología de tipos sinópticos de tiempo para la Región Nordeste de Brasil

Wanderley,

Nóbrega

2022

GEOUSP (Online)

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Este estudo teve como objetivo desenvolver um sistema de classificação climática, de base sinótica, para o Nordeste Brasileiro. Como método, foram identificadas e sistematizadas as características atmosféricas, em superfície, relativas aos sistemas sinóticos individualizados e às massas de ar que atuam na Região. Para tanto, foi aplicada a Análise de Componentes Principais, seguida da Análise de Agrupamento Hierárquico pelo método de Ward. Esses procedimentos resultaram na delimitação de grupos similares de estações meteorológicas quanto ao comportamento diário das variáveis atmosféricas. Esses grupos foram relacionados aos sistemas sinóticos com auxílio de imagens de satélite e cartas sinóticas de superfície. A classificação climática final foi obtida pela análise de agrupamento das frequências sazonais de atuação dos sistemas sinóticos, atribuídas às estações meteorológicas regionais. Como resultados, foram descritos os tipos de tempo associados aos sistemas sinóticos, e foram apresentados nove tipos climáticos para o Nordeste brasileiro.

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