1000 resultados para Vegetação de cobertura
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Devido à ação antrópica e consequente fragmentação e degradação do bioma Cerrado, as Unidades de Conservação cada vez mais se inserem como importantes locais de retenção da biodiversidade. A Estação Ecológica de Itirapina apresenta-se como um dos poucos locais do Estado de São Paulo que conservam as diversas fitofisionomias comuns nesse domínio. No intuito de contribuir com informações que auxiliem na conservação e restauração desse bioma, este trabalho traz como questões: as “Ilhas” de Vegetação facilitam o processo de sucessão no Campo Cerrado da Estação Ecológica de Itirapina, SP? Há diferença na regeneração em função da cobertura de copa condicionada pelas espécies formadoras das ilhas estudadas? Para isso, foram selecionadas ilhas com predomínio de Dalbergia miscolobium Benth. (Fabaceae), de Hancornia speciosa Gomes (Apocynaceae) e “Ilhas” Mistas, nas quais levantaram-se todos os indivíduos lenhosos e sublenhosos em parcelas montadas sob sua cobertura de copa e no seu entorno, além de amostrada a cobertura do estrato herbáceo, em função da aplicação do Método do Toque. Comparando-se o entorno e o interior das ilhas analisadas através do uso do Teste t pareado, foram relacionados os componentes diversidade, densidade, riqueza, cobertura do estrato herbáceo, além dos parâmetros de estrutura de habitat: temperatura, luminosidade, umidade do ar e do solo, e biomassa de serrapilheira. Utilizando-se a análise de ANOVA foram usados os mesmos parâmetros para a comparação das ilhas entre si. Alguns resultados nas Mistas, como a diversidade e cobertura do estrato herbáceo (t=5,113; p=0,00373/ t=-3,51; p=0,017, respectivamente), e nas ilhas de Dalbergia miscolobium, como a densidade e a riqueza (t=3,264; p=0,0223/ t=2,850; p=0,0463, respectivamente), associados com análises de estrutura de habitat (para p≤0,06), indicaram... (Resumo completo, clicar acesso eletrônico abaixo)
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Pós-graduação em Agronomia (Ciência do Solo) - FCAV
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Pós-graduação em Agronomia (Ciência do Solo) - FCAV
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Agronomia (Energia na Agricultura) - FCA
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Pós-graduação em Agronomia (Ciência do Solo) - FCAV
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Pós-graduação em Agronomia (Produção Vegetal) - FCAV
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The inadequate soil use is an aggravating factor of the environmental degradation and ecological unbalance. The analysis of the use and covering of the soil, by information of Remote Sensing, constitutes a technique of great usefulness to the planning and administration of the ordered occupation and rational of the physical middle, besides making possible to evaluate and to monitor the preservation of areas of natural vegetation. This work sought to evaluate the conflicts of soil use in permanent preservation areas (PPA) in Stream Comur watershed - Botucatu (SP) through Geographical Information System and satellite image of 2009. The study area is located among the geographical coordinates 48o 23’ 04” to 48o 25’ 54” of longitude WGr. and 22o 44’ 42” to 22o 48” 12” of latitude S with an area of 1,719.6 ha. The results allowed to verify that the geoprocessing techniques were of fundamental importance in the identification of the areas of soil use, of APP and of conflicts among use and PPA where it leaves of the areas of APP is being used inadequately. In terms of environmental sustainability, it can be deduced that the watershed is very unfavorable, once it presents 70.67% of area used inadequately with sugarcane and pasture.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The aim of this work is to discriminate vegetation classes throught remote sensing images from the satellite CBERS-2, related to winter and summer seasons in the Campos Gerais region Paraná State, Brazil. The vegetation cover of the region presents different kinds of vegetations: summer and winter cultures, reforestation areas, natural areas and pasture. Supervised classification techniques like Maximum Likelihood Classifier (MLC) and Decision Tree were evaluated, considering a set of attributes from images, composed by bands of the CCD sensor (1, 2, 3, 4), vegetation indices (CTVI, DVI, GEMI, NDVI, SR, SAVI, TVI), mixture models (soil, shadow, vegetation) and the two first main components. The evaluation of the classifications accuracy was made using the classification error matrix and the kappa coefficient. It was defined a high discriminatory level during the classes definition, in order to allow separation of different kinds of winter and summer crops. The classification accuracy by decision tree was 94.5% and the kappa coefficient was 0.9389 for the scene 157/128. For the scene 158/127, the values were 88% and 0.8667, respectively. The classification accuracy by MLC was 84.86% and the kappa coefficient was 0.8099 for the scene 157/128. For the scene 158/127, the values were 77.90% and 0.7476, respectively. The results showed a better performance of the Decision Tree classifier than MLC, especially to the classes related to cultivated crops, indicating the use of the Decision Tree classifier to the vegetation cover mapping including different kinds of crops.
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The urban area is now home to 50% of world population and the activities related to their disorganized growth, promote the formation of an unhealthy environment. The urban vegetation is necessary and beneficial, because in addition to bringing the man of nature, mitigates climate change and improve the urban microclimate. This study aimed at surveying and analyzing the rate of existing vegetation in urban Piratininga - SP, and from the data obtained, provide allowance for management and planning of green areas and urban areas. Data came from sample survey conducted in 2007 and computerized survey conducted in 2010 indicated that many new neighborhoods have low opt for planting trees of small to medium which does not enhance the urban environment requiring an environmental planning.
Influência das condições ambientais no verdor da vegetação da caatinga frente às mudanças climáticas
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The Caatinga biome, a semi-arid climate ecosystem found in northeast Brazil, presents low rainfall regime and strong seasonality. It has the most alarming climate change projections within the country, with air temperature rising and rainfall reduction with stronger trends than the global average predictions. Climate change can present detrimental results in this biome, reducing vegetation cover and changing its distribution, as well as altering all ecosystem functioning and finally influencing species diversity. In this context, the purpose of this study is to model the environmental conditions (rainfall and temperature) that influence the Caatinga biome productivity and to predict the consequences of environmental conditions in the vegetation dynamics under future climate change scenarios. Enhanced Vegetation Index (EVI) was used to estimate vegetation greenness (presence and density) in the area. Considering the strong spatial and temporal autocorrelation as well as the heterogeneity of the data, various GLS models were developed and compared to obtain the best model that would reflect rainfall and temperature influence on vegetation greenness. Applying new climate change scenarios in the model, environmental determinants modification, rainfall and temperature, negatively influenced vegetation greenness in the Caatinga biome. This model was used to create potential vegetation maps for current and future of Caatinga cover considering 20% decrease in precipitation and 1 °C increase in temperature until 2040, 35% decrease in precipitation and 2.5 °C increase in temperature in the period 2041-2070 and 50% decrease in precipitation and 4.5 °C increase in temperature in the period 2071-2100. The results suggest that the ecosystem functioning will be affected on the future scenario of climate change with a decrease of 5.9% of the vegetation greenness until 2040, 14.2% until 2070 and 24.3% by the end of the century. The Caatinga vegetation in lower altitude areas (most of the biome) will be more affected by climatic changes.