Educomunicação e suas áreas de intervenção: Novos paradigmas para o diálogo intercultural

oai:omp.abpeducom.org.br:publicationFormat/1O material aqui divulgado representa, em essência, a contribuição do VII Encontro Brasileiro de Educomunicação ao V Global MIL Week, da UNESCO, ocorrido na ECA/USP, entre 3 e 5 de novembro de 2016. Estamos diante de um conjunto de 104 papers executivos, com uma média de entre 7 e 10 páginas, cada um. Com este rico e abundante material, chegamos ao sétimo e-book publicado pela ABPEducom, em seus seis primeiros anos de existência. A especificidade desta obra é a de trazer as “Áreas de Intervenção” do campo da Educomunicação, colocando-as a serviço de uma meta essencial ao agir educomunicativo: o diálogo intercultural, trabalhado na linha do tema geral do evento internacional: Media and Information Literacy: New Paradigms for Intercultural Dialogue

Transformed Images for Assessing Timber Volume Change in Pinus spp.

The selective timber extraction is an expressive activity in Brazilian Amazonia, but it can not be precisely detected by orbital images. Timber volume can express forest biomass and this is related to Leaf Area Index (LAI). Since LAI can be estimated by transformed orbital images, the objective of this work is to evaluate the sensitivity of vegetation index and fraction images in the detection of timber volume change in Pinus spp. plantations, considering two situations: before and after thinning

Análise multivariada de dados dendrométricos e radiométricos referentes à uma plantação de Pinus

In remote sensing studies, it is a common procedure to relate information acquired from orbital images to those obtained from laboratory or field works. To analyze how both of these two types of information are related, the statistical analysis is the most indicated technique, mainly considering scatterplots, regression models and correlation coefficients. Researches involving vegetation are the most frequently carried out and this type of approach is very usual to understand how spectral data are related to canopy parameter. For a given set of forest parameter, the multivariate statistical analysis is applied to show the potential of this tool for both providing a model and supporting an adequate data interpretation.Pages: 1641-164

Transformed images for assessing timber volume change in Pinus spp

The selective timber extraction is an expressive activity in Brazilian Amazonia, but it can not be precisely detected by orbital images. Timber volume can express forest biomass and this is related to Leaf Area Index (LAI). Since LAI can be estimated by transformed orbital images, the objective of this work is to evaluate the sensitivity of vegetation index and fraction images in the detection of timber volume change in Pinus spp. plantations, considering two situations: before and after thinning. Some results were already obtained and have been analyzed for further complete publication.Pages: 1649-165

Estado da arte nas aplicações de sensoriamento remoto para o estudo da vegetação: análise por blocos de países e linhas de pesquisa

The remote sensing tools are developing very fast among the user community, allowing a larger dissemination of applications in the forestry area, which demands constant actualization of the state of the art. In this study a survey was made of papers related mostly to vegetation, published in the main media of scientific dissemination of remote sensing. These articles were classified, according to the professional origin of its' main author, in three blocks (most developed countries - G7; Latin American countries - AL; and other countries - OU), and four research lines (Identification/ Characterization; Classification/ Mapping; Evaluation/ Inventory; and Monitoring/ Management). They were evaluated separately, according to a logical sequence of scientific approach, giving na overview of the level of evolution and methodological proposal, emphasizing the brazilian position as compared to that one of all other user countries.Pages: 1553-156

NEOTROPICAL ALIEN MAMMALS: a data set of occurrence and abundance of alien mammals in the Neotropics

Biological invasion is one of the main threats to native biodiversity. For a species to become invasive, it must be voluntarily or involuntarily introduced by humans into a nonnative habitat. Mammals were among first taxa to be introduced worldwide for game, meat, and labor, yet the number of species introduced in the Neotropics remains unknown. In this data set, we make available occurrence and abundance data on mammal species that (1) transposed a geographical barrier and (2) were voluntarily or involuntarily introduced by humans into the Neotropics. Our data set is composed of 73,738 historical and current georeferenced records on alien mammal species of which around 96% correspond to occurrence data on 77 species belonging to eight orders and 26 families. Data cover 26 continental countries in the Neotropics, ranging from Mexico and its frontier regions (southern Florida and coastal-central Florida in the southeast United States) to Argentina, Paraguay, Chile, and Uruguay, and the 13 countries of Caribbean islands. Our data set also includes neotropical species (e.g., Callithrix sp., Myocastor coypus, Nasua nasua) considered alien in particular areas of Neotropics. The most numerous species in terms of records are from Bos sp. (n = 37,782), Sus scrofa (n = 6,730), and Canis familiaris (n = 10,084); 17 species were represented by only one record (e.g., Syncerus caffer, Cervus timorensis, Cervus unicolor, Canis latrans). Primates have the highest number of species in the data set (n = 20 species), partly because of uncertainties regarding taxonomic identification of the genera Callithrix, which includes the species Callithrix aurita, Callithrix flaviceps, Callithrix geoffroyi, Callithrix jacchus, Callithrix kuhlii, Callithrix penicillata, and their hybrids. This unique data set will be a valuable source of information on invasion risk assessments, biodiversity redistribution and conservation-related research. There are no copyright restrictions. Please cite this data paper when using the data in publications. We also request that researchers and teachers inform us on how they are using the data