Cadeia produtiva da piscicultura no estado do Maranhão

A piscicultura é uma solução para várias problemáticas. A prática de produção de peixes como um complemento para o abastecimento de alimento para as pessoas está sendo utilizada há centenas de anos com o seu desenvolvimento gradativo. Do ponto de vista dos procedimentos técnicos adotados, pode-se classificar a pesquisa como bibliográfica documental com o levantamento de dados em fontes primárias e secundárias. A pesquisa teve como objetivo apresentar as pisciculturas do Estado do Maranhão, e gerar informações que possam servir de subsídio para implementação de ações. Coletou-se os dados na Agência Estadual de Pesquisa Agropecuária e Extensão Rural do Maranhão (AGERP) e Agência Estadual de Defesa Agropecuária do Maranhão (AGED). Dentre as espécies cultivadas no estado do Maranhão, oito são espécies nativas, como tambaqui, pirarucu, piraíba, pirarara, pacu, dourado, surubim e tucunaré. A espécie que se destacou na produção foi o Tambaqui Colossomamacropomum. De acordo com os resultados da pesquisa. Em relação as cidades que exportam peixes do Maranhão, 32% do efetivo é originário de Senador La Rocque. Quanto a finalidade do peixe, 1%, são destinados para o abate, 18% são destinados a feiras locais e atravessadores que vendem peixes de porta em porta, 81% dos peixes são enviados para outros estados para cria e engorda. Com isso mantendo a diversidade socioambiental das cidades produtoras de peixe do Maranhão.A piscicultura é uma solução para o problema da falta de recursos naturais e de alimentos. A prática da piscicultura como complemento do abastecimento alimentar às pessoas tem sido aplicada há anos com o seu desenvolvimento gradual e pela necessidade básica de alimentação. Faça ponto de vista dos procedimentos técnicos adotados, é possível classificar uma pesquisa como uma bibliografia documental com coleta de dados em fontes primárias e secundárias. Os dados foram coletados na Agência Estadual de Pesquisa e Extensão Agropecuária do Maranhão (AGERP) e Agência Estadual de Defesa Agropecuária do Maranhão (AGED). Entre as espécies cultivadas no estado do Maranhão, oito são espécies nativas, como tambaqui, pirarucu, piraíba, pirarara, pacu, dourado, surubim e tucunaré.A espécie que mais se destacou na produção foi o Tambaqui Colossoma macropomum . De acordo com os resultados da pesquisa, 71% dos peixes enviados para outros estados abastecem o Pará. Em relação às cidades que exportam pescado do Maranhão, 32% da população é de Senador La Rocque. Isso garante o desejo da comunidade em atender ao manejo dos recursos naturais e, consequentemente, à reprodução cultural, mantendo uma diversidade socioambiental dos municípios maranhenses dos produtores de peixes.

Occupational group, educational level, marital status and deleterious habits among individuals with maxillofacial fractures : retrospective study

To investigate the occupational profile, educational level, marital status and deleterious habits to the health of patients with maxillofacial fractures of a population of northeastern Brazil. A retrospective study of patients records admitted to the Division of Oral and Maxillofacial Surgery at the Walter Cantídio University Hospital (Fortaleza, Brazil) who sustained maxillofacial fractures was conducted in the period between 2006 and 2015. A total of 338 patients rendered 355 fractures. Males were the most affected (p<0.001), with prevalence in the third decade of life (p<0.001). There was a predominance of motorcycle accidents (p<0.001), home workers (p<0.001), low educational status (p = 0.032), and no cigarette use (p<0.001) or alcohol (p = 0.023). Fractures of the zygomatic-orbital complex were the most prevalent in the sample (p<0.001). The sociodemographic profile exerted a significant influence on the epidemiological profile of maxillofacial fractures in a Brazilian population during the study period

Maxillofacial and dental-related injuries from a Brazilian forensic science institute : victims and perpetrators characteristics and associated risk factors

Trauma due to external causes represents one of the greatest challenges for public health services in different regions around the world. This study aimed to determine the prevalence of facial trauma, associated risk factors, and classification of body injuries in individuals who underwent forensic examination in a Brazilian center. Data were collected at the Ceará State Forensic Medicine unit in a 12-year period. Sociodemographic data related to the etiological agent and lesions resulting from the bodily injury were recorded. Among 1,031 physical injury exams, physical aggression (p<0.001), male victims aged between 21 and 30 years (p<0.001), salaried workers (p<0.001), and soft tissue and dentoalveolar injuries were significant findings. Regarding aggression, domestic violence was prevalent (p<0.001), perpetrated by the victim?s partner (p<0.001), using a blunt instrument during the aggression (p<0.001), and directly associated with soft tissue injury (p<0.001). In traffic accidents, the most common type was motorcycle accident (p<0.001), on weekdays (p=0.036), at nighttime (p=0.134), showing a significant association with bone fractures (p=0.001). Oral and maxillofacial injuries obtained from a Brazilian forensic science center were significantly associated with sociodemographic and etiological factors

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

Photography-based taxonomy is inadequate, unnecessary, and potentially harmful for biological sciences

The question whether taxonomic descriptions naming new animal species without type specimen(s) deposited in collections should be accepted for publication by scientific journals and allowed by the Code has already been discussed in Zootaxa (Dubois & Nemésio 2007; Donegan 2008, 2009; Nemésio 2009a–b; Dubois 2009; Gentile & Snell 2009; Minelli 2009; Cianferoni & Bartolozzi 2016; Amorim et al. 2016). This question was again raised in a letter supported by 35 signatories published in the journal Nature (Pape et al. 2016) on 15 September 2016. On 25 September 2016, the following rebuttal (strictly limited to 300 words as per the editorial rules of Nature) was submitted to Nature, which on 18 October 2016 refused to publish it. As we think this problem is a very important one for zoological taxonomy, this text is published here exactly as submitted to Nature, followed by the list of the 493 taxonomists and collection-based researchers who signed it in the short time span from 20 September to 6 October 2016

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

Consistent patterns of common species across tropical tree communities

Trees structure the Earth’s most biodiverse ecosystem, tropical forests. The vast number of tree species presents a formidable challenge to understanding these forests, including their response to environmental change, as very little is known about most tropical tree species. A focus on the common species may circumvent this challenge. Here we investigate abundance patterns of common tree species using inventory data on 1,003,805 trees with trunk diameters of at least 10 cm across 1,568 locations1,2,3,4,5,6 in closed-canopy, structurally intact old-growth tropical forests in Africa, Amazonia and Southeast Asia. We estimate that 2.2%, 2.2% and 2.3% of species comprise 50% of the tropical trees in these regions, respectively. Extrapolating across all closed-canopy tropical forests, we estimate that just 1,053 species comprise half of Earth’s 800 billion tropical trees with trunk diameters of at least 10 cm. Despite differing biogeographic, climatic and anthropogenic histories7, we find notably consistent patterns of common species and species abundance distributions across the continents. This suggests that fundamental mechanisms of tree community assembly may apply to all tropical forests. Resampling analyses show that the most common species are likely to belong to a manageable list of known species, enabling targeted efforts to understand their ecology. Although they do not detract from the importance of rare species, our results open new opportunities to understand the world’s most diverse forests, including modelling their response to environmental change, by focusing on the common species that constitute the majority of their trees.Publisher PDFPeer reviewe

Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis