DA DENEGAÇÃO À CONVERSÃO DA PRISÃO PREVENTIVA EM DOMICILIAR ÀS MÃES: uma análise em atenção aos direitos infantojuvenis e às Regras de Bangkok

   A aplicabilidade da prisão domiciliar para mães e gestantes foi priorizada diante da promulgação das leis de números 13.257/16 e 13.769/2018, tendo esta última acrescido ao Código de Processo Penal as condicionantes à substituição da prisão preventiva por domiciliar às mulheres gestantes ou que forem mães ou responsáveis por crianças ou pessoas com deficiência. No entanto, a despeito da referida inovação, a análise de julgados proferidos pelo Supremo Tribunal Federal (STF) e pelo Superior Tribunal de Justiça (STJ) permite inferir que, constantemente, malgrado o preenchimento das condicionantes previstas em lei, a conversão da prisão preventiva em domiciliar no caso de gestantes e mulheres responsáveis por criança de até 12 (doze) anos incompletos é denegada sob o fundamento da existência de situação excepcionalíssima, exceção não abarcada pela legislação. O presente artigo objetiva, portanto, com base na perspectiva dos direitos infantis e em atenção aos ditames das Regras de Bangkok, analisar e levantar reflexões quanto às decisões denegatórias fundamentadas na “excepcionalidade” e proferidas pelos Tribunais Superiores após o advento da Lei 13.769/18. Para o alcance desse objetivo, buscar-se-á examinar a Doutrina da Proteção Integral; estabelecer um paralelo em relação ao panorama do encarceramento de mães e de seus filhos; e expor o conceito das Regras de Bangkok e a sua influência nas evoluções legislativas acerca da matéria, que igualmente serão objeto de análise. A metodologia a ser utilizada será a hipotético-dedutiva, com utilização de recursos bibliográficos e documentais, além da análise do posicionamento dos Tribunais.  

SPACE-TEMPORAL DYNAMICS OF ENDEMIC TREE SPECIES IN SECONDARY FOREST IN THE ATLANTIC FOREST DOMAIN IN BRAZIL

ABSTRACT Understanding the dynamics of endemic tree component species based on natural regeneration (NR) and adult trees (AT) is essential for formulating conservation strategies for protecting these species. The objective of the present study was to identify endemic species in a preserved area of secondary forest in the Atlantic Forest domain in Brazil and to evaluate their dynamics over 24 years. Based on inventories carried out from 1992 to 2016 of the NR (diameter at breast height - dbh ≤ 5 cm) and of the AT (dbh ≥ 5 cm) in ten sites with different characteristics (physiographic, edaphic, and successional), it was possible to, initially, identify 58 species classified as endemic to Brazil (EBR) and/or those exclusive to the Brazilian Atlantic Forest (EAF), among the 226 species in the entire survey. Subsequently, this classification was reassessed based on updated information on its occurrence, and only 38 of these species were maintained as endemic to Brazil and/or to the Atlantic Forest. Some species were recorded in the AT and NR strata, in different sites, throughout the study period, while others occurred in only one level (AT or NR), some with low abundance. Among these endemic species, eight are included in the endangered species lists, and 15 can be classified as rare, as there was only one individual in the survey. Considering the two arboreal strata it was observed that some species were abundant in the forest in all inventories and several sites, while others went throughout the study period with few individuals and, in some cases, disappeared due to mortality. These results contribute to understanding the factors that can affect the local abundance of endemic species over time, allowing the definition of conservation actions for protecting these vulnerable species, thus avoiding their extinction

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

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

Origin and dynamics of admixture in Brazilians and its effect on the pattern of deleterious mutations.

While South Americans are underrepresented in human genomic diversity studies, Brazil has been a classical model for population genetics studies on admixture. We present the results of the EPIGEN Brazil Initiative, the most comprehensive up-to-date genomic analysis of any Latin-American population. A population-based genome-wide analysis of 6,487 individuals was performed in the context of worldwide genomic diversity to elucidate how ancestry, kinship, and inbreeding interact in three populations with different histories from the Northeast (African ancestry: 50%), Southeast, and South (both with European ancestry >70%) of Brazil. We showed that ancestry-positive assortative mating permeated Brazilian history. We traced European ancestry in the Southeast/South to a wider European/Middle Eastern region with respect to the Northeast, where ancestry seems restricted to Iberia. By developing an approximate Bayesian computation framework, we infer more recent European immigration to the Southeast/South than to the Northeast. Also, the observed low Native-American ancestry (6-8%) was mostly introduced in different regions of Brazil soon after the European Conquest. We broadened our understanding of the African diaspora, the major destination of which was Brazil, by revealing that Brazilians display two within-Africa ancestry components: one associated with non-Bantu/western Africans (more evident in the Northeast and African Americans) and one associated with Bantu/eastern Africans (more present in the Southeast/South). Furthermore, the whole-genome analysis of 30 individuals (42-fold deep coverage) shows that continental admixture rather than local post-Columbian history is the main and complex determinant of the individual amount of deleterious genotypes

Seminário de Dissertação (2024)

Página da disciplina de Seminário de Dissertação (MPPP, UFPE, 2022) Lista de participantes == https://docs.google.com/spreadsheets/d/1mrULe1y04yPxHUBaF50jhaM1OY8QYJ3zva4N4yvm198/edit#gid=