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

The financial impacts of carry overs in the budgetary and financial implementation of the IFES of the Central-West region in the period 2008 to 2016

Submitted by JÚLIO HEBER SILVA ([email protected]) on 2018-06-11T19:53:05Z No. of bitstreams: 2 Dissertação - Cássia Cardoso de Carvalho Vasconcelos - 2018.pdf: 1013495 bytes, checksum: 354b152bc79c9682f78ed5fbe130c19e (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)Rejected by Luciana Ferreira ([email protected]), reason: Olhei nas dissertações que já foram inseridas para checar a citação, veja como deve ser: Ex.: Dissertação (Mestrado em Administração Pública em Rede Nacional) - on 2018-06-12T12:17:16Z (GMT)Submitted by JÚLIO HEBER SILVA ([email protected]) on 2018-06-12T16:49:51Z No. of bitstreams: 2 Dissertação - Cássia Cardoso de Carvalho Vasconcelos - 2018.pdf: 1013495 bytes, checksum: 354b152bc79c9682f78ed5fbe130c19e (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)Approved for entry into archive by Luciana Ferreira ([email protected]) on 2018-06-13T10:41:33Z (GMT) No. of bitstreams: 2 Dissertação - Cássia Cardoso de Carvalho Vasconcelos - 2018.pdf: 1013495 bytes, checksum: 354b152bc79c9682f78ed5fbe130c19e (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)Made available in DSpace on 2018-06-13T10:41:33Z (GMT). No. of bitstreams: 2 Dissertação - Cássia Cardoso de Carvalho Vasconcelos - 2018.pdf: 1013495 bytes, checksum: 354b152bc79c9682f78ed5fbe130c19e (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2018-06-08The object of study of this research is expenses classified as carryovers, which are part of the public budget, and they are a challenge for public managers. The objective of the research is to propose a control instrument applicable to the budgetary and financial execution of an IFES, considering the legislation applicable to the public budget, that assists the manager in controlling and reducing the effects of expenses classified as carryovers. Descriptive analysis and application of Pearson's correlation index were carried out on data taken from the Federal Government's Portal, referring to the five universities in the Center-West region between 2008 and 2016. It is concluded that: carryovers are present in all universities evaluated; on average, more than a quarter of the budget started is not finalized in the same year; unprocessed leftovers account for more than 90% of the total unpaid debts of universities. Furthermore, it is found that: there is a moderate negative correlation to budget execution and unbundling of UNB; there is a moderate positive correlation between the remainders to be paid and the financial execution of the budget in the UFGD and the UNB, and negative correlation in the UFG. The intervention proposal has two stages: the first one is the collection of information on the budgetary and financial situation of IFES, through a control sheet, and the second step is the application of the GUT matrix in the budget balances of the carryovers, to prioritize the closure of such expenses.O objeto desta pesquisa são as despesas classificadas como restos a pagar, que fazem parte da execução do orçamento público, e se apresentam como um desafio para os gestores públicos. O objetivo da pesquisa é propor um instrumento de controle aplicável à execução orçamentária e financeira de uma IFES, considerando a legislação aplicável ao orçamento público, que auxilie o gestor no controle e na redução dos efeitos das despesas classificadas como restos a pagar. Por meio da análise descritiva e aplicação do índice de correlação de Pearson de dados retirados do Portal Siga Brasil referentes às cinco universidades da região Centro-Oeste, entre os anos de 2008 e 2016, conclui-se que: os restos a pagar estão presentes em todas as universidades avaliadas; em média, mais de um quarto do orçamento iniciado não é finalizado no mesmo exercício; os restos a pagar não processados representam, em média, mais de 90% dos restos a pagar total das universidades, e constatou-se que: há correlação moderada negativa em relação à execução orçamentária e inscrição de restos a pagar na UNB; há correlação moderada positiva entre os restos a pagar e a execução financeira do orçamento na UFGD e na UNB, e correlação negativa na UFG. Apresenta-se a proposta de intervenção por meio de duas etapas: a primeira é o levantamento das informações a respeito da situação orçamentária e financeira da IFES, através de uma planilha de controle, e a segunda etapa é a aplicação da matriz GUT nos saldos orçamentários dos restos a pagar, para priorização de encerramento de tais despesas

Polarização e desenvolvimento regional: o caso dos polos de Aparecida de Goiânia - Goiás

O presente artigo tem por objetivo analisar o comportamento dos indicadores socioeconômicos, financeiros e econômicos da cidade de Aparecida de Goiânia ao longo dos últimos anos, e buscar entender se a criação dos quatro polos empresariais que foram implementados na região ofereceu subsídios para que fosse possível o aumento no valor dos indicadores de crescimento da mesma. Por meio de um levantamento bibliográfico e documental, foram avaliados os dados disponíveis no Instituto Mauro Borges, a fim de levantar informações que dessem embasamento para expor a situação do município. Foi constatado que a região cresceu significativamente e teve melhora em alguns indicadores sociais, aumentando inclusive o seu IDH-M, mas não foi possível identificar se tal crescimento e melhoria de indicadores se deu exclusivamente por causa da criação dos polos

Characterisation of microbial attack on archaeological bone

As part of an EU funded project to investigate the factors influencing bone preservation in the archaeological record, more than 250 bones from 41 archaeological sites in five countries spanning four climatic regions were studied for diagenetic alteration. Sites were selected to cover a range of environmental conditions and archaeological contexts. Microscopic and physical (mercury intrusion porosimetry) analyses of these bones revealed that the majority (68%) had suffered microbial attack. Furthermore, significant differences were found between animal and human bone in both the state of preservation and the type of microbial attack present. These differences in preservation might result from differences in early taphonomy of the bones. © 2003 Elsevier Science Ltd. All rights reserved