Risk Management Clauses In Tender Contracts For Passenger Transport Operations: The Case Of Manaus, Brazil

Institute of Transport and Logistics Studies. Faculty of Economics and Business. The University of Sydne

Risk Management Clauses In Tender Contracts For Passenger Transport Operations: The Case Of Manaus, Brazil

Institute of Transport and Logistics Studies. Faculty of Economics and Business. The University of Sydne

Performance and Consistency of Indicator Groups in Two Biodiversity Hotspots

In a world limited by data availability and limited funds for conservation, scientists and practitioners must use indicator groups to define spatial conservation priorities. Several studies have evaluated the effectiveness of indicator groups, but still little is known about the consistency in performance of these groups in different regions, which would allow their a priori selection.We systematically examined the effectiveness and the consistency of nine indicator groups in representing mammal species in two top-ranked Biodiversity Hotspots (BH): the Brazilian Cerrado and the Atlantic Forest. To test for group effectiveness we first found the best sets of sites able to maximize the representation of each indicator group in the BH and then calculated the average representation of different target species by the indicator groups in the BH. We considered consistent indicator groups whose representation of target species was not statistically different between BH. We called effective those groups that outperformed the target-species representation achieved by random sets of species. Effective indicator groups required the selection of less than 2% of the BH area for representing target species. Restricted-range species were the most effective indicators for the representation of all mammal diversity as well as target species. It was also the only group with high consistency.We show that several indicator groups could be applied as shortcuts for representing mammal species in the Cerrado and the Atlantic Forest to develop conservation plans, however, only restricted-range species consistently held as the most effective indicator group for such a task. This group is of particular importance in conservation planning as it captures high diversity of endemic and endangered species

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

Urbs e civitas: a formação dos espaços e territórios urbanos nas minas setecentistas

O presente artigo procura situar a evolução das abordagens acerca da cidade colonial mineira dentro da perspectiva mais ampla dos estudos sobre o urbanismo colonial português. A análise privilegia os trabalhos que, em vez de se aterem aos aspectos ligados à estética urbana, procuraram relacioná-los às questões fundiárias e à constituição das redes e hierarquias urbanas.This article seeks to situate the evolution of approaches to the study of the colonial towns of Minas Gerais placing them in the broader perspective of studies on the Portuguese colonial urbanism. Instead of restricting our approach to questions of urban aesthetics, the analysis focuses on the works that tried to relate these questions to aspects of land ownership and to the establishment of networks and urban hierarchies

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

O uso de grupos indicadores como atalho para a conservação da biodiversidade

Diante da atual crise da biodiversidade, exercícios que identificam grupos indicadores capazes de representar a diversidade como um todo tornaram-se imprescindíveis para a proposição de estratégias eficazes de conservação. Tais grupos ajudam a direcionar ações, reduzindo o tempo para as tomadas de decisão. Independentemente do grupo indicador utilizado, todas as estratégias de conservação atuais assentam-se sobre o arcabouço conceitual do planejamento sistemático da conservação, em que as seleções de áreas a serem conservadas devem obedecer ao critério da complementaridade. Ademais, as estratégias atuais devem levar em conta diferentes aspectos da biodiversidade (como diversidade funcional), além da riqueza de espécies. Neste artigo, revisamos e discutimos as diferentes aplicações do uso de grupos indicadores como atalho para a proposição de planos integrados de conservação. Apresentamos, ainda, sugestões práticas para a aplicação de grupos indicadores com vistas à conservação de diferentes aspectos da biodiversidade. Sustentado pelo conhecimento teórico, o uso de grupos indicadores fornece uma base científica fundamental para as tomadas de decisão no que concerne ao direcionamento de esforços para o estabelecimento de áreas visando a conservação da biodiversidade

The efficiency of indicator groups for the conservation of amphibians in the Brazilian Atlantic Forest

The adequate selection of indicator groups of biodiversity is an important aspect of the systematic conservation planning. However, these assessments differ in the spatial scale, in the methods used and in the groups considered to accomplish this task, which generally produces contradictory results. The quantification of the spatial congruence between species richness and complementarity among different taxonomic groups is a fundamental step to identify potential indicator groups. Using a constructive approach, the main purposes of this study were to evaluate the performance and efficiency of eight potential indicator groups representing amphibian diversity in the Brazilian Atlantic Forest. Data on the geographic range of amphibian species that occur in the Brazilian Atlantic Forest was overlapped to the full geographic extent of the biome, which was divided into a regular equal-area grid. Optimization routines based on the concept of complementarily were applied to verify the performance of each indicator group selected in relation to the representativeness of the amphibians in the Brazilian Atlantic Forest as a whole, which were solved by the algorithm"simulated annealing", through the use of the software MARXAN. Some indicator groups were substantially more effective than others in regards to the representation of the taxonomic groups assessed, which was confirmed by the high significance of data (F = 312.76; p < 0.01). Leiuperidae was considered as the best indicator group among the families analyzed, as it showed a good performance, representing 71% of amphibian species in the Brazilian Atlantic Forest (i.e. 290 species), which may be associated with the diffuse geographic distribution of its species. This study promotes understanding of how the diversity standards of amphibians can be informative for systematic conservation planning on a regional scale