Distribuição de cladóceros planctônicos (Crustacea: Branchiopoda) em um reservatório eutrófico raso (Paraná, Brasil)

This study focused the spatial and temporal distribution of the composition, abundance, and diversity of planktonic cladocerans from eutrophic, Iraí Reservoir, as well as their relationships with some biotic and abiotic variables. The tested hypothesis was that cladocerans present higher variation in a temporal than in a spatial scale. The samples were taken monthly in 6 stations, from March/02 to July/03. Twenty-four taxa were identified, distributed in 7 families, the richest families being Daphniidae (6 spp.), Chydoridae (6 spp.), and Bosminidae (5 spp.). The most frequent and abundant species were Bosmina hagmanni, Moina minuta, and Ceriodaphnia cornuta. The highest abundances were found in September/2002. Temporally, rainfall influenced organism's distribution, while spatially cladocerans were more affected by reservoir hydrodynamics and wind action. The low species richness could be a reflection of the trophic state of the reservoir, in which a dominance of Cyanobacteria was observed during that study period. Both scales showed high variation, but only the temporal scale showed significant difference to richness and abundance. Nearby the end of this study, higher stable values of species richness were recorded, which could suggest an increase in the water quality due to des-pollutions actions.

Asymptotic approach for the nonlinear equatorial long wave interactions

In the present work we use an asymptotic approach to obtain the long wave equations. The shallow water equation is put as a function of an external parameter that is a measure of both the spatial scales anisotropy and the fast to slow time ratio. The values given to the external parameters are consistent with those computed using typical values of the perturbations in tropical dynamics. Asymptotically, the model converge toward the long wave model. Thus, it is possible to go toward the long wave approximation through intermediate realizable states. With this approach, the resonant nonlinear wave interactions are studied. To simplify, the reduced dynamics of a single resonant triad is used for some selected equatorial trios. It was verified by both theoretical and numerical results that the nonlinear energy exchange period increases smoothly as we move toward the long wave approach. The magnitude of the energy exchanges is also modified, but in this case depends on the particular triad used and also on the initial energy partition among the triad components. Some implications of the results for the tropical dynamics are disccussed. In particular, we discuss the implications of the results for El Nĩo and the Madden-Julian in connection with other scales of time and spatial variability. © Published under licence by IOP Publishing Ltd.

Engenheiros dos ecossistemas em plantas: modificações arquiteturais de folhas por largatas de Lepidoptera influenciam a estrutura de comunidades de artrópodes

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Mapeamento de sensibilidade ambiental a derramentos de petróleo do sistema estuarino de Santos, estado de São Paulo

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Alterações climáticas e a percepção dos munícipes de Rio Claro - SP

Pós-graduação em Geografia - IGCE

Estoque de biomassa e carbono florestal em unidades de paisagem na Amazônia: uma análise a partir da abordagem metodológica ecologia da paisagem

O presente trabalho tem por objetivo central demonstrar a variabilidade existente na floresta no que tange aos estoques de biomassa e carbono florestal acima do solo, a partir da identificação e caracterização, com base em técnicas de sensoriamento remoto, de unidades de paisagem em uma área situada no município de Belterra, região oeste do Estado do Pará, a partir da matriz teórico-conceitual da abordagem Ecologia da Paisagem. Para o alcance de tal proposição, a metodologia empregada partiu da revisão da literatura sobre o tema, aquisição de dados cartográficos e orbitais, uso de técnicas de sensoriamento remoto, coleta de dados em campo, tratamento e análise estatística. O trabalho está dividido em quatro capítulos, seguidos pelas considerações gerais da obra. Partindo da matriz teórico-metodológica da Ecologia da Paisagem, analisa-se a dinâmica socioambiental do município de Belterra, que atualmente experimenta a expansão das atividades agrícolas, com destaque para a agricultura mecanizada da soja. A partir da análise multitemporal de imagens Landsat do município pôde-se avaliar a distribuição da cobertura florestal existente no mesmo, bem como o padrão espacial de distribuição das principais unidades de paisagem identificadas. Considerando esse recorte, realizou-se a coleta de dados em campo via inventário florestal em quatro tipologias florestais (floresta de alto platô, floresta de baixo platô, vegetação secundária e tensão ecológica) para obtenção de parâmetros morfométricos da vegetação e posterior quantificação dos estoques de biomassa e carbono contidos em cada unidade, bem como observar o comportamento estrutural da floresta nas mesmas. A adoção da paisagem como escala espacial de análise mostrou-se bastante satisfatória na quantificação dos estoques de biomassa e carbono florestal ao permitir considerar a influência da dinâmica socioeconômica na redução desses estoques. Além disso, possibilitou constatar que o reconhecimento da heterogeneidade da cobertura florestal é um elemento fundamental para a obtenção de estimativas de carbono de acordo com as características estruturais da vegetação, que varia de acordo com a topografia do terreno, com as espécies existentes e com as características geográficas, o que envolve a tipologia climática, as características geomorfológicas, pedológicas e geológicas da área.

Produção do espaço e gestão hídrica na Bacia do Rio Paraibuna (MG-RJ): uma análise crítica

Pós-graduação em Geografia - FCT

Efeitos do tipo de floresta e da estrutura de habitat em assembléias de primatas no sudoeste da Amazônia

A heterogeneidade ambiental expressa diferenças naturais entre áreas e é um fator determinante para a riqueza e abundância local de primatas. Neste estudo nós investigamos a composição e estrutura de assembléias de primatas em quatro tipos de floresta: floresta de terra firme, florestas de igapó sazonalmente inundáveis por rios de águas claras (aberta e densa) e cerradão na Reserva Biológica do Guaporé, sudoeste da Amazônia Brasileira. Além disso, avaliamos a associação entre a ocorrência e abundância dos primatas com diferenças estruturais das florestas. Realizamos 617,8 km de censos pelo método de transecção linear (~154 km por tipo de floresta) e avaliamos a estrutura da vegetação em 108 parcelas de 200 m² (0,54 ha por tipo de floresta). Dez espécies de primatas foram registradas durante os 11 meses deste estudo. A floresta de terra firme apresentou o maior número de espécies e a maior densidade de primatas, principalmente devido à presença exclusiva de Callicebus moloch e a maior abundância de Sapajus apella. A elevada densidade de Ateles chamek na floresta aberta inundável foi preponderante para a maior biomassa de primatas neste tipo de floresta. Nas florestas inundáveis e na terra firme, Ateles chamek e Sapajus apella responderam juntas por mais de 70% da biomassa de primatas, e no cerradão apenas Sapajus apella foi responsável por 68% da biomassa. Diferenças entre tipos de floresta na composição específica e abundância relativa de primatas foram associadas com o regime de inundação e com algumas variáveis de estrutura de habitat (densidade de árvores no sub-bosque e no dossel, abertura do dossel, altura total do dossel e densidade de palmeiras e lianas). Nossos resultados reforçam a importância de paisagens heterogêneas na Amazônia, pois estas áreas tendem a contribuir para uma maior diversidade de espécies em uma escala de paisagem.

Traços de história de vida de três espécies de peixes em riachos da bacia do rio Corumbataí-SP

Pós-graduação em Ciências Biológicas (Zoologia) - IBRC

Análise geoestatística da variabilidade espacial do acabamento com tingidor em painéis de madeira colada lateralmente

Classical statistical techniques which necessarily assume that all sampling units are random and independent were always used in the timber industry. Geostatistics considers that certain phenomena are characterized by spatial dependence: values of sampling units closer to each other tend to be more similar than values of sampling units farther away. This study aimed to characterize the spatial variability of the finishing (dyer) in the upper and lower surfaces of four edge glued panels by using geostatistical methods using geoR. Semivariograms were constructed for the analysis of spatial dependence. The spherical mathematical model was the best fit to the semivariograms generated, and was done the interpolation of the data (kriging) in samples where the distribution of dyer presents spatial dependence. In the bottom surfaces of two panels where the spatial dependence was detected geostatistical methods characterized a very large spatial variability due to the heterogeneous application of the finishing

O ensino da lógica na educação básica

This work has as its aims to offer a general view on the teaching of logics in the basic education by means of different materials on the theme. There are highlighted considerations on academic works in the area of math education that claims the teaching of logics on basic education as a means of developing the reason and promote the learning. It is done a bibliographic review on works that approach the theory of formal logics that presents different ways of working the teaching of logics. The curricular proposition of São Paulo State for the Math area is analyzed and its characteristics are discussed. The learning evaluation in a large federal scale for the teaching of middle and basic education are detailed in its matrix of references and content approached in its editions searching the evidences of a logical reasoning worth. A portal M3 Multimedia math is presented in activities in video format for the teaching of logics. After an analyze of the references where the focus was related to the learning of Math by means of an approaching where logics acts as a tool. It is possible to consider that there is a relevant number of researches and publishing in the area of Math education that approaches the concepts of formal logics. There is also evidences of a changing in National and State orientations for a basic education that reflects in its didactics resources and evaluations in a large scale. Even though, we can face difficulties on implementation of these proposes that is pointed out by constant critics by teachers concerning the changes in the resources and cited evaluations by the resistance of a considerable percentage of teachers to adopt the didactics materials distributed by the State and by the low performance of students in Public Schools in tests of learning

Metacommunity versus Biogeography: a case study of two groups of neotropical vegetation-dwelling arthropods

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Um estudo da vulnerabilidade socioclimática no Brasil e no mundo

The Socio Climate Vulnerability Index (IVSC, Portuguese acronym) aims to expose spatially and in a comparative basis, human settlement areas that are more susceptible to the potential risks posed by climate change. To access this vulnerability, the IVSC draws on the aggregation of adaptive capacity and sensitivity indicators (Human Development Index and population density) and an indicator of projected climate change (Regional Climate Change Index-IRCM). The IVSC can be applied to any spatial scale, as long as data in reasonable resolution.is available. Knowing the spatial distribution of vulnerability is an important strategic step in development and implementation of measures that seeks to improve human development and the preparedness of society for future environmental changes. In addition, the production and comparison climate change vulnerability indexes is an important exercise to improve gradually the quality of information provided to decision makers and stakeholders in the management of measures involving climate change adaptation

Um estudo da vulnerabilidade socioclimática no Brasil e no mundo

The Socio Climate Vulnerability Index (IVSC, Portuguese acronym) aims to expose spatially and in a comparative basis, human settlement areas that are more susceptible to the potential risks posed by climate change. To access this vulnerability, the IVSC draws on the aggregation of adaptive capacity and sensitivity indicators (Human Development Index and population density) and an indicator of projected climate change (Regional Climate Change Index-IRCM). The IVSC can be applied to any spatial scale, as long as data in reasonable resolution.is available. Knowing the spatial distribution of vulnerability is an important strategic step in development and implementation of measures that seeks to improve human development and the preparedness of society for future environmental changes. In addition, the production and comparison climate change vulnerability indexes is an important exercise to improve gradually the quality of information provided to decision makers and stakeholders in the management of measures involving climate change adaptation

Species Distribution Modeling for Conservation Purposes

Species distribution models (SDMs) can be useful for different conservation purposes. We discuss the importance of fitting spatial scale and using current records and relevant predictors aiming conservation. We choose jaguar (Panthera onca) as a target species and Brazil and Atlantic Forest biome as study areas. We tested two different extents (continent and biome) and resolutions (similar to 4 Km and similar to 1 Km) in Maxent with 186 records and 11 predictors (bioclimatic, elevation, land-use and landscape structure). All models presented satisfactory AUC values (>0.70) and low omission errors (<23%). SDMs were scale-sensitive as the use of reduced extent implied in significant gains to model performance generating more constrained and real predictive distribution maps. Continental-scale models performed poorly in predicting potential current jaguar distribution, but they reached the historic distribution. Specificity increased significantly from coarse to finer-scale models due to the reduction of overprediction. The variability of environmental space (E-space) differed for most of climatic variables between continental and biome-scale and the representation of the E-space by predictors differed significantly (t = 2.42, g.I. = 9, P < 0.05). Refining spatial scale, incorporating landscape variables and improving the quality of biological data are essential for improving model prediction for conservation purposes.