977 resultados para seasonal patterns


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Fish assemblage composition and seasonal patterns of species abundance were studied in Cabaceiras stream, a tributary of the Mogi Guaçu river in São Paulo State, Brazil. Three stations were sampled monthly from June 1999 to May 2000 using sieves and small trawl net and gill nets. Fifteen fish families, 37 genera and 45 species were captured. Characiformes (27 spp.) and Siluriformes (13 spp.) were the most species-rich orders. Gymnotiformes and Perciformes were represented by two species each, and Synbranchiformes had only a single species. One group of species (approximately 75 %) persisted in the stream throughout the year. A second group (approximately 25 %) contained species that only occupy the stream for a limited period of their life cycle, and overall fish assemblage composition was associated with the seasonal flood cycle.

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Sandflies were collected in the base of tree-trunks in the seasons of high and least rainfall in the Ducke Forest Reserve, near Manaus in the State of Amazonas. Lutzomyia umbratilis was the most abundant sandfly species. Caryocar villosum, Chrysophyllum amazonicum, Dinizia excelsa, Eschweilera atropetiolata and Parkia multijuga were the tree species on which most sandflies were collected and relative abundance were related to trunk characteristics. Seasonal patterns of sandfly distribution in the forest were observed.

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Animals may use plant compounds to defend themselves against parasites. Wood ants, Formica paralugubris, incorporate pieces of solidified conifer resin into their nests. This behaviour inhibits the growth of bacteria and fungi in nest material and protects the ants against some detrimental microorganisms. Here, we studied the resin-collecting behaviour of ants under field and laboratory conditions. First, we focused on an important assumption of the self-medication hypothesis, which is that the animals deliberately choose the active plant material. In field cafeteria tests, the ants indeed showed a strong preference for resin over twigs and stones, which are building materials commonly encountered in their environment. We detected seasonal variation in the choice of ants: the preference for resin over twigs was more pronounced in spring than in summer, whereas in autumn the ants collected twigs and resin at equal rates. Second, we found almost similar seasonal patterns when comparing the collecting rates of pieces of wood that had been impregnated with turpentine (a distillate of oleoresin) and untreated pieces of wood, which reveals that the preference for resin is based on odour cues. Third, we tested whether the collection of resin is prophylactic or therapeutic. We found that the relative collection rate of resin versus stones did not depend on an experimental infection with the entomopathogenic fungus Metarhizium anisopliae in laboratory colonies. Together, these results show that the ants deliberately choose the resin and suggest that resin collection is prophylactic rather than therapeutic.

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OBJECTIVES: To examine whether the humoural response to malaria vaccine candidate antigens, Plasmodium falciparum [circumsporozoite repetitive sequence (NANP)(5) GLURP fragments (R0 and R2) and MSP3] varies with the level of malaria transmission and to determine whether the antibodies (IgG) present at the beginning of the malaria transmission season protect against clinical malaria. METHODS: Cross-sectional surveys were conducted to measure antibody response before, at the peak and at the end of the transmission season in children aged 6 months to 10 years in two villages with different levels of malaria transmission. A cohort study was performed to estimate the incidence of clinical malaria. RESULTS: Antibodies to these antigens showed different seasonal patterns. IgG concentrations to any of the four antigens were higher in the village with high entomological inoculation rate. Multivariate analysis of combined data from the two villages indicated that children who were classified as responders to the selected antigens were at lower risk of clinical malaria than children classified as non-responders [(NANP)(5) (incidence rate ratio (IRR) = 0.65, 95% CI: 0.46-0.92; P = 0.016), R0 (IRR = 0.69, 95% CI: 0.48-0.97; P = 0.032), R2 (IRR = 0.73, 95% CI: 0.50-1.06; P = 0.09), MSP3 (IRR = 0.52, 95% CI: 0.32-0.85; P = 0.009)]. Fitting a model with all four antibody responses showed that MSP3 looked the best malaria vaccine candidate (IRR = 0.63; 95% CI: 0.38-1.05; P = 0.08). CONCLUSION: Antibody levels to the four antigens are affected by the intensity of malaria transmission and associated with protection against clinical malaria. It is worthwhile investing in the development of these antigens as potential malaria vaccine candidates.

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Reliable estimates of heavy-truck volumes are important in a number of transportation applications. Estimates of truck volumes are necessary for pavement design and pavement management. Truck volumes are important in traffic safety. The number of trucks on the road also influences roadway capacity and traffic operations. Additionally, heavy vehicles pollute at higher rates than passenger vehicles. Consequently, reliable estimates of heavy-truck vehicle miles traveled (VMT) are important in creating accurate inventories of on-road emissions. This research evaluated three different methods to calculate heavy-truck annual average daily traffic (AADT) which can subsequently be used to estimate vehicle miles traveled (VMT). Traffic data from continuous count stations provided by the Iowa DOT were used to estimate AADT for two different truck groups (single-unit and multi-unit) using the three methods. The first method developed monthly and daily expansion factors for each truck group. The second and third methods created general expansion factors for all vehicles. Accuracy of the three methods was compared using n-fold cross-validation. In n-fold cross-validation, data are split into n partitions, and data from the nth partition are used to validate the remaining data. A comparison of the accuracy of the three methods was made using the estimates of prediction error obtained from cross-validation. The prediction error was determined by averaging the squared error between the estimated AADT and the actual AADT. Overall, the prediction error was the lowest for the method that developed expansion factors separately for the different truck groups for both single- and multi-unit trucks. This indicates that use of expansion factors specific to heavy trucks results in better estimates of AADT, and, subsequently, VMT, than using aggregate expansion factors and applying a percentage of trucks. Monthly, daily, and weekly traffic patterns were also evaluated. Significant variation exists in the temporal and seasonal patterns of heavy trucks as compared to passenger vehicles. This suggests that the use of aggregate expansion factors fails to adequately describe truck travel patterns.

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Työssä tarkastellaan, miten Nord Poolin spot-sähkömarkkinoiden systeemihinnan volatiliteetti on kehittynyt kyseisten markkinoiden kehittyessä ja onko volatiliteetin dynamiikkaa mahdollista mallintaa. Systeemihinta toimii referenssihintana sekä itse sähköpörssissä että pörssin ulkopuolella tapahtuvassa johdannaiskaupankäynnissä. Teoriaosassa luodaan katsaus Nord Pool -markkinoiden toimintaan ja systeemihinnan muodostumisen periaatteisiin. Lisäksi tutustutaan sähkön hinta-aikasarjoille tyypillisiin piirteisiin. Volatiliteetin mallinnus tapahtuu autoregressiivistä konditionaalista heteroskedastista (ARCH) mallia sekä sen laajennuksia hyödyntäen. Työn johtopäätöksinä todetaan, että sähkömarkkinoiden volatiliteettia mallinnettaessa tulisi ottaa huomioon hinnan muutosten asymmetrinen vaikutus volatiliteettiin ja volatiliteetin kausittainen vaihtelu. Lisäksi todettiin, etteivätparametrien kertoimet ole vakioita pitkällä aikavälillä tarkasteltaessa volatiliteetin ARCH-mallinnuksessa.

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Mountain regions worldwide are particularly sensitive to on-going climate change. Specifically in the Alps in Switzerland, the temperature has increased twice as fast than in the rest of the Northern hemisphere. Water temperature closely follows the annual air temperature cycle, severely impacting streams and freshwater ecosystems. In the last 20 years, brown trout (Salmo trutta L) catch has declined by approximately 40-50% in many rivers in Switzerland. Increasing water temperature has been suggested as one of the most likely cause of this decline. Temperature has a direct effect on trout population dynamics through developmental and disease control but can also indirectly impact dynamics via food-web interactions such as resource availability. We developed a spatially explicit modelling framework that allows spatial and temporal projections of trout biomass using the Aare river catchment as a model system, in order to assess the spatial and seasonal patterns of trout biomass variation. Given that biomass has a seasonal variation depending on trout life history stage, we developed seasonal biomass variation models for three periods of the year (Autumn-Winter, Spring and Summer). Because stream water temperature is a critical parameter for brown trout development, we first calibrated a model to predict water temperature as a function of air temperature to be able to further apply climate change scenarios. We then built a model of trout biomass variation by linking water temperature to trout biomass measurements collected by electro-fishing in 21 stations from 2009 to 2011. The different modelling components of our framework had overall a good predictive ability and we could show a seasonal effect of water temperature affecting trout biomass variation. Our statistical framework uses a minimum set of input variables that make it easily transferable to other study areas or fish species but could be improved by including effects of the biotic environment and the evolution of demographical parameters over time. However, our framework still remains informative to spatially highlight where potential changes of water temperature could affect trout biomass. (C) 2015 Elsevier B.V. All rights reserved.-

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The dynamics of forests subject to inundation appears to be strongly influenced by the frequency and intensity of natural disturbances such as flooding. In a late successional tidal floodplain forest near the Amazon port of Belém, Brazil, we tested this prediction by measuring seasonal patterns of phenology and litterfall in relation to two key variables: rainfall and tide levels. In addition, we estimated the root biomass and the annual growth of the forest community by measuring stem increments over time. Our results showed high correlations between phenological events (flowering and fruiting) and rainfall and tide levels, while correlations between litterfall and these variations were generally weaker. Contrary to our prediction, root biomass to 1 m depth showed no significant differences along the topographic gradient, and the root biomass at all topographic levels was low to intermediate compared with other neotropical forests. Both litterfall and total stem increment were high compared to other tropical forest, indicating the high productivity of this ecosystem.

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Affiliation: Pascal Michel : Département de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal

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Les réchauffements climatiques associés aux activités anthropiques ont soumis les écosystèmes arctiques à des changements rapides qui menacent leur stabilité à court terme. La diminution dramatique de la banquise arctique est une des conséquences les plus concrètes de ce réchauffement. Dans ce contexte, comprendre et prédire comment les systèmes arctiques évolueront est crucial, surtout en considérant comment les flux de carbone (C) de ces écosystèmes - soit des puits nets, soit des sources nettes de CO2 pour l'atmosphère - pourraient avoir des répercussions importantes sur le climat. Le but de cette thèse est de dresser un portrait saisonnier de l’activité bactérienne afin de déterminer l’importance de sa contribution aux flux de carbone en Arctique. Plus spécifiquement, nous caractérisons pour la première fois la respiration et le recours à la photohétérotrophie chez les microorganismes du golfe d’Amundsen. Ces deux composantes du cycle du carbone demeurent peu décrites et souvent omises des modèles actuels, malgré leur rôle déterminant dans les flux de C non seulement de l’Arctique, mais des milieux marins en général. Dans un premier temps, nous caractérisons la respiration des communautés microbiennes (RC) des glaces de mer. La connaissance des taux de respiration est essentielle à l’estimation des flux de C, mais encore limitée pour les milieux polaires. En effet, les études précédentes dans le golfe d’Amundsen n’ont pas mesuré la RC. Par la mesure de la respiration dans les glaces, nos résultats montrent des taux élevés de respiration dans la glace, de 2 à 3 fois supérieurs à la colonne d'eau, et une production bactérienne jusqu’à 25 fois plus importante. Ces résultats démontrent que la respiration microbienne peut consommer une proportion significative de la production primaire (PP) des glaces et pourrait jouer un rôle important dans les flux biogéniques de CO2 entre les glaces de mer et l’atmosphère (Nguyen et Maranger, 2011). Dans un second temps, nous mesurons la respiration des communautés microbiennes pélagiques du golfe d’Amundsen pendant une période de 8 mois consécutif, incluant le couvert de glace hivernal. En mesurant directement la consommation d'O2, nous montrons une RC importante, mesurable tout au long de l’année et dépassant largement les apports en C de la production primaire. Globalement, la forte consommation de C par les communautés microbiennes suggère une forte dépendance sur recyclage interne de la PP locale. Ces observations ont des conséquences importantes sur notre compréhension du potentiel de séquestration de CO2 par les eaux de l’Océan Arctique (Nguyen et al. 2012). Dans un dernier temps, nous déterminons la dynamique saisonnière de présence (ADN) et d’expression (ARN) du gène de la protéorhodopsine (PR), impliqué dans la photohétérotrophie chez les communautés bactérienne. Le gène de la PR, en conjonction avec le chromophore rétinal, permet à certaines bactéries de capturer l’énergie lumineuse à des fins énergétiques ou sensorielles. Cet apport supplémentaire d’énergie pourrait contribuer à la survie et prolifération des communautés qui possèdent la protéorhodopsine. Bien que détectée dans plusieurs océans, notre étude est une des rares à dresser un portrait saisonnier de la distribution et de l’expression du gène en milieu marin. Nous montrons que le gène de la PR est présent toute l’année et distribué dans des communautés diversifiées. Étonnamment, l’expression du gène se poursuit en hiver, en absence de lumière, suggérant soit qu’elle ne dépend pas de la lumière, ou que des sources de photons très localisées justifie l’expression du gène à des fins sensorielles et de détection (Nguyen et al., soumis au journal ISME). Cette thèse contribue à la compréhension du cycle du C en Arctique et innove par la caractérisation de la respiration et de l’efficacité de croissance des communautés microbiennes pélagiques et des glaces de mer. De plus, nous montrons pour la première fois une expression soutenue de la protéorhodopsine en Arctique, qui pourrait moduler la consommation de C par la respiration et justifier son inclusion éventuelle dans les modélisations du cycle du C. Dans le contexte des changements climatiques, il est clair que l'importance de l’activité bactérienne a été sous-estimée et aura un impact important dans le bilan de C de l'Arctique.

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Travail dirigé présenté à la Faculté des arts et sciences en vue de l'obtention du grade de Maîtrise en criminologie, option criminalistique et information.

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S'ha estudiat l'estructura i dinàmica del sistema bentònic de llacunes costaneres de la maresma dels aiguamolls de l'Empordà (NE de la península Ibèrica) i els factors que les determinen. Amb aquesta finalitat es van prendre mostres d'organismes del bentos (mensualment), nutrients i pigments de l'aigua (setmanalment) i el sediment (mensualment), així com paràmetres físics de l'aigua (setmanalment), durant dos cicles d'inundació (1997-1998 i 1998-1999). En aquesta maresma els factors determinants per als organismes bentònics i el contingut en nutrients del sediment són principalment físics: el grau de permanència de l'aigua, el confinament i la granulometria. De manera que els factors tròfics tenen menys pes que els físics tal com es posa de manifest amb les associacions de nematodes. El règim hídric de les llacunes integra des del grau de permanència de l'aigua fins a la salinitat i el confinament, per la qual cosa a partir de la caracterització dels diferents tipus de règim hídric es poden discriminar les tres tipologies d'ambients amb comunitats bentòniques diferenciades en l'estructura, la composició i la dinàmica temporal. Així, les tres comunitats diferenciades són: (1) la d'aigües permanents caracteritzada per una riquesa i diversitat elevades i constants en el temps, i per un nombre més elevat de tàxons sense adaptacions per passar situacions adverses; (2) la d'aigües semipermanents i temporànies d'inundació pulsativa, caracteritzada per una menor riquesa i diversitat, i per la dominància d'organismes amb estructures de resistència per passar la fase seca i aguantar condicions desfavorables, i (3) la d'aigües temporànies d'inundació continuada, caracteritzada per una major variabilitat de la riquesa i diversitat al llarg del cicle i per una singularitat taxonòmica més elevada, ja que s'observen cladòcers i una major representació taxonòmica dels insectes. Durant la realització d'aquest estudi els dos cicles d'inundació van suposar entrades d'aigua en el sistema diferents, per això es va diferenciar un cicle humit (1997-1998) i un de sec (1998-1999). En relació amb la major importància de les entrades d'aigua en el sistema, es va observar un contingut en nutrients de l'aigua significativament superior durant el cicle humit. Pel que fa al sediment, la seva major inèrcia explicaria la manca de diferències significatives en el contingut en nutrients del sediment del cicle humit i del sec. Ara bé, sí que s'observa diferència en la composició d'organismes. Així, la variabilitat interanual en l'estructura de la comunitat bentònica de la maresma es pot atribuir a una situació d'estrès provocada pel cicle sec. Aquesta situació va comportar un augment de la diversitat per disminució de la dominància a totes les llacunes estudiades, determinada, en gran manera, per la disminució de l'abundància original de poblacions dominants i característiques d'ambients permanents, Corophium orientale, o temporànies, Gammarus aequicauda. No existeix un patró estacional en les comunitats estudiades, sinó que els principals canvis en el plàncton i el bentos són deguts a pertorbacions hídriques. Aquestes pertorbacions provoquen que s'estableixi una situació en què dominen uns tàxons característics en el plàncton (Synchaeta i Eutintinnus) i, en canvi, que en el bentos es perdi l'estructura pròpia de les comunitats característiques dels diferents ambients (comunitats dominades per Corophium orinetale en aigües permanents i per Chironomus salinarius en temporànies). La severitat és diferent en funció del grau de permanència de l'aigua, i és més alta en ambients permanents i més baixa en els temporanis. La major severitat en ambients permanents ve determinada per la menor adaptació del bentos d'aigües permanents a les fluctuacions ambientals i a l'efecte de la predació sobre el plàncton. A més, tant en el bentos com en el plàncton es donen fenòmens d'histèresi, segons els quals l'efecte de la pertorbació no solament depèn de la causa pertorbadora sinó també de l'estat en què es troba la comunitat en el moment de la pertorbació.

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The spatial and temporal dynamics in the stream water NO3-N concentrations in a major European river-system, the Garonne (62,700 km(2)), are described and related to variations in climate, land management, and effluent point-sources using multivariate statistics. Building on this, the Hydrologiska Byrans Vattenbalansavdelning (HBV) rainfall-runoff model and the Integrated Catchment Model of Nitrogen (INCA-N) are applied to simulate the observed flow and N dynamics. This is done to help us to understand which factors and processes control the flow and N dynamics in different climate zones and to assess the relative inputs from diffuse and point sources across the catchment. This is the first application of the linked HBV and INCA-N models to a major European river system commensurate with the largest basins to be managed tinder the Water Framework Directive. The simulations suggest that in the lowlands, seasonal patterns in the stream water NO3-N concentrations emerge and are dominated by diffuse agricultural inputs, with an estimated 75% of the river load in the lowlands derived from arable farming. The results confirm earlier European catchment studies. Namely, current semi-distrubuted catchment-scale dynamic models, which integrate variations in land cover, climate, and a simple representation of the terrestrial and in-stream N cycle, are able to simulate seasonal NO3-N patterns at large spatial (> 300 km(2)) and temporal (>= monthly) scales using available national datasets.

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The Integrated Catchment Model of Nitrogen (INCA-N) was applied to the River Lambourn, a Chalk river-system in southern England. The model's abilities to simulate the long-term trend and seasonal patterns in observed stream water nitrate concentrations from 1920 to 2003 were tested. This is the first time a semi-distributed, daily time-step model has been applied to simulate such a long time period and then used to calculate detailed catchment nutrient budgets which span the conversion of pasture to arable during the late 1930s and 1940s. Thus, this work goes beyond source apportionment and looks to demonstrate how such simulations can be used to assess the state of the catchment and develop an understanding of system behaviour. The mass-balance results from 1921, 1922, 1991, 2001 and 2002 are presented and those for 1991 are compared to other modelled and literature values of loads associated with nitrogen soil processes and export. The variations highlighted the problem of comparing modelled fluxes with point measurements but proved useful for identifying the most poorly understood inputs and processes thereby providing an assessment of input data and model structural uncertainty. The modelled terrestrial and instream mass-balances also highlight the importance of the hydrological conditions in pollutant transport. Between 1922 and 2002, increased inputs of nitrogen from fertiliser, livestock and deposition have altered the nitrogen balance with a shift from possible reduction in soil fertility but little environmental impact in 1922, to a situation of nitrogen accumulation in the soil, groundwater and instream biota in 2002. In 1922 and 2002 it was estimated that approximately 2 and 18 kg N ha(-1) yr(-1) respectively were exported from the land to the stream. The utility of the approach and further considerations for the best use of models are discussed. (C) 2008 Elsevier B.V. All rights reserved.

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The spatial and temporal dynamics in the stream water NO3-N concentrations in a major European river-system, the Garonne (62,700 km(2)), are described and related to variations in climate, land management, and effluent point-sources using multivariate statistics. Building on this, the Hydrologiska Byrans Vattenbalansavdelning (HBV) rainfall-runoff model and the Integrated Catchment Model of Nitrogen (INCA-N) are applied to simulate the observed flow and N dynamics. This is done to help us to understand which factors and processes control the flow and N dynamics in different climate zones and to assess the relative inputs from diffuse and point sources across the catchment. This is the first application of the linked HBV and INCA-N models to a major European river system commensurate with the largest basins to be managed tinder the Water Framework Directive. The simulations suggest that in the lowlands, seasonal patterns in the stream water NO3-N concentrations emerge and are dominated by diffuse agricultural inputs, with an estimated 75% of the river load in the lowlands derived from arable farming. The results confirm earlier European catchment studies. Namely, current semi-distrubuted catchment-scale dynamic models, which integrate variations in land cover, climate, and a simple representation of the terrestrial and in-stream N cycle, are able to simulate seasonal NO3-N patterns at large spatial (> 300 km(2)) and temporal (>= monthly) scales using available national datasets.