Identificação de Problemas e Propostas para Melhoria

authorsversionepub_ahead_of_prin

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

Análise crítica do discurso da Estratégia Nacional de Investigação e Inovação para uma Especialização Inteligente de Portugal 2014-2020

The article presents a critical discourse analysis (CDA) applied to the National Research and Innovation Strategy for an Intelligent Specialization of Portugal 2014-2020 (NSIE). The purpose is to interpret the representations about scientific and technological knowledge underpinning the NSIE as well as the relationship between these representations and the paradigm of development promoted by the policy paper and its correspondence with the representations of nature, society and education. The work is based on the world-systems analysis as a theoretical perspective that allows the articulation between the discursive dimension and the normative critique, as well as to identify the presence of a linear conception of development consistent with the idea of catching up; the representation of people, nature and culture as resources as well as a notion of scientific knowledge as a continuum of experimentation, discovery and commercialization. Finally, it allowed us to recognize in the NSIE a self-representation of Portugal compatible with the theoretical category of semi-periphery