986 resultados para Great Island virus


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Los patógenos han desarrollado estrategias para sobrevivir en su entorno, infectar a sus huéspedes, multiplicarse dentro de estos y posteriormente transmitirse a otros huéspedes. Todos estos componentes hacen parte de la eficacia biológica de los patógenos, y les permiten ser los causantes de enfermedades infecciosas tanto en hombres y animales, como en plantas. El proceso de infección produce efectos negativos en la eficacia biológica del huésped y la gravedad de los efectos, dependerá de la virulencia del patógeno. Por su parte, el huésped ha desarrollado mecanismos de respuesta en contra del patógeno, tales como la resistencia, por la que reduce la multiplicación del patógeno, o la tolerancia, por la que disminuye el efecto negativo de la infección. Estas respuestas del huésped a la infección producen efectos negativos en la eficacia biológica del patógeno, actuando como una presión selectiva sobre su población. Si la presión selectiva sobre el patógeno varía según el huésped, se predice que un mismo patógeno no podrá aumentar su eficacia biológica en distintos huéspedes y estará más adaptado a un huésped y menos a otro, disminuyendo su gama de huéspedes. Esto supone que la adaptación de un patógeno a distintos huéspedes estará a menudo dificultada por compromisos (trade-off) en diferentes componentes de la eficacia biológica del patógeno. Hasta el momento, la evidencia de compromisos de la adaptación del patógeno a distintos huéspedes no es muy abundante, en lo que se respecta a los virus de plantas. En las últimas décadas, se ha descrito un aumento en la incidencia de virus nuevos o previamente descritos que producen enfermedades infecciosas con mayor gravedad y/o diferente patogenicidad, como la infección de huéspedes previamente resistentes. Esto se conoce como la emergencia de enfermedades infecciosas y está causada por patógenos emergentes, que proceden de un huésped reservorio donde se encuentran adaptados. Los huéspedes que actúan como reservorios pueden ser plantas silvestres, que a menudo presentan pocos síntomas o muy leves a pesar de estar infectados con diferentes virus, y asimismo se encuentran en ecosistemas con ninguna o poca intervención humana. El estudio de los factores ecológicos y biológicos que actúan en el proceso de la emergencia de enfermedades infecciosas, ayudará a entender sus causas para crear estrategias de prevención y control. Los virus son los principales patógenos causales de la emergencia de enfermedades infecciosas en humanos, animales y plantas y un buen modelo para entender los procesos de la emergencia. Asimismo, las plantas a diferencia de los animales, son huéspedes fáciles de manipular y los virus que las afectan, más seguros para el trabajo en laboratorio que los virus de humanos y animales, otros modelos también usados en la investigación. Por lo tanto, la interacción virus – planta es un buen modelo experimental para el estudio de la emergencia de enfermedades infecciosas. El estudio de la emergencia de virus en plantas tiene también un interés particular, debido a que los virus pueden ocasionar pérdidas económicas en los cultivos agrícolas y poner en riesgo la durabilidad de la resistencia de plantas mejoradas, lo que supone un riesgo en la seguridad alimentaria con impactos importantes en la sociedad, comparables con las enfermedades infecciosas de humanos y animales domésticos. Para que un virus se convierta en un patógeno emergente debe primero saltar desde su huésped reservorio a un nuevo huésped, segundo adaptarse al nuevo huésped hasta que la infección dentro de la población de éste se vuelva independiente del reservorio y finalmente debe cambiar su epidemiología. En este estudio, se escogió la emergencia del virus del mosaico del pepino dulce (PepMV) en el tomate, como modelo experimental para estudiar la emergencia de un virus en una nueva especie de huésped, así como las infecciones de distintos genotipos del virus del moteado atenuado del pimiento (PMMoV) en pimiento, para estudiar la emergencia de un virus que aumenta su patogenicidad en un huésped previamente resistente. El estudio de ambos patosistemas nos permitió ampliar el conocimiento sobre los factores ecológicos y evolutivos en las dos primeras fases de la emergencia de enfermedades virales en plantas. El PepMV es un patógeno emergente en cultivos de tomate (Solanum lycopersicum) a nivel mundial, que se describió primero en 1980 infectando pepino dulce (Solanum muricatum L.) en Perú, y casi una década después causando una epidemia en cultivos de tomate en Holanda. La introducción a Europa posiblemente fue a través de semillas infectadas de tomate procedentes de Perú, y desde entonces se han descrito nuevos aislados que se agrupan en cuatro cepas (EU, LP, CH2, US1) que infectan a tomate. Sin embargo, el proceso de su emergencia desde pepino dulce hasta tomate es un interrogante de gran interés, porque es uno de los virus emergentes más recientes y de gran importancia económica. Para la emergencia de PepMV en tomate, se recolectaron muestras de tomate silvestre procedentes del sur de Perú, se analizó la presencia y diversidad de aislados de PepMV y se caracterizaron tanto biológicamente (gama de huéspedes), como genéticamente (secuencias genomicas). Se han descrito en diferentes regiones del mundo aislados de PMMoV que han adquirido la capacidad de infectar variedades previamente resistentes de pimiento (Capsicum spp), es decir, un típico caso de emergencia de virus que implica la ampliación de su gama de huéspedes y un aumento de patogenicidad. Esto tiene gran interés, ya que compromete el uso de variedades resistentes obtenidas por mejora genética, que es la forma de control de virus más eficaz que existe. Para estudiar la emergencia de genotipos altamente patogénicos de PMMoV, se analizaron clones biológicos de PMMoV procedentes de aislados de campo cuya patogenicidad era conocida (P1,2) y por mutagénesis se les aumentó la patogenicidad (P1,2,3 y P1,2,3,4), introduciendo las mutaciones descritas como responsables de estos fenotipos. Se analizó si el aumento de la patogenicidad conlleva un compromiso en la eficacia biológica de los genotipos de PMMoV. Para ello se evaluaron diferentes componentes de la eficacia biológica del virus en diferentes huéspedes con distintos alelos de resistencia. Los resultados de esta tesis demuestran: i). El potencial de las plantas silvestres como reservorios de virus emergentes, en este caso tomates silvestres del sur de Perú, así como la existencia en estas plantas de aislados de PepMV de una nueva cepa no descrita que llamamos PES. ii) El aumento de la gama de huéspedes no es una condición estricta para la emergencia de los virus de plantas. iii) La adaptación es el mecanismo más probable en la emergencia de PepMV en tomate cultivado. iv) El aumento de la patogenicidad tiene un efecto pleiotrópico en distintos componentes de la eficacia biológica, así mismo el signo y magnitud de este efecto dependerá del genotipo del virus, del huésped y de la interacción de estos factores. ABSTRACT host Pathogens have evolved strategies to survive in their environment, infecting their hosts, multiplying inside them and being transmitted to other hosts. All of these components form part of the pathogen fitness, and allow them to be the cause of infectious diseases in humans, animals, and plants. The infection process produces negative effects on the host fitness and the effects severity will depend on the pathogen virulence. On the other hand, hosts have developed response mechanisms against pathogens such as resistance, which reduces the growth of pathogens, or tolerance, which decreases the negative effects of infection. T he se responses of s to infection cause negative effects on the pathogen fitness, acting as a selective pressure on its population. If the selective pressures on pathogens va ry according to the host s , probably one pathogen cannot increase its fitness in different hosts and will be more adapted to one host and less to another, decreasing its host range. This means that the adaptation of one pathogen to different hosts , will be often limited by different trade - off components of biological effectiveness of pathogen. Nowadays , trade - off evidence of pathogen adaptation to different hosts is not extensive, in relation with plant viruses. In last decades, an increase in the incidence of new or previously detected viruses has been described, causing infectious diseases with increased severity and/or different pathogenicity, such as the hosts infection previously resistants. This is known as the emergence of infectious diseases and is caused by emerging pathogens that come from a reservoir host where they are adapted. The hosts which act as reservoirs can be wild plants, that often have few symptoms or very mild , despite of being infected with different viruses, and being found in ecosystems with little or any human intervention. The study of ecological and biological factors , acting in the process of the infectious diseases emergence will help to understand its causes to create strategies for its prevention and control. Viruses are the main causative pathogens of the infectious diseases emergence in humans, animals and plants, and a good model to understand the emergency processes. Likewise, plants in contrast to animals are easy host to handle and viruses that affect them, safer for laboratory work than viruses of humans and animals, another models used in research. Therefore, the interaction plant-virus is a good experimental model for the study of the infectious diseases emergence. The study of virus emergence in plants also has a particular interest, because the viruses can cause economic losses in agricultural crops and threaten the resistance durability of improved plants, it suppose a risk for food security with significant impacts on society, comparable with infectious diseases of humans and domestic animals. To become an emerging pathogen, a virus must jump first from its reservoir host to a new host, then adapt to a new host until the infection within the population becomes independent from the reservoir, and finally must change its epidemiology. In this study, the emergence of pepino mosaic virus (PepMV) in tomato, was selected as experimental model to study the emergence of a virus in a new host specie, as well as the infections of different genotypes of pepper mild mottle virus (PMMoV) in pepper, to study the emergence of a virus that increases its pathogenicity in a previously resistant host. The study of both Pathosystems increased our knowledge about the ecological and evolutionary factors in the two first phases of the emergence of viral diseases in plants. The PepMV is an emerging pathogen in tomato (Solanum lycopersicum L.) in the world, which was first described in 1980 by infecting pepino (Solanum muricatum L.) in Peru, and almost after a decade caused an epidemic in tomato crops in Netherlands. The introduction to Europe was possibly through infected tomato seeds from Peru, and from then have been described new isolates that are grouped in four strains (EU, LP, CH2, US1) that infect tomato. However, the process of its emergence from pepino up tomato is a very interesting question, because it is one of the newest emerging viruses and economically important. For the PepMV emergence in tomato, wild tomato samples from southern Peru were collected, and the presence and diversity of PepMV isolates were analyzed and characterized at biological (host range) and genetics (genomic sequences) levels. Isolates from PMMoV have been described in different world regions which have acquired the ability to infect pepper varieties that were previously resistants (Capsicum spp), it means, a typical case of virus emergence which involves the host range extension and an increased pathogenicity. This is of great interest due to involve the use of resistant varieties obtained by breeding, which is the most effective way to control virus. To study the emergence of highly pathogenic genotypes of PMMoV, biological clones from field isolates whose pathogenicity was known were analyzed (P1,2) and by mutagenesis we increased its pathogenicity (P1,2,3 and P1,2, 3,4), introducing the mutations described as responsible for these phenotypes. We analyzed whether the increased pathogenicity involves a trade-off in fitness of PMMoV genotypes. For this aim, different components of virus fitness in different hosts with several resistance alleles were evaluated. The results of this thesis show: i). The potential of wild plants as reservoirs of emerging viruses, in this case wild tomatoes in southern Peru, and the existence in these plants of PepMV isolates of a new undescribed strain that we call PES. ii) The host range expansion is not a strict condition for the plant virus emergence. iii) The adaptation is the most likely mechanism in the PepMV emergence in cultivated tomato. iv) The increased pathogenicity has a pleiotropic effect on several fitness components, besides the sign and magnitude of this effect depends on the virus genotype, the host and the interaction of both.

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The use of residual biomass for energy purposes is of great interest in isolated areas like Majorca for waste reduction, energy sufficiency and renewable energies development. In addition, densification processes lead to easy-to-automate solid biofuels which additionally have higher energy density. The present study aims at (i) the estimation of the potential of residual biomass from woody crops as well as from agri-food and wood industries in Majorca, and (ii) the analysis of the optimal location of potential pellet plants by means of a GIS approach (location-allocation analysis) and a cost evaluation of the pellets production chain. The residual biomass potential from woody crops in Majorca Island was estimated at 35,874 metric tons dry matter (t DM) per year, while the wood and agri-food industries produced annually 21,494 t DM and 2717 t DM, respectively. Thus, there would be enough resource available for the installation of 10 pellet plants of 6400 t·year−1 capacity. These plants were optimally located throughout the island of Mallorca with a maximum threshold distance of 28 km for biomass transport from the production points. Values found for the biomass cost at the pellet plant ranged between 57.1 €·t−1 and 63.4 €·t−1 for biomass transport distance of 10 and 28 km. The cost of pelleting amounted to 56.7 €·t−1; adding the concepts of business fee, pellet transport and profit margin (15%), the total cost of pelleting was estimated at 116.6 €·t−1. The present study provides a proposal for pellet production from residual woody biomass that would supply up to 2.8% of the primary energy consumed by the domestic and services sector in the Balearic Islands.

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Present research is framed within the project MODIFICA (MODelo predictivo - edIFIcios - Isla de Calor urbanA) aimed at developing a predictive model for dwelling energy performance under the urban heat island effect in order to implement it in the evaluation of real energy demand and consumption of dwellings as well as in the selection of energy retrofitting strategies. It is funded by Programa de I+D+i orientada a los retos de la sociedad 'Retos Investigación' 2013. Despite great advances on building energy performance have been achieved during the last years, available climate data is derived from weather stations placed in the outskirts of the city. Hence, urban heat island effect is not considered in energy simulations, which implies an important lack of accuracy. Since 1980's several international studies have been conducted on the urban heat island (UHI) phenomena, which modifies the atmospheric conditions of the urban centres due to urban agglomeration [1][2][3][4]. In the particular case of Madrid, multiple maps haven been generated using different methodologies during the last two decades [5][6][7]. These maps allow us to study the UHI phenomena from a wide perspective, offering however an static representation of it. Consequently a dynamic model for Madrid UHI is proposed, in order to evaluate it in a continuous way, and to be able to integrate it in building energy simulations.

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Esta investigación se enmarca dentro del proyecto MODIFICA (modelo predictivo - Edificios - Isla de Calor Urbano), financiado por el Programa de I + D + i Orientada a los Retos de la sociedad 'Retos Investigación' de 2013. Está dirigido a desarrollar un modelo predictivo de eficiencia energética para viviendas, bajo el efecto de isla de calor urbano (AUS) con el fin de ponerla en práctica en la evaluación de la demanda de energía real y el consumo en las viviendas. A pesar de los grandes avances que se han logrado durante los últimos años en el rendimiento energético de edificios, los archivos de tiempo utilizados en la construcción de simulaciones de energía se derivan generalmente de estaciones meteorológicas situadas en las afueras de la ciudad. Por lo tanto, el efecto de la Isla de Calor Urbano (ICU) no se considera en estos cálculos, lo que implica una importante falta de precisión. Centrado en explorar cómo incluir los fenómenos ICU, el presente trabajo recopila y analiza la dinámica por hora de la temperatura en diferentes lugares dentro de la ciudad de Madrid. Abstract This research is framed within the project MODIFICA (Predictive model - Buildings - Urban Heat Island), funded by Programa de I+D+i orientada a los retos de la sociedad 'Retos Investigación' 2013. It is aimed at developing a predictive model for dwelling energy performance under the Urban Heat Island (UHI) effect in order to implement it in the evaluation of real energy demand and consumption in dwellings. Despite great advances on building energy performance have been achieved during the last years, weather files used in building energy simulations are usually derived from weather stations placed in the outskirts of the city. Hence, Urban Heat Island (UHI) effect is not considered in this calculations, which implies an important lack of accuracy. Focused on exploring how to include the UHI phenomena, the present paper compiles and analyses the hourly dynamics of temperature in different locations within the city of Madrid.

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Although polyomavirus JC (JCV) is the proven pathogen of progressive multifocal leukoencephalopathy, the fatal demyelinating disease, this virus is ubiquitous as a usually harmless symbiote among human beings. JCV propagates in the adult kidney and excretes its progeny in urine, from which JCV DNA can readily be recovered. The main mode of transmission of JCV is from parents to children through long cohabitation. In this study, we collected a substantial number of urine samples from native inhabitants of 34 countries in Europe, Africa, and Asia. A 610-bp segment of JCV DNA was amplified from each urine sample, and its DNA sequence was determined. A worldwide phylogenetic tree subsequently constructed revealed the presence of nine subtypes including minor ones. Five subtypes (EU, Af2, B1, SC, and CY) occupied rather large territories that overlapped with each other at their boundaries. The entire Europe, northern Africa, and western Asia were the domain of EU, whereas the domain of Af2 included nearly all of Africa and southwestern Asia all the way to the northeastern edge of India. Partially overlapping domains in Asia were occupied by subtypes B1, SC, and CY. Of particular interest was the recovery of JCV subtypes in a pocket or pockets that were separated by great geographic distances from the main domains of those subtypes. Certain of these pockets can readily be explained by recent migrations of human populations carrying these subtypes. Overall, it appears that JCV genotyping promises to reveal previously unknown human migration routes: ancient as well as recent.

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A new means of direct visualization of the early events of viral infection by selective fluorescence labeling of viral proteins coupled with digital imaging microscopy is reported. The early phases of viral infection have great importance for understanding viral replication and pathogenesis. Vesicular stomatitis virus, the best-studied rhabdovirus, is composed of an RNA genome of negative sense, five viral proteins, and membrane lipids derived from the host cell. The glycoprotein of vesicular stomatitis virus was labeled with fluorescein isothiocyanate, and the labeled virus was incubated with baby hamster kidney cells. After initiation of infection, the fluorescence of the labeled glycoprotein was first seen inside the cells in endocytic vesicles. The fluorescence progressively migrated to the nucleus of infected cells. After 1 h of infection, the virus glycoprotein was concentrated in the nucleus and could be recovered intact in a preparation of purified nuclei. These results suggest that uncoating of the viral RNA occurs close to the nuclear membrane, which would precede transcription of the leader RNA that enters the nucleus to shut off cellular RNA synthesis and DNA replication.

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The great adaptability shown by RNA viruses is a consequence of their high mutation rates. Here we investigate the kinetics of virus fitness gains during repeated transfers of large virus populations in cell culture. Results always show that fitness increases exponentially. Low fitness clones exhibit regular increases observed as biphasic periods of exponential evolutionary improvement, while neutral clones show monophasic kinetics. These results are significant for RNA virus epidemiology, optimal handling of attenuated live virus vaccines, and routine laboratory procedures.

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As viroses causam perdas significativas na cultura do melão. Dentre essas, o vírus do mosaico amarelo da abobrinha-de-moita (Zucchini yellow mosaic virus- ZYMV) possui grande importância para a cultura e é encontrado em todos os locais de plantio de cucurbitáceas. O controle desse vírus através da resistência genética é a forma mais eficiente de manejo. O acesso PI414723 é a única fonte de resistência de meloeiro ao ZYMV. Essa resistência é oligogênica e supostamente condicionada por três genes dominantes: Zym-1, Zym-2 e Zym-3. A localização cromossômica do gene Zym-1 já foi confirmada no grupo de ligação 2, próximo ao marcador CMAG36. Entretanto, a localização de Zym-2 ainda carece de confirmação experimental, muito embora existam evidências de sua localização no grupo de ligação 10 (LGX). Sendo assim, um dos objetivos do presente trabalho foi confirmar a localização do gene Zym-2 através de análises de ligação com marcadores microssatélites (SSRs). Para tanto, foi utilizada uma população F2 derivada do cruzamento PI414723 x \'Védrantais\'. As plantas foram inoculadas mecanicamente com o isolado RN6-F, patótipo 0, duas vezes em um intervalo de 24 h. A confirmação da infecção e a quantificação dos títulos virais nas plantas F2 foram realizadas através do teste PTA-ELISA. O DNA genômico das plantas foi extraído da primeira folha verdadeira e utilizado nas reações de PCR com primers específicos para SSRs selecionados pertencentes ao LGX. Observou-se uma distribuição assimétrica de classes de absorbância e maior frequência de indivíduos F2 na classe com menor valor (0,1 a 0,2), sugerindo a existência de um gene de efeito maior. O teste chi-quadrado mostrou que todos os marcadores segregaram na frequência esperada (1:2:1), exceto o marcador CMCT134b. A ligação do Zym-2 aos marcadores foi confirmada por meio de regressão linear simples. Dos marcadores analisados, a regressão linear foi significativa para MU6549 e CMBR55, com p-valores de 0,011 e 0,0054, respectivamente. As análises de ligação mostraram que as ordens e as distâncias entre os marcadores condizem com os mapas presentes na literatura. Um segundo objetivo do estudo foi o de avaliar a reação ao ZYMV de 42 acessos de meloeiro oriundos da região Nordeste do Brasil, com o intuito de explorar novas fontes de resistência. Foram realizados dois experimentos utilizando a mesma metodologia citada anteriormente. O título viral médio entre os acessos variou de 0,123 a 0,621 no experimento 1 e de 0,019 a 0,368 no experimento 2. Alguns acessos apresentaram consistentemente baixos títulos virais, próximos aos do acesso resistente PI414723 e dos controles negativos (plantas não inoculadas da cultivar \'Védrantais\'). Portanto, estes acessos mostram-se como potenciais fontes de resistência ao vírus para o emprego em programas de melhoramento.

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This layer is a georeferenced raster image of the untitled, historic nautical chart: [Coast of New England from Point Judith, Rhode Island, to Great Bay, Long Island] (sheet originally published in 1779). The map is [sheet 3] from the Atlantic Neptune atlas Vol. 3 : Charts of the coast and harbors of New England, from surveys taken by Samuel Holland and published by J.F.W. Des Barres, 1781. Scale [ca. 1:128,000]. This layer is image 1 of 2 total images of the two sheet source map, representing the western portion of the map. Covers portions of Long Island Sound and the coasts of Long Island, New York (including Gardiners Island and Plum Island) and Connecticut near New London. The image is georeferenced to the surface of the earth and fit to the 'World Mercator' (WGS 84) projected coordinate system. All map collar information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, or other information associated with the principal map. This map shows coastal features such as harbors, inlets, rocks, channels, points, coves, shoals, islands, and more. Includes also selected land features such as cities and towns. Relief is shown by hachures; depths by soundings and shading. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection. The entire Atlantic Neptune atlas Vol. 3 : Charts of the coast and harbors of New England has been scanned and georeferenced as part of this selection.

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This layer is a georeferenced raster image of the untitled, historic nautical chart: [Coast of New England from Point Judith, Rhode Island, to Great Bay, Long Island] (sheet originally published in 1779). The map is [sheet 4] from the Atlantic Neptune atlas Vol. 3 : Charts of the coast and harbors of New England, from surveys taken by Samuel Holland and published by J.F.W. Des Barres, 1781. Scale [ca. 1:128,000]. This layer is image 2 of 2 total images of the two sheet source map, representing the eastern portion of the map. Covers portions of Long Island Sound and the coasts of Long Island (Montauk Point), New York, Connecticut, and Rhode Island (including Block Island and Narragansett Bay). The image is georeferenced to the surface of the earth and fit to the 'World Mercator' (WGS 84) projected coordinate system. All map collar information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, or other information associated with the principal map. This map shows coastal features such as harbors, inlets, rocks, channels, points, coves, shoals, islands, and more. Includes also selected land features such as cities and towns. Relief is shown by hachures; depths by soundings and shading. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection. The entire Atlantic Neptune atlas Vol. 3 : Charts of the coast and harbors of New England has been scanned and georeferenced as part of this selection.

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Beach profile line data collected from 32 profile sites along Long Beach Island, New Jersey. A total of 2,158 profile line surveys were examined, using empirical eigenfunction analysis and other measures of beach variability. Most profile lines have shown an accretionary trend since 1962 with rates between 2.3 and 0.24 meter per year in spite of erosion estimates due to sea level rise on the order of 0.68 meter per year. A great deal of variability in profile line change takes place along the beach, increasing from north to south, due to the location of profile lines relative to structures and offshore linear shoals. Detailed closely spaced profile lines taken over a year in a groin field near the north end of the island indicate littoral transport directions shift from north to south. Evidence of a littoral transport node near the north end of the groin field has been found. Net transport of the node is toward the south, but the rate could not be established due to lack of adequate wave data. Profile line variability within groin cells shows that single profile lines are not sufficient to determine the net change within a cell. The design of future beach monitoring studies should consider coastal structures, offshore bathymetry, the method of analysis, and the scales of processes under study. A coastal storm in November 1968 moved the MSL back as much as 22 meters; however, the beach recovered without artificial measures. The offshore bathymetry shows a series of shoreface-connected linear shoals at several locations along the island. Limited data show that these have remained stable and that most beach variability takes place in water shallower than 3 meters.

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"Written for the National Anti-Corn Law Bazaar, May 1845."

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Mode of access: Internet.

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Cover title.