ENERGIA SOLAR FOTOVOLTAICA: UM ESTUDO DE POSSIBILIDADES PARA O MUNICÍPIO DE CONCEIÇÃO DO ARAGUAIA – PA

 RESUMOEste artigo é fruto de reflexões sobre a atual situação energética do Brasil em tempos de incentivos à preservação do meio ambiente. Nesta oportunidade são abordadas as principais características da energia solar fotovoltaica, tal como os estímulos e entraves efetivos no setor. Focalizando o sistema conectado à rede e tendo como campo de estudo o município de Conceição do Araguaia no Estado do Pará, a pesquisa objetivou investigar o conhecimento da população a cerca deste assunto, assim como analisar o interesse dos mesmos na implantação de micro e miniusinas, dada sua contribuição econômica e socioambiental. Para isso, utilizou-se de questionários, estes, aplicados aos moradores da cidade; entrevistas à empresas do ramo e acesso a dados via software, propositando à autenticação de informações bibliográficas inicialmente levantadas. Dentre os resultados, foi de grande relevância a comprovação do alto índice de irradiação solar na região, o que vem coincidir com a notória evolução dessa tecnologia, apoiada entre tudo na ampliação dos mecanismos regulatórios, ambos vigentes e confirmados por técnicos da área. Em contrapartida, grande parte dos residentes desconhece esses avanços, compondo conceitos distorcidos pela qual ainda vê esta alternativa com descredito, cenário oposto ao quadro nacional que opera com grande aprovação. Trata-se, portanto de uma alternativa disponível, mas que precisa de apoio dos órgãos públicos para possibilitar sua integração no município em foco

Diagnosis, Prognosis and Treatment of Canine Cutaneous and Subcutaneous Mast Cell Tumors

Mast cell tumors (MCTs) are hematopoietic neoplasms composed of mast cells. It is highly common in dogs and is extremely important in the veterinary oncology field. It represents the third most common tumor subtype, and is the most common malignant skin tumor in dogs, corresponding to 11% of skin cancer cases. The objective of this critical review was to present the report of the 2nd Consensus meeting on the Diagnosis, Prognosis, and Treatment of Canine Cutaneous and Subcutaneous Mast Cell Tumors, which was organized by the Brazilian Association of Veterinary Oncology (ABROVET) in August 2021. The most recent information on cutaneous and subcutaneous mast cell tumors in dogs is presented and discussed

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

Land use and water quality degradation in the Peixe-Boi River watershed

This study mapped the land use and land cover of the catchment area of the Peixe-Boi River watershed, in northeast Pará, in order to identify conflicts of land use in the permanent preservation areas, and to relate them to water quality. We used LISS-3 sensor imagery from the Resourcesat satellite with a spatial resolution of 23.5 m for supervised classification of land use and land cover based on 22 training samples. Water quality was determined based on 28 sampling points in drainage network. The relationship between human disturbance and water quality was analyzed based on observations of land use changes using satellite imagery and in situ collection of water samples. The results show that 46% of the permanent preservation areas have conflicted uses, especially with respect to urban squatters, exposed soil and, most notably, pasture, with over 84 % of the area in conflict. Critical levels of dissolved oxygen reaching 2.14 mg L-1 and pH of 5.12 were observed in some sampling points. These values are below the fresh water standards set by Resolution 357/05 of CONAMA. The poorest water quality may be related to irregular use and occupation of areas within the permanent preservation areas. There is therefore an urgent need to develop a plan for the sustainable use and occupation of catchment area land in the Peixe-Boi River watershed in order to restore the environment and improve water quality