Educação ambiental e Geografia: uma contribuição à sociedade em via de possíveis mudanças

A sociedade moderna é consumista, mas não alheia às transformações oriundas da globalização e trouxe impactos principalmente ao meio ambiente. Fato este que despertou a sociedade para um possível processo de transição, tornando-a mais consciente de seu papel na coletividade. Isso implica mudança de atitude e de comportamento que podem ser adquiridas com a inserção da Educação Ambiental nas escolas e no cotidiano da população. O que despertou o interesse por este trabalho que tem como objetivo analisar a importância e contribuição da Educação na compreensão da dinâmica sociedade e natureza e sua responsabilidade diante dos atuais problemas ambientais. O procedimento metodológico se deu por pesquisa bibliográfi ca. Neste sentido a Educação Ambiental deve ser implantada como processo educativo e integrada a disciplina de Geografi a que seria um instrumento fundamental para orientar as ações futuras a respeito do Meio Ambiente e sua manutenção. Este deverá ser planejado de forma operacional, almejando novas oportunidades de desenvolvimento sustentável. A partir do estudo realizado é possível inferir que a Geografi a e a Educação Ambiental são apenas possibilidades de acertos e erros, mas, sempre deixando sua contribuição para a construção de conhecimentos e posteriores planejamentos, com vistas a uma nova ética sócio-ambiental

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

Núcleos de Ensino da Unesp: artigos 2008

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq