POLÍTICAS INSTITUCIONAIS E A INFLUÊNCIA NA FORMAÇÃO ACADÊMICA: UM ESTUDO DE CASO EM INSTITUIÇÃO SUPERIOR NO CURSO DE CIÊNCIAS CONTÁBEIS EM RONDÔNIA

O presente estudo tem como objetivo analisar e identificar as variáveis do plano político pedagógico e matriz curricular do curso de Ciências Contábeis na instituição superior Faculdade de Educação e Meio Ambiente –Faema, localizada na cidade de Ariquemes. A técnica utilizada foi análise documental por meio do conteúdo do projeto pedagógico da Faculdade FAEMA, desenvolvida em várias etapas. Foi analisado o projeto pedagógico da Faculdade de Educação e Meio Ambiente (FAEMA). Desta forma, a análise foi realizada com base nas diretrizes da Resolução CNE/CES n. 10/04 em relação ao conteúdo do Plano Pedagógico da FAEMA. Neste sentido, foram analisados a forma de perfil e formação pretendida ao graduado, estrutura curricular do curso, envolvendo carga horária, conteúdo oferecidos e disciplinas que esbocem conteúdo que envolva tecnologia, inovação e sustentabilidade. Os resultados apontam que a FAEMA tem carga horaria 980 horas de formação básica, 1240 de formação profissional e 780 formação teórico-prática, totalizando 3000 horas-aulas. No item da categorização que envolva Inovação nos conteúdos programáticos dos planos pedagógicos em análise, constatamos as disciplinas de Contabilidade Agropecuária, Agronegócios: aspectos tributários e contábeis e Constituição e Tributação das cooperativas

SUSTENTABILIDADE NAS INSTITUIÇÕES DE ENSINO SUPERIOR: UM ESTUDO NO MUNICÍPIO DE CACOAL - RO

O objetivo desta pesquisa consiste em apontar quais os procedimentos das Instituições de Ensino Superior do município de Cacoal- RO que denotam as ações praticadas no âmbito da Sustentabilidade, haja vista a necessidade de se conhecer as práticas sustentáveis e o incentivo ao desenvolvimento sustentável nas referidas instituições,uma vez que estas fomentam a economia local, geram forte movimentação financeira na cidade e contribuem para a formação de futuros profissionais. Realizou-se uma pesquisa exploratória descritiva, com abordagem qualitativa por meio do método dedutivo, mediante adoção de procedimentos de pesquisa bibliográfica, de campo e documental. A técnica de pesquisa empregada foi a de entrevistas com apoio de formulário pré-elaborado, com gestores de instituições de ensino superior presenciais do município de Cacoal, uma vez que são responsáveis por controlar, organizar e alocar os recursos, além de solucionar possíveis problemas de conformidade das mesmas. Os dados foram verificados, interpretados e confrontados, utilizando-se figuras com o auxílio de recursos do Microsoft Word

PERSPECTIVAS E INCERTEZAS DE UM PROGRAMA LATO SENSU MODALIDADE À DISTÂNCIA EM UMA UNIVERSIDADE DA AMAZÔNIA BRASILEIRA

Os programas de pós-graduação à distância ultrapassam os limites da formação acadêmica, restrita a obtenção de um título. Os desafios e a superação ocorrem, não apenas na busca por qualificação, por plano de carreira e a política de remuneração, mas, pela distância física dos grandes centros de ensino. A grande proposta é suplantar as fronteiras do saber, em locais onde há imensa biodiversidade, em contraponto com o isolamento geográfico. O objetivo do estudo consiste em apresentar os desafios e perspectivas do programa de pós-graduação lato sensu em uma Universidade da Amazônia brasileira, no curso de Gestão Pública Municipal no estado de Rondônia. A metodologia utilizada foi a de revisão, pois busca descrever, analisar e discutir conhecimentos científicos e tecnológicos já publicados. A revisão é de Base e, espera-se que sirva de apoio para as pesquisas científicas e, também, como suporte de referencial teórico. O curso apresentou como resultados trabalhos voltados para o melhor desempenho da Gestão dos Municípios de Rondônia. Os trabalhos de pesquisa desenvolvidos pelos alunos representam uma realidade local diagnosticada com busca de soluções gerencialmente planejadas

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

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