987 resultados para Forecasts


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Each year, more than 500 motorized vessel groundings cause widespread damage to seagrasses in Florida Keys National Marine Sanctuary (FKNMS). Under Section 312 of the National Marine Sanctuaries Act (NMSA), any party responsible for the loss, injury, or destruction of any Sanctuary resource, including seagrass, is liable to the United States for response costs and resulting damages. As part of the damage assessment process, a cellular automata model is utilized to forecast seagrass recovery rates. Field validation of these forecasts was accomplished by comparing model-predicted percent recovery to that which was observed to be occurring naturally for 30 documented vessel grounding sites. Model recovery forecasts for both Thalassia testudinum and Syringodium filiforme exceeded natural recovery estimates for 93.1% and 89.5% of the sites, respectively. For Halodule wrightii, the number of over- and under-predictions by the model was similar. However, where under-estimation occurred, it was often severe, reflecting the well-known extraordinary growth potential of this opportunistic species. These preliminary findings indicate that the recovery model is consistently generous to Responsible Parties in that the model forecasts a much faster recovery than was observed to occur naturally, particularly for T. testudinum, the dominant seagrass species in the region and the species most often affected. Environmental setting (i.e., location, wave exposure) influences local seagrass landscape pattern and may also play a role in the recovery dynamics for a particular injury site. An examination of the relationship between selected environmental factors and injury recovery dynamics is currently underway. (PDF file contains 20 pages.)

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In this paper, reanalysis fields from the ECMWF have been statistically downscaled to predict from large-scale atmospheric fields, surface moisture flux and daily precipitation at two observatories (Zaragoza and Tortosa, Ebro Valley, Spain) during the 1961-2001 period. Three types of downscaling models have been built: (i) analogues, (ii) analogues followed by random forests and (iii) analogues followed by multiple linear regression. The inputs consist of data (predictor fields) taken from the ERA-40 reanalysis. The predicted fields are precipitation and surface moisture flux as measured at the two observatories. With the aim to reduce the dimensionality of the problem, the ERA-40 fields have been decomposed using empirical orthogonal functions. Available daily data has been divided into two parts: a training period used to find a group of about 300 analogues to build the downscaling model (1961-1996) and a test period (19972001), where models' performance has been assessed using independent data. In the case of surface moisture flux, the models based on analogues followed by random forests do not clearly outperform those built on analogues plus multiple linear regression, while simple averages calculated from the nearest analogues found in the training period, yielded only slightly worse results. In the case of precipitation, the three types of model performed equally. These results suggest that most of the models' downscaling capabilities can be attributed to the analogues-calculation stage.

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A Human Security Index (HIS) enumerating 200 countries was introduced in 2008. A community-level HSI is under development in the USA. Coastal communities face large disparities in components of human security. How can a HSI support improved policies/services (such as environmental or public health forecasts or warnings) for improving lives? Several issues are discussed. (PDF contains 4 pages)

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According to the Millennium Ecosystem Assessment’s chapter “Coastal Systems” (Agardy and Alder 2005), 40% of the world population falls within 100 km of the coast. Agardy and Alder report that population densities in coastal regions are three times those of inland regions and demographic forecasts suggest a continued rise in coastal populations. These high population levels can be partially traced to the abundance of ecosystem services provided in the coastal zone. While populations benefit from an abundance of services, population pressure also degrades existing services and leads to increased susceptibility of property and human life to natural hazards. In the face of these challenges, environmental administrators on the coast must pursue agendas which reflect the difficult balance between private and public interests. These decisions include maintaining economic prosperity and personal freedoms, protecting or enhancing the existing flow of ecosystem services to society, and mitigating potential losses from natural hazards. (PDF contains 5 pages)

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The health of the oceans and people are inextricably linked. For many years we focused research and policy on anthropogenic impacts to oceans and coasts. Recently we have started to think about how the health of the oceans affects us. In response to the Oceans and Human Health Act of 2004, a NOAA initiative was created to explore the “One Health” of the oceans and coasts. The Center of Excellence in Oceans and Human Health at Hollings Marine Laboratory (HML) is one of three Centers dedicated to understanding the connections and forecasting changes in ocean and coastal health and human health. The Center at HML is developing new tools and approaches, including sentinel habitats and sentinel species, to evaluate linkages between ecological process and human health and wellbeing. The results provide environmental and public health managers, policy-makers and communities forecasts and assessments to improve ecosystem-based management that protects health and mitigates risks for the oceans, coasts and people.(PDF contains 4 pages)

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4 p.

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Time, risk, and attention are all integral to economic decision making. The aim of this work is to understand those key components of decision making using a variety of approaches: providing axiomatic characterizations to investigate time discounting, generating measures of visual attention to infer consumers' intentions, and examining data from unique field settings.

Chapter 2, co-authored with Federico Echenique and Kota Saito, presents the first revealed-preference characterizations of exponentially-discounted utility model and its generalizations. My characterizations provide non-parametric revealed-preference tests. I apply the tests to data from a recent experiment, and find that the axiomatization delivers new insights on a dataset that had been analyzed by traditional parametric methods.

Chapter 3, co-authored with Min Jeong Kang and Colin Camerer, investigates whether "pre-choice" measures of visual attention improve in prediction of consumers' purchase intentions. We measure participants' visual attention using eyetracking or mousetracking while they make hypothetical as well as real purchase decisions. I find that different patterns of visual attention are associated with hypothetical and real decisions. I then demonstrate that including information on visual attention improves prediction of purchase decisions when attention is measured with mousetracking.

Chapter 4 investigates individuals' attitudes towards risk in a high-stakes environment using data from a TV game show, Jeopardy!. I first quantify players' subjective beliefs about answering questions correctly. Using those beliefs in estimation, I find that the representative player is risk averse. I then find that trailing players tend to wager more than "folk" strategies that are known among the community of contestants and fans, and this tendency is related to their confidence. I also find gender differences: male players take more risk than female players, and even more so when they are competing against two other male players.

Chapter 5, co-authored with Colin Camerer, investigates the dynamics of the favorite-longshot bias (FLB) using data on horse race betting from an online exchange that allows bettors to trade "in-play." I find that probabilistic forecasts implied by market prices before start of the races are well-calibrated, but the degree of FLB increases significantly as the events approach toward the end.

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A Nova Lei de Diretrizes e Bases da Educação Brasileira (LDB 9.394/96) prevê que a educação superior promova criticidade, reflexibilidade, correlação de saberes, mas também o incentivo ao trabalho de pesquisa e investigação científica, visando ao desenvolvimento da ciência e da tecnologia e da criação e difusão da cultura e, desse modo, desenvolver o entendimento do homem e do meio em que vive. (Artigo 43, inciso III). Entretanto, pouco se ouve sobre essas questões a partir da voz do orientador de pesquisas acadêmicas, o que esta pesquisadora considera um problema de ordem social, tendo em vista a importância desses atores sociais para o campo acadêmico. Os poucos trabalhos que abordam o tema limitam-se a identificar o orientador a partir das impressões empíricas dos orientandos e a refletir as atuações a partir de questões político-educacionais (FLECHA, 2003; MAZZILLI, 2003; BIANCHETTI & MACHADO, 2006). Neste sentido, o presente trabalho procura responder, através da Análise Crítica do Discurso (ACD), o que os orientadores têm a dizer sobre sua prática social. De caráter interpretativo (ALVEZ-MAZZOTTI, 1999), conta com dados gerados por orientadores de mestrado em Linguística/Linguística Aplicada, das esferas federal, estadual e privada, do Rio de janeiro, sendo dois participantes de cada esfera. Na primeira etapa, os sujeitos responderam a uma entrevista semiestruturada. A segunda etapa consta de: a) um questionário; b) correspondências eletrônicas; c) os regimentos dos programas de pós-graduação; e d) revisão histórica da orientação no Brasil. O caráter social deste estudo é a relação dialética entre linguagem e sociedade, já que a ACD considera qualquer evento discursivo ao mesmo tempo um texto (primeira dimensão), uma prática discursiva (segunda dimensão) e uma prática social (terceira dimensão): o modelo tridimensional (FAIRCLOUGH, 2001). O Sistema de Transitividade da LSF pautou a análise da primeira dimensão, confirmando outros estudos sobre o ranking da recorrência dos processos (LIMA LOPES, 2001). A interpretação dessa primeira dimensão aponta que os orientadores atuam na idiossincrasia, e que os principais atores sociais desse fazer são o orientador e o orientando, em relação assimétrica de poder. Na segunda dimensão, a interdiscursividade reforça essa idiossincrasia, mas inclui as pressões institucionais, que agem como reguladoras desse fazer. Na terceira dimensão, os resultados sugerem que aspectos históricos justificam a queda da qualidade dos mestrandos, associando a isso um interesse político, e as características da pós-modernidade a uma nova e híbrida atuação. Além disso, os resultados apontam para um discurso de resistência à hegemonia nas três dimensões de análise. A pesquisa possibilitou ainda a discussão em torno de aspectos práticos: a) a reflexão dos sujeitos sobre seus papeis e atribuições; e b) a atualização do aporte teórico, aplicado a um tema ainda pouco explorado. Deste trabalho, fica um convite a novas pesquisas sobre o discurso do orientador, trazendo à tona não apenas sua voz, conforme a fala literal de um dos entrevistados, mas também contribuições diretas e significativas aos estudos em Linguística e Linguística Aplicada no Brasil

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[ES]Este trabajo de fin de grado (TFG) pretende analizar la evolución de la demanda en el sistema eléctrico peninsular y la potencia disponible para decidir si, en el medio plazo, será necesario incorporar nueva potencia o prescindir de alguna de las centrales existentes. El estudio considerará tanto fuentes de energía renovables como no renovables, centrándose en la necesidad, o no, de incorporar nueva potencia eólica. El TFG considerará los siguientes aspectos: el contexto energético de la península española, el análisis de la situación actual y previsiones. Este TFG responde a la necesidad de realizar una buena gestión energética con el objetivo reducir las emisiones de CO2 mejorando el uso de la energía eólica y optimizando el mix energético.

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Las previsiones del número de personas mayores en España para el año 2050 se han disparado. Un aumento de la población mayor que supondrá grandes dificultades para un sistema público de pensiones cuya viabilidad está en duda. España es un país en el que la cultura del ahorro a través de la vivienda en propiedad está muy arraigada. Sin embargo, en la actualidad existe un auge de las personas que optan por el alquiler como forma de residencia. Por ello, durante este trabajo se analiza la vida de una persona que optará bien por la compra de una vivienda o bien por el alquiler de una vivienda para complementar su futura pensión pública. Mediante la compra de vivienda, y una vez amortizado el préstamo hipotecario que deberá soportar, se le presentaran los productos denominados vivienda pensión e hipoteca inversa para financiar las posibles necesidades que puedan surgir en su jubilación. Por otro lado, el arrendatario optara por un producto de ahorro a largo plazo, cuya rentabilidad variara a lo largo del tiempo en función de su aversión al riesgo, de manera que llegado el momento de la jubilación disponga de un capital.

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Research on assessment and monitoring methods has primarily focused on fisheries with long multivariate data sets. Less research exists on methods applicable to data-poor fisheries with univariate data sets with a small sample size. In this study, we examine the capabilities of seasonal autoregressive integrated moving average (SARIMA) models to fit, forecast, and monitor the landings of such data-poor fisheries. We use a European fishery on meagre (Sciaenidae: Argyrosomus regius), where only a short time series of landings was available to model (n=60 months), as our case-study. We show that despite the limited sample size, a SARIMA model could be found that adequately fitted and forecasted the time series of meagre landings (12-month forecasts; mean error: 3.5 tons (t); annual absolute percentage error: 15.4%). We derive model-based prediction intervals and show how they can be used to detect problematic situations in the fishery. Our results indicate that over the course of one year the meagre landings remained within the prediction limits of the model and therefore indicated no need for urgent management intervention. We discuss the information that SARIMA model structure conveys on the meagre lifecycle and fishery, the methodological requirements of SARIMA forecasting of data-poor fisheries landings, and the capabilities SARIMA models present within current efforts to monitor the world’s data-poorest resources.

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Two approaches are used to estimate the economic impact of domestic wild shrimp, Penaeus sp., fishing in Terrebonne Parish, Louisiana. A 2002 survey of commercial shrimp fishermen in the Parish yields information on sales and operating costs, and results are used to estimate a 1-yr sales effect in the Parish of $36.7 to $128.1 million due to shrimp fishing. In addition, 2001 shrimp ticket sales data ($49.9 million) are input into a REMI (Regional Economic Models, Inc.) model built for the 4-parish bayou region of Louisiana. The REMI model forecasts a year 1 reduction in gross regional product (GRP) of $45.9 million in the 4-parish area if the shrimp fishing industry were to disappear in Terrebonne Parish, and an 8-yr cumulative negative impact on GRP in the bayou region of $191.3 million. Study limitations and suggestions for future research are included.

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With its genesis in New England during the 1800's, the purse seine fishery for Atlantic menhaden, Brevoortia tyrannus, expanded south and by the early 1900's ranged the length of the eastern seaboard. The purse seine fishery for Gulf menhaden. B. patronus, is of relatively recent development, exploitation of the stock beginning in the late 1940's. Landings from both fisheries annually comprise 35-40% of the total U. S. fisheries landings, ranking menhaden first in terms of volume landed. Technological advances in harvesting methods, fish-spotting capabilities, and vessel designs accelerated after World War II, resulting in larger, faster, and wider-ranging carrier vessels, improved speed and efficiency of the harvest, and reduction in labor requirements. Chief products of the menhaden industry are fish meal, fish oil, and solubles, but research into new product lines is underway. Since 1955 on the Atlantic coast and 1964 on the Gulf coast, the NMFS has monitored the fisheries for biostatistical data. Annual data summaries of numbers-of-fish-at-age harvested, catch tonnage, and fishing effort of the fleet form the basis of routine stock assessments and annual catch forecasts to industry for the upcoming fishing season. After landings declined in the 1960's, the Atlantic menhaden stock has recovered through the 1970's and 1980's. Exceptional year classes of Gulf menhaden in recent years account for record landings during the 1980's.

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A região Centro-Oeste do Brasil tornou-se nos últimos 40 anos grande produtora de grãos e carne bovina. As condições edafoclimáticas, o sistema de manejo do solo e o descumprimento de leis ambientais trouxeram conseqüências drásticas à região como o agravamento do processo hídrico erosivo, principalmente na Bacia do Alto Taquari (BAT). Cerca de 90% da BAT localiza-se na porção norte do estado de Mato Grosso do Sul (MS), porém os efeitos do transporte de sedimentos e volume de água são refletidos a jusante dos rios, na Bacia do Pantanal. Utilizando-se pressupostos do Painel Intergovernamental de Mudanças Climáticas (IPCC) foram estabelecidos cenários de mudanças climáticas na Bacia do Alto Taquari, visando identificar áreas com maior vulnerabilidade ao processo erosivo em função de pressões de uso da terra. Usando a modelagem dinâmica no TerraME (Environment Modeling) foram gerados cenários topopluviais até 2100, considerando-se para a temperatura do ar média anual um aumento de 1C, em cenário otimista e, em pessimista, elevações térmicas de 3C. Para a precipitação pluvial média anual um cenário foi com aumento de 15% e outro com reduções de 15%. Os dados foram espacializados no ArcGis 9.2 e exportados para o TerraView 3.2, criando-se espaços celulares e integrando-se com as informações do modelo digital do terreno do Shuttle Radar Topography Mission (SRTM) para geração dos mapas topoclimáticos e simulações de cenários no TerraMe. Os resultados apontam que 85% da área da BAT nas condições atuais as temperaturas médias variam entre 23,6 a 25,7C. As simulações térmicas no cenário otimista indicam que em 40 anos as temperaturas tendem a superar o maior limite térmico médio nas áreas ao longo do rio Taquari, no sentido Oeste-Leste. Esses valores evidenciam elevações nas taxas evapotranspiratórias de matas ciliares, indicando reduções na vazão do Taquari. Em cenário pessimista essas temperaturas antecipam sua ocorrência, em um prazo de 20 anos. Os cenários com acréscimo de 15% na precipitação pluvial mostram aumentos no volume de água precipitada na parte norte da Bacia, região mais vulnerável aos problemas de erosão hídrica. Cenários do regime térmico-hídrico apontam áreas mais sensíveis às mudanças climáticas na parte oeste da BAT e impactos ambientais também na Bacia do Pantanal. Conclui-se que o TerraME é indicado para gerar cenários de mudanças climáticas em bacias hidrográficas.