2,438 research outputs found

    Evaluating and improving the Community Land Model's sensitivity to land cover

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    Modeling studies have shown the importance of biogeophysical effects of deforestation on local climate conditions but have also highlighted the lack of agreement across different models. Recently, remote-sensing observations have been used to assess the contrast in albedo, evapotranspiration (ET), and land surface temperature (LST) between forest and nearby open land on a global scale. These observations provide an unprecedented opportunity to evaluate the ability of land surface models to simulate the biogeophysical effects of forests. Here, we evaluate the representation of the difference of forest minus open land (i.e., grassland and cropland) in albedo, ET, and LST in the Community Land Model version 4.5 (CLM4.5) using various remote-sensing and in situ data sources. To extract the local sensitivity to land cover, we analyze plant functional type level output from global CLM4.5 simulations, using a model configuration that attributes a separate soil column to each plant functional type. Using the separated soil column configuration, CLM4.5 is able to realistically reproduce the biogeophysical contrast between forest and open land in terms of albedo, daily mean LST, and daily maximum LST, while the effect on daily minimum LST is not well captured by the model. Furthermore, we identify that the ET contrast between forests and open land is underestimated in CLM4.5 compared to observation-based products and even reversed in sign for some regions, even when considering uncertainties in these products. We then show that these biases can be partly alleviated by modifying several model parameters, such as the root distribution, the formulation of plant water uptake, the light limitation of photosynthesis, and the maximum rate of carboxylation. Furthermore, the ET contrast between forest and open land needs to be better constrained by observations to foster convergence amongst different land surface models on the biogeophysical effects of forests. Overall, this study demonstrates the potential of comparing subgrid model output to local observations to improve current land surface models' ability to simulate land cover change effects, which is a promising approach to reduce uncertainties in future assessments of land use impacts on climate

    Can climate‐effective land management reduce regional warming?

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    Limiting global warming to well below 2°C is an imminent challenge for humanity. However, even if this global target can be met, some regions are still likely to experience substantial warming relative to others. Using idealized global climate simulations, we examine the potential of land management options in affecting regional climate, with a focus on crop albedo enhancement and irrigation (climate-effective land management). The implementation is performed over all crop regions globally to provide an upper bound. We find that the implementation of both crop albedo enhancement and irrigation can reduce hot temperature extremes by more than 2°C in North America, Eurasia, and India over the 21st century relative to a scenario without management application. The efficacy of crop albedo enhancement scales with the magnitude, where a cooling response exceeding 0.5°C for hot temperature extremes was achieved with a large (i.e., ≄0.08) change in crop albedo. Regional differences were attributed to the surface energy balance response with temperature changes mostly explained by latent heat flux changes for irrigation and net shortwave radiation changes for crop albedo enhancement. However, limitations do exist, where we identify warming over the winter months when climate-effective land management is temporarily suspended. This was associated with persistent cloud cover that enhances longwave warming. It cannot be confirmed if the magnitude of this feedback is reproducible in other climate models. Our results overall demonstrate that regional warming of hot extremes in our climate model can be partially mitigated when using an idealized treatment of climate-effective land management

    Water transfer and crack regimes in nano-colloidal gels

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    International audienceDirect observations of the surface and shape of model nano-colloidal gels associated with measurements of the spatial distribution of water content during drying show that air starts to significantly penetrate the sample when the material stops shrinking. We show that whether the material fractures or not during desiccation, as air penetrates the porous body, the water saturation decreases but remains almost homogeneous throughout the sample. This air-invasion is at the origin of another type of fracture due to capillary effects; these results provide a new insight in the liquid dynamics at the nano-scale. PACS number(s): 47.56.+r, 68.03.Fg, 81.40.N

    Model-guided metabolic engineering of Pseudomonas taiwanensis VLB120 for the production of methyl ketones

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    Aliphatic methyl ketones are discussed as promising novel diesel blendstocks because of their favorable cetane numbers. To achieve sustainable production of these compounds, bio-based production in engineered microbes is followed and successful synthesis in Escherichia coli1,2,3 and Pseudomonas putida4 has recently been shown. In this presentation, we report on the metabolic engineering of Pseudomonas taiwanensis VLB1205 for the production of saturated and monounsaturated medium chain methyl ketones (C11, C13, C15, C17). Major arguments for the use of this microbe are its metabolic versatility, high tolerance of organic solvents5 and ease of cultivation. P. taiwanensis VLB120 can grow on various carbon sources besides glucose such as glycerol, an important by-product of biodiesel production, as well as on major components of biomass hydrolysate such as xylose, organic acids and aromatic compounds, e.g., 4-hydroxybenzoate4. Further, its superior redox cofactor regeneration capability6 might benefit the synthesis of the reduced, aliphatic target compounds. The transformation of P. taiwanensis VLB120 into a microbial cell factory for methyl ketone production was achieved by: (i) overproduction of the fatty acyl-CoA synthetase FadB to increase acyl-CoA availability, (ii) oxidation of acyl-CoA to a trans-2-enoyl-CoA by a heterologously expressed acyl-CoA oxidase from Micrococcus luteus, (iii) conversion of this intermediate to ÎČ-hydroxyacyl-CoA and further oxidation to a ÎČ -ketoacyl-CoA by overexpression of the native fadB gene, (iv) increased thioesterase activity by overexpression of fadM to form free ÎČ -keto acids, which spontaneously decarboxylate to methyl ketones. The 1st generation production strain yielded 550 mg L-1aq methyl ketones in a batch fermentation with in situ product extraction into a second organic layer of n-decane. Further strain optimization was guided by metabolic modeling, which suggested an additional deletion of the acyl-CoA thioesterase II (tesB). TesB hydrolyzes acyl-CoA to free fatty acids, hence, reverses the desired FadD reaction. In a simple batch fermentation, the proposed gene deletion resulted in a 2.5-fold increased product titer of 1.4 g L-1aq while 9.4 g L-1aq were reached in fed-batch cultivations. Additional, successful strategies tested in parallel were the deletion of the pha operon, responsible for polyhydroxyalkanoate synthesis and deletion of a fadA homologue in the 1st generation production strain, with the later resulting in an even 4-fold improvement of the product titer. While the production of 9.4 g L-1aq is already the highest reported titer of recombinantly produced methyl ketones so far, consolidation of all successfully tested engineering strategies holds great promise to significantly boost methyl ketone production in P. taiwanensis VLB120 to even higher titers. Overall, the results of this study underline the high potential of P. taiwanensis VLB120 for the production of methyl ketones and highlight model-guided metabolic engineering as a means to rationalize and accelerate strain optimization efforts. 1Dong et al. 2018: doi:10.1101/496497 2Goh et al. 2012: doi: 10.1128/AEM.06785-11 3Goh et al. 2014: doi: 10.1016/j.ymben.2014.09.003. 4Goh et al. 2018: doi: 10.1002/bit.26558. 5RĂŒhl et al. 2009: doi: 10.1128/AEM.00225-09 6Blank et al. 2008: doi: 10.1111/j.1742-4658.2008.06648.x

    Un nouvel indicateur intĂ©grĂ© d’évaluation des dĂ©gĂąts occasionnĂ©s aux grappes par des bioagresseurs majeurs au vignoble

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    Communication faite au cours du colloque DinABio2013, 13 et 14 novembre 2013; Tours, FranceAn original and integrative evaluation indicator has been developed to quantify the cumulated damage from major pests and diseases affecting grape bunches: downy mildew, powdery mildew, gray mould and tortricid moths. It made it possible to estimate the associated crop losses and to relate them to the plant protection strategy in different modes of production (organic farming, in-transition, conventional). Thus, overall plant losses were higher in 2012 than in 2011. The in-transition growers’ strategy, with reduced copper doses but increased numbers of sprays, led to a 20% increase in average severity on bunches (essentially due to Downy mildew). The more pragmatic approach of experienced organic growers and conventional ones (higher doses and fewer sprays) reduced the yield losses. The proposed indicator is used for two purposes, i) evaluating the quantitative losses due to pest attacksand ii) differentiating them from other non-pest ones. A more detailed analysis including the impact on performance will be achieved and published soon.Un indicateur d’évaluation, l’IEDG (Indicateur d’Evaluation des DĂ©gĂąts sur Grappes), a Ă©tĂ© mis au point pour quantifier les dĂ©gĂąts cumulĂ©s dus aux principaux bioagresseurs affectant les grappes de raisin : mildiou, oĂŻdium, pourriture grise et tordeuses. Il permet d’estimer la perte de rĂ©colte imputable au cortĂšge parasitaire et de faire le lien avec la stratĂ©gie phytosanitaire adoptĂ©e (caractĂ©risĂ©e ici par l’IFT) et le mode de production (AB, conversion, conventionnel). Ainsi, les pertes sanitaires ont Ă©tĂ© supĂ©rieures en 2012 par rapport Ă  2011. La stratĂ©gie phytosanitaire des viticulteurs en conversion, basĂ©e sur des rĂ©ductions de dose de cuivre de prĂšs de 80% et des passages plus nombreux dans les parcelles, n’a pas Ă©tĂ© efficiente en 2012 avec des sĂ©vĂ©ritĂ©s proches de 20% sur grappe, essentiellement dues au mildiou. L’utilisation de doses d’applications supĂ©rieures et moins de passages dans les parcelles limite les dommages chez les autres viticulteurs. L’indicateur proposĂ© permet d’évaluer les pertes quantitatives gĂ©nĂ©rĂ©es par les attaques de bioagresseurs et de les diffĂ©rencier des autres pertes non parasitaires. Une analyse plus fine incluant l’effet rĂ©gion et l’impact sur le rendement devra ĂȘtre rĂ©alisĂ©e

    Mortality of Patients with Hematological Malignancy after Admission to the Intensive Care Unit

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    Background: The admission of patients with malignancies to an intensive care unit (ICU) still remains a matter of substantial controversy. The identification of factors that potentially influence the patient outcome can help ICU professionals make appropriate decisions. Patients and Methods: 90 adult patients with hematological malignancy (leukemia 47.8%, high-grade lymphoma 50%) admitted to the ICU were analyzed retrospectively in this single-center study considering numerous variables with regard to their influence on ICU and day-100 mortality. Results: The median simplified acute physiology score (SAPS) II at ICU admission was 55 (ICU survivors 47 vs. 60.5 for non-survivors). The overall ICU mortality rate was 45.6%. With multivariate regression analysis, patients admitted with sepsis and acute respiratory failure had a significantly increased ICU mortality (sepsis odds ratio (OR) 9.12, 95% confidence interval (CI) 1.1-99.7, p = 0.04; respiratory failure OR 13.72, 95% CI 1.39-136.15, p = 0.025). Additional factors associated with an increased mortality were: high doses of catecholamines (ICU: OR 7.37, p = 0.005; day 100: hazard ratio (HR) 2.96, p < 0.0001), renal replacement therapy (day 100: HR 1.93, p = 0.026), and high SAPS II (ICU: HR 1.05, p = 0.038; day 100: HR 1.2, p = 0.027). Conclusion: The decision for or against ICU admission of patients with hematological diseases should become increasingly independent of the underlying malignant disease
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