ASPECTOS METODOLÓGICOS PARA O PLANEJAMENTO INSTITUCIONAL NA UNIVERSIDADE

O artigo é descreve o processo de construção do Planejamento em uma Universidade Federal, como uma ação progressiva e planejada em equipe. Aborda-se a “Teoria do U” como um conteúdo e componentes importantes para a participação dentro do processo que constrói a sistemática de trabalho. O envolvimento da comunidade em direção a sistemática para a análise do processo é objeto da reflexão. O artigo demonstra como os desafios para um Sistema Nacional de avaliação em razão das praticas e possibilidades do Planejamento. Ressalta-se o trabalho em grupo e as condições sob as quais as atividades podem ser desenvolvidas

Borboletas (Lepidoptera, Papilionoidea) da Coleção Entomológica da Universidade Federal de Rondônia – UFRO-ELEP, Brasil

A coleção Entomológica da Universidade Federal de Rondônia teve início a partir de estudos ambientais desenvolvidos na região nos quais um grande número de material biológico foi coletado e armazenado na coleção. Dentre as cinco ordens mais diversas de insetos, Lepidoptera representa o segundo maior táxon na coleção. O objetivo do estudo foi apresentar uma lista das espécies de borboletas (Papilionoidea) na Coleção Entomológica da Universidade Federal de Rondônia – UFRO-ELEP. Está depositado um total de 4197 exemplares, onde 77,17% (3239) estão determinados em espécie e 22,83% (958) em gênero. Até o momento a coleção é composta por 202 espécies, sendo a família Nymphalidae a que possui maior representatividade, com 90,59% (183) das espécies depositada

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

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

Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others

Analysis of the cephalometric pattern of Brazilian achondroplastic adult subjects

OBJECTIVE: The aim of this study was to assess the position of the cranial base, maxilla, and mandible of Brazilian achondroplastic adult subjects through cephalometric measurements of the cranio-dento-facial complex, and to compare the results to normal patterns established in literature. METHODS: Fourteen achondroplastic adult subjects were evaluated based on their radiographic cephalometric measurements, which were obtained using the tracings proposed by Downs, Steinner, Bjork, Ricketts and McNamara. Statistical comparison of the means was performed with Student's t test. RESULTS: When compared to normal patterns, the cranial base presented a smaller size in both its anterior and posterior portions, the cranial base angle was acute and there was an anterior projection of the porion; the maxilla was found to be smaller in size in both the anteroposterior and transversal directions, it was inclined anteriorly with anterior vertical excess, and retropositioned in relation to the cranial base and to the mandible; the mandible presented a normal-sized ramus, a decreased body and transverse dimension, a tendency towards vertical growth and clockwise rotation, and it was slightly protruded in relation to the cranial base and maxilla. CONCLUSION: Although we observed wide individual variation in some parameters, it was possible to identify significant differences responsible for the phenotypical characteristics of achondroplastic patients.<br>OBJETIVO: avaliar o tamanho e o posicionamento da base do crânio, da maxila e da mandíbula de indivíduos acondroplásicos brasileiros adultos, a partir de medidas cefalométricas do complexo dentoesqueletofacial. Confrontar os dados obtidos aos padrões de normalidade estabelecidos na literatura. MÉTODOS: foram avaliados 14 indivíduos acondroplásicos adultos, utilizando algumas grandezas cefalométricas radiográficas obtidas a partir dos traçados preconizados por Downs, Steinner, Björk, Ricketts e McNamara. Para análise estatística, foi aplicado o teste t de Student na comparação de médias. RESULTADOS: em relação aos padrões de normalidade estabelecidos, a base craniana apresentou dimensões diminuídas, tanto na porção anterior quanto na posterior. O ângulo da base craniana apresentou-se agudo e houve projeção anterior do pório. A maxila apresentou dimensões menores no sentido anteroposterior e transversal, anteroinclinada, excesso vertical anterior e retroposicionada em relação à base do crânio e da mandíbula. A mandíbula apresentou ramos com dimensão normal e redução nas dimensões do corpo e transversal, tendência de crescimento vertical e rotação no sentido horário, discretamente protruída em relação à base do crânio e da maxila. CONCLUSÃO: ainda que tenha sido observada ampla variação individual em alguns dos parâmetros, foi possível identificar diferenças significativas responsáveis pela apresentação fenotípica característica dos pacientes acondroplásicos

Colobothea macularis

127. Colobothea macularis (Olivier, 1797) Material examined. Site 2: 04.xii.2008, MT, Souza DS leg. [2878]. Site 3: 12.vi.2007, Souza DS leg. [2964]. Site 21: 13.vii.2009, Souza DS leg. [2904]. Species diagnosis. Monné & Monné (2010) (in key for Colobothea species).Published as part of Souza, Diego De Santana, Andriolo, Aline, Sepúlveda, Tatiana Alejandra & Silveira, Maria Aurea Pinheiro De Almeida, 2021, Unveiling the diversity of longhorn beetles (Coleoptera, Cerambycidae) in Brazilian western Amazonia: a checklist of the Entomological Collection of the Federal University of Rondônia, Brazil, pp. 201-233 in Zootaxa 4981 (2) on page 221, DOI: 10.11646/zootaxa.4981.2.1, http://zenodo.org/record/491960

Oncideres gutturator

145. Oncideres gutturator (Fabricius, 1775) * (Fig. 49) Material examined. Site 3: 04.vii.2007, Souza DS leg. [3024]. Site 6: iv.2004, LT, Silveira MAPA leg. [2713]. Site 16: 08.viii.2004, LT, Silveira MAPA leg. / Martins UR det., 2008 [2712]. Species diagnosis. Martins (1981b).Published as part of Souza, Diego De Santana, Andriolo, Aline, Sepúlveda, Tatiana Alejandra & Silveira, Maria Aurea Pinheiro De Almeida, 2021, Unveiling the diversity of longhorn beetles (Coleoptera, Cerambycidae) in Brazilian western Amazonia: a checklist of the Entomological Collection of the Federal University of Rondônia, Brazil, pp. 201-233 in Zootaxa 4981 (2) on page 223, DOI: 10.11646/zootaxa.4981.2.1, http://zenodo.org/record/491960