988 resultados para Scale Climate Variability


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The spatial and temporal variations of Ross River virus infections reported in Queensland, Australia, between 1985 and 1996 were studied by using the Geographic Information System. The notified cases of Ross River virus infection came from 489 localities between 1985 and 1988, 805 between 1989 and 1992, and 1,157 between 1993 and 1996 (X (2)((df = 2)) = 680.9; P < 0.001). There was a marked increase in the number of localities where the cases were reported by 65 percent for the period of 1989-1992 and 137 percent for 1993-1996, compared with that for 1985-1988. The geographic distribution of the notified Ross River virus cases has expanded in Queensland over recent years. As Ross River virus disease has impacted considerably on tourism and industry, as well as on residents of affected areas, more research is required to explore the causes of the geographic expansion of the notified Ross River virus infections.

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Patterns of water supply and use in Australia and the U.S.A. differ in many ways. This results in different perceptions concerning the nature of drought and policy approaches to its management. This paper discusses the differences and similarities and explores lessons that policy makers in both countries can learn from one another. A key difference between the two countries is that whereas drought is perceived in Australia essentially in terms of its impact on agriculture, in the U.S. both perceptions and policy are also heavily influenced by the impact of drought on urban communities. This has led to different policy emphases. In 1992 Australia established its National Drought Policy; the U.S. is presently considering the adoption of a national drought policy. These policies highlight drought being accepted as part of natural climate variability, rather than as a natural disaster. They also emphasize the protection of the natural resource base.

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The influence of the large-scale climatic variability dominant modes in the Pacific and in the Atlantic on Amazonian rainfall is investigated. The composite technique of the Amazon precipitation anomalies is used in this work. The basis years for these composites arc those in the period 1960-1998 with occurrences of extremes in the Southern Oscillation (El Niño or La Niña) and the north/south warm (or cold) sea surface temperature (SST) anomalies dipole pattern in the tropical Atlantic. Warm (cold) dipole means positive (negative) anomalies in the tropical North Atlantic and negative (positive) anomalies in the tropical South Atlantic. Austral summer and autumn composites for extremes in the Southern Oscillation (El Niño or La Niña) and independently for north/south dipole pattern (warm or cold) of the SST anomalies in the tropical Atlantic present values (magnitude and sign) consistent with those found in previous works on the relationship between Amazon rainfall variations and the SST anomalies in the tropical Pacific and Atlantic. However, austral summer and autumn composites for the years with simultaneous occurrences of El Niño and warm north/south dipole of the SST anomalies in the tropical Atlantic show negative precipitation anomalies extending eastward over the center-eastern Amazon. This result indicates the important role played by the tropical Atlantic in the Amazon anomalous rainfall distribution.

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Malaria has still been one of the most important endemic diseases in the Amazonian region. This study presents the impact of human settlements on the structure of Anopheles population. Diversity, abundance, richness and distribution of the genus Anopheles were observed in two areas with different levels of human settlement in the Cantá city, Roraima State, Northern Brazil. The influence of the dry and rainy seasons on mosquito populations was also observed. Mosquito captures were performed between 6:00 and 10:00 pm during the dry (February and November) and rainy (May and August) seasons at four different sites of each area. Among the 11 species of Anopheles identified through the adults' characteristics, An. albitarsis s.l. (45.5%) and An. darlingi (19.2%) were the most abundant in the more intensively anthropized area while An. triannulatus (19.2%) was more common in the less modified area. Other species found were An. nuneztovari (10.9%), An. oswaldoi (2.0%), An. evansae (1.7%), An. brasiliensis (0.6%), An. intermedius (0.3%), An. mediopunctatus (0.5%), An. periassui (0.08%) and An. argyritarsis (0.04%). The highest mosquitoes' population density was observed in May and the lowest one was observed in February and November. These results demonstrate the existence of a high diversity of anophelines in the study areas, showing that anthropic changes in the environment and climate variability affect both the population density and relative abundance of these vectors.

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A factor limiting preliminary rockfall hazard mapping at regional scale is often the lack of knowledge of potential source areas. Nowadays, high resolution topographic data (LiDAR) can account for realistic landscape details even at large scale. With such fine-scale morphological variability, quantitative geomorphometric analyses become a relevant approach for delineating potential rockfall instabilities. Using digital elevation model (DEM)-based ?slope families? concept over areas of similar lithology and cliffs and screes zones available from the 1:25,000 topographic map, a susceptibility rockfall hazard map was drawn up in the canton of Vaud, Switzerland, in order to provide a relevant hazard overview. Slope surfaces over morphometrically-defined thresholds angles were considered as rockfall source zones. 3D modelling (CONEFALL) was then applied on each of the estimated source zones in order to assess the maximum runout length. Comparison with known events and other rockfall hazard assessments are in good agreement, showing that it is possible to assess rockfall activities over large areas from DEM-based parameters and topographical elements.

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Understanding niche evolution, dynamics, and the response of species to climate change requires knowledge of the determinants of the environmental niche and species range limits. Mean values of climatic variables are often used in such analyses. In contrast, the increasing frequency of climate extremes suggests the importance of understanding their additional influence on range limits. Here, we assess how measures representing climate extremes (i.e., interannual variability in climate parameters) explain and predict spatial patterns of 11 tree species in Switzerland. We find clear, although comparably small, improvement (+20% in adjusted D(2), +8% and +3% in cross-validated True Skill Statistic and area under the receiver operating characteristics curve values) in models that use measures of extremes in addition to means. The primary effect of including information on climate extremes is a correction of local overprediction and underprediction. Our results demonstrate that measures of climate extremes are important for understanding the climatic limits of tree species and assessing species niche characteristics. The inclusion of climate variability likely will improve models of species range limits under future conditions, where changes in mean climate and increased variability are expected.

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The northern Humboldt Current system (NHCS) off Peru is one of the most productive world marine regions. It represents less than 0.1% of the world ocean surface but presently sustains about 10% of the world fish catch, with the Peruvian anchovy or anchoveta Engraulis ringens as emblematic fish resource. Compared with other eastern boundary upwelling systems, the higher fish productivity of the NHCS cannot be explained by a corresponding higher primary productivity. On another hand, the NHCS is the region where El Niño, and climate variability in general, is most notable. Also, surface oxygenated waters overlie an intense and extremely shallow Oxygen Minimum Zone (OMZ). In this context, the main objective of this study is to better understand the trophic flows in the NHCS using both stomach content and stable isotope analyses. The study focuses on a variety of organisms from low trophic levels such as zooplankton to top predators (seabirds and fur seals). The approach combines both long-term and specific studies on emblematic species such as anchoveta, and sardine Sardinops sagax and a more inclusive analysis considering the 'global' food web in the recent years (2008 – 2012) using stable isotope analysis. Revisiting anchovy and sardine we show that whereas phytoplankton largely dominated anchoveta and sardine diets in terms of numerical abundance, the carbon content of prey items indicated that zooplankton was by far the most important dietary component. Indeed for anchovy euphausiids contributed 67.5% of dietary carbon, followed by copepods (26.3%). Selecting the largest prey, the euphausiids, provide an energetic advantage for anchoveta in its ecosystem where oxygen depletion imposes strong metabolic constrain to pelagic fish. Sardine feed on smaller zooplankton than do anchoveta, with sardine diet consisting of smaller copepods and fewer euphausiids than anchoveta diet. Hence, trophic competition between sardine and anchovy in the northern Humboldt Current system is minimized by their partitioning of the zooplankton food resource based on prey size, as has been reported in other systems. These results suggest an ecological role for pelagic fish that challenges previous understanding of their position in the foodweb (zooplanktophagous instead of phytophagous), the functioning and the trophic models of the NHCS. Finally to obtain a more comprehensive vision of the relative trophic position of NHCS main components we used stable isotope analyses. For that purpose we analyzed the δ13C and δ15N stable isotope values of thirteen taxonomic categories collected off Peru from 2008 - 2011, i.e., zooplankton, fish, squids and air-breathing top predators. The δ15N isotope signature was strongly impacted by the species, the body length and the latitude. Along the Peruvian coast, the OMZ get more intense and shallow south of ~7.5ºS impacting the baseline nitrogen stable isotopes. Employing a linear mixed-effects modelling approach taking into account the latitudinal and body length effects, we provide a new vision of the relative trophic position of key ecosystem components. Also we confirm stomach content-based results on anchoveta Engraulis ringens and highlight the potential remarkable importance of an often neglected ecosystem component, the squat lobster Pleuroncodes monodon. Indeed, our results support the hypothesis according to which this species forage to some extent on fish eggs and larvae and can thus predate on the first life stages of exploited species. However, the δ13C values of these two species suggest that anchoveta and squat lobster do not exactly share the same habitat. This would potentially reduce some direct competition and/or predation.

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Understanding tree recruitment is needed to forecast future forest distribution. Many studies have reported the relevant ecological factors that affect recruitment success in trees, but the potential for genetic-based differences in recruitment has often been neglected. In this study, we established a semi-natural reciprocal sowing experiment to test for local adaptation and microenvironment effects (evaluated here by canopy cover) in the emergence and early survival of maritime pine (Pinus pinaster Aiton), an emblematic Mediterranean forest tree. A novel application of molecular markers was also developed to test for family selection and, thus, for potential genetic change over generations. Overall, we did not find evidence to support local adaptation at the recruitment stage in our semi-natural experiment. Moreover, only weak family selection (if any) was found, suggesting that in stressful environments with low survival, stochastic processes and among-year climate variability may drive recruitment. Nevertheless, our study revealed that, at early stages of recruitment, microenvironments may favor the population with the best adapted life strategy, irrespectively of its (local or non-local) origin. We also found that emergence time is a key factor for seedling survival in stressful Mediterranean environments. Our study highlights the complexity of the factors influencing the early stages of establishment of maritime pine and provides insights into possible management actions aimed at environmental change impact mitigation. In particular, we found that the high stochasticity of the recruitment process in stressful environments and the differences in population-specific adaptive strategies may difficult assisted migration schemes.

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[cat] En un context de canvi climàtic cal estudiar les vulnerabilitats del territori a escala local. En aquest treball s'analitza la producció d'oli de qualitat en un indret de la Catalunya seca, Cabacés (el Priorat), i es posa en relació amb la variabilitat climàtica. Els resultats mostren que el clima té una influència important en la producció d'olives, sobretot les temperatures màximes del mes d'abril i les precipitacions del mes més sec, juliol. S'obté un model de regressió múltiple a partir d'aquestes dues variables climàtiques més influents en la producció. No obstant això, els valors del model s'allunyen dels reals a partir de l'any 2003 a causa d'un creixement molt elevat de la producció per l'extensió del reg de suport. Les futures vulnerabilitats no només depenen del canvi climàtic, sinó dels efectes del canvi global, fenomen que també engloba tots aquells canvis en els usos, hàbits i consums del territori.

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Kirjallisuusarvostelu

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The climate variability between the growth and harvesting of sugar cane is very important because it directly affects yield. The MODIS sensor has characteristics like spatial and temporal resolution that can be applied to monitoring of vegetative vigor variability in the land surface and then, temporal profiles generation. Agro meteorological data from ECMWF model are free and easy to access and have a good representation of reality. In this study, we used the period between sugar cane growth and harvest in the state of Sao Paulo, Brazil, from temporal profiles selecting of NDVI behavior. For each period the precipitation, evapotranspiration, global radiation, length (days) and degree-days were accumulated. The periods were presented in a map format on MODIS spatial resolution of 250 meters. The results showed the spatial variability of climate variables and the relationship to the reality presented by official data.

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Au-delà des variables climatiques, d’autres facteurs non climatiques sont à considérer dans l’analyse de la vulnérabilité et de l’adaptation au changement et variabilité climatiques. Cette mutation de paradigme place l’agent humain au centre du processus d’adaptation au changement climatique, notamment en ce qui concerne le rôle des réseaux sociaux dans la transmission des nouvelles idées. Dans le domaine de l’agriculture, le recours aux innovations est prôné comme stratégie d’adaptation. L’élaboration et l’appropriation de ces stratégies d’adaptation peuvent être considérées comme des processus d’innovation qui dépendent autant du contexte social et culturel d’un territoire, de sa dynamique, ainsi que de la stratégie elle-même. Aussi, l’appropriation et la diffusion d’une innovation s’opèrent à partir d’un processus décisionnel à l’échelle de l’exploitation agricole, qui à son tour, demande une compréhension des multiples forces et facteurs externes et internes à l’exploitation et les multiples objectifs de l’exploitant. Ainsi, la compréhension de l’environnement décisionnel de l’exploitant agricole à l’échelle de la ferme est vitale, car elle est un préalable incontournable au succès et à la durabilité de toute politique d’adaptation de l’agriculture. Or, dans un secteur comme l’agriculture, il est reconnu que les réseaux sociaux par exemple, jouent un rôle crucial dans l’adaptation notamment, par le truchement de la diffusion des innovations. Aussi, l’objectif de cette recherche est d’analyser comment les exploitants agricoles s’approprient et conçoivent les stratégies d’adaptation au changement et à la variabilité climatiques dans une perspective de diffusion des innovations. Cette étude a été menée en Montérégie-Ouest, région du sud-ouest du Québec, connue pour être l’une des plus importantes régions agricoles du Québec, en raison des facteurs climatiques et édaphiques favorables. Cinquante-deux entrevues ont été conduites auprès de différents intervenants à l’agriculture aux niveaux local et régional. L’approche grounded theory est utilisée pour analyser, et explorer les contours de l’environnement décisionnel des exploitants agricoles relativement à l’utilisation des innovations comme stratégie d’adaptation. Les résultats montrent que les innovations ne sont pas implicitement conçues pour faire face aux changements et à la variabilité climatiques même si l’évolution du climat influence leur émergence, la décision d’innover étant largement déterminée par des considérations économiques. D’autre part, l‘étude montre aussi une faiblesse du capital sociale au sein des exploitants agricoles liée à l’influence prépondérante exercée par le secteur privé, principal fournisseur de matériels et intrants agricoles. L’influence du secteur privé se traduit par la domination des considérations économiques sur les préoccupations écologiques et la tentation du profit à court terme de la part des exploitants agricoles, ce qui pose la problématique de la soutenabilité des interventions en matière d’adaptation de l’agriculture québécoise. L’étude fait ressortir aussi la complémentarité entre les réseaux sociaux informels et les structures formelles de soutien à l’adaptation, de même que la nécessité d’établir des partenariats. De plus, l’étude place l’adaptation de l’agriculture québécoise dans une perspective d’adaptation privée dont la réussite repose sur une « socialisation » des innovations, laquelle devrait conduire à l’émergence de processus institutionnels formels et informels. La mise en place de ce type de partenariat peut grandement contribuer à améliorer le processus d’adaptation à l’échelle locale.

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Numerous studies have proven an effect of a probable climate change on the hydrosphere’s different subsystems. In the 21st century global and regional redistribution of water has to be expected and it is very likely that extreme weather phenomenon will occur more frequently. From a global view the flood situation will exacerbate. In contrast to these discoveries the classical approach of flood frequency analysis provides terms like “mean flood recurrence interval”. But for this analysis to be valid there is a need for the precondition of stationary distribution parameters which implies that the flood frequencies are constant in time. Newer approaches take into account extreme value distributions with time-dependent parameters. But the latter implies a discard of the mentioned old terminology that has been used up-to-date in engineering hydrology. On the regional scale climate change affects the hydrosphere in various ways. So, the question appears to be whether in central Europe the classical approach of flood frequency analysis is not usable anymore and whether the traditional terminology should be renewed. In the present case study hydro-meteorological time series of the Fulda catchment area (6930 km²), upstream of the gauging station Bonaforth, are analyzed for the time period 1960 to 2100. At first a distributed catchment area model (SWAT2005) is build up, calibrated and finally validated. The Edertal reservoir is regulated as well by a feedback control of the catchments output in case of low water. Due to this intricacy a special modeling strategy has been necessary: The study area is divided into three SWAT basin models and an additional physically-based reservoir model is developed. To further improve the streamflow predictions of the SWAT model, a correction by an artificial neural network (ANN) has been tested successfully which opens a new way to improve hydrological models. With this extension the calibration and validation of the SWAT model for the Fulda catchment area is improved significantly. After calibration of the model for the past 20th century observed streamflow, the SWAT model is driven by high resolution climate data of the regional model REMO using the IPCC scenarios A1B, A2, and B1, to generate future runoff time series for the 21th century for the various sub-basins in the study area. In a second step flood time series HQ(a) are derived from the 21st century runoff time series (scenarios A1B, A2, and B1). Then these flood projections are extensively tested with regard to stationarity, homogeneity and statistical independence. All these tests indicate that the SWAT-predicted 21st-century trends in the flood regime are not significant. Within the projected time the members of the flood time series are proven to be stationary and independent events. Hence, the classical stationary approach of flood frequency analysis can still be used within the Fulda catchment area, notwithstanding the fact that some regional climate change has been predicted using the IPCC scenarios. It should be noted, however, that the present results are not transferable to other catchment areas. Finally a new method is presented that enables the calculation of extreme flood statistics, even if the flood time series is non-stationary and also if the latter exhibits short- and longterm persistence. This method, which is called Flood Series Maximum Analysis here, enables the calculation of maximum design floods for a given risk- or safety level and time period.

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Introducción: En Colombia, no existe una herramienta para cuantificar el grado de congestión de los servicios de urgencias que sea aplicable a su realidad. Por esta razón, este trabajo busca determinar si la escala NEDOCS es una herramienta válida para medir el grado de congestión en este medio. Métodos: Se calculó la escala durante un período de tres semanas, durante 6 veces en el día a la misma hora en las tres instituciones. Para la validación, se comparó la escala NEDOCS contra dos escalas tipo Likert de 6 preguntas. Además, se describió el porcentaje de la demanda no atendida y del número de quejas. Resultados: Para la escala, la variabilidad se explica en 88 %. Por otro lado, la correlación entre la severidad en la congestión de los últimos 3 ítems de la escala con las opiniones subjetivas fue directa y significativa (r = 1,000., p < 0.000). Se obtuvo una correspondencia significativa con las siguientes variables: a) disponibilidad de camas (r = 0.7, p < 0.001); b) promedio de tiempo de espera, (r = 0,56, p < 0.021). Discusión: Dado que no existe gold standard, las mediciones de la escala en comparación con las opiniones del personal arrojan que la escala NEDOCS aplicada en los servicios de urgencias colombianos es útil para medir congestión. Se observó como fenómeno especial que el personal se encuentra acostumbrado a “vivir con la congestión”, por lo cual el personal considera como congestión del servicio los momentos de alto stress laboral.

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El presente trabajo de grado tiene como fin evidenciar las relaciones entre los instrumentos de planificación y los impactos de fenómenos de variabilidad climática en territorios vulnerables. Se analizan los factores de vulnerabilidad, amenaza y riesgo en la Ciénaga de la Virgen en Cartagena así como algunas de las decisiones de planificación tomadas durante el periodo estudiado (2001-2011) para finalmente identificar aquellos retos que deben ser tenidos en cuenta por futuros ejercicios de planificación con el fin de mitigar los factores de vulnerabilidad y hacer más resiliente el territorio estudiado.