Patrons saisonniers de transformation du carbone et efficacité métabolique des communautés bactériennes du golfe d’Amundsen, Arctique canadien

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.

Mieux estimer la consommation de substances illicites dans une communauté ; comment allier analyses des eaux usées et données traditionnelles

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.

Estructura i dinàmica del sistema bentònic en llacunes costaneres dels aiguamolls de l'Empordà

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.

Modeling the Stream Water Nitrate Dynamics in 60,000-km(2) European Catchment, the Garonne, Southwest France

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.

Over-parameterised, uncertain 'mathematical marionettes' - How can we best use catchment water quality models? An example of an 80-year catchment-scale nutrient balance

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.

Modeling the Stream Water Nitrate Dynamics in 60,000-km(2) European Catchment, the Garonne, Southwest France

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.

Over-parameterised, uncertain 'mathematical marionettes' - How can we best use catchment water quality models? An example of an 80-year catchment-scale nutrient balance

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.

Describing long-term trends in precipitation using generalized additive models

With the current concern over climate change, descriptions of how rainfall patterns are changing over time can be useful. Observations of daily rainfall data over the last few decades provide information on these trends. Generalized linear models are typically used to model patterns in the occurrence and intensity of rainfall. These models describe rainfall patterns for an average year but are more limited when describing long-term trends, particularly when these are potentially non-linear. Generalized additive models (GAMS) provide a framework for modelling non-linear relationships by fitting smooth functions to the data. This paper describes how GAMS can extend the flexibility of models to describe seasonal patterns and long-term trends in the occurrence and intensity of daily rainfall using data from Mauritius from 1962 to 2001. Smoothed estimates from the models provide useful graphical descriptions of changing rainfall patterns over the last 40 years at this location. GAMS are particularly helpful when exploring non-linear relationships in the data. Care is needed to ensure the choice of smooth functions is appropriate for the data and modelling objectives. (c) 2008 Elsevier B.V. All rights reserved.

Seasonality and the valuation of commodity options

Price movements in many commodity markets exhibit significant seasonal patterns. However, given an observed futures price, a deterministic seasonal component at the price level is not relevant for the pricing of commodity options. In contrast, this is not true for the seasonal pattern observed in the volatility of the commodity price. Analyzing an extensive sample of soybean, corn, heating oil and natural gas options, we find that seasonality in volatility is an important aspect to consider when valuing these contracts. The inclusion of an appropriate seasonality adjustment significantly reduces pricing errors in these markets and yields more improvement in valuation accuracy than increasing the number of stochastic factors.

Climate change scenarios for precipitation extremes in Portugal

Precipitation indices are commonly used as climate change indicators. Considering four Climate Variability and Predictability-recommended indices, this study assesses possible changes in their spatial patterns over Portugal under future climatic conditions. Precipitation data from the regional climate model Consortium for Small-Scale Modelling–Climate version of the Local Model (CCLM) ensemble simulations with ECHAM5/MPI-OM1 boundary conditions are used for this purpose. For recent–past, medians and probability density functions of the CCLM-based indices are validated against station-based and gridded observational dataset from ENSEMBLES-based (gridded daily precipitation data provided by the European Climate Assessment & Dataset project) indices. It is demonstrated that the model is able to realistically reproduce not only precipitation but also the corresponding extreme indices. Climate change projections for 2071–2100 (A1B and B1 SRES scenarios) reveal significant decreases in total precipitation, particularly in autumn over northwestern and southern Portugal, though changes exhibit distinct local and seasonal patterns and are typically stronger for A1B than for B1. The increase in winter precipitation over northeastern Portugal in A1B is the most important exception to the overall drying trend. Contributions of extreme precipitation events to total precipitation are also expected to increase, mainly in winter and spring over northeastern Portugal. Strong projected increases in the dry spell lengths in autumn and spring are also noteworthy, giving evidence for an extension of the dry season from summer to spring and autumn. Although no coupling analysis is undertaken, these changes are qualitatively related to modifications in the large-scale circulation over the Euro-Atlantic area, more specifically to shifts in the position of the Azores High and associated changes in the large-scale pressure gradient over the area.

Toward vicarious calibration of microwave remote-sensing satellites in arid environments

The Soil Moisture and Ocean Salinity (SMOS) satellite marks the commencement of dedicated global surface soil moisture missions, and the first mission to make passive microwave observations at L-band. On-orbit calibration is an essential part of the instrument calibration strategy, but on-board beam-filling targets are not practical for such large apertures. Therefore, areas to serve as vicarious calibration targets need to be identified. Such sites can only be identified through field experiments including both in situ and airborne measurements. For this purpose, two field experiments were performed in central Australia. Three areas are studied as follows: 1) Lake Eyre, a typically dry salt lake; 2) Wirrangula Hill, with sparse vegetation and a dense cover of surface rock; and 3) Simpson Desert, characterized by dry sand dunes. Of those sites, only Wirrangula Hill and the Simpson Desert are found to be potentially suitable targets, as they have a spatial variation in brightness temperatures of <4 K under normal conditions. However, some limitations are observed for the Simpson Desert, where a bias of 15 K in vertical and 20 K in horizontal polarization exists between model predictions and observations, suggesting a lack of understanding of the underlying physics in this environment. Subsequent comparison with model predictions indicates a SMOS bias of 5 K in vertical and 11 K in horizontal polarization, and an unbiased root mean square difference of 10 K in both polarizations for Wirrangula Hill. Most importantly, the SMOS observations show that the brightness temperature evolution is dominated by regular seasonal patterns and that precipitation events have only little impact.

The climate of Europe 6000 years ago

Palaeoclimates across Europe for 6000 y BP were estimated from pollen data using the modern pollen analogue technique constrained with lake-level data. The constraint consists of restricting the set of modern pollen samples considered as analogues of the fossil samples to those locations where the implied change in annual precipitation minus evapotranspiration (P–E) is consistent with the regional change in moisture balance as indicated by lakes. An artificial neural network was used for the spatial interpolation of lake-level changes to the pollen sites, and for mapping palaeoclimate anomalies. The climate variables reconstructed were mean temperature of the coldest month (T c ), growing degree days above 5  °C (GDD), moisture availability expressed as the ratio of actual to equilibrium evapotranspiration (α), and P–E. The constraint improved the spatial coherency of the reconstructed palaeoclimate anomalies, especially for P–E. The reconstructions indicate clear spatial and seasonal patterns of Holocene climate change, which can provide a quantitative benchmark for the evaluation of palaeoclimate model simulations. Winter temperatures (T c ) were 1–3 K greater than present in the far N and NE of Europe, but 2–4 K less than present in the Mediterranean region. Summer warmth (GDD) was greater than present in NW Europe (by 400–800 K day at the highest elevations) and in the Alps, but >400 K day less than present at lower elevations in S Europe. P–E was 50–250 mm less than present in NW Europe and the Alps, but α was 10–15% greater than present in S Europe and P–E was 50–200 mm greater than present in S and E Europe.

A regionally informed abundance index for supporting integrative analyses across butterfly monitoring schemes

1. The rapid expansion of systematic monitoring schemes necessitates robust methods to reliably assess species' status and trends. Insect monitoring poses a challenge where there are strong seasonal patterns, requiring repeated counts to reliably assess abundance. Butterfly monitoring schemes (BMSs) operate in an increasing number of countries with broadly the same methodology, yet they differ in their observation frequency and in the methods used to compute annual abundance indices. 2. Using simulated and observed data, we performed an extensive comparison of two approaches used to derive abundance indices from count data collected via BMS, under a range of sampling frequencies. Linear interpolation is most commonly used to estimate abundance indices from seasonal count series. A second method, hereafter the regional generalized additive model (GAM), fits a GAM to repeated counts within sites across a climatic region. For the two methods, we estimated bias in abundance indices and the statistical power for detecting trends, given different proportions of missing counts. We also compared the accuracy of trend estimates using systematically degraded observed counts of the Gatekeeper Pyronia tithonus (Linnaeus 1767). 3. The regional GAM method generally outperforms the linear interpolation method. When the proportion of missing counts increased beyond 50%, indices derived via the linear interpolation method showed substantially higher estimation error as well as clear biases, in comparison to the regional GAM method. The regional GAM method also showed higher power to detect trends when the proportion of missing counts was substantial. 4. Synthesis and applications. Monitoring offers invaluable data to support conservation policy and management, but requires robust analysis approaches and guidance for new and expanding schemes. Based on our findings, we recommend the regional generalized additive model approach when conducting integrative analyses across schemes, or when analysing scheme data with reduced sampling efforts. This method enables existing schemes to be expanded or new schemes to be developed with reduced within-year sampling frequency, as well as affording options to adapt protocols to more efficiently assess species status and trends across large geographical scales.

Avaliação da genotoxicidade induzida por emissões de veículos automotores - Ctenomys minutus como organismo bioindicador

Existe um número crescente de componentes químicos lançados ao meio ambiente, muitos dos quais são capazes de induzir efeitos danosos adversos à saúde de animais e humanos, representando uma causa importante de preocupação por seus possíveis efeitos a longo prazo. O impacto ecológico e os riscos a saúde dos organismos associados com a exposição a poluentes ambientais são extremamente difíceis de se avaliar devido a muitos desses componentes serem parte de misturas complexas. Os gases produzidos pelos motores dos veículos à combustão contém diversos poluentes sabidamente genotóxicos, como óxidos de nitrogênio (NOX), monóxido de carbono (CO), óxidos de enxofre (SOx), hidrocarbonetos (HC) e seus derivados, bem como particulados, e metais (cádmio, cromo, cobre, níquel, vanádio, zinco e chumbo). Todos esses compostos isolados ou associados a outros elementos são tóxicos ou de efeito danoso aos organismos, de forma não totalmente esclarecida. Este estudo teve como objetivo verificar o possível efeito genotóxico das emissões dos automóveis em roedor nativo Ctenomys minutus cronicamente exposto, através do Ensaio Cometa (EC), comparando os resultados com o Teste de Micronúcleos (MN), ambos em sangue periférico. Levando em consideração alguns fatores que pudessem influenciar os resultados dos testes de genotoxicidade, este trabalho ainda teve como objetivos: identificar a presença de alguns agentes envolvidos na poluição gerada pelos veículos; verificar possíveis diferenças sazonais, como temperatura e ventos; e se existe influência da idade e sexo dos roedores. Os C. minutus (Octodontidae-Rodentia), foram capturados em dois campos diferentes, ambos ao lado da estrada RS/030, na cidade de Osório, Estado do Rio Grande do Sul (RS): (a) Amaral, e (b) Weber. Animais para controle externo foram capturados no Campo Maribo à cerca de 3 km de distância de outra estrada (RS/389-Osório/RS), conseqüentemente afastada das emissões dos veículos. No final do período desse estudo, foram capturados 123 animais (73 fêmeas e 50 machos).

Preços de etanol no Brasil : uma análise espacial

A introdução da tecnologia flex-fuel resultou em um expressivo aumento do consumo de etanol no Brasil, tornando-o principal concorrente da gasolina nos postos de combustíveis. Apesar disso, diferentemente da gasolina, a oferta de etanol sofre com a sazonalidade da safra de cana de açúcar, mostrando-se insuficiente para atender a demanda, incorrendo em altos preços nos períodos de entressafra. Além destes fatores, a expansão do uso de etanol como combustível enfrenta a ausência de políticas públicas claras que incentivem o mercado, assim como uma estrutura logística que permita o escoamento do produto a baixos custos. O presente trabalho buscou demonstrar como se comportam espacialmente os preços de etanol e gasolina no Brasil. Observou-se que os preços de etanol combustível ao consumidor foram menores quanto mais próximos das regiões produtoras e maiores conforme se distanciam, até se tornarem desvantajosos para o consumidor de alguns estados na medida em que a paridade de preços frente à gasolina supera o limite técnico de 70%. Observou-se também que a sazonalidade distinta das duas regiões produtoras do país define padrões sazonais de áreas que predominantemente consomem etanol ou gasolina, conforme a paridade de 70%. Este resultado indica que a necessidade de estoques e fluxos de produtos depende não apenas das condições logísticas, mas também da combinação da sazonalidade das regiões produtoras. Por fim, intencionou-se entender como e em que proporção os preços ao produtor do estado de São Paulo relacionam-se com os preços ao consumidor de outras regiões do país. Este estudo demonstrou que a velocidade de transmissão dos preços não está relacionada com a distância e que fatores logísticos e características específicas de cada mercado são os principais determinantes do comportamento dos preços ao consumidor em relação às alterações nos preços ao produtor do estado de São Paulo.