21 research outputs found

    AVALIAÇÃO DO ESTADO NUTRICIONAL DE TRÊS GRAMADOS ORNAMENTAIS EM ILHA SOLTEIRA–SP: UM ESTUDO DE CASO

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    Os gramados são de grande importância para o meio ambiente, podendo ser utilizados para diversos fins, contudo, para que apresentem visual agradável é necessário que sejam muito bem cuidados tanto no momento da implantação como depois, na manutenção. Sendo assim, objetivou-se com o presente trabalho avaliar o estado nutricional de gramados ornamentais, analisando, em laboratório, as quantidades de macro e micronutrientes no solo e nas folhas da grama esmeralda (Zoysia japonica Steud.). O estudo foi conduzido na cidade de Ilha Solteira – SP, no mês de maio de 2016, em três lugares, sendo duas residências e uma instituição de ensino particular. Foram avaliados a necessidade de adubação, bem como o índice de conteúdo de clorofila (ICC) com um clorofilômetro manual e sua relação com os macro e micronutrientes foliares. Com base nos resultados obtidos, conclui-se que os gramados avaliados apresentaram boas condições nutricionais. Nestes, a adubação de manutenção nem sempre é necessária, caso os restos provenientes do corte da grama esmeralda não sejam retirados. O clorofilômetro pôde indicar, de forma mais rápida e prática, a necessidade de fertilização, podendo ser utilizado por empresas de manutenção paisagística para saber a hora certa de adubação.The lawns have significant importance for the environment and can be used for various purposes, nevertheless, to have a pleasant look of them it is necessary to be very well kept during both time, i.e. at the of implantation and afterward in maintenance. Therefore, the focus of this work is to evaluate the nutritional status of ornamental lawns by analyzing in a laboratory the macro and micronutrient content in the soil and leaves of Emerald Grass (Zoysia japonica Steud.). The work was performed in Ilha Solteira City, SP, in May 2016, in three places, two residences and one private educational institution. It was evaluated the need for fertilization, as well as the index of chlorophyll content (ICC), using a hand chlorophyllometer, and its relationship with macro and foliar micronutrients. It was concluded, based on the results achieved, that the evaluated lawns presented good nutritional conditions. The maintenance fertilization is not even necessary when Emerald Grass cutting wastes are not removed. The chlorophyllometer indicated, in a faster and practical way, the need for fertilization, and could be used by landscape maintenance companies to know the right time of applying fertilizers

    Pervasive gaps in Amazonian ecological research

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    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

    Get PDF

    Pervasive gaps in Amazonian ecological research

    Get PDF
    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

    Estudo Zoométrico dos rebanhos Mantiqueiras e Holandês preto e branco da estação experimental de zootecnia de Pindamonhangaba

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    Na Estação Experimental de Zootecnia de Pindamonhangaba, setenta vacas de mais de 5,5 anos da raça Holandesa e do tipo Mantiqueira foram pesadas e avaliadas em diversas medidas - altura, comprimento, largura e perímetro - assim como foram calculados diversos (índices zoométricos, com as seguintes finalidades: classificar os dois rebanhos quanto ao tipo zootécnico, estabelecer diferenças entre eles e descrever melhor o tipo Mantiqueira, que é um ecótipo, derivado dos gados Holandês e Crioulo, da região da Mantiqueira, entre São Paulo e Minas Gerais. Concluiu-se que 1- as vacas da raça Holandesa são estatisticamente mais altas que as da Mantiqueira, não diferindo, no entanto, nas demais medidas - comprimento, largura, perímetro do corpo e nem de peso vivo; 2- tanto as vacas da raça Holandesa como as da Mantiqueira são animais do tipo leiteiro, de acordo com os índices zoométricos; 3- os animais do tipo Mantiqueira tiveram maiores valores para os índices de compacidade e anamorfose, o que lhes conferem mais força e vigor físico. 4- os animais do tipo Mantiqueira apresentam elevado uniformidade morfológica, sendo um agrupamento menos variável que o Holandês (criado no local) na maioria das características estudadas

    Spirituality in oncology - a consensus by the Brazilian Society of Clinical Oncology

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    Spirituality is a dynamic and an intrinsic aspect of humanity and is usually intense in cancer for patients, families, and health care teams. Evidence on spirituality, health, and healing have increased over the last decades. This consensus is for those involved in cancer patient care, with concepts and possible strategies for addressing spirituality, with discussion on the relevance, impact, and challenges of spirituality care. The purpose and intent of the consensus are to highlight the need for spirituality inclusion in the complex and delicate trajectory of cancer patients
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