Parâmetros morfométricos e corridas de detritos: índice de suscetibilidade e magnitude para bacias hidrográficas na Serra do Mar

Terrestrial Isopods were sampled in four protected Atlantic Forest areas located in Serra do Mar, state of São Paulo, southeastern Brazil. A total of 2,217 individuals of six species (Atlantoscia sp., Benthana werneri, Pseudodiploexochus tabularis, Pudeoniscus obscurus, Styloniscus spinosus and Trichorhina sp.) were captured in pitfall traps. The exotic species S. spinosus is recorded for the first time for the Americas. Another introduced species, P. tabularis, previously recorded only from the state of Rio Grande do Sul, had its geographic distribution extended to the state of São Paulo. The most abundant isopods in this study belong to an undescribed species of Atlantoscia.

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Dengue-2 and Guadeloupe Mosquito Virus RNA Detected in Aedes (Stegomyia) spp. Collected in a Vehicle Impound Yard in Santo André, SP, Brazil

Insects ◽

10.3390/insects12030248 ◽

2021 ◽

Vol 12 (3) ◽

pp. 248

Author(s):

Marina E. O. Rangel ◽

Luana P. R. Oliveira ◽

Aline D. Cabral ◽

Katharyna C. Gois ◽

Marcos V. M. Lima ◽

...

Keyword(s):

Urban Areas ◽

Mosquito Species ◽

Infection Rates ◽

Serra Do Mar ◽

Virus Rna ◽

High Infection ◽

Human Landing ◽

Environmental Protection Area ◽

Protection Area ◽

Minimum Infection Rate

In 2018–2019, we conducted mosquito collections in a municipal vehicle impound yard, which is 10 km from the Serra do Mar Environmental Protection Area in Santo André, SP, Brazil. Our aim is to study arboviruses in the impound yard, to understand the transmission of arboviruses in an urban environment in Brazil. We captured the mosquitoes using human-landing catches and processed them for arbovirus detection by conventional and quantitative RT-PCR assays. We captured two mosquito species, Aedes aegypti (73 total specimens; 18 females and 55 males) and Ae. albopictus (34 specimens; 27 females and 7 males). The minimum infection rate for DENV-2 was 11.5 per 1000 (CI95%: 1–33.9). The detection of DENV-2 RNA in an Ae. albopictus female suggests that this virus might occur in high infection rates in the sampled mosquito population and is endemic in the urban areas of Santo André. In addition, Guadeloupe mosquito virus RNA was detected in an Ae. aegypti female. To our knowledge, this was the first detection of the Guadeloupe mosquito virus in Brazil.

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Brasilianische Grundwasser-Crustacea, 1. Studien an Den Gattungen Parastenocaris Kessler Und Forficatocaris Jakobi Aus Der Serra Do Mar Von São Paulo (Copepoda Harpacticoidea)

Crustaceana ◽

10.1163/156854072x00084 ◽

1972 ◽

Vol 23 (1) ◽

pp. 76-99 ◽

Cited By ~ 4

Author(s):

Wolfram Noodt

Keyword(s):

Sao Paulo ◽

São Paulo ◽

Serra Do Mar

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A new species of the highland frog genus Holoaden (Amphibia, Strabomantidae) from cloud forests of southeastern Brazil

Zootaxa ◽

10.11646/zootaxa.3599.2.4 ◽

2013 ◽

Vol 3599 (2) ◽

pp. 178-188 ◽

Cited By ~ 2

Author(s):

ITAMAR A. MARTINS ◽

HUSSAM ZAHER

Keyword(s):

New Species ◽

Body Size ◽

High Altitude ◽

Ventral Surface ◽

Sao Paulo ◽

Southeastern Brazil ◽

São Paulo ◽

Cloud Forests ◽

Serra Do Mar ◽

A New Species

A new species of the genus Holoaden is described from the Atlantic forest of the state of São Paulo, Brazil, being restricted to primary or slightly disturbed high altitude cloud forests along the northeastern portion of the Serra do Mar. The typelocality is determined as Estação Ecológica de Bananal, in the Municipality of Bananal, State of São Paulo, Brazil. The new species is characterized by its moderate body size (female 42.6–44.2 mm SVL; male 37.2–38.5 mm SVL) with long and slender limbs, a head wider than long, a highly glandular dorsum, covered by well developed macroglands that extend to the internasal region, thigh and tibia, and an intense dark brown dorsal coloration and dark grey ventral surface.

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Artificial neural networks applied for soil class prediction in mountainous landscape of the Serra do Mar¹

Revista Brasileira de Ciência do Solo ◽

10.1590/s0100-06832014000600003 ◽

2014 ◽

Vol 38 (6) ◽

pp. 1681-1693 ◽

Cited By ~ 7

Author(s):

Braz Calderano Filho ◽

Helena Polivanov ◽

César da Silva Chagas ◽

Waldir de Carvalho Júnior ◽

Emílio Velloso Barroso ◽

...

Keyword(s):

Neural Network ◽

Neural Networks ◽

Artificial Neural Networks ◽

Kappa Index ◽

Class Prediction ◽

Soil Class ◽

Serra Do Mar ◽

The Neural Network ◽

Artificial Neural ◽

Local Geology

Soil information is needed for managing the agricultural environment. The aim of this study was to apply artificial neural networks (ANNs) for the prediction of soil classes using orbital remote sensing products, terrain attributes derived from a digital elevation model and local geology information as data sources. This approach to digital soil mapping was evaluated in an area with a high degree of lithologic diversity in the Serra do Mar. The neural network simulator used in this study was JavaNNS and the backpropagation learning algorithm. For soil class prediction, different combinations of the selected discriminant variables were tested: elevation, declivity, aspect, curvature, curvature plan, curvature profile, topographic index, solar radiation, LS topographic factor, local geology information, and clay mineral indices, iron oxides and the normalized difference vegetation index (NDVI) derived from an image of a Landsat-7 Enhanced Thematic Mapper Plus (ETM+) sensor. With the tested sets, best results were obtained when all discriminant variables were associated with geological information (overall accuracy 93.2 - 95.6 %, Kappa index 0.924 - 0.951, for set 13). Excluding the variable profile curvature (set 12), overall accuracy ranged from 93.9 to 95.4 % and the Kappa index from 0.932 to 0.948. The maps based on the neural network classifier were consistent and similar to conventional soil maps drawn for the study area, although with more spatial details. The results show the potential of ANNs for soil class prediction in mountainous areas with lithological diversity.

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Variação cromatica, morfologica e molecular em Brachycephalus da Serra do Mar no Estado do Parana (Amphibia: Brachycephalidae)

10.47749/t/unicamp.2005.334314 ◽

2005 ◽

Author(s):

Luiz Fernando Ribeiro

Keyword(s):

Serra Do Mar

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Limnological study of Piraquara river (Upper Iguaçu basin): spatiotemporal variation of physical and chemical variables and watershed zoning

Brazilian Archives of Biology and Technology ◽

10.1590/s1516-89132003000300010 ◽

2003 ◽

Vol 46 (3) ◽

pp. 383-394 ◽

Cited By ~ 10

Author(s):

Paulo Henrique C. Marques ◽

Haydée Torres de Oliveira ◽

Eunice da Costa Machado

Keyword(s):

River Basin ◽

Oxygen Demand ◽

Principal Component ◽

Serra Do Mar ◽

Spatial Gradients ◽

Water Composition ◽

Physical And Chemical Variables ◽

Nitrite Nitrate ◽

Physical And Chemical ◽

Iguaçu River

The Piraquara river basin (Upper Iguaçu River basin - Brazil) was studied as an ecological system throughout a complete seasonal cycle, comprising the rainy and dry season. Analyzes of 16 physical and chemical water variables (dissolved oxygen, biochemical oxygen demand, temperature, pH, conductivity, total nitrogen, total phosphorus, ortophosphates, nitrite, nitrate, ammonium, reagent silicate, total suspended solids, chlorophyll - a, flow velocity and depth) showed correlations between water composition and watershed physiographic features, and the Principal Component Analysis allowed to evidence spatial gradients and seasonal differences. The sampling points were clustered in patches with homogeneous behavior, according to ecologycal concepts: patch 1, with strong influence of Serra do Mar mountains; patch 2, medium course, under Piraquara Dam influence and patch 3, under wetlands influence. Two main factors of serial discontinuity were identified: the Piraquara dam effect and the influence of wetlands. The watershed zoning based on limnological characteristics seeks to subsidize research and biomonitoring for this public springs area.

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Distribuição e curso anual das precipitações no Estado de São Paulo

Bragantia ◽

10.1590/s0006-87051956000100018 ◽

1956 ◽

Vol 15 (unico) ◽

pp. 193-250 ◽

Cited By ~ 10

Author(s):

Rudolf Schröder

Keyword(s):

Rio Grande ◽

Minas Gerais ◽

Sao Paulo ◽

São Paulo ◽

Serra Do Mar

O presente trabalho trata da distribuição local e sazonal das chuvas no Estado de São Paulo. Serviram de base para sua elaboração os valores da precipitação de 249 postos pluviométricos, cuja distribuição exata é dada numa carta (fig. 4). Descrevemos detalhadamente o material utilizado, comparando-o com séries de observações mais longas de alguns postos pluviométricos, dando atenção especial à decomposição do valor médio. A. descrição da precipitação pluviométrica anual é ordenada segundo os grandes grupos de paisagens geográficas do Estado de São Paulo, como seguem: região costeira, com as paisagens do litoral de S. Sebastião, Santos, Iguapé e Alto do Ribeira; região do Planalto Paulista, que se estende da Serra do Mar até o Rio Paraná; região montanhosa, da Serra da Mantiqueira; e, finalmente, região do Vale do Paraíba, que se apresenta com um caráter próprio em relação às chuvas. Tratando-se de um trabalho para fins agrícolas, as isoiêtas entre 1.000 e 1.500 mm estão representadas com intervalos de 100 mm, e aquelas de 1.500 a 1.700 mm, com intervalos de 200 mm; a partir de 1.700 o intervalo é de 300 mm. E como as chuvas anuais, a partir de 2.000 mm são menos importantes para a agricultura do Estado, daí até 3.000 mm estabelecemos o intervalo de 1.000 mm. Os perfis de precipitação, de Iguapé até o Rio Grande e do Estado do Paraná até o de Minas Gerais, dão-nos conhecimento de que a quantidade de chuva e sua distribuição sazonal varia desde a costa até o interior, c do Estado do Paraná até o de Minas Gerais. Em ambos os perfis acha-se delimitada a "pequena estação chuvosa hibernal". Outrossim, consideramos apenas duas estações do ano, seis meses de inverno, seco e fresco, e seis meses de verão, chuvoso e quente. Grande parte do trabalho encerra o estudo das precipitações mensais, segundo a sua decomposição em pluviogramas. O número de dias chuvosos, a densidade pluviométrica e a probabilidade de chuvas, de cerca de 30 postos escolhidos pela qualidade e confiança das séries longas de observações, são analisados, bem como o quociente de oscilação entre a maior e a menor quantidade de precipitações.

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