Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale

Soil organic carbon (SOC) plays a major role in the global carbon budget. It can act as a source or a sink of atmospheric carbon, thereby possibly influencing the course of climate change. Improving the tools that model the spatial distributions of SOC stocks at national scales is a priority, both for monitoring changes in SOC and as an input for global carbon cycles studies. In this paper, we compare and evaluate two recent and promising modelling approaches. First, we considered several increasingly complex boosted regression trees (BRT), a convenient and efficient multiple regression model from the statistical learning field. Further, we considered a robust geostatistical approach coupled to the BRT models. Testing the different approaches was performed on the dataset from the French Soil Monitoring Network, with a consistent cross-validation procedure. We showed that when a limited number of predictors were included in the BRT model, the standalone BRT predictions were significantly improved by robust geostatistical modelling of the residuals. However, when data for several SOC drivers were included, the standalone BRT model predictions were not significantly improved by geostatistical modelling. Therefore, in this latter situation, the BRT predictions might be considered adequate without the need for geostatistical modelling, provided that i) care is exercised in model fitting and validating, and ii) the dataset does not allow for modelling of local spatial autocorrelations, as is the case for many national systematic sampling schemes

Fertilité des sols: conclusions du rapport sur l'état des sols de France

Les sols constituent une ressource naturelle non renouvelable. Leurs usages et leur devenir représentent un enjeu collectif majeur, tant pour les activités agricoles ou sylvicoles que pour la préservation de la qualité de notre environnement. Après dix ans de travaux, le Groupement d’Intérêt Scientifique sur les sols, le Gis Sol, a dressé le premier bilan scientifiquement quantifié de l’état des sols de France métropolitaine et d’Outre-mer dans un rapport sur l’état des sols de France publié en 2011. Ce rapport relève des points positifs mais également un certain nombre de préoccupations du point de vue de la fertilité. Les sols agricoles ne présentent pas d’évolution mesurable de leur acidité, ce quiindique une bonne gestion du pH à l’échelle nationale. Le rapport fait en revanche état de teneurs en phosphore relativement faibles pour de nombreux sols, et à l’inverse de situations d’excédents très préoccupantes en raison de son impact sur la qualité des eaux et l’eutrophisation des milieux. Il pose ainsi la question de la durabilité à long terme du système agricole actuel et celle d’une meilleure valorisation des effluents d’élevage. D’assez nombreuses situations pourraient également être susceptibles de provoquer des carences en oligo-éléments pour des cultures exigeantes. Enfin, une inquiétude majeure concerne la progression de l’artificialisation des sols, qui s’est accélérée durant la dernière décennie et occasionne des pertes importantes de sols agricoles.Soils are a non-renewable, natural resource. Their uses and their future represent, therefore, a collective issue for agricultural and forestry production, as well as for the preservation of our environment. After ten years of work, the “Groupement d’intérêt scientifique sur les sols”, the Gis Sol (Soils Scientific Interest Group) has presented the first appraisal of soil quality in mainland France and its overseas territories in a report on the state of the soils in France published in 2011. This appraisal shows evidence for positive points but also highlights some concerns regarding soil fertility. Agricultural soils do not show a measurable change in their acidity, thus indicating an efficient management of pH at a national level. On the other hand, the report shows relatively low phosphorus levels for numerous soils, and inversely situations of structural excess which remain very worrying due to its impact on water quality and on the eutrophication of the environments. It also raises the questionsof the long-term sustainability of current cultivation systems and of a better treatment of effluents from livestock farming. Numerous situations also seem to be incompatible, for certain oligo-elements, with demanding cultures. At last, a major concern is the development of soil sealing, which has accelerated over the last decade and is responsible for the loss of large areas of agricultural soils

Variabilité régionale de l’incidence des bactéries multirésistantes aux antibiotiques (BMR) En France : réseau de surveillance BMR-Raisin

National audienc

Cellobiose Dehydrogenase Aryl Diazonium Modified Single Walled Carbon Nanotubes: Enhanced Direct Electron Transfer through a Positively Charged Surface

One of the challenges in the field of biosensors and biofuel cells is to establish a highly efficient electron transfer rate between the active site of redox enzymes and electrodes to fully access the catalytic potential of the biocatalyst and achieve high current densities. We report on very efficient direct electron transfer (DET) between cellobiose dehydrogenase (CDH) from Phanerochaete sordida (PsCDH) and surface modified single walled carbon nanotubes (SWCNT). Sonicated SWCNTs were adsorbed on the top of glassy carbon electrodes and modified with aryl diazonium salts generated in situ from p-aminobenzoic acid and p-phenylenediamine, thus featuring at acidic pH (3.5 and 4.5) negative or positive surface charges. After adsorption of PsCDH, both electrode types showed excellent long-term stability and very efficient DET. The modified electrode presenting p-aminophenyl groups produced a DET current density of 500,mu A cm(-2) at 200 mV vs normal hydrogen reference electrode (NHE) in a 5 mM lactose solution buffered at pH 3.5. This is the highest reported DET value so far using a CDH modified electrode and comes close to electrodes using mediated electron transfer. Moreover, the onset of the electrocatalytic current for lactose oxidation started at 70 mV vs NHE, a potential which is 50 mV lower compared to when unmodified SWCNTs were used. This effect potentially reduces the interference by oxidizable matrix components in biosensors and increases the open circuit potential in biofuel cells. The stability of the electrode was greatly increased compared with unmodified but cross-linked SWCNTs electrodes and lost only 15% of the initial current after 50 h of constant potential scanning

The management of acute venous thromboembolism in clinical practice. Results from the European PREFER in VTE Registry

Venous thromboembolism (VTE) is a significant cause of morbidity and mortality in Europe. Data from real-world registries are necessary, as clinical trials do not represent the full spectrum of VTE patients seen in clinical practice. We aimed to document the epidemiology, management and outcomes of VTE using data from a large, observational database. PREFER in VTE was an international, non-interventional disease registry conducted between January 2013 and July 2015 in primary and secondary care across seven European countries. Consecutive patients with acute VTE were documented and followed up over 12 months. PREFER in VTE included 3,455 patients with a mean age of 60.8 ± 17.0 years. Overall, 53.0 % were male. The majority of patients were assessed in the hospital setting as inpatients or outpatients (78.5 %). The diagnosis was deep-vein thrombosis (DVT) in 59.5 % and pulmonary embolism (PE) in 40.5 %. The most common comorbidities were the various types of cardiovascular disease (excluding hypertension; 45.5 %), hypertension (42.3 %) and dyslipidaemia (21.1 %). Following the index VTE, a large proportion of patients received initial therapy with heparin (73.2 %), almost half received a vitamin K antagonist (48.7 %) and nearly a quarter received a DOAC (24.5 %). Almost a quarter of all presentations were for recurrent VTE, with >80 % of previous episodes having occurred more than 12 months prior to baseline. In conclusion, PREFER in VTE has provided contemporary insights into VTE patients and their real-world management, including their baseline characteristics, risk factors, disease history, symptoms and signs, initial therapy and outcomes

Kriging based on areal summary statistics data: Effects of within-unit variability on predictions and uncertainties

Soil data are most commonly available as point-support measurements at known spatial locations. However, several potentially useful databases do not retain precise geographic coordinates, but instead attribute each measurement to some unit (a region or municipality); these data can be summarized by the mean, variance and number of observations by unit. We investigate methods for mapping based on such datasets using methods based on areato- point kriging and the linear mixed model (LMM), so that part of the variation is explained using secondary variables. We compare approaches that (i) account for the within-unit variances of primary and secondary variables, (ii) disregard variance data of the primary variable, (iii) disregard variances of the secondary variables, and (iv) disregard both. The approaches are compared through simulation and synthetic studies, before being applied for a real case study, predicting soil K2O in the French Region Centre based on measurements attributed to municipalities. Results suggest that although approach (i) is best in theory (simulations), it is less robust than approach (iii) in practice (synthetic and real case studies) when certain model assumptions might be violated. We therefore recommend approach (iii) that utilizes within- unit variances of the primary variable, but disregards those of the secondary variables. (C) 2016 Elsevier B. V. All rights reserved