9 resultados para Ecological perspective

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


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Família e escola são considerados contextos primordiais para o desenvolvimento humano, sendo desejável que haja um elo adequado entre esses espaços. Pautado nessa premissa, este artigo objetiva analisar as relações estabelecidas entre a escola e a família de crianças com baixo rendimento escolar, salientando que a escola pesquisada adota o regime de progressão continuada. O referencial teórico do estudo foi a perspectiva bioecológica de Bronfenbrenner. Participaram da pesquisa seis crianças, seus respectivos responsáveis e professoras. A coleta de dados consistiu de entrevistas semiestruturadas e observações. Os dados foram coligidos em duas categorias: envolvimento e comunicação. Embora os resultados destaquem a comunicação como principal veículo de trocas entre os dois contextos, essa necessita ser aprimorada. A família e a escola compreendem que devem trabalhar em colaboração, mas tal relação precisa ser reconstruída, pois se mostra assimétrica e repleta de preconceitos.

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Pós-graduação em Filosofia - FFC

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Pós-graduação em Estudos Linguísticos - IBILCE

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Música - IA

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Pós-graduação em Educação Escolar - FCLAR

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Biodiversity is organised into complex ecological networks of interacting species in local ecosystems, but our knowledge about the effects of habitat fragmentation on such systems remains limited. We consider the effects of this key driver of both local and global change on both mutualistic and antagonistic systems at different levels of biological organisation and spatiotemporal scales.There is a complex interplay of patterns and processes related to the variation and influence of spatial, temporal and biotic drivers in ecological networks. Species traits (e.g. body size, dispersal ability) play an important role in determining how networks respond to fragment size and isolation, edge shape and permeability, and the quality of the surrounding landscape matrix. Furthermore, the perception of spatial scale (e.g. environmental grain) and temporal effects (time lags, extinction debts) can differ markedly among species, network modules and trophic levels, highlighting the need to develop a more integrated perspective that considers not just nodes, but the structural role and strength of species interactions (e.g. as hubs, spatial couplers and determinants of connectance, nestedness and modularity) in response to habitat fragmentation.Many challenges remain for improving our understanding: the likely importance of specialisation, functional redundancy and trait matching has been largely overlooked. The potentially critical effects of apex consumers, abundant species and supergeneralists on network changes and evolutionary dynamics also need to be addressed in future research. Ultimately, spatial and ecological networks need to be combined to explore the effects of dispersal, colonisation, extinction and habitat fragmentation on network structure and coevolutionary dynamics. Finally, we need to embed network approaches more explicitly within applied ecology in general, because they offer great potential for improving on the current species-based or habitat-centric approaches to our management and conservation of biodiversity in the face of environmental change.

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

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Statistical methods for analyzing agroecological data might not be able to help agroecologists to solve all of the current problems concerning crop and animal husbandry, but such methods could well help them assess, tackle, and resolve several agroecological issues in a more reliable and accurate manner. Therefore, our goal in this article is to discuss the importance of statistical tools for alternative agronomic approaches, because alternative approaches, such as organic farming, should not only be promoted by encouraging farmers to deploy agroecological techniques, but also by providing agroecologists with robust analyses based on rigorous statistical procedures.