Qualidade ambiental do vazadouro a céu aberto de Castanhal-PA / Environmental quality of the empty sky of Castanhal-PA

A taxa incontrolada do aumento de lixo que ocasionam problemas tanto a saúde ambiental por contaminar o solo, a atmosfera e as águas, quanto à saúde humana por haver proliferação de agentes patogênicos transmissores de doenças. Neste contexto elaborou-se esta pesquisa no município de Castanhal-PA, com objetivo de identificar os problemas a qualidade ambiental oriundos da disposição inadequada dos resíduos sólidos e efetuar um levantamento dos principais resíduos sólidos descartados passíveis de reciclagem. A pesquisa realizada baseou-se na abordagem qualitativa. Quanto ao método, ele foi hipotético-dedutivo, com isso a pesquisa torna-se observativa, sistemática, direta, com caráter exploratório. Foi realizada a aplicação de entrevistas semiestruturadas referente ao tema e sucessiva descrição, acompanhada de uma posterior análise dos dados coletados com os principais responsáveis públicos que tratam dos resíduos sólidos do município de Castanhal-PA. Os dados obtidos indicaram que a poluição do solo é principalmente pela falta de gerenciamento adequado dos resíduos e rejeitos, que altera as características naturais do meio. Em relação a qualidade da água, a infiltração contaminada pelo solo, foi um dos problemas mais notório no lixão, o que compromete as águas superficiais e subterrâneas com poluentes agressivos ao meio ambiente como: os metais pesados, óleos, graxas, sulfetos, fenóis, cianetos, fluoretos, produtos químicos e orgânicos em gerais além de servirem como meios de reprodução para diversos agentes transmissores de doenças como a dengue. Outra forma de poluição oriunda da má gestão dada aos resíduos sólidos é a contaminação do ar, principalmente por meio de gases nocivos a atmosfera. Os dados obtidos indicaram que o Palet, papeis e papelões estão entre os materiais mais descartados no lixão do município de Castanhal-PA e apresentam características passíveis de reciclagem/reutilização. A partir desta pesquisa foi possível concluir que há uma falta de preocupação da prefeitura sobre os problemas existentes e a falta de conhecimento do local, da quantidade e variedade de lixo depositado diariamente. Em consequência disso, são inevitáveis os problemas a qualidade ambiental, que compromete principalmente o solo, a água e o ar. Além disso, a comunidade que mora próximo ao lixão e os catadores sofrem com os problemas a qualidade ambiental que são perceptíveis desde a entrada do local de depósito de resíduos

Influence Of The Conditioning Factors Of Cardiac Transplant Patients To The Self-Care Engagement Profile

Background: This study aimed to identify the conditioning factors that influence the self-care practice of heart transplant patient after discharge and relate the conditioning factors to the Engagement Profile of Self Care. Methods: Cross-sectional study, undertaken at a transplantation unit of one public hospital, in Fortaleza-Ceará. There was the participation of 63 heart transplant patients. Results: The majority of the patients were men (88.9%), aged 40-59 years (68.3%), catholic (81.0%), married (77.8%), elementary school (71, 4%), retired or not working (82.5%); income below minimum wage (47, 6%); diagnosis to transplantation was chagasic cardiomyopathy (28.6%), post-transplant time between one and three years (39.7%). The determinant for self-care had significant difference (p<0.05) was the time of transplantation, because patients who have higher scores on Engagement Profile Self-Care had performed transplantation between 3 and 5 years. Conclusion: The professional team of heart transplant should consider the conditioning factors of patients transplanted cardiac in establishing strategies for promoting self-care

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

Geography and ecology shape the phylogenetic composition of Amazonian tree communities

Aim: Amazonia hosts more tree species from numerous evolutionary lineages, both young and ancient, than any other biogeographic region. Previous studies have shown that tree lineages colonized multiple edaphic environments and dispersed widely across Amazonia, leading to a hypothesis, which we test, that lineages should not be strongly associated with either geographic regions or edaphic forest types. Location: Amazonia. Taxon: Angiosperms (Magnoliids; Monocots; Eudicots). Methods: Data for the abundance of 5082 tree species in 1989 plots were combined with a mega-phylogeny. We applied evolutionary ordination to assess how phylogenetic composition varies across Amazonia. We used variation partitioning and Moran\u27s eigenvector maps (MEM) to test and quantify the separate and joint contributions of spatial and environmental variables to explain the phylogenetic composition of plots. We tested the indicator value of lineages for geographic regions and edaphic forest types and mapped associations onto the phylogeny. Results: In the terra firme and várzea forest types, the phylogenetic composition varies by geographic region, but the igapó and white-sand forest types retain a unique evolutionary signature regardless of region. Overall, we find that soil chemistry, climate and topography explain 24% of the variation in phylogenetic composition, with 79% of that variation being spatially structured (R$^{2}$ = 19% overall for combined spatial/environmental effects). The phylogenetic composition also shows substantial spatial patterns not related to the environmental variables we quantified (R$^{2}$ = 28%). A greater number of lineages were significant indicators of geographic regions than forest types. Main Conclusion: Numerous tree lineages, including some ancient ones (>66 Ma), show strong associations with geographic regions and edaphic forest types of Amazonia. This shows that specialization in specific edaphic environments has played a long-standing role in the evolutionary assembly of Amazonian forests. Furthermore, many lineages, even those that have dispersed across Amazonia, dominate within a specific region, likely because of phylogenetically conserved niches for environmental conditions that are prevalent within regions

Geographic patterns of tree dispersal modes in Amazonia and their ecological correlates

Aim: To investigate the geographic patterns and ecological correlates in the geographic distribution of the most common tree dispersal modes in Amazonia (endozoochory, synzoochory, anemochory and hydrochory). We examined if the proportional abundance of these dispersal modes could be explained by the availability of dispersal agents (disperser-availability hypothesis) and/or the availability of resources for constructing zoochorous fruits (resource-availability hypothesis). Time period: Tree-inventory plots established between 1934 and 2019. Major taxa studied: Trees with a diameter at breast height (DBH) ≥ 9.55 cm. Location: Amazonia, here defined as the lowland rain forests of the Amazon River basin and the Guiana Shield. Methods: We assigned dispersal modes to a total of 5433 species and morphospecies within 1877 tree-inventory plots across terra-firme, seasonally flooded, and permanently flooded forests. We investigated geographic patterns in the proportional abundance of dispersal modes. We performed an abundance-weighted mean pairwise distance (MPD) test and fit generalized linear models (GLMs) to explain the geographic distribution of dispersal modes. Results: Anemochory was significantly, positively associated with mean annual wind speed, and hydrochory was significantly higher in flooded forests. Dispersal modes did not consistently show significant associations with the availability of resources for constructing zoochorous fruits. A lower dissimilarity in dispersal modes, resulting from a higher dominance of endozoochory, occurred in terra-firme forests (excluding podzols) compared to flooded forests. Main conclusions: The disperser-availability hypothesis was well supported for abiotic dispersal modes (anemochory and hydrochory). The availability of resources for constructing zoochorous fruits seems an unlikely explanation for the distribution of dispersal modes in Amazonia. The association between frugivores and the proportional abundance of zoochory requires further research, as tree recruitment not only depends on dispersal vectors but also on conditions that favour or limit seedling recruitment across forest types

Mapping density, diversity and species-richness of the Amazon tree flora

Using 2.046 botanically-inventoried tree plots across the largest tropical forest on Earth, we mapped tree species-diversity and tree species-richness at 0.1-degree resolution, and investigated drivers for diversity and richness. Using only location, stratified by forest type, as predictor, our spatial model, to the best of our knowledge, provides the most accurate map of tree diversity in Amazonia to date, explaining approximately 70% of the tree diversity and species-richness. Large soil-forest combinations determine a significant percentage of the variation in tree species-richness and tree alpha-diversity in Amazonian forest-plots. We suggest that the size and fragmentation of these systems drive their large-scale diversity patterns and hence local diversity. A model not using location but cumulative water deficit, tree density, and temperature seasonality explains 47% of the tree species-richness in the terra-firme forest in Amazonia. Over large areas across Amazonia, residuals of this relationship are small and poorly spatially structured, suggesting that much of the residual variation may be local. The Guyana Shield area has consistently negative residuals, showing that this area has lower tree species-richness than expected by our models. We provide extensive plot meta-data, including tree density, tree alpha-diversity and tree species-richness results and gridded maps at 0.1-degree resolution