956 resultados para " cerrado" vegetation


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Vegetation growing on railway trackbeds and embankments present potential problems. The presence of vegetation threatens the safety of personnel inspecting the railway infrastructure. In addition vegetation growth clogs the ballast and results in inadequate track drainage which in turn could lead to the collapse of the railway embankment. Assessing vegetation within the realm of railway maintenance is mainly carried out manually by making visual inspections along the track. This is done either on-site or by watching videos recorded by maintenance vehicles mainly operated by the national railway administrative body. A need for the automated detection and characterisation of vegetation on railways (a subset of vegetation control/management) has been identified in collaboration with local railway maintenance subcontractors and Trafikverket, the Swedish Transport Administration (STA). The latter is responsible for long-term planning of the transport system for all types of traffic, as well as for the building, operation and maintenance of public roads and railways. The purpose of this research project was to investigate how vegetation can be measured and quantified by human raters and how machine vision can automate the same process. Data were acquired at railway trackbeds and embankments during field measurement experiments. All field data (such as images) in this thesis work was acquired on operational, lightly trafficked railway tracks, mostly trafficked by goods trains. Data were also generated by letting (human) raters conduct visual estimates of plant cover and/or count the number of plants, either on-site or in-house by making visual estimates of the images acquired from the field experiments. Later, the degree of reliability of(human) raters’ visual estimates were investigated and compared against machine vision algorithms. The overall results of the investigations involving human raters showed inconsistency in their estimates, and are therefore unreliable. As a result of the exploration of machine vision, computational methods and algorithms enabling automatic detection and characterisation of vegetation along railways were developed. The results achieved in the current work have shown that the use of image data for detecting vegetation is indeed possible and that such results could form the base for decisions regarding vegetation control. The performance of the machine vision algorithm which quantifies the vegetation cover was able to process 98% of the im-age data. Investigations of classifying plants from images were conducted in in order to recognise the specie. The classification rate accuracy was 95%.Objective measurements such as the ones proposed in thesis offers easy access to the measurements to all the involved parties and makes the subcontracting process easier i.e., both the subcontractors and the national railway administration are given the same reference framework concerning vegetation before signing a contract, which can then be crosschecked post maintenance.A very important issue which comes with an increasing ability to recognise species is the maintenance of biological diversity. Biological diversity along the trackbeds and embankments can be mapped, and maintained, through better and robust monitoring procedures. Continuously monitoring the state of vegetation along railways is highly recommended in order to identify a need for maintenance actions, and in addition to keep track of biodiversity. The computational methods or algorithms developed form the foundation of an automatic inspection system capable of objectively supporting manual inspections, or replacing manual inspections.

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The national railway administrations in Scandinavia, Germany, and Austria mainly resort to manual inspections to control vegetation growth along railway embankments. Manually inspecting railways is slow and time consuming. A more worrying aspect concerns the fact that human observers are often unable to estimate the true cover of vegetation on railway embankments. Further human observers often tend to disagree with each other when more than one observer is engaged for inspection. Lack of proper techniques to identify the true cover of vegetation even result in the excess usage of herbicides; seriously harming the environment and threating the ecology. Hence work in this study has investigated aspects relevant to human variationand agreement to be able to report better inspection routines. This was studied by mainly carrying out two separate yet relevant investigations.First, thirteen observers were separately asked to estimate the vegetation cover in nine imagesacquired (in nadir view) over the railway tracks. All such estimates were compared relatively and an analysis of variance resulted in a significant difference on the observers’ cover estimates (p<0.05). Bearing in difference between the observers, a second follow-up field-study on the railway tracks was initiated and properly investigated. Two railway segments (strata) representingdifferent levels of vegetationwere carefully selected. Five sample plots (each covering an area of one-by-one meter) were randomizedfrom each stratumalong the rails from the aforementioned segments and ten images were acquired in nadir view. Further three observers (with knowledge in the railway maintenance domain) were separately asked to estimate the plant cover by visually examining theplots. Again an analysis of variance resulted in a significant difference on the observers’ cover estimates (p<0.05) confirming the result from the first investigation.The differences in observations are compared against a computer vision algorithm which detects the "true" cover of vegetation in a given image. The true cover is defined as the amount of greenish pixels in each image as detected by the computer vision algorithm. Results achieved through comparison strongly indicate that inconsistency is prevalent among the estimates reported by the observers. Hence, an automated approach reporting the use of computer vision is suggested, thus transferring the manual inspections into objective monitored inspections

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ABSTRACT World Heritage sites provide a glimpse into the stories and civilizations of the past. There are currently 1007 unique World Heritage properties with 779 being classified as cultural sites, 197 as natural sites, and 31 falling into the categories of both cultural and natural sites (UNESCO & World Heritage Centre, 1992-2015). However, of these 1007 World Heritage sites, at least 46 are categorized as in danger and this number continues to grow. These unique and irreplaceable sites are exceptional because of their universality. Consequently, since World Heritage sites belong to all the people of the world and provide inspiration and admiration to all who visit them, it is our responsibility to help preserve these sites. The key form of preservation involves the individual monitoring of each site over time. While traditional methods are still extremely valuable, more recent advances in the field of geographic and spatial technologies including geographic information systems (GIS), laser scanning, and remote sensing, are becoming more beneficial for the monitoring and overall safeguarding of World Heritage sites. Through the employment and analysis of more accurately detailed spatial data, World Heritage sites can be better managed. There is a strong urgency to protect these sites. The purpose of this thesis is to describe the importance of taking care of World Heritage sites and to depict a way in which spatial technologies can be used to monitor and in effect preserve World Heritage sites through the utilization of remote sensing imagery. The research conducted in this thesis centers on the Everglades National Park, a World Heritage site that is continually affected by changes in vegetation. Data used include Landsat satellite imagery that dates from 2001-2003, the Everglades' boundaries shapefile, and Google Earth imagery. In order to conduct the in-depth analysis of vegetation change within the selected World Heritage site, three main techniques were performed to study changes found within the imagery. These techniques consist of conducting supervised classification for each image, incorporating a vegetation index known as Normalized Vegetation Index (NDVI), and utilizing the change detection tool available in the Environment for Visualizing Images (ENVI) software. With the research and analysis conducted throughout this thesis, it has been shown that within the three year time span (2001-2003), there has been an overall increase in both areas of barren soil (5.760%) and areas of vegetation (1.263%) with a decrease in the percentage of areas classified as sparsely vegetated (-6.987%). These results were gathered through the use of the maximum likelihood classification process available in the ENVI software. The results produced by the change detection tool which further analyzed vegetation change correlate with the results produced by the classification method. As well, by utilizing the NDVI method, one is able to locate changes by selecting a specific area and comparing the vegetation index generated for each date. It has been found that through the utilization of remote sensing technology, it is possible to monitor and observe changes featured within a World Heritage site. Remote sensing is an extraordinary tool that can and should be used by all site managers and organizations whose goal it is to preserve and protect World Heritage sites. Remote sensing can be used to not only observe changes over time, but it can also be used to pinpoint threats within a World Heritage site. World Heritage sites are irreplaceable sources of beauty, culture, and inspiration. It is our responsibility, as citizens of this world, to guard these treasures.

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The aim of this thesis was to evaluate historical change of the landscape of Madeira Island and to assess spatial and temporal vegetation dynamics. In current research diverse “retrospective techniques”, such as landscape repeat photography, dendrochronology, and research of historical records were used. These, combined with vegetation relevés, aimed to gather information about landscape change, disturbance history, and vegetation successional patterns. It was found that landscape change, throughout 125 years, was higher in the last five decades manly driven by farming abandonment, building growth and exotic vegetation coverage increase. Pristine vegetation was greatly destroyed since early settlement and by the end of the nineteenth century native vegetation was highly devastated due to recurrent antropogenic disturbances. These actions also helped to block plant succession and to modify floristical assemblages, affecting as well as species richness. In places with less hemeroby, although significant growth of vegetation of lower seral stages was detected, the vegetation of most mature stages headed towards unbalance between recovery and loss, being also very vulnerable to exotic species encroachment. Recovery by native vegetation also occurred in areas formerly occupied by exotic plants and agriculture but it was almost negligible. Vegetation recovery followed the successional model currently proposed, attesting the model itself. Yet, succession was slower than espected, due to lack of favourable conditions and to recurrent disturbances. Probable tempus of each seral stage was obtained by growth rates of woody taxa estimated through dendrochronology. The exotic trees which were the dominant trees in the past (Castanea sativa and Pinus pinaster) almost vanished. Eucalyptus globulus, the current main tree of the exotic forest is being replaced by other cover types as Acacia mearnsii. The latter, along with Arundo donax, Cytisus scoparius and Pittosporum undulatum are currently the exotic species with higher invasive behaviour. However, many other exotic species have also proved to be highly pervasive and came together with the ones referred above to prevent native vegetation regeneration, to diminish biological diversity, and to block early successional phases delaying native forest recovery.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Este estudo objetivou avaliar a correção do solo no estabelecimento do sistema plantio direto em Latossolo Vermelho localizado em região típica de Cerrado, Selvíria - MS. Os tratamentos consistiram em cinco formas de aplicação de calagem, em dose única ou parcelada, e duas culturas de cobertura. A calagem sem incorporação, independentemente do modo de aplicação, corrigiu a acidez do solo e aumentou os teores de Ca e Mg na camada de 0-0,05 m; nas demais profundidades, não houve alterações significativas desses atributos. A incorporação do calcário na camada de 0-0,2m modificou, uniformemente, os valores de pH, Ca, Mg e soma de bases do solo até à profundidade de 0,2 m. O sorgo como cultura de cobertura possibilitou maiores teores de Ca e Mg quando a dose de calcário foi subdividida em três aplicações.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Background: Pythiosis in horses is a proliferative and ulcerative disease that primarily affects the skin and subcutaneous tissue of limbs, thoracic-abdominal region and head. This disease sometimes can also affect limb bones or cause tumoral masses in abdomen. Usually, the cutaneous cases are confused with habronemiasis. The disease is more common in marshy areas, places with formation of slow drainage ponds and aquatic vegetation under high temperatures. The aim of this study was to describe the development of facial lesions in a horse caused by pythiosis in Cuiaba, Mato Grosso, and, additionally to discuss relevant issues regarding the diagnosis, clinical course and response to immunotherapy treatment.Case: One five years old mare of unknown breed, created in property located in the Cerrado region, had a wound on its face difficult to be healed and non-responsive to several treatments based on ivermectin and organophosphate administrated by either topical or systemic via. The animal was assisted on the farm of origin by the veterinary team of the Clinical Medicine sector, of the Veterinary Hospital, Universidade Federal de Mato Grosso (HOVET-UFMT). on the occasion of the visit, which occurred 60 days after onset of signs, the animal showed a circular single large lesion, ulcerative with serous discharge on the right part of its face, between the eyes and nostrils. There were some necrotic foci with sinus, from which kunkers were extracted; a condition compatible with pythiosis. The diagnosis was confirmed by histology, ELISA and PCR.Discussion: Assuming pythiosis from data obtained from the survey and profile of the lesion (secretory aspect, emaciation and presence of sinus and kunkers), immunotherapy treatment was immediately applied. The advanced clinical aspects and the fact that early diagnosis and treatment are essentials to satisfactory therapeutic response were also taken into consideration for starting the treatment. The remission of signs was achieved after five subcutaneous applications with 14 days between each application. From the second application, it was observed clinical improvement and after 60 days of treatment there was almost complete remission of signs. The signs for a satisfactory response in the injury site followed the order of decreasing secretory aspect, decreasing borders, decrease the itching and bringing the edges together with the formation of a thin layer of crust on the surface. Pythiosis cases with lesions on the face and lower abdomen are commonly confused with habronemiasis by macroscopic and widespread similarity between technicians and attendants, and essential support to the diagnosis through laboratory tests, which in turn are still underutilized. In this case, the authors demonstrated the therapeutic efficacy of immunotherapy as an advantage, considering the possibility of applying it in cases of lesions in areas of difficult surgical access, treatment conditions in the field, with low cost and ease of application. Further studies approaching this alternative therapy are necessary, since side effects have been observed in some cases.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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A necessidade de se conhecer mais sobre o Bioma Cerrado torna-se cada vez mais urgente, devido à sua destruição acelerada. Este trabalho realizou o levantamento florístico-fitossociológico de uma área de cerrado sensu stricto na Fazenda Santa Cecília, município de Patrocínio Paulista, nordeste do Estado de São Paulo (20º 46' 2 S e 47º 14' 24 W, 836 m de altitude e Neossolo Quartzarênico). em 30 parcelas de 10 x 10 m, foram amostrados 511 indivíduos arbustivo-arbóreos de PAP > 15 cm, pertencentes a 30 famílias, 38 gêneros e 53 espécies. As famílias com maior riqueza específica foram Fabaceae (sete espécies), Myrtaceae (cinco espécies), Vochysiaceae (quatro espécies), Annonaceae (três espécies) e Caesalpiniaceae (três espécies), totalizando 45% das espécies. As espécies de maior valor de importância (IVI) foram: Qualea grandiflora (62,38), Dalbergia miscolobium (22,24), Styrax camporum (21,86), Ocotea corymbosa (18,02), Qualea parviflora (14,97) e Qualea multiflora (11,46). A comunidade arbórea apresentou densidade de 1.703 indivíduos por hectare, índice de Shannon (H') de 3,05 e índice de similaridade de Jaccard (ISj) de 45% quando comparado com área próxima de cerrado.

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A produção de massa seca, a taxa de decomposição e a liberação de nitrogênio (N) foram avaliadas em um experimento com sete tipos de cobertura vegetal: milheto pérola (Pennisetum americanum sin. tiphoydes), braquiária (Brachiaria brizantha), sorgo forrageiro (Sorghum bicolor L. Moench), guandu (Cajanus cajan (L.) Millsp), crotalária juncea (Crotalarea juncea) e aveia-preta (Avena strigosa Schreb), em pousio e em área de cultivo convencional (testemunha), em solo de cerrado, em Uberaba, região do Triângulo Mineiro. Dentre as coberturas avaliadas, o milheto e a crotalária foram as que apresentaram a maior produção de massa seca, maior acúmulo e a maior liberação de N. A braquiária foi a cobertura que apresentou a maior taxa de decomposição. Todas as coberturas apresentaram a maior taxa de liberação de N até 42 dias após dessecação.

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The soil physical quality is defined as the soil capacity to maintain the sustainable productivity during the years. To assess soil physical quality, attributes were evaluated in the layers of 0.0-0.10, 0.10-0.20, 0.20-0.30, 0.30-0.40 m in acrustox. The experimental design was entirely randomized, with four systems of use ( corn, sugar-cane, pasture and native vegetation), four soil depths and four replications. The parameter evaluated were: texture, degree of clay flocculation, soil bulk density, porosity, water retention and "S" parameter. The usage and management systems caused soil physical degradation, being greater in pasture system with intensive usage, with smaller soil physical quality for plants development. The soil physical quality, evaluated by physical attributes, followed the following order: native vegetation > maize > sugar-cane > pasture. The Oxisol, although shows present excellent physical structure and needs an adequate management to prevent excessive compaction.