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

Escolha da carreira e processo de construção da identidade profissional docente Career choice and construction of teachers' professional identities

O trabalho teve como objetivo analisar os fatores intervenientes na escolha da profissão, assim como a influência desses elementos na construção da identidade profissional docente. O método foi descritivo, com abordagem quantitativa, baseado em um questionário fechado. A amostra foi de 964 sujeitos e a análise de dados dos questionários foi feita com auxílio do software Sphinx®. Nos resultados, observouse forte influência de ideários sociais nas concepções elaboradas pelos sujeitos sobre a profissão docente e nos fatores declarados para a escolha profissional (concepções de educação ligadas a redenção social; visão idealizada do exercício da docência). Destacam-se, também, os conflitos e a complexidade vivenciada pelos graduandos diante da necessidade de sentirem-se prontos a responder às demandas e exigências da escola, do contexto social e do mercado de trabalho.<br>The objective of the study was to analyse the factors bearing down most strongly upon somebody choosing the teaching profession, as well as the influence of these elements in the formation of a teacher's professional identity. A descriptive method was used with a quantitative approach based on a closedended questionnaire. The sample was composed of 964 subjects and the questionnaire data analysis was performed by the Sphinx® software. The results showed a strong influence of social ideals in the concepts elaborated by the subjects when describing the teaching profession and these social ideals also influenced their choice of the profession (concepts of education linked to social redemption; an idealized vision of the practice of teaching). Also, it points out the conflicts and complexity experienced by the students, given the need to feel ready to meet the demands and requirements of the school, in the social context, and in the context of the labour market