O Curso de Pedagogia: aspectos do perfil dos alunos da área de aprofundamento em Educação do Campo

When we reach the Pedagogy Course in Rural Education in deepening area in 2011, we thought we'd find people over 30 years with children, peasants, or who have difficulties in school access. However, we are faced with young students without children, and live mostly in the city. This created the desire in us we verify that the profile of the students of the course. I spend one to ask: Who are the students of the School of Education to Rural Education in deepening area? What reasons made them enroll in the Course? That was the problem that moved us to do this work. We follow the logic of exploratory research, as clarified by Gil (1999). We studied the movements of peasants who marked the Paraiba, since the 1950s; the Pedagogy Course with PPP Deepening Area in Rural Education; in addition to the analysis of data collected in the field research, mediated by a questionnaire to students on their profiles and the reasons that brought them to the course. We found that the course on screen in their roles, shows a concern with the issues that justify the Deepening area in the field issues. But contradictorily, students who are part of it do not have identities with the issues of the field and not get involved in peasant movements. A reflection of an urban course, with a little appropriate to the curriculum field. Lack a proper policy for Vocational Education with Deepening Area in Rural Education. What characterizes the course as urban centric.Ao chegarmos ao Curso de Pedagogia com área de aprofundamento em Educação do Campo, em 2011, imaginávamos que iríamos encontrar pessoas com mais de 30 anos, com filhos, camponeses, ou que tiveram dificuldades de acesso escolar. No entanto, deparamo-nos com alunos jovens, sem filhos, e que moram, em sua maioria, na cidade. Isso criou o desejo em nós de verificarmos qual o perfil dos alunos do Curso. Passamo-nos a perguntar: Quem são os alunos do Curso de Pedagogia com área de aprofundamento em Educação do Campo? Quais razões as fizeram se matricular no Curso? Esse foi o problema que nos moveu a fazer este trabalho. Seguimos a lógica da pesquisa exploratória, conforme esclarecido por Gil (1999). Estudamos os movimentos de camponeses que marcaram a Paraíba, desde os anos de 1950; o PPP do Curso de Pedagogia com Área de Aprofundamento em Educação do Campo; além da análise dos dados coletados na pesquisa de campo, mediada por um questionário aplicado aos estudantes sobre seus perfis e as razões que os trouxeram ao Curso. Verificamos que o Curso em tela, em seus papéis, demonstra uma preocupação com as questões que justificam a Área de Aprofundamento em questões do Campo. Porém, contraditoriamente, os alunos que dele fazem parte não apresentam identidades com as questões do campo e nem se envolvem com movimentos camponeses. Um reflexo de um curso urbano, com um currículo pouco apropriado ao Campo. Falta uma política própria para o Curso Pedagogia com Área de Aprofundamento em Educação do Campo. O que caracteriza o Curso como urbanocêntrico

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

NEOTROPICAL CARNIVORES: a data set on carnivore distribution in the Neotropics

Mammalian carnivores are considered a key group in maintaining ecological health and can indicate potential ecological integrity in landscapes where they occur. Carnivores also hold high conservation value and their habitat requirements can guide management and conservation plans. The order Carnivora has 84 species from 8 families in the Neotropical region: Canidae; Felidae; Mephitidae; Mustelidae; Otariidae; Phocidae; Procyonidae; and Ursidae. Herein, we include published and unpublished data on native terrestrial Neotropical carnivores (Canidae; Felidae; Mephitidae; Mustelidae; Procyonidae; and Ursidae). NEOTROPICAL CARNIVORES is a publicly available data set that includes 99,605 data entries from 35,511 unique georeferenced coordinates. Detection/non-detection and quantitative data were obtained from 1818 to 2018 by researchers, governmental agencies, non-governmental organizations, and private consultants. Data were collected using several methods including camera trapping, museum collections, roadkill, line transect, and opportunistic records. Literature (peer-reviewed and grey literature) from Portuguese, Spanish and English were incorporated in this compilation. Most of the data set consists of detection data entries (n = 79,343; 79.7%) but also includes non-detection data (n = 20,262; 20.3%). Of those, 43.3% also include count data (n = 43,151). The information available in NEOTROPICAL CARNIVORES will contribute to macroecological, ecological, and conservation questions in multiple spatio-temporal perspectives. As carnivores play key roles in trophic interactions, a better understanding of their distribution and habitat requirements are essential to establish conservation management plans and safeguard the future ecological health of Neotropical ecosystems. Our data paper, combined with other large-scale data sets, has great potential to clarify species distribution and related ecological processes within the Neotropics. There are no copyright restrictions and no restriction for using data from this data paper, as long as the data paper is cited as the source of the information used. We also request that users inform us of how they intend to use the data