Search

Entre agosto e dezembro de 2019, a costa do Brasil foi atingida em 11 estados litorâneos, em sua maioria localizados no nordeste do país, por óleo proveniente de um derramamento de origem desconhecida. Foram detectados vestígios e manchas de óleo em diversas Unidades de Conservação marinhas e costeiras, entre elas, a Área de Proteção Ambiental Costa dos Corais (APACC), a maior Unidade de Conservação (UC) marinha federal. Este artigo teve como objetivo realizar um levantamento das localidades atingidas pelo derramamento de óleo dentro da APACC e dos possíveis impactos socioambientais decorrentes deste desastre nos municípios afetados. Para isso utilizou-se o software de geoprocessamento ArcGIS® 10.5, bem como pesquisas em bancos de dados científicos e plataformas institucionais sobre aspectos sociais, econômicos e ambientais da área estudada. Os autores constataram que os municípios de Maragogi, Japaratinga e Porto das Pedras foram os que apresentaram as maiores concentrações de localidades atingidas na APACC e que os setores da pesca e do turismo podem ter sido fortemente impactados por este desastre. Os resultados apontam para a necessidade de avaliar, acompanhar e mitigar os impactos causados pelo óleo na área, visto sua relevância socioeconômica e ambiental, especialmente em relação à preservação dos manguezais e recifes de coral e de seus serviços ecossistêmicos, que sustentam a pesca e o turismo na região.

The hydrology of the Brazilian Pantanal, part of the largest humid tropical area on the planet, follows the rhythm of seasonal floods. The traditional movement of cattle herds in the southern Pantanal is defined by these seasonal flooding patterns, which determine the availability and quality of native-grass pastures throughout the year. Extreme hydrological events, such as prolonged droughts and intense floods, can impact the management of cattle in this region, preventing access to, circulation within, and occupation of some grazing areas. This study aims to analyze the spatial and temporal variability of precipitation, the river levels in this region from 1974 to 2012, and assessed the effects on the evolution of local beef cattle stocks. We integrated the spatiotemporal variability of precipitation and river levels for six gaging stations and standardized these variables using standard deviation and linear trends at annual and seasonal scales. Additionally, we integrated the results with an analysis of the livestock production within the region’s municipalities. Regional precipitation was highly variable, including an almost decadal oscillation, with positive trends in parts of the 1970s and 1980s and a negative trend since the 1990s. River levels in the northern portion of the basin and in the Paraguay River corresponded to those dynamics while presenting marked anomalies. Simultaneously, river levels in the eastern Pantanal changed from negative to positive anomalies, which were more intense in wet months. Both the eastern and western patterns reflected the occurrence of extreme El Nino–Southern Oscillation events and other large-scale climatic patterns. In intra-annual terms, the variability of the river levels during the flooded months at four of the six gaging stations studied suggests an early onset or delay of the flood season, as well as positive anomalies in the ebbing months and in the southeast. Given the lags in flow between different rivers in the region, this behavior draws attention to dam construction and intensification of localized flooding in the southern areas, which may impact everyday life and cattle management. For example, from 2009 to 2012, two severe droughts and an extreme flood significantly impacted livestock numbers in the region. Overall, herd numbers decreased (increased) in humid (dry) periods, including a reduction of over 1 million head during the flood of 1973–1974. The differential level patterns at annual, wet season, and dry season between the eastern and western sides of the Pantanal modulate the livestock activities, where the strong negative anomalies of the levels along the eastern side seem to force the diminution of beef cattle stock at local regions in different intensities in annual scale. This reinforces the effects of climate variability and extreme hydrological events on the management and dynamics of the beef cattle industry and market in Brazil.

The Pantanal is one of the largest wetlands in the world. In Mato Grosso do Sul, the floodplain stands out on the calf production by the use of native grasslands as pastures. It has as a management characteristic the movement of the herds between lowlands and higher areas, at the pace of the annual floods. The commercialization of cattle for rearing, fattening or slaughtering with other localities consolidates an‘always in motion’livestock farming. Severe hydrometeorological events act as forcings on the management of production, which may impact on increased costs and losses. To contribute to the understanding of the territorial organization of the activity in the region, this study identified the multiannual pattern of cattle traffic at intra and intermunicipal scales and between lowland and plateau areas between 2007 and 2014. In addition, it presented the dynamics of cattle displacement in Aquidauana and Corumba, municipalities with the largest areas of wetlands and cattle production of the South Pantanal, considering the episodic events of drought in 2010 and full in 2014. The results showed that the flow of cattle presents different levels of connectivity, with emphasis on intra-Pantanal displacement. Increases were observed in the periods of drought and pre-flood and decrease in the flood months; as well as an occasional intense flow in 2014, suggesting an emergency. This endorses adaptive strategies and the need for actions that minimize the impacts of weather and climate variability on cattle breeding in the region.

Pantanal is one of the largest wetlands in the world. In its southern portion, it hosts significant beef cattle ranching, having a herd of 4,832,200 head of cattle in 2016 (IBGE, 2018). Yet it presents intra-regional differences and complementarities. This article discusses such current territory definition, focusing on cattle ranching in Pantanal, considering its forms of occupation, agents, and its intra-regional flow of cattle. This recognition is essential for the identification of the arrangements developed in the territory, its temporal dynamics and spatial strategies, assuming different forms of interaction with the environment. In order to identify multiple livestock territories and their logics of action, data grouped into four dimensions were considered: (i) agents, (ii) product, (iii) space used, and (iv) flows and circulation, approached in different scales (farms, municipal and units of landscape floodplain/plateau). The analyzes show different forms of domination and territorial appropriation, continuous and discontinuous, permanent and temporary. Mapping of cattle territories in the South Pantanal identified a scenario of multiterritoriality. While maintaining its &ldquo, nursery&rdquo, profile, it presents more intensive arrangements with the rearing and fattening phases. New territorialities represented by external agents and the fragmentation of old properties has genereted a new mapping of the &ldquo, used spaces&rdquo, for cattle breeding and posed new challenges for the maintenance of the traditional cattle production systems in the region.

Classifiers that make use of pixel-by-pixel approaches are limited in the high spatial and radiometric resolution of urban areas, that happens mostly because of the similarity between the target's spectral response like ceramic roofs and bare soil. Because of that, the literature favors approaches that make use of object-oriented analysis for image interpretation, those approaches make a better use of the high spatial resolution and do not use only the target spectral response. Assuming that the object-oriented analysis is a favorable approach to be employed for intra-urban image classification, this paper will assess the results of such approach through an implementation of it in an urbanized area from the city of Campinas (Brazil), which has a size close to twelve square kilometers. Making use of the fusion of high spatial resolution image from Worldview-2 sensor and it's panchromatic band, the experiments were performed with the use of eCognition Developer 8 as the segmentation platform, and the classification being based on a decision tree generated by J48 (C4.5) algorithm on the software WEKA. This work also assess which approach best suits the experiment needs, being an optimal attribute selection achieved through a Wrapper filter, with a final kappa statistic of 0.9425.

Landslides have frequently occurred in last years, due to the disorderly growth of the cities and the occupation of risk areas by the poor population, causing social, environmental and economic impacts. Urban areas in expansion move to geologically unstable areas and topographically inclined, such as the River Bengalas Basin, located in the city of Nova Friburgo, mountainous region of the State of Rio de Janeiro, Brazil. This article aims to present the model developed and used to evaluate the susceptibility and vulnerability of the River Bengalas Basin to landslides, which in January 2011, with the occurrence of heavy rains, caused landslides that impacted in the death of 429 people in city of Nova Friburgo. For the case study, several investigations have been made related to the areas of the basin, such as slope, soil conditions, lithology, land use and cover, vertical curvature (Very Convex, Convex, Flat, Concave, Very Concave), horizontal curvature (Very Divergent, Divergent, Flat, Convergent, Very Convergent), and precipitation data. With this study it was possible to understand how the natural and anthropics elements of the basin are related to the local dynamics of the disasters regarding to their interferences in the induction of landslides; evaluate the effectiveness of the guidelines of the Plano Diretor Participativo of the city of Nova Friburgo regarding the landslides; identify the susceptible and vulnerable areas to landslides and assess the rates of susceptibility and vulnerability to landslides from new calculation model proposed.